{"meta":{"query_hash":"7d20a7751524","filters":{"topic":"Capital Investment and Risk Analysis"},"cohort_total":605,"direct_labels_cover":2,"predictions_cover":605,"exported":605,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7d20a7751524","api":"https://metacan.xera.ac/api/v1/cohort?topic=Capital+Investment+and+Risk+Analysis"},"results":[{"id":"W110394087","doi":"","title":"A Closer Look at Rolling Budgets: The Challenges Associated with an Effective Implementation of Rolling Budgets Are Management Challenges, and Software Technology Can Only Become Part of the Solution When Managers Are Ready to Use It to Enhance Their Decision Making","year":2004,"lang":"en","type":"article","venue":"Management accounting quarterly","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Plan (archaeology); Quarter (Canadian coin); Operations management; Software; Business; Operations research; Economics; Finance; Marketing; Engineering; Computer science; Management","score_opus":0.021491189458605075,"score_gpt":0.24468104769579221,"score_spread":0.22318985823718715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W110394087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889257,0.0037224272,0.0016127381,0.0035660588,0.00013268697,0.0017047739,0.00006696439,0.00006446612,0.00020418772],"genre_scores_gemma":[0.99581254,0.0017069338,0.001790707,0.00031359788,0.000030048353,0.00019961792,0.00001554423,0.000043986878,0.00008700752],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977747,0.0000551727,0.00075370463,0.0007609873,0.00020012126,0.0004553102],"domain_scores_gemma":[0.99788994,0.00011790891,0.001146398,0.000683929,0.00011174969,0.00005005017],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010027069,0.00033056605,0.00055682386,0.00067430857,0.0003648372,0.00011910316,0.00047037966,0.00010336718,0.000012090282],"category_scores_gemma":[0.000035087025,0.00025500517,0.00011909636,0.0004965783,0.00007918217,0.00038693118,0.00026628416,0.00014210373,0.000010031883],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067739346,0.0009810327,0.1983217,0.0013286904,0.00558211,0.000053917487,0.0652778,0.008152286,0.000057595757,0.114347324,0.00042381498,0.60479635],"study_design_scores_gemma":[0.0022539615,0.001353145,0.8561325,0.0026109824,0.00056173117,0.0000032292787,0.07877706,0.0006883745,0.00027106484,0.05462743,0.001661741,0.0010587769],"about_ca_topic_score_codex":0.0003553179,"about_ca_topic_score_gemma":0.02230959,"teacher_disagreement_score":0.6578108,"about_ca_system_score_codex":0.0003985689,"about_ca_system_score_gemma":0.000005638535,"threshold_uncertainty_score":0.9999902},"labels":[],"label_agreement":null},{"id":"W118122532","doi":"10.1007/3-540-35262-7_17","title":"Pricing Related Projects","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in economics and mathematical systems","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Stochastic game; Imperfect; Portfolio; Mathematical economics; Clearing; Project portfolio management; Economics; Microeconomics; Market clearing; Arrow; Stochastic programming; Core (optical fiber); Lagrange multiplier; Computer science; Financial economics; Mathematical optimization; Mathematics; Finance; Project management; Management","score_opus":0.019988664151108865,"score_gpt":0.19288588358396305,"score_spread":0.1728972194328542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118122532","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069225533,0.05035719,0.0036858984,0.00034687464,0.00063981634,0.0011576688,0.00014448885,0.0000774239,0.9366681],"genre_scores_gemma":[0.71883106,0.048946902,0.0017383447,0.00034915545,0.0009702744,0.00014900218,0.00034052227,0.00047295025,0.2282018],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976255,0.0000069911857,0.0013778767,0.0006444332,0.000030614905,0.00031456616],"domain_scores_gemma":[0.9986099,0.00022973971,0.0006864569,0.0003735687,0.000011772471,0.00008858414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040485573,0.0004114625,0.0012779194,0.00042333102,0.00006742299,0.00017975405,0.00015758736,0.00063660904,0.00015597072],"category_scores_gemma":[0.00006722917,0.00040492864,0.0002298266,0.000049210692,0.000100802965,0.000089750036,0.000077419616,0.00037118208,0.0003424111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028618797,0.000024405563,0.00009857889,0.0002014155,0.00012214076,0.000007562554,0.00016120069,0.0010681312,4.75443e-7,0.9977639,0.00007052987,0.00047880143],"study_design_scores_gemma":[0.00028475214,0.000036723697,0.000017568178,0.0001883315,0.000040469487,0.00002358095,0.000004984061,0.051386703,0.000003249505,0.9079678,0.039527576,0.00051827246],"about_ca_topic_score_codex":0.0001983732,"about_ca_topic_score_gemma":0.000075232456,"teacher_disagreement_score":0.71190846,"about_ca_system_score_codex":0.000212731,"about_ca_system_score_gemma":0.000019124966,"threshold_uncertainty_score":0.99984026},"labels":[],"label_agreement":null},{"id":"W122619009","doi":"10.15173/esr.v14i1.485","title":"The Dynamics of Risk Premiums in Nord Pool's Futures Market","year":2006,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Normal backwardation; Convenience yield; Futures contract; Spot contract; Arbitrage; Economics; Contango; Yield (engineering); Financial economics; Commodity; Risk premium; Microeconomics; Finance","score_opus":0.016851049125149058,"score_gpt":0.233674395366056,"score_spread":0.21682334624090693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W122619009","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059996857,0.97593755,0.000026500691,0.00088309037,0.00018016313,0.0000734688,0.000048978,0.000007531907,0.016843064],"genre_scores_gemma":[0.08623144,0.908678,0.000054530254,0.00016501568,0.00007321773,0.000032645243,0.000015169459,0.000009044429,0.004740951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881303,0.00004051425,0.0007297567,0.00020700146,0.0000370194,0.00017269683],"domain_scores_gemma":[0.99904686,0.00016067682,0.00046147895,0.00028306746,0.000032032694,0.000015875927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005720521,0.00012837729,0.00059658237,0.0000787051,0.00012543089,0.000012851722,0.00017784174,0.000033294353,0.00007969627],"category_scores_gemma":[0.00015147898,0.00008973978,0.00022370505,0.00038544016,0.000102728,0.000050245824,0.00008043735,0.000070726324,0.000013151976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049754053,0.000047643003,0.017113354,0.00021853471,0.00022118438,0.0000015523683,0.000055997683,0.000075612166,6.0490486e-8,0.93657184,0.0309875,0.014701738],"study_design_scores_gemma":[0.00038030857,0.000042836873,0.0740614,0.0005147125,0.00016055383,0.000001211686,0.00038769597,0.0036585056,0.000007746841,0.1797419,0.74061936,0.0004237504],"about_ca_topic_score_codex":0.0021804026,"about_ca_topic_score_gemma":0.016552111,"teacher_disagreement_score":0.7568299,"about_ca_system_score_codex":0.00008346125,"about_ca_system_score_gemma":0.0000047160406,"threshold_uncertainty_score":0.9236466},"labels":[],"label_agreement":null},{"id":"W140293604","doi":"","title":"Incorporating Knowledge Building in Real Options Analysis of Technology Project Investment.","year":2010,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rework; Valuation (finance); Investment (military); Linkage (software); Option value; Work (physics); Return on investment; Business; Knowledge management; Risk analysis (engineering); Computer science; Finance; Economics; Engineering; Microeconomics; Production (economics)","score_opus":0.05585366340347825,"score_gpt":0.302168960910389,"score_spread":0.24631529750691072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W140293604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8036,0.00016496227,0.00066501566,0.00025672547,0.0008921061,0.00029098612,0.00025052493,0.000051155384,0.19382848],"genre_scores_gemma":[0.998738,0.00018012899,0.00054329896,0.000028773393,0.000033187906,0.00007677914,0.00017272962,0.0000041426174,0.00022299706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986054,0.000011827165,0.001036116,0.0001525692,0.00007927386,0.000114861046],"domain_scores_gemma":[0.9987249,0.000028127226,0.00080209965,0.00020598574,0.00021005877,0.00002882832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048519735,0.00010835418,0.00034345215,0.004305544,0.000044456785,0.00012372754,0.00028599013,0.00012599891,0.00009843398],"category_scores_gemma":[0.00009753716,0.000113202834,0.000111121175,0.0014990236,0.00006831344,0.0007037377,0.000051115272,0.00018836407,0.00012141773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004999258,0.000043181797,0.04370215,0.000009610071,0.00021920608,2.5797397e-7,0.00060553924,0.00064393703,0.00018792452,0.9544518,0.000041179315,0.00009022599],"study_design_scores_gemma":[0.0006326783,0.00007359424,0.018532027,0.000071381066,0.00005959292,0.0000027850028,0.002342927,0.9333367,0.00020795173,0.037043408,0.00736854,0.0003284593],"about_ca_topic_score_codex":0.0013631895,"about_ca_topic_score_gemma":0.00038419585,"teacher_disagreement_score":0.9326927,"about_ca_system_score_codex":0.00010364645,"about_ca_system_score_gemma":0.000051949206,"threshold_uncertainty_score":0.46162775},"labels":[],"label_agreement":null},{"id":"W1434240681","doi":"10.3233/jem-2003-0182","title":"On the meaning of real value and quantity indices","year":2001,"lang":"en","type":"article","venue":"Journal of Economic and Social Measurement","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Meaning (existential); Value (mathematics); Economics; Sociology; Econometrics; Statistics; Epistemology; Mathematics; Philosophy","score_opus":0.09697379175511076,"score_gpt":0.24912708691457885,"score_spread":0.1521532951594681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1434240681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895977,0.0030933092,0.000022352859,0.0011195255,0.00015007381,0.00004537615,0.0000056006984,0.0000014515097,0.0059646545],"genre_scores_gemma":[0.994285,0.0053825066,0.000035682388,0.00011132385,0.00014452956,7.2359364e-7,2.3633905e-7,0.0000049657897,0.000035021654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999221,0.000023143379,0.0005185599,0.00009296259,0.00005140651,0.000092890405],"domain_scores_gemma":[0.99911726,0.000044273256,0.0007191525,0.00005280244,0.000030235948,0.00003626549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014483021,0.00007362573,0.00032278788,0.000113763825,0.00013623523,0.000041443614,0.00008201267,0.000042596483,0.0000670617],"category_scores_gemma":[0.000033550685,0.000057117617,0.000116909694,0.00003337097,0.0000798705,0.00011242151,0.000018778888,0.0000960836,0.000006487179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003399553,0.000035427394,0.043512166,0.0000070539995,0.00020173412,0.0000010043117,0.0013467456,0.000024477722,0.000036125315,0.95421714,0.0002967063,0.0002874375],"study_design_scores_gemma":[0.0022313383,0.00077616156,0.26289824,0.00008501374,0.00021196726,0.000019489176,0.004862185,0.001735153,0.00030625184,0.72048974,0.0059368606,0.00044760221],"about_ca_topic_score_codex":0.00030012632,"about_ca_topic_score_gemma":0.00011550339,"teacher_disagreement_score":0.2337274,"about_ca_system_score_codex":0.00010422643,"about_ca_system_score_gemma":0.000020947697,"threshold_uncertainty_score":0.23291887},"labels":[],"label_agreement":null},{"id":"W1479770823","doi":"","title":"Optimal Harvesting of a Renewable Resource: A Mathematical Model","year":2014,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Resource (disambiguation); Renewable resource; Renewable energy; Natural resource economics; Environmental economics; Economics; Computer science; Business; Engineering","score_opus":0.03429637575333959,"score_gpt":0.21278672922257924,"score_spread":0.17849035346923964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1479770823","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2846151,0.00080427283,0.16357836,0.00032128167,0.000016734188,0.00008010623,0.000013689171,0.000047561098,0.55052286],"genre_scores_gemma":[0.8829716,0.000048424863,0.06045171,0.00016192954,0.000040766787,0.0000071141,0.000006730916,0.000016590968,0.056295164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991899,0.0000055272694,0.00043907342,0.00018581557,0.000027922275,0.0001517314],"domain_scores_gemma":[0.9994932,0.000042410375,0.00016522345,0.000228584,0.000012905243,0.00005767141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004150205,0.0000775987,0.00030473204,0.0001309265,0.000040770974,0.000028990878,0.000118955315,0.000049411217,0.00043032062],"category_scores_gemma":[0.00011741359,0.00007345635,0.0001280597,0.00014088328,0.000047434994,0.000094737894,0.000047862173,0.000044488734,0.00021179189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031094016,0.000049991155,0.0005390749,0.000019587302,0.000024576791,1.5219192e-7,0.00018419862,0.03977002,0.00005392337,0.9576329,0.0016688514,0.000053595875],"study_design_scores_gemma":[0.00013993004,0.000023116676,0.00003666536,0.0000066531006,0.000007738745,6.3893856e-7,0.000040377494,0.80657,0.0002754968,0.1904839,0.0023297411,0.00008576283],"about_ca_topic_score_codex":0.0002156454,"about_ca_topic_score_gemma":0.000011243501,"teacher_disagreement_score":0.76714903,"about_ca_system_score_codex":0.0000143410425,"about_ca_system_score_gemma":0.0000046574896,"threshold_uncertainty_score":0.4711709},"labels":[],"label_agreement":null},{"id":"W1480224398","doi":"10.1108/02686900510570704","title":"Real‐option valuation of research and development investments","year":2005,"lang":"en","type":"article","venue":"Managerial Auditing Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Balanced scorecard; Valuation (finance); Exploit; Performance measurement; Passive income; Computer science; Commercialization; Originality; Risk analysis (engineering); Business; Actuarial science; Economics; Accounting; Process management; Marketing","score_opus":0.13940634292129672,"score_gpt":0.3078788170860024,"score_spread":0.16847247416470568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1480224398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99232805,0.0018837882,0.00075462955,0.00050148775,0.0002134811,0.00008765259,0.0000037975826,0.000010733912,0.004216399],"genre_scores_gemma":[0.98498315,0.003643803,0.009226211,0.00003839541,0.0006772179,0.0000054341403,0.000012008104,0.000011497934,0.0014022834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99893486,0.00003290971,0.0005742564,0.0001625051,0.00010493908,0.0001905478],"domain_scores_gemma":[0.99931043,0.000034262073,0.00042509104,0.00008493123,0.00007409828,0.00007116026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020915105,0.00007123222,0.00018917437,0.00046722995,0.0002753516,0.00011620594,0.00009223564,0.000045630783,0.00015661136],"category_scores_gemma":[0.0000977318,0.00007411584,0.000039337003,0.0001956255,0.00007331988,0.00025928897,0.00006104023,0.00014398659,0.00013784171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004318114,0.00017709947,0.012291118,0.00004598038,0.0002124345,0.0000065444124,0.002716962,0.00036378708,0.0006813508,0.96255463,0.001335126,0.019571783],"study_design_scores_gemma":[0.002157415,0.00024511106,0.14124618,0.00013515003,0.000028638573,0.000029718758,0.0010136659,0.009111432,0.0033563958,0.7928716,0.04934734,0.00045735633],"about_ca_topic_score_codex":0.000058219,"about_ca_topic_score_gemma":0.000016876658,"teacher_disagreement_score":0.16968304,"about_ca_system_score_codex":0.0001505298,"about_ca_system_score_gemma":0.000021333773,"threshold_uncertainty_score":0.3022356},"labels":[],"label_agreement":null},{"id":"W1484339452","doi":"","title":"Extracting Several Resource Deposits of Unknown Size: Optimal Order","year":2007,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stock (firearms); Order (exchange); Natural resource; Resource (disambiguation); Economics; Welfare economics; Economy; Geography; Computer science; Political science; Archaeology; Finance","score_opus":0.022056267826434155,"score_gpt":0.22585294810794154,"score_spread":0.20379668028150738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484339452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9185459,0.039705947,0.0014440896,0.00045591785,0.0008403675,0.0007681895,0.002160103,0.00009303428,0.03598644],"genre_scores_gemma":[0.95702106,0.017271802,0.005970632,0.0000621025,0.00025729465,0.000001503412,0.0010518995,0.000060412993,0.018303303],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967266,0.000072261435,0.0011819236,0.0013257145,0.00025647998,0.00043703953],"domain_scores_gemma":[0.99519235,0.00030358465,0.002355312,0.0016737244,0.00022851212,0.0002465221],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007762486,0.00046393252,0.0012622259,0.00040937486,0.00038191903,0.00010185239,0.0011544276,0.00047583936,0.00012948814],"category_scores_gemma":[0.00020054792,0.0005701625,0.0002897825,0.00026500897,0.0004333274,0.0005893837,0.0022173661,0.0005313151,0.00001378895],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0068612704,0.008454671,0.4120964,0.008053824,0.035838902,0.007760228,0.009328606,0.02353879,0.002088536,0.14810534,0.30371162,0.034161787],"study_design_scores_gemma":[0.010874105,0.0007713687,0.09937493,0.0018045162,0.004607421,0.000347481,0.004331534,0.023716627,0.0016673702,0.0068419846,0.84031457,0.005348111],"about_ca_topic_score_codex":0.021832913,"about_ca_topic_score_gemma":0.005592945,"teacher_disagreement_score":0.5366029,"about_ca_system_score_codex":0.00035723587,"about_ca_system_score_gemma":0.00011513162,"threshold_uncertainty_score":0.999675},"labels":[],"label_agreement":null},{"id":"W1484418739","doi":"10.2139/ssrn.2325545","title":"valuation De Projets Publics: Risques, Coot De Financement Et Coot Du Capital (The Valuation of Public Projects: Risks, Cost of Financing and Cost of Capital Current)","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Valuation (finance); Cost of capital; Business; Contingent valuation; Finance; Economics; Willingness to pay; Market economy; Microeconomics","score_opus":0.0676952886678108,"score_gpt":0.27614640740236923,"score_spread":0.20845111873455843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484418739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9465505,0.036148887,0.015285306,0.0008736216,0.000112654365,0.0008229794,0.00004708632,0.000008031457,0.00015094045],"genre_scores_gemma":[0.9536523,0.045785856,0.00021403085,0.000029851413,0.000071081166,0.00009677397,0.00004627973,0.000020236683,0.00008356043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997341,0.00016684794,0.00106821,0.00026381956,0.00018269088,0.0009774376],"domain_scores_gemma":[0.99765795,0.00010181258,0.0015571328,0.00022947363,0.00037367217,0.00007997875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005876675,0.0001949275,0.000473857,0.00043026285,0.00016307745,0.00010934243,0.00027604654,0.000097224125,0.00006190961],"category_scores_gemma":[0.00051420985,0.00017125886,0.00018753784,0.00043687414,0.0001670769,0.00071455067,0.00006728543,0.00063017005,0.000010736373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028083954,0.00044224437,0.12611447,0.00007749611,0.00037288474,2.898275e-7,0.0042384625,0.00086706394,0.00017302319,0.83889544,0.00027012877,0.028520424],"study_design_scores_gemma":[0.0028433679,0.0010019545,0.15043038,0.00011554155,0.00022674602,0.00006692637,0.005044462,0.101253584,0.0008623203,0.7368343,0.0008471587,0.00047326862],"about_ca_topic_score_codex":0.003409843,"about_ca_topic_score_gemma":0.001634504,"teacher_disagreement_score":0.102061145,"about_ca_system_score_codex":0.0009727882,"about_ca_system_score_gemma":0.0015447962,"threshold_uncertainty_score":0.6983733},"labels":[],"label_agreement":null},{"id":"W1487588350","doi":"10.4337/9781781009147.00026","title":"Real options theory and international investment strategy: past, present and future","year":2012,"lang":"en","type":"article","venue":"Edward Elgar Publishing eBooks","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multinational corporation; Downside risk; Exploit; Flexibility (engineering); Profitability index; International business; Foreign direct investment; Industrial organization; Investment decisions; Investment (military); Business; Economics; Politics; Microeconomics; Finance; Behavioral economics; Management","score_opus":0.030330950346505132,"score_gpt":0.23820548032908156,"score_spread":0.20787452998257644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487588350","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37434867,0.040021583,0.0002259267,0.009417769,0.002282275,0.00041623597,0.00021466482,0.00016933515,0.5729035],"genre_scores_gemma":[0.9520236,0.006100325,0.0015234647,0.0014837519,0.010148655,0.00007888221,0.00017382453,0.00005775375,0.028409693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906516,0.000036583013,0.00030449734,0.00026929058,0.00005762766,0.00026684438],"domain_scores_gemma":[0.9993696,0.0000488824,0.00015948743,0.0001880047,0.000027638038,0.00020637143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009305216,0.00014205006,0.00019996676,0.00022890547,0.00014604941,0.0008966111,0.0001624604,0.000111260466,0.0001466805],"category_scores_gemma":[0.000022687665,0.00013745768,0.00006950577,0.000055870856,0.000094688534,0.001218374,0.0001541029,0.00018726327,0.000027676462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008629637,0.000036103836,0.008357006,0.0000068361655,0.00012933278,7.359175e-7,0.0012755658,0.0000029507473,0.000007347325,0.9771804,0.010472881,0.002522216],"study_design_scores_gemma":[0.0005449001,0.00004440218,0.06587562,0.00000980957,0.00004114637,0.000011738935,0.0013481062,0.00057671807,0.000028203669,0.36791617,0.56323004,0.0003731268],"about_ca_topic_score_codex":0.00019596137,"about_ca_topic_score_gemma":0.000012439781,"teacher_disagreement_score":0.6092642,"about_ca_system_score_codex":0.00006240972,"about_ca_system_score_gemma":0.000011756905,"threshold_uncertainty_score":0.8646041},"labels":[],"label_agreement":null},{"id":"W1489537383","doi":"","title":"Real Options at Bell Canada","year":2003,"lang":"en","type":"article","venue":"CIRANO Project Reports","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Order (exchange); Humanities; Welfare economics; Political science; Economics; Finance; Philosophy; History","score_opus":0.0271264868845598,"score_gpt":0.21654398010312723,"score_spread":0.18941749321856743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489537383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7276202,0.010300387,0.00001564792,0.00012454971,0.0007863788,0.0002698055,0.000040088267,0.00004484626,0.2607981],"genre_scores_gemma":[0.9538064,0.002719576,0.0003215477,0.00014350362,0.00006312579,0.00003904682,0.00006170512,0.000023506691,0.04282159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99866354,0.000012882795,0.0005974052,0.00040697903,0.00005394393,0.00026525298],"domain_scores_gemma":[0.99911356,0.000014828898,0.00034455265,0.0004237292,0.000025850504,0.00007749656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030181685,0.00013112863,0.00029059735,0.00014957998,0.00019261414,0.000036125344,0.000061537445,0.00006387362,0.00073301693],"category_scores_gemma":[0.00006590733,0.00014057587,0.00013945792,0.00030511912,0.000035346446,0.0000912395,0.000027352004,0.000074821735,0.000082311664],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053919166,0.000119629054,0.29035327,0.000030297802,0.0002152497,0.0006523305,0.0004664749,0.00009042908,0.00013431456,0.6430407,0.06482109,0.00007076788],"study_design_scores_gemma":[0.00031338923,0.000045562323,0.023455473,0.000009333113,0.000051306488,0.00030299867,0.00014334796,0.0002129358,0.001212833,0.035155214,0.9384327,0.0006649259],"about_ca_topic_score_codex":0.47683105,"about_ca_topic_score_gemma":0.33655807,"teacher_disagreement_score":0.87361157,"about_ca_system_score_codex":0.00038165104,"about_ca_system_score_gemma":0.00022041508,"threshold_uncertainty_score":0.8026022},"labels":[],"label_agreement":null},{"id":"W1493969280","doi":"10.4161/gmcr.27465","title":"Investment, regulation, and uncertainty","year":2013,"lang":"en","type":"article","venue":"GM crops & food","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nutrasource; Saskatoon Medical Imaging; University of Saskatchewan","funders":"","keywords":"JavaScript; Zoom; Computer science; Feature (linguistics); Order (exchange); Investment (military); Programming language; Biology; Business; Linguistics","score_opus":0.020919421966258827,"score_gpt":0.18990722412902014,"score_spread":0.16898780216276132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493969280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96642685,0.010699741,0.00008267867,0.0012143134,0.00012286281,0.00019000669,0.000034433862,0.000041134906,0.02118798],"genre_scores_gemma":[0.99380535,0.00053954497,0.0004041808,0.0008304245,0.0000752792,0.00003077051,0.00003019013,0.000013085058,0.0042711613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992038,0.000007304881,0.00030818375,0.00027106484,0.000025633128,0.0001840211],"domain_scores_gemma":[0.99949473,0.000015133046,0.00014048838,0.00022715912,0.000026849804,0.00009565191],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00010557906,0.00011002531,0.00021062266,0.00013938555,0.000109501816,0.00012630898,0.000084804335,0.000060695682,0.0013372173],"category_scores_gemma":[0.000024999294,0.00010873916,0.00007313937,0.00018436673,0.00008325954,0.0002491083,0.00004603493,0.00005846189,0.0011313003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019604076,0.000036954167,0.023430932,0.000008592665,0.00009166193,2.9975956e-7,0.00034722255,0.00003567119,0.000051493415,0.9667586,0.008764731,0.00047187673],"study_design_scores_gemma":[0.00048385898,0.00014110155,0.1920293,0.000005741119,0.000018287228,0.0000024869623,0.00012552438,0.0047365953,0.00011675822,0.7398815,0.062165394,0.0002934124],"about_ca_topic_score_codex":0.0010344738,"about_ca_topic_score_gemma":0.0001178964,"teacher_disagreement_score":0.22687706,"about_ca_system_score_codex":0.000037621023,"about_ca_system_score_gemma":0.000005952897,"threshold_uncertainty_score":0.9996464},"labels":[],"label_agreement":null},{"id":"W1496493586","doi":"10.1111/cjag.12018","title":"A Two Factor Model for Water Prices and Its Implications for Evaluating Real Options and Other Water Price Derivatives","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Investment (military); Econometrics; Value (mathematics); Process (computing); Monetary economics; Microeconomics; Computer science","score_opus":0.08535062825236638,"score_gpt":0.23087776545501534,"score_spread":0.14552713720264898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496493586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98915726,0.0020041899,0.00013146497,0.0065070144,0.00019259602,0.0007806976,0.0009807536,0.0000061106875,0.00023994104],"genre_scores_gemma":[0.9949772,0.00052611396,0.0024225852,0.00038703773,0.00026844375,0.00018774673,0.00007294346,0.000031500073,0.0011264592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979708,0.000009380256,0.0009364897,0.00040401646,0.000004497753,0.00067479594],"domain_scores_gemma":[0.9982499,0.000093713286,0.00047867926,0.00014167381,0.00020855763,0.0008274623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033843293,0.0002609273,0.0005875548,0.00034888947,0.00041372137,0.00033481588,0.00023794579,0.00010449297,0.00017311092],"category_scores_gemma":[0.000052422572,0.00018999526,0.00022621325,0.000044499488,0.00008005969,0.0009251518,0.000026347856,0.000109262124,0.00002248152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029339388,0.000030697178,0.008318483,0.00012085799,0.00082118635,5.813622e-7,0.011782761,0.009870963,0.002668648,0.96485996,0.0009789743,0.00051751646],"study_design_scores_gemma":[0.005354312,0.0011791922,0.16089319,0.00009261143,0.00039668445,0.00024553743,0.004278333,0.22791831,0.0017067731,0.5829815,0.01237891,0.002574601],"about_ca_topic_score_codex":0.01016504,"about_ca_topic_score_gemma":0.15586102,"teacher_disagreement_score":0.38187844,"about_ca_system_score_codex":0.0005366227,"about_ca_system_score_gemma":0.00009575025,"threshold_uncertainty_score":0.99642634},"labels":[],"label_agreement":null},{"id":"W1504323046","doi":"10.2139/ssrn.510042","title":"Stock Option Expense, Forward-Looking Information, and Implied Volatilities of Traded Options","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock options; Financial economics; Business; Binary option; Stock (firearms); Non-qualified stock option; Economics; Valuation of options; Actuarial science; Finance; Asian option; Market maker; Stock market","score_opus":0.012022172568675197,"score_gpt":0.20435347280480393,"score_spread":0.19233130023612874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504323046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544156,0.028400866,0.015649617,0.0006505477,0.00008543692,0.00011032612,0.000018902641,0.000014959835,0.00065371254],"genre_scores_gemma":[0.97727597,0.022055151,0.0003163177,0.000060239774,0.00005055886,0.0000048936668,0.000014591579,0.0000073742744,0.00021489644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987296,0.000006700516,0.0005657003,0.00009515165,0.00004463433,0.00055822707],"domain_scores_gemma":[0.99941754,0.000012691221,0.00038670347,0.00009599615,0.000038044378,0.00004900306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005383473,0.000097013624,0.00022846104,0.000331629,0.00016879813,0.0000696053,0.0000897369,0.00005773732,0.000038501476],"category_scores_gemma":[0.0000279346,0.000099428566,0.00012315945,0.00015429476,0.000049924358,0.00077340077,0.00001686905,0.00034683844,0.000016403097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011473033,0.000021529275,0.0014689598,0.000006139789,0.00011606654,1.2806102e-7,0.0009703976,0.0002689558,0.000026065984,0.9964836,0.000012601053,0.00061407674],"study_design_scores_gemma":[0.0008659395,0.00015297202,0.0031013207,0.000010052242,0.000025768124,0.0000645222,0.0028355108,0.0007977119,0.00007446264,0.9909633,0.00097392226,0.00013452386],"about_ca_topic_score_codex":0.0002685275,"about_ca_topic_score_gemma":0.00035522986,"teacher_disagreement_score":0.022860346,"about_ca_system_score_codex":0.000362924,"about_ca_system_score_gemma":0.00016556536,"threshold_uncertainty_score":0.4054579},"labels":[],"label_agreement":null},{"id":"W1506400937","doi":"","title":"Incertidumbre macroeconómica e inversión real en Colombia","year":2010,"lang":"es","type":"article","venue":"Revista Sociedad y Economía","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Investment (military); Econometrics; Quarter (Canadian coin); Measure (data warehouse); Autoregressive conditional heteroskedasticity; Volatility (finance); Computer science; Geography","score_opus":0.01172643180410039,"score_gpt":0.23071434835419447,"score_spread":0.21898791655009409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506400937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93274856,0.011917295,0.000009784376,0.002402715,0.0014547188,0.00054543494,0.00093608256,0.00011559269,0.049869794],"genre_scores_gemma":[0.93299586,0.052146878,0.0005332954,0.0009874254,0.001111444,0.00005005013,0.0002479699,0.00011865408,0.0118084075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958564,0.00007003512,0.0017095637,0.0013242166,0.00008537846,0.0009544026],"domain_scores_gemma":[0.9967574,0.00023433562,0.0012281629,0.00120966,0.00007981242,0.00049066206],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011362808,0.00064610754,0.0015647314,0.00041181542,0.0005107936,0.0011581832,0.0009781009,0.0008030232,0.008609824],"category_scores_gemma":[0.00013298633,0.00081406394,0.0011592607,0.00050848897,0.0005625933,0.0006834192,0.0003933399,0.001114038,0.008140189],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002882312,0.0002126072,0.18851067,0.00023667888,0.0006527164,0.000013952062,0.00090089266,0.0000069019147,0.00017974903,0.78451014,0.023338867,0.0014079945],"study_design_scores_gemma":[0.0014182803,0.00024817372,0.07799779,0.00007345531,0.0002979145,0.000014596924,0.0005678327,0.006082304,0.00013192174,0.017543918,0.8939133,0.0017104928],"about_ca_topic_score_codex":0.0015430624,"about_ca_topic_score_gemma":0.00033410484,"teacher_disagreement_score":0.8705745,"about_ca_system_score_codex":0.0005201603,"about_ca_system_score_gemma":0.00019210625,"threshold_uncertainty_score":0.9998787},"labels":[],"label_agreement":null},{"id":"W1506751634","doi":"10.22004/ag.econ.34131","title":"CAN HYSTERESIS AND REAL OPTIONS EXPLAIN THE FARMLAND VALUATION PUZZLE?","year":2002,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Valuation (finance); Option value; Discounted cash flow; Economics; Land Values; Land price; Cash flow; Value (mathematics); Microeconomics; Financial economics; Valuation of options; Asian option; Intrinsic value (animal ethics); Cash; Land value; Econometrics; Land use; Natural resource economics; Finance; Agricultural economics; Computer science","score_opus":0.09091036279687685,"score_gpt":0.23033617807806456,"score_spread":0.1394258152811877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506751634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819273,0.005367004,0.00014575919,0.0050989296,0.00012625282,0.00036342407,0.0007368238,0.000016807442,0.0062177083],"genre_scores_gemma":[0.9352852,0.05033088,0.00040606683,0.000033846638,0.00006221544,0.0000024203816,0.0001618885,0.00001586907,0.013701591],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99871695,0.00009410163,0.0002968045,0.00052330195,0.00010822885,0.00026059654],"domain_scores_gemma":[0.9988001,0.00011914691,0.00035771332,0.000527644,0.00007797387,0.00011741],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007440445,0.00019319692,0.0004916891,0.00047656216,0.00042248957,0.00008801838,0.00044226059,0.00021577446,0.0012971539],"category_scores_gemma":[0.00002418177,0.00021304717,0.00025033412,0.00022956122,0.00030121466,0.00018032038,0.0004982109,0.0003331654,0.00019259668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011314538,0.00057460566,0.15658781,0.0007935064,0.0025221843,0.00010363911,0.048485357,0.0017108804,0.00013902728,0.7637295,0.01619342,0.009046922],"study_design_scores_gemma":[0.0033786765,0.00035298025,0.6672541,0.00022474639,0.0006933554,0.000016689313,0.023186797,0.15506382,0.000085485364,0.1197991,0.027982099,0.0019621523],"about_ca_topic_score_codex":0.022627681,"about_ca_topic_score_gemma":0.013550293,"teacher_disagreement_score":0.6439304,"about_ca_system_score_codex":0.00012715632,"about_ca_system_score_gemma":0.000028102264,"threshold_uncertainty_score":0.9996158},"labels":[],"label_agreement":null},{"id":"W1512866624","doi":"10.2139/ssrn.2386484","title":"Time Preference and Risk Attitude Toward Idiosyncratic Risk of Real Investment Opportunity","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Systematic risk; Preference; Economics; Investment (military); Time preference; Financial risk; Financial economics; Actuarial science; Business; Psychology; Monetary economics; Microeconomics; Political science","score_opus":0.024959599271015227,"score_gpt":0.2097256332544431,"score_spread":0.18476603398342786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512866624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790529,0.015611567,0.0008417036,0.00014971067,0.0000665647,0.00010058569,0.000037259466,0.000015484127,0.0041242433],"genre_scores_gemma":[0.7853085,0.21321319,0.00016458242,0.00004385573,0.000082644285,0.0000032372145,0.0000068948993,0.000013828451,0.0011633056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99803567,0.00011008675,0.00064487493,0.00027112075,0.00007515602,0.00086307776],"domain_scores_gemma":[0.9985523,0.00006499186,0.0009088197,0.0002452517,0.00004077704,0.00018782934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028376926,0.00017478368,0.00048266127,0.00022107821,0.00017925173,0.000050972452,0.00022074828,0.00008711519,0.00014263952],"category_scores_gemma":[0.00023115256,0.00016087011,0.00017674123,0.00015961846,0.00012820467,0.00020477372,0.00005957443,0.00084831554,0.000104960454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024614186,0.00010053534,0.1106512,0.0000134481115,0.00072007737,5.602768e-7,0.00038775837,0.00006530925,0.000026090014,0.88590634,0.000108355714,0.0019957044],"study_design_scores_gemma":[0.0006521021,0.00055051886,0.03281312,0.000013094998,0.00019191507,0.000021111831,0.00021721638,0.0074037197,0.000043642372,0.95715755,0.00069172075,0.00024427223],"about_ca_topic_score_codex":0.0011581049,"about_ca_topic_score_gemma":0.0005948228,"teacher_disagreement_score":0.19760163,"about_ca_system_score_codex":0.00027610717,"about_ca_system_score_gemma":0.00023564602,"threshold_uncertainty_score":0.6560093},"labels":[],"label_agreement":null},{"id":"W1513469726","doi":"","title":"On Jumps and Arch Effects in Natural Resource Prices. An Application to Stumpage Prices from Pacific Northwest National Forests","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Stumpage; Arch; Natural resource; Resource (disambiguation); Series (stratigraphy); Economics; Econometrics; Natural (archaeology); Natural resource economics; Geology; Engineering; Computer science; Agricultural economics; Ecology; Paleontology; Civil engineering","score_opus":0.018695929759404026,"score_gpt":0.2764874606088374,"score_spread":0.25779153084943335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513469726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97678345,0.002006511,0.000006774054,0.000267808,0.00012837735,0.0012702824,0.00037294166,0.000028756613,0.01913512],"genre_scores_gemma":[0.99056727,0.006469275,0.0004742109,0.00014643624,0.00021903958,0.00055704755,0.0009387784,0.00006138833,0.00056656735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964106,0.000099488534,0.0009639469,0.0016877686,0.00018597991,0.00065221207],"domain_scores_gemma":[0.99781173,0.00071235816,0.00033133233,0.0008259175,0.000050261304,0.00026837713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015662757,0.00038800485,0.0007923431,0.0020133858,0.00015993185,0.000316922,0.000687639,0.00039360634,0.00005215441],"category_scores_gemma":[0.00022557695,0.0004509594,0.00015403124,0.00042022936,0.00017611773,0.00022676798,0.00046267902,0.0013384596,0.00008074044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009304176,0.001795569,0.6661089,0.0004616414,0.00051178975,0.00006511458,0.006973596,0.08356991,0.000055862216,0.12167153,0.00025773078,0.11759796],"study_design_scores_gemma":[0.0010841578,0.00022028043,0.7799264,0.00017638216,0.000010085593,0.0000015340047,0.00032181453,0.09999256,0.000028623288,0.10580148,0.011544513,0.00089216215],"about_ca_topic_score_codex":0.0030153284,"about_ca_topic_score_gemma":0.016579702,"teacher_disagreement_score":0.1167058,"about_ca_system_score_codex":0.0011467643,"about_ca_system_score_gemma":0.000116936295,"threshold_uncertainty_score":0.99979424},"labels":[],"label_agreement":null},{"id":"W1517789755","doi":"10.2139/ssrn.471580","title":"Commercial Office Space: Tests of a Real Options Model with Competitive Interactions","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Space (punctuation); Business; Computer science; Operating system","score_opus":0.01840175204385,"score_gpt":0.237095991279332,"score_spread":0.218694239235482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517789755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87606317,0.019312471,0.016502643,0.001237343,0.00021827295,0.00021941218,0.00009017739,0.000032283508,0.08632421],"genre_scores_gemma":[0.971909,0.022928422,0.00089468603,0.000035628353,0.00005086759,0.000004664026,0.000008076572,0.000016446998,0.0041522156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986953,0.000024491026,0.00037263118,0.00016349497,0.00004727789,0.00069677085],"domain_scores_gemma":[0.9993189,0.000036325986,0.00036466078,0.00014075782,0.000073865696,0.0000655209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052157155,0.00011881415,0.00028765886,0.000261415,0.00017831927,0.00003467841,0.00011867755,0.000040790423,0.00011206445],"category_scores_gemma":[0.000032141914,0.00011181854,0.00015531994,0.00028705868,0.00007624417,0.00022337338,0.000012091974,0.0007126735,0.000059229715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029433437,0.00015563719,0.004822985,0.0000019832712,0.00023362726,7.406315e-7,0.00019709357,0.0018649077,0.000030320212,0.99255407,0.000068085545,0.000041101604],"study_design_scores_gemma":[0.001306637,0.0004857919,0.0055194506,0.000027518212,0.000120462726,0.00018817982,0.002594748,0.0084900055,0.00007281147,0.9783653,0.0024633186,0.00036579426],"about_ca_topic_score_codex":0.00032382074,"about_ca_topic_score_gemma":0.006314248,"teacher_disagreement_score":0.0958458,"about_ca_system_score_codex":0.00043937375,"about_ca_system_score_gemma":0.0003930131,"threshold_uncertainty_score":0.45598277},"labels":[],"label_agreement":null},{"id":"W1519052991","doi":"10.2139/ssrn.280801","title":"Valuing a Multi-Zone Mine as a Real Asset Portfolio - A Modern Asset Pricing (Real Options) Approach","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Alberta","funders":"","keywords":"Portfolio; Asset (computer security); Business; Capital asset pricing model; Financial economics; Consumption-based capital asset pricing model; Finance; Economics; Actuarial science; Computer science; Computer security","score_opus":0.026973366421484235,"score_gpt":0.2472245338370294,"score_spread":0.22025116741554515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519052991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89837885,0.047549646,0.041251253,0.00035953554,0.00017862995,0.00025622104,0.0000271664,0.00008067563,0.011918044],"genre_scores_gemma":[0.800226,0.18621287,0.001921396,0.000074633484,0.00037879366,0.000019362307,0.00008094149,0.000053596614,0.011032425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962674,0.000047217065,0.000913207,0.0005246621,0.00014238055,0.0021051485],"domain_scores_gemma":[0.9987351,0.000029880546,0.00064332545,0.00032915233,0.00006018233,0.00020236612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022149396,0.0003067763,0.0006086122,0.0006899635,0.0003874649,0.0002105046,0.00036565628,0.00017131103,0.00014804547],"category_scores_gemma":[0.000050289247,0.00031424378,0.00043347437,0.00065664813,0.000054661017,0.0005279896,0.000070398026,0.0013195571,0.00019787531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006858823,0.0006280187,0.03806595,0.000009991809,0.00087687565,0.000036153364,0.00069293845,0.0028253847,0.00016051579,0.9546939,0.00022310564,0.0017185655],"study_design_scores_gemma":[0.0035850802,0.0005842075,0.012975299,0.000032681015,0.00026401255,0.0019670087,0.002796214,0.36160582,0.000014867728,0.6132074,0.0018511285,0.0011162834],"about_ca_topic_score_codex":0.0035658183,"about_ca_topic_score_gemma":0.0013453197,"teacher_disagreement_score":0.35878044,"about_ca_system_score_codex":0.0012903792,"about_ca_system_score_gemma":0.0004198684,"threshold_uncertainty_score":0.999931},"labels":[],"label_agreement":null},{"id":"W1519626047","doi":"10.3386/w16770","title":"The Cross-Section of Hurdle Rates for Capital Budgeting: An Empirical Analysis of Survey Data","year":2011,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Section (typography); Capital budgeting; Econometrics; Survey data collection; Economics; Accounting; Actuarial science; Statistics; Business; Mathematics; Finance","score_opus":0.7223403220227695,"score_gpt":0.5745086284436954,"score_spread":0.1478316935790741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519626047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7964196,0.035562728,0.0001705959,0.00027089205,0.0022640806,0.002455495,0.041981842,0.000024486608,0.12085029],"genre_scores_gemma":[0.9700518,0.009022419,0.00020729126,0.000004533898,0.0004533237,0.00008198924,0.014621105,0.00004432675,0.005513186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99609596,0.00019439281,0.0021544907,0.0008224524,0.0003797123,0.0003529755],"domain_scores_gemma":[0.99194103,0.0027430018,0.0019126391,0.0010820314,0.0022278212,0.00009348959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025326224,0.00021057493,0.0012258358,0.0020225423,0.00022029314,0.000103243336,0.0013858831,0.00040161802,0.0004391208],"category_scores_gemma":[0.0042578867,0.00019134613,0.0005781717,0.0008190058,0.0006659415,0.00034663238,0.00033621513,0.00034854133,0.000021563897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046632387,0.00056441454,0.691731,0.00022961496,0.009787431,3.705974e-7,0.0003922017,0.0012530356,0.000029009456,0.26344875,0.03180609,0.0002917955],"study_design_scores_gemma":[0.00080417056,0.0005187105,0.6135039,0.000028253487,0.00047899378,0.0000016173614,0.00021453227,0.05514188,0.00029310642,0.3096736,0.018775256,0.0005660238],"about_ca_topic_score_codex":0.028225265,"about_ca_topic_score_gemma":0.010034242,"teacher_disagreement_score":0.17363223,"about_ca_system_score_codex":0.0005048271,"about_ca_system_score_gemma":0.000986918,"threshold_uncertainty_score":0.97824585},"labels":[],"label_agreement":null},{"id":"W1520882124","doi":"10.1002/9781118785317.weom080233","title":"Net Present Value Criterion","year":2015,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Net present value; Cash flow; Internal rate of return; Present value; Value (mathematics); Terminal value; Investment (military); Cash; Econometrics; Economics; Rate of return; Mathematics; Actuarial science; Statistics; Operating cash flow; Finance; Microeconomics; Production (economics)","score_opus":0.01775906029717092,"score_gpt":0.2221373231605324,"score_spread":0.20437826286336147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520882124","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005385265,0.06649156,0.00007257858,0.00013433277,0.000926106,0.00042561413,0.00031463942,0.00007480571,0.9315065],"genre_scores_gemma":[0.00011469902,0.12606029,0.0012172033,0.0000903628,0.0005087473,0.000048702877,0.0002888709,0.0002046833,0.87146646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845713,0.000017215756,0.00063185,0.0005054567,0.000119477714,0.00026888924],"domain_scores_gemma":[0.99861556,0.00000811025,0.0006083428,0.00064008706,0.000016836371,0.000111047164],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028100438,0.00028829882,0.0006631788,0.00068812486,0.000021711452,0.000029905494,0.00038145806,0.00017284161,0.0070504183],"category_scores_gemma":[0.0000106716,0.0003073998,0.00020530287,0.0002381137,0.000067802706,0.00006389431,0.0002407236,0.00010424799,0.0020459886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004175875,0.0001046453,0.00021079721,0.00020614176,0.00035096335,0.000010579913,0.00009485972,0.000020157935,3.5740683e-8,0.12637739,0.8714152,0.001205046],"study_design_scores_gemma":[0.0003212181,0.000044160828,0.00021296612,0.00012720955,0.000101324295,2.9391637e-7,0.000044483808,0.0003080635,3.8231593e-7,0.015527254,0.98298645,0.0003261722],"about_ca_topic_score_codex":0.001097364,"about_ca_topic_score_gemma":0.00005092827,"teacher_disagreement_score":0.11157126,"about_ca_system_score_codex":0.000076241435,"about_ca_system_score_gemma":0.000010371325,"threshold_uncertainty_score":0.99993783},"labels":[],"label_agreement":null},{"id":"W1531511108","doi":"10.2139/ssrn.2370476","title":"Economic Analysis of the European Cement Industry","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Profitability index; Competition (biology); Investment (military); Business; Industrial organization; Capital investment; Business cycle; Capital (architecture); Finance; Economics; Macroeconomics","score_opus":0.011573572133358573,"score_gpt":0.19514549576304588,"score_spread":0.1835719236296873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531511108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748631,0.0097593125,0.00017238161,0.0009956454,0.00017673228,0.00008333814,0.000014411936,0.000006846033,0.013928208],"genre_scores_gemma":[0.9894824,0.0053725317,0.00001346664,0.000103365324,0.00011892813,0.0000026779642,0.0000040630616,0.000013143658,0.004889436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998367,0.000048929604,0.0005875326,0.00017547217,0.00003902315,0.00078203226],"domain_scores_gemma":[0.9990719,0.000013282831,0.00055583584,0.00028140369,0.000021198866,0.000056400433],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012886134,0.00010914072,0.0003133024,0.00036964254,0.00012729198,0.000066842935,0.00039889792,0.00006449294,0.0011321651],"category_scores_gemma":[0.0000150450305,0.00008431714,0.00050367817,0.00043536164,0.000054839067,0.00017124997,0.00006702892,0.0009018561,0.0004743693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014706369,0.000041508672,0.1352054,0.0000011175157,0.0026630806,1.7240166e-7,0.000113863156,0.0013625261,0.000018367251,0.85932946,0.00034280083,0.00092024467],"study_design_scores_gemma":[0.00049461535,0.00009170067,0.28903374,0.0000058822443,0.00065165357,0.00001086856,0.0011184388,0.0061603044,0.00005222458,0.69906527,0.003015039,0.00030024443],"about_ca_topic_score_codex":0.0011502436,"about_ca_topic_score_gemma":0.00086067826,"teacher_disagreement_score":0.16026416,"about_ca_system_score_codex":0.000568577,"about_ca_system_score_gemma":0.00012789975,"threshold_uncertainty_score":0.99978095},"labels":[],"label_agreement":null},{"id":"W1531720346","doi":"","title":"Real options in harvesting decision on publicly owned forest lands","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hedge; Mean reversion; Value (mathematics); Economics; Flexibility (engineering); Natural resource economics; Volatility (finance); Logging; Forest management; Business; Agricultural economics; Agroforestry; Econometrics; Environmental science; Forestry; Mathematics; Statistics; Geography","score_opus":0.07801093451735353,"score_gpt":0.3058005766541274,"score_spread":0.22778964213677388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531720346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81263113,0.0012494519,0.0000040847067,0.0004909831,0.0004181884,0.00054221065,0.00021494267,0.00004365608,0.18440536],"genre_scores_gemma":[0.86426604,0.123244576,0.0011170116,0.00007295231,0.00029531977,0.00027296555,0.00023777364,0.00009187473,0.010401495],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957545,0.00009860454,0.0015720763,0.0014880407,0.00012982082,0.0009570061],"domain_scores_gemma":[0.9972912,0.0006314565,0.00048303502,0.0012828843,0.000061729,0.0002497108],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028400812,0.00039821156,0.0009963299,0.0029622023,0.00019831551,0.00051915477,0.0008589891,0.00063053524,0.00048242047],"category_scores_gemma":[0.0008936169,0.00045162666,0.00038140535,0.0005437181,0.00019809243,0.00028499638,0.0008227981,0.0018563147,0.0002916577],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016435735,0.0010701532,0.53087777,0.00015111137,0.00023311563,0.00011123094,0.00089884654,0.10581598,0.000005942066,0.3017336,0.00051202317,0.058425833],"study_design_scores_gemma":[0.0026049109,0.0003217692,0.344074,0.00056404225,0.000014163657,0.0000071892746,0.0005460686,0.3925379,0.000010878073,0.22169508,0.036020443,0.0016035434],"about_ca_topic_score_codex":0.0032464557,"about_ca_topic_score_gemma":0.011365787,"teacher_disagreement_score":0.28672192,"about_ca_system_score_codex":0.0016360714,"about_ca_system_score_gemma":0.00011018642,"threshold_uncertainty_score":0.9997935},"labels":[],"label_agreement":null},{"id":"W1534322213","doi":"10.15173/esr.v18i2.530","title":"THE RADIOACTIVE WASTE DISPOSAL: THE CONTRIBUTION OF ECONOMIC ANALYSIS","year":2011,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intuition; Radioactive waste; Process (computing); Waste disposal; Risk analysis (engineering); Environmental economics; Waste management; Business; Computer science; Economics; Engineering; Epistemology","score_opus":0.053525510223808075,"score_gpt":0.2615445177556874,"score_spread":0.2080190075318793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534322213","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026275292,0.99070245,0.0001745006,0.0010553035,0.00020511268,0.00011292175,0.000025112311,0.000008700007,0.00508835],"genre_scores_gemma":[0.34299043,0.65603036,0.000014593818,0.0002164133,0.000039787337,0.000047783076,0.0000086948485,0.0000053884687,0.0006465665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885666,0.000053490247,0.00067482475,0.00021667559,0.000028723007,0.00016961356],"domain_scores_gemma":[0.9987237,0.00014819419,0.0006336748,0.0004166966,0.000050576004,0.000027178668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069182145,0.00013038206,0.00074746175,0.00008051538,0.00023774458,0.000012639647,0.00025670155,0.00002526962,0.0001247389],"category_scores_gemma":[0.00009385968,0.00007211032,0.0005950888,0.00044325562,0.00023379012,0.000082078994,0.0000838178,0.000052489944,0.000051547275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058545315,0.000017932301,0.0020170826,0.000022755914,0.0054586283,3.6672967e-7,0.00023366825,0.000029568182,2.0415666e-7,0.98885274,0.0019691782,0.0013920455],"study_design_scores_gemma":[0.0006885985,0.00019158951,0.0125152925,0.0002734779,0.007231806,0.0000024809021,0.0020677617,0.004327504,0.00045353957,0.17232212,0.7990831,0.0008427046],"about_ca_topic_score_codex":0.0007183024,"about_ca_topic_score_gemma":0.0010132749,"teacher_disagreement_score":0.8165306,"about_ca_system_score_codex":0.00008908513,"about_ca_system_score_gemma":0.000007745859,"threshold_uncertainty_score":0.29405734},"labels":[],"label_agreement":null},{"id":"W1540227787","doi":"","title":"Immobilisations incorporelles et croissance de la productivite au Canada","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03147658608214825,"score_gpt":0.28543926464373093,"score_spread":0.25396267856158267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540227787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83319134,0.01591611,0.000011628577,0.006247704,0.0016058735,0.00085474015,0.00072711665,0.000024511843,0.141421],"genre_scores_gemma":[0.8863279,0.08259571,0.0011393309,0.0001907616,0.0008399034,0.0003705325,0.00022125969,0.00011256333,0.028202005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946171,0.0006248844,0.001504303,0.0014761452,0.00014932978,0.0016282592],"domain_scores_gemma":[0.99577105,0.0014113305,0.00079440785,0.0014804066,0.00010384758,0.0004389548],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0068847667,0.00054825604,0.0011550001,0.0007900035,0.00043966735,0.0002913512,0.0009158577,0.0006759304,0.00049245934],"category_scores_gemma":[0.0010631471,0.00072726584,0.000398817,0.00044725847,0.0011744417,0.00040027694,0.00092844834,0.0023861853,0.000071416514],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005199563,0.0006771779,0.45390138,0.00025480404,0.00056196394,0.000035266534,0.002624745,0.041657954,0.00005005421,0.485658,0.0013253622,0.013201334],"study_design_scores_gemma":[0.0007549006,0.000062996594,0.37782735,0.00026483485,0.00005797902,0.000031761585,0.0013674034,0.018655045,0.00018646172,0.039491713,0.5598955,0.0014040698],"about_ca_topic_score_codex":0.58346885,"about_ca_topic_score_gemma":0.73264724,"teacher_disagreement_score":0.55857015,"about_ca_system_score_codex":0.008674084,"about_ca_system_score_gemma":0.0040175477,"threshold_uncertainty_score":0.99991536},"labels":[],"label_agreement":null},{"id":"W1548083209","doi":"","title":"A Dynamic Duopoly Investment Game under Uncertain Market Growth","year":2010,"lang":"en","type":"preprint","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Duopoly; Cournot competition; Microeconomics; Economics; Preemption; Markov perfect equilibrium; Oligopoly; Volatility (finance); Investment (military); First-mover advantage; Tacit collusion; Product differentiation; Collusion; Industrial organization; Nash equilibrium; Financial economics","score_opus":0.022229033832605567,"score_gpt":0.21436588414154695,"score_spread":0.19213685030894137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548083209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84719247,0.021917822,0.007203421,0.035331305,0.0044127703,0.0036783996,0.0064756176,0.0023477904,0.07144039],"genre_scores_gemma":[0.7975198,0.0215778,0.009415084,0.0036451656,0.00080528826,0.00025126545,0.0046166386,0.0005282425,0.16164072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9939596,0.00018563437,0.0014286455,0.0026758667,0.00039022582,0.0013600131],"domain_scores_gemma":[0.9929508,0.00018939794,0.0018493632,0.0034428963,0.0005800775,0.0009874661],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0008712823,0.0012302152,0.0017878611,0.003498856,0.0008374789,0.00085318845,0.002880454,0.0017261449,0.004290889],"category_scores_gemma":[0.00022068765,0.0016197597,0.0013268832,0.0019063434,0.0007975593,0.0011076771,0.002003044,0.0025199598,0.0022389065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006083842,0.0010597925,0.001778635,0.00022566282,0.0012608602,0.00005285245,0.0027969046,0.0007497477,0.00006846505,0.9144096,0.07737427,0.00016241708],"study_design_scores_gemma":[0.0038485143,0.00022159608,0.024012443,0.00018893034,0.0011772076,0.00007313622,0.0054573137,0.095625095,0.00011636819,0.5312594,0.3322133,0.005806683],"about_ca_topic_score_codex":0.008840992,"about_ca_topic_score_gemma":0.004010833,"teacher_disagreement_score":0.38315013,"about_ca_system_score_codex":0.001946309,"about_ca_system_score_gemma":0.00066027284,"threshold_uncertainty_score":0.99978125},"labels":[],"label_agreement":null},{"id":"W1551726245","doi":"10.3917/riges.322.0037","title":"Les produits de base : un nouvel eldorado?","year":2007,"lang":"fr","type":"article","venue":"Gestion","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.03118616411098566,"score_gpt":0.22892631205016636,"score_spread":0.1977401479391807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551726245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.855292,0.11010783,0.008664599,0.01941461,0.0014098104,0.00018370204,0.0001080829,0.00004721025,0.004772129],"genre_scores_gemma":[0.9342922,0.009474026,0.0036553622,0.00026903185,0.00053041463,0.000006353876,0.00004876455,0.000025344576,0.051698487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986554,0.000022095117,0.00048355607,0.00036136297,0.000041607094,0.00043602253],"domain_scores_gemma":[0.9992758,0.00006130402,0.00024912372,0.0002469053,0.000040471376,0.0001264202],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001183832,0.00015966764,0.00025456052,0.00028592412,0.00017729463,0.00006997906,0.00011573849,0.00026499463,0.0013334478],"category_scores_gemma":[0.00015696377,0.00020569813,0.0001686676,0.000389791,0.000087806846,0.00021400761,0.000035469187,0.0002247448,0.0009680312],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002076685,0.000309127,0.11469883,0.00006832167,0.00010744147,0.00003371318,0.0012416334,0.00041388962,0.000075414326,0.7050918,0.0023302785,0.1756088],"study_design_scores_gemma":[0.00069601054,0.00017369995,0.7946865,0.000113819166,0.00014059492,0.000023317678,0.00036287843,0.016690452,0.0020689305,0.045414686,0.13902585,0.00060326763],"about_ca_topic_score_codex":0.0018388875,"about_ca_topic_score_gemma":0.0003830748,"teacher_disagreement_score":0.67998767,"about_ca_system_score_codex":0.00033087164,"about_ca_system_score_gemma":0.000019682097,"threshold_uncertainty_score":0.9998098},"labels":[],"label_agreement":null},{"id":"W1554800840","doi":"10.7202/800656ar","title":"À propos des investissements fixes des entreprises du modèle CANDIDE","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Investment (military); Mod; Welfare economics; Stability (learning theory); Basis (linear algebra); Economics; Mathematical economics; Econometrics; Mathematics; Computer science; Political science; Combinatorics; Geometry","score_opus":0.06843454927916945,"score_gpt":0.2223649252467216,"score_spread":0.15393037596755216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554800840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849221,0.0039451676,0.0004318483,0.00091204065,0.000114248156,0.0002491465,0.00006697371,0.000094596435,0.009263885],"genre_scores_gemma":[0.98741347,0.0035251742,0.0022695493,0.0012821815,0.00015464082,0.000034645698,0.00004262992,0.000023528997,0.005254191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983583,0.000026694905,0.0006717927,0.0005026775,0.00002242586,0.00041809512],"domain_scores_gemma":[0.9990339,0.000056965095,0.00028740123,0.00037658084,0.000037460017,0.00020765202],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029811193,0.0002584206,0.00048287807,0.0002484706,0.0002552413,0.00019335761,0.00027810378,0.000117333024,0.0010157203],"category_scores_gemma":[0.00017783261,0.00026420705,0.00021970217,0.00020813604,0.00021671425,0.0005664527,0.00005633164,0.00011197316,0.0007271996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028344224,0.00027612728,0.1624107,0.000031998625,0.00018774884,0.000011897536,0.0031434353,0.00019277917,0.00026669452,0.8263823,0.00199346,0.0050745476],"study_design_scores_gemma":[0.00059828535,0.00017229328,0.07537156,0.00003223704,0.000031957137,0.000008154236,0.00020871164,0.0018503111,0.004247722,0.89729846,0.0196575,0.0005227932],"about_ca_topic_score_codex":0.0026027656,"about_ca_topic_score_gemma":0.0004768659,"teacher_disagreement_score":0.087039135,"about_ca_system_score_codex":0.000238733,"about_ca_system_score_gemma":0.000029482431,"threshold_uncertainty_score":0.999981},"labels":[],"label_agreement":null},{"id":"W1563013168","doi":"10.1002/9781118258996.ch9","title":"Real Options and Their Impact on M&amp;As","year":2011,"lang":"en","type":"other","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Process (computing); Computer science; Programming language","score_opus":0.049261471137782724,"score_gpt":0.2507072410770927,"score_spread":0.20144576993930996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563013168","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021902362,0.0155584635,0.000017901579,0.000050326616,0.00012234069,0.00010092924,0.00029270808,0.00007301359,0.9815941],"genre_scores_gemma":[0.0033644594,0.062404495,0.00018101878,0.00009624244,0.0001537516,0.000008401512,0.00008981252,0.00014118892,0.9335606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993115,0.0000048153056,0.00020249971,0.00031293457,0.000012116973,0.0001561477],"domain_scores_gemma":[0.9993876,0.000012761258,0.00018351279,0.00032250097,0.000004063398,0.00008953997],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007494617,0.00022399011,0.0004216852,0.000477785,0.00003587646,0.000044291082,0.00010119618,0.0001951415,0.047480498],"category_scores_gemma":[0.0000054658403,0.00015549846,0.00022869,0.00009631502,0.00005512717,0.000031585718,0.000031694137,0.00009656747,0.008607837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030307083,0.000039142084,0.00059310155,0.000004294674,0.0002133006,4.3583705e-7,0.000097530676,4.0634976e-7,4.7465514e-7,0.70331633,0.29564175,0.00009019302],"study_design_scores_gemma":[0.00019953537,0.00010494758,0.0020969824,0.000021484875,0.000023458328,0.0000021231842,0.00003570327,0.00006368104,0.000004078844,0.121682286,0.87533915,0.00042659414],"about_ca_topic_score_codex":0.014309028,"about_ca_topic_score_gemma":0.0008673839,"teacher_disagreement_score":0.58163404,"about_ca_system_score_codex":0.000034712462,"about_ca_system_score_gemma":0.00000796104,"threshold_uncertainty_score":0.9922548},"labels":[],"label_agreement":null},{"id":"W1563523812","doi":"","title":"Real options and asset valuation in competitive energy markets","year":2007,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Financial economics; Economics; Asset (computer security); Business; Actuarial science; Finance; Computer science","score_opus":0.016850539965284798,"score_gpt":0.2114962896350418,"score_spread":0.194645749669757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563523812","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864427,0.0025235345,0.00001210205,0.00018125414,0.00013191835,0.00008888713,0.00012460153,0.00001230917,0.010482706],"genre_scores_gemma":[0.32798246,0.042745408,0.0013060472,0.000020502177,0.000045360368,9.5028804e-7,0.0032951657,0.000028409451,0.62457573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99927115,0.000021899248,0.00019637341,0.00030634514,0.00005062752,0.00015361689],"domain_scores_gemma":[0.99940634,0.00003016249,0.0003231279,0.00013708656,0.00004992258,0.000053379914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002740698,0.00013629254,0.0003897127,0.00081483024,0.00008652119,0.000018677538,0.00011237556,0.00022118584,0.0003049523],"category_scores_gemma":[0.000007709603,0.0001885599,0.00011724067,0.0002418447,0.00005862721,0.00018482526,0.000027456255,0.00011342967,0.000036220772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014895563,0.0001424161,0.011027055,0.000093595336,0.00021977526,0.00002549417,0.040250577,0.000032874817,0.00011972972,0.94663674,0.00055322115,0.0007495677],"study_design_scores_gemma":[0.0018392875,0.00016328495,0.77838534,0.00019510573,0.0002135532,0.0000017107504,0.14719883,0.007440402,0.00019888891,0.06026729,0.0032183505,0.0008779701],"about_ca_topic_score_codex":0.09723433,"about_ca_topic_score_gemma":0.20909204,"teacher_disagreement_score":0.88636947,"about_ca_system_score_codex":0.000109791334,"about_ca_system_score_gemma":0.000018099026,"threshold_uncertainty_score":0.90877724},"labels":[],"label_agreement":null},{"id":"W1563562648","doi":"10.2139/ssrn.2128220","title":"Priority Option: The Value of Being a Leader in Complete and Incomplete Markets","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Value (mathematics); Business; Economics; Mathematics; Statistics","score_opus":0.021595323763385074,"score_gpt":0.22171088429686042,"score_spread":0.20011556053347535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563562648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9307563,0.0664145,0.000556175,0.0011332927,0.00010176576,0.00007385782,0.000004307174,0.0000036508513,0.00095615035],"genre_scores_gemma":[0.9794199,0.019972237,0.00010280211,0.000076363605,0.00014725141,0.000002196094,0.0000016916448,0.000008365607,0.0002692089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99852675,0.000042675743,0.00041545133,0.00011157517,0.000042813634,0.00086073356],"domain_scores_gemma":[0.9995226,0.000047471407,0.00025170343,0.0001174504,0.000013585833,0.000047186786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023714344,0.00009082477,0.00024988956,0.0001704044,0.00012076143,0.000030388857,0.00014071555,0.000043016815,0.00003697052],"category_scores_gemma":[0.000031901905,0.00007356335,0.00010131371,0.00019382358,0.000075569944,0.00024108167,0.000043505235,0.0006184454,0.000019785199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010189297,0.00003108363,0.11991556,0.000004305379,0.00007444997,2.1299697e-7,0.0005412057,0.00000890455,0.000023337048,0.8789252,0.000008867929,0.000456703],"study_design_scores_gemma":[0.000480196,0.000053054846,0.21842708,0.000010691213,0.000020907208,0.00006479613,0.00091485196,0.0021198585,0.000008582019,0.77554965,0.0022217524,0.00012860194],"about_ca_topic_score_codex":0.00022382414,"about_ca_topic_score_gemma":0.00022990716,"teacher_disagreement_score":0.10337555,"about_ca_system_score_codex":0.00024459758,"about_ca_system_score_gemma":0.000059000213,"threshold_uncertainty_score":0.29998264},"labels":[],"label_agreement":null},{"id":"W1566009081","doi":"10.2139/ssrn.2597421","title":"Backtest Overfitting Demonstration Tool: An Online Interface","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Society of Canada","funders":"","keywords":"Overfitting; Investment strategy; Mathematical finance; Investment (military); Computer science; Interface (matter); Trading strategy; Sharpe ratio; Econometrics; Machine learning; Artificial intelligence; Economics; Financial economics; Finance; Artificial neural network","score_opus":0.05376948761051085,"score_gpt":0.254171638698146,"score_spread":0.20040215108763518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566009081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592442,0.029612495,0.008574472,0.00066617713,0.00030619185,0.000060613187,0.000014471633,0.000031108157,0.0014902524],"genre_scores_gemma":[0.99048007,0.0064264154,0.00054538425,0.000101683414,0.00042332278,0.0000012721973,0.000026379015,0.000019649431,0.0019758043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824214,0.000028255849,0.0005057342,0.0002225352,0.00005568892,0.0009456366],"domain_scores_gemma":[0.999317,0.000015760585,0.00032908696,0.0001622541,0.000055021002,0.00012090611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019540032,0.00012707956,0.00022977807,0.00017906429,0.000118146934,0.00014191003,0.00020181661,0.000070875816,0.00006153108],"category_scores_gemma":[0.00012030932,0.00012914471,0.000116544776,0.00020359819,0.00003111429,0.00065087475,0.000026470161,0.0007572966,0.00023075775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018697465,0.0001466914,0.01837423,0.0000014643656,0.00011693017,0.0000014994736,0.00026167408,0.0003801216,0.0000480715,0.9774489,0.0001767556,0.0030249793],"study_design_scores_gemma":[0.0007567905,0.00046637145,0.0018741275,0.000008060932,0.00002743675,0.00012077565,0.0027843828,0.020282306,0.000060968447,0.9697201,0.0036087402,0.0002898916],"about_ca_topic_score_codex":0.000203162,"about_ca_topic_score_gemma":0.001291824,"teacher_disagreement_score":0.031235868,"about_ca_system_score_codex":0.00068166485,"about_ca_system_score_gemma":0.0003300535,"threshold_uncertainty_score":0.52663684},"labels":[],"label_agreement":null},{"id":"W1580988057","doi":"10.5539/ijsp.v4n3p169","title":"A Multi-stages Decision Approach for Managerial Flexibility of Energy R&amp;D Project under Fuzzy Environment","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Energy market; Environmental economics; Economics; Renewable energy; Fuzzy logic; Risk analysis (engineering); Computer science; Industrial organization; Business; Operations research; Engineering","score_opus":0.1074193425395958,"score_gpt":0.3027615294658463,"score_spread":0.1953421869262505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580988057","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09766005,0.0017249221,0.8987473,0.00009994094,0.00031713102,0.0001524073,0.0011087361,0.000002480585,0.0001870289],"genre_scores_gemma":[0.48749542,0.0008361044,0.5113139,0.000030965268,0.000100884645,0.000008002519,0.00006509252,0.0000075392823,0.00014207068],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987387,0.000023640332,0.00081062544,0.0002027617,0.00012918048,0.00009510236],"domain_scores_gemma":[0.99878603,0.00012825374,0.00064750214,0.0001284444,0.00023463964,0.00007510386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010369102,0.00009990939,0.00032013,0.00015834955,0.000025820933,0.000049038492,0.00018188784,0.00005264277,0.000026702071],"category_scores_gemma":[0.0002789368,0.00008792438,0.00011755013,0.000046198893,0.00012177046,0.000123319,0.0000528554,0.000061900726,0.000001265127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010565396,0.0011579118,0.020105923,0.00007807637,0.00065081066,0.0000032395649,0.0006152023,0.008690734,0.00010036586,0.9590956,0.0018255318,0.006620086],"study_design_scores_gemma":[0.0017134107,0.00022926647,0.005928764,0.000009678947,0.00003714733,0.000005918161,0.000086414446,0.018817706,0.000053084455,0.9670232,0.005957086,0.0001383337],"about_ca_topic_score_codex":0.00016791438,"about_ca_topic_score_gemma":0.000025922938,"teacher_disagreement_score":0.3898354,"about_ca_system_score_codex":0.00013557702,"about_ca_system_score_gemma":0.000043026757,"threshold_uncertainty_score":0.3585452},"labels":[],"label_agreement":null},{"id":"W1588116312","doi":"10.1016/s0742-3322(07)24003-3","title":"Real Options Theory and International Strategy: A Critical Review","year":2007,"lang":"en","type":"review","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multinational corporation; Management science; Field (mathematics); Economics; Computer science; Industrial organization; Operations research; Engineering; Finance; Mathematics","score_opus":0.18014112667499543,"score_gpt":0.38588299166481954,"score_spread":0.2057418649898241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588116312","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.593448e-7,0.9241195,0.00012866156,0.0001378638,0.00020488849,0.00019181236,0.00016845198,0.000025485742,0.07502321],"genre_scores_gemma":[6.6072e-7,0.9848896,0.000308861,0.00023745606,0.00017309019,0.00003330886,0.00018841823,0.000022504888,0.014146076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844646,0.000037351107,0.0008931884,0.00040912593,0.000030834497,0.00018301062],"domain_scores_gemma":[0.9991491,0.0002529557,0.00022495407,0.0002400035,0.00002735232,0.0001056599],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011492056,0.00022743367,0.0012275294,0.00034169038,0.00005873984,0.00009398382,0.0002073388,0.00017646646,0.0038632168],"category_scores_gemma":[0.0001575082,0.00019368324,0.00049977377,0.00022386048,0.000115984054,0.00013181425,0.00007993441,0.00021776507,0.00094392704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.6419535e-7,0.000025449574,0.0000019651827,0.003426746,0.00014992601,0.0000033089982,0.0000033567655,1.4966604e-8,7.662245e-10,0.8587443,0.0016721421,0.13597229],"study_design_scores_gemma":[0.000032012013,0.0000121550875,0.0000035581709,0.0029088885,0.0002675229,0.000014930016,0.0000071791924,0.00001417749,2.869296e-9,0.107015684,0.88950455,0.00021931679],"about_ca_topic_score_codex":0.000046879908,"about_ca_topic_score_gemma":0.000009583217,"teacher_disagreement_score":0.8878324,"about_ca_system_score_codex":0.00007492202,"about_ca_system_score_gemma":0.000027268314,"threshold_uncertainty_score":0.99983394},"labels":[],"label_agreement":null},{"id":"W1599101433","doi":"10.1017/s1068280500006043","title":"A Real Options Analysis of Automatic Milking Systems","year":2003,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bunge (Canada)","funders":"","keywords":"Milking; Automatic milking; Investment (military); Computer science; Operations research; Risk analysis (engineering); Business; Engineering","score_opus":0.023772276162066567,"score_gpt":0.2117138638742562,"score_spread":0.18794158771218963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599101433","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52328336,0.46634164,0.000004853778,0.00020668351,0.00006589814,0.00020798617,0.000057507692,0.000017552193,0.009814522],"genre_scores_gemma":[0.28011075,0.71763134,0.00022115177,0.00012791713,0.000032263055,0.00003256491,0.000100740865,0.000009531518,0.0017337191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985373,0.000039072835,0.00091132906,0.00031031691,0.00002263094,0.00017932334],"domain_scores_gemma":[0.99901134,0.000054957905,0.0005916569,0.00022012746,0.00002702005,0.00009492432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047831738,0.00016266196,0.0009975211,0.00022802602,0.00010168089,0.000057160527,0.00011645397,0.000072359784,0.00019298261],"category_scores_gemma":[0.00003763956,0.000118291944,0.00043142255,0.0006724998,0.000054425676,0.00011678616,0.000029439321,0.00007697204,0.000051028277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.1612155e-7,0.0000453398,0.005139785,0.0005854223,0.0016128208,5.0162515e-7,0.00016535599,0.0010247291,0.000008707721,0.99030143,0.0007925529,0.0003227135],"study_design_scores_gemma":[0.001631675,0.00027174823,0.3644552,0.003168121,0.012623057,0.00010748326,0.003067549,0.07027585,0.000054428758,0.014841023,0.526194,0.003309917],"about_ca_topic_score_codex":0.0002926196,"about_ca_topic_score_gemma":0.000036724246,"teacher_disagreement_score":0.9754604,"about_ca_system_score_codex":0.000055043805,"about_ca_system_score_gemma":0.0000061168334,"threshold_uncertainty_score":0.48238054},"labels":[],"label_agreement":null},{"id":"W1603397024","doi":"10.1108/17468771111139373","title":"Strategic development and growth of emerging renewable energy ventures from China","year":2011,"lang":"en","type":"article","venue":"Journal of Technology Management in China","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Renewable energy; Industrial organization; China; Business; Value (mathematics); Originality; Emerging markets; Variety (cybernetics); Economics; Economic system; Engineering; Political science; Finance; Computer science","score_opus":0.02316034986751534,"score_gpt":0.19915288384236207,"score_spread":0.17599253397484674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603397024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97246695,0.014703884,0.00047402078,0.00026123237,0.00014051881,0.000041568186,0.0000032377113,0.000010816623,0.011897797],"genre_scores_gemma":[0.98493457,0.0070678922,0.0076962686,0.000017032105,0.000016583832,0.0000032010162,0.0000022862855,0.000008990652,0.00025314817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887156,0.000007023191,0.0007491909,0.00017189032,0.000044600347,0.00015572037],"domain_scores_gemma":[0.99912065,0.000005006374,0.00068186515,0.0001477832,0.000014545015,0.00003016693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027344254,0.00011725718,0.00038852953,0.0013244863,0.00003855967,0.000012243159,0.0002810293,0.00009350996,0.00011308791],"category_scores_gemma":[0.000008723664,0.00011149858,0.0000759892,0.00040265633,0.00006510217,0.00013476431,0.00012451182,0.00013041201,0.0000030259584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038017984,0.00027461984,0.13511166,0.000039160415,0.00058967754,0.00008494238,0.00093763624,0.00006957681,0.000032368116,0.86034656,0.00021960303,0.0022561608],"study_design_scores_gemma":[0.00059408776,0.00010246315,0.15102795,0.000055716628,0.000040408064,0.0000049428822,0.0005122436,0.00029579177,0.0021678577,0.8440115,0.0010340608,0.00015302993],"about_ca_topic_score_codex":0.0011295669,"about_ca_topic_score_gemma":0.00013905411,"teacher_disagreement_score":0.016335122,"about_ca_system_score_codex":0.00004813344,"about_ca_system_score_gemma":0.0000069410576,"threshold_uncertainty_score":0.454678},"labels":[],"label_agreement":null},{"id":"W1604477340","doi":"10.2139/ssrn.2153713","title":"Innovation, Competition, and Investment Timing","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Competition (biology); Investment (military); Business; Industrial organization; Economics; Political science","score_opus":0.025286420071728606,"score_gpt":0.22395500124345225,"score_spread":0.19866858117172365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604477340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86824703,0.119154476,0.0034285677,0.0014611612,0.00029064206,0.00007977747,0.000006130045,0.000021977012,0.007310246],"genre_scores_gemma":[0.9809137,0.015752627,0.00020437459,0.00063386996,0.00030317696,0.000003464642,0.0000113559745,0.000011913144,0.002165504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850583,0.0000139234135,0.00038534522,0.00011216275,0.000033511737,0.00094922166],"domain_scores_gemma":[0.99956447,0.000013521113,0.00023930662,0.00008521664,0.000033370692,0.00006411152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015681423,0.000091240356,0.00016588657,0.00030614392,0.00022892126,0.00005706264,0.000065301036,0.000041731564,0.00012881187],"category_scores_gemma":[0.000042205174,0.000091561225,0.000049972936,0.00031949425,0.00003988086,0.0003801323,0.000023091012,0.0005034972,0.00016178192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020760065,0.00003743753,0.033050545,0.0000019484235,0.00009144726,1.300079e-7,0.00023544968,0.0000027585882,0.000015127722,0.96617264,0.00017057193,0.00021987027],"study_design_scores_gemma":[0.00027754504,0.000048844973,0.00811829,0.000003972442,0.000014473412,0.00006748899,0.0005886588,0.00014469879,0.000023340126,0.975244,0.015330585,0.0001381342],"about_ca_topic_score_codex":0.000047444883,"about_ca_topic_score_gemma":0.00003421832,"teacher_disagreement_score":0.11266669,"about_ca_system_score_codex":0.0003445562,"about_ca_system_score_gemma":0.000069311216,"threshold_uncertainty_score":0.37337583},"labels":[],"label_agreement":null},{"id":"W1606547093","doi":"10.3386/w12990","title":"Real Options With Uncertain Maturity and Competition","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Maturity (psychological); Competition (biology); Business; Biology; Political science; Ecology; Law","score_opus":0.33786741200888004,"score_gpt":0.4645723438869693,"score_spread":0.12670493187808923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606547093","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030359507,0.015774088,0.000014970253,0.00075199315,0.00026280282,0.00048249846,0.0008477722,0.000022070524,0.9514843],"genre_scores_gemma":[0.8082603,0.1539645,0.0017905723,0.00003697112,0.0013074157,0.00010874401,0.0031635268,0.00009020175,0.031277746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978516,0.000048288115,0.0008384515,0.0005773033,0.00035392467,0.00033039312],"domain_scores_gemma":[0.9980117,0.00041819594,0.0005190154,0.0002647585,0.0006626758,0.00012366255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006113258,0.00019522732,0.00062996487,0.0016048332,0.00017425031,0.00009733295,0.00023174386,0.00034711105,0.0007997662],"category_scores_gemma":[0.00021025634,0.00020121966,0.00015345313,0.00027818698,0.0004346167,0.00018903206,0.000100396115,0.00055425573,0.00022901605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004529483,0.00006861058,0.0042925114,0.00009666029,0.00023031638,0.0000034696566,0.00004340135,0.000114408045,0.000003419978,0.9881096,0.00693512,0.000057200876],"study_design_scores_gemma":[0.00048058934,0.00015633141,0.010793922,0.000083892846,0.00002313022,0.000023554945,0.000086376414,0.0011961481,0.000025373049,0.95939505,0.027402751,0.00033288234],"about_ca_topic_score_codex":0.0104156295,"about_ca_topic_score_gemma":0.0012594246,"teacher_disagreement_score":0.92020655,"about_ca_system_score_codex":0.0014391011,"about_ca_system_score_gemma":0.0006592515,"threshold_uncertainty_score":0.9961741},"labels":[],"label_agreement":null},{"id":"W1608470270","doi":"","title":"The Power of Real Options - Evaluating nuclear energy investments in Ontario","year":2007,"lang":"en","type":"article","venue":"Gothenburg University Publications Electronic Archive (Gothenburg University)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nuclear power; Business; Environmental economics; Power (physics); Finance; Environmental science; Risk analysis (engineering); Economics; Physics","score_opus":0.01982273114806702,"score_gpt":0.19965418900196655,"score_spread":0.17983145785389953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608470270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5544526,0.00093873387,0.005913515,0.0012762981,0.000119049706,0.00065153884,0.00011814998,0.00013177264,0.4363984],"genre_scores_gemma":[0.8978732,0.0045619486,0.0014351365,0.00011519944,0.00002738117,0.0000023493974,0.00010255508,0.000041721658,0.095840484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998153,0.000088366745,0.00044931422,0.0005058008,0.00012388291,0.00067966385],"domain_scores_gemma":[0.9983348,0.00024335604,0.00052233,0.0006380891,0.00009948152,0.0001619246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082831027,0.00020589802,0.0003359319,0.0016280838,0.00069718075,0.00004553077,0.00088099955,0.0001119963,0.000578833],"category_scores_gemma":[0.000043110354,0.00023998554,0.00027306337,0.0011248263,0.00040770537,0.0005288493,0.00022330483,0.00036647372,0.000034159166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008423019,0.00018665448,0.012682392,0.0000016446289,0.00018697682,0.0000041854605,0.002599936,0.00007480796,0.00009159773,0.9835159,0.0004206797,0.00015096077],"study_design_scores_gemma":[0.0015082222,0.00021528649,0.07369048,0.000017314089,0.00007497007,0.000003324012,0.0045549423,0.0014300357,0.00002560219,0.14762333,0.77040344,0.00045302627],"about_ca_topic_score_codex":0.039461877,"about_ca_topic_score_gemma":0.20097248,"teacher_disagreement_score":0.8358926,"about_ca_system_score_codex":0.0017890012,"about_ca_system_score_gemma":0.00038016046,"threshold_uncertainty_score":0.9786326},"labels":[],"label_agreement":null},{"id":"W1608716319","doi":"10.1111/1468-2354.00104","title":"Testing the Option Value Theory of Irreversible Investment","year":2001,"lang":"en","type":"preprint","venue":"International Economic Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Economics; Investment (military); Welfare economics; Valuation (finance); Value (mathematics); Moment (physics); Econometrics; Mathematics; Physics; Political science; Statistics; Finance; Politics","score_opus":0.08933070288876839,"score_gpt":0.27870417758733645,"score_spread":0.18937347469856808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608716319","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026996814,0.75411963,0.00077002024,0.006988833,0.0035999354,0.0012337446,0.00064449164,0.00005083352,0.20559567],"genre_scores_gemma":[0.1238779,0.8581036,0.0024200047,0.0062063094,0.0009883165,0.0002933739,0.0005585737,0.00007428533,0.0074776937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978853,0.000054486813,0.0013544098,0.0004912564,0.000054721157,0.00015982968],"domain_scores_gemma":[0.99746174,0.00017289669,0.0016701584,0.0005880064,0.000056654564,0.000050542574],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015048962,0.00024339963,0.00074067764,0.0002068503,0.00006173136,0.000074483156,0.0008663835,0.00011491217,0.0017191778],"category_scores_gemma":[0.0002018039,0.00021203139,0.0005482494,0.000095135474,0.000108370936,0.00014074957,0.00045863583,0.00027566985,0.0010072222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034649065,0.00003915899,0.0010411971,0.0003511815,0.00047238808,0.0000011557441,0.000045653127,0.002080395,0.0000017877044,0.99035275,0.0038649645,0.0017458798],"study_design_scores_gemma":[0.00018034804,0.000020254754,0.002164992,0.001609952,0.00015098829,0.00000885469,0.00002188576,0.01779804,0.000014466109,0.8149518,0.16274881,0.00032963735],"about_ca_topic_score_codex":0.00054144225,"about_ca_topic_score_gemma":0.000009948645,"teacher_disagreement_score":0.19811797,"about_ca_system_score_codex":0.0004527113,"about_ca_system_score_gemma":0.00007290707,"threshold_uncertainty_score":0.9997706},"labels":[],"label_agreement":null},{"id":"W1608774414","doi":"10.1007/978-3-540-74742-0_56","title":"A Grid Resources Valuation Model Using Fuzzy Real Option","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Grid; Valuation (finance); Fuzzy logic; Quality of service; Grid computing; Operations research; Mathematical optimization; Distributed computing; Finance; Computer network; Artificial intelligence; Economics","score_opus":0.08401796716602038,"score_gpt":0.2687383133222067,"score_spread":0.18472034615618632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608774414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011106233,0.003216202,0.9727149,0.00009784371,0.0007275491,0.00019067411,0.000025887515,0.000037029284,0.011883678],"genre_scores_gemma":[0.5520641,0.0043718372,0.43511614,0.0015880063,0.0032449625,0.000009392357,0.0001106873,0.00013370397,0.0033611383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980359,0.0000055875726,0.00061061885,0.0008298245,0.00018317785,0.00033490168],"domain_scores_gemma":[0.9988963,0.0000622452,0.00045568138,0.00043146004,0.00007293095,0.00008138104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011012494,0.00026712188,0.00045816816,0.0012862398,0.0001917411,0.00021154601,0.00045161613,0.00027109229,0.000030730444],"category_scores_gemma":[0.000029627976,0.0002815564,0.00016757108,0.00035976866,0.00030563516,0.0002969447,0.00017947117,0.0003218376,0.00006663169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008012292,0.000019928413,0.00027509156,0.0000163126,0.000020786882,0.0000070001383,0.00096994493,0.68908143,0.000030516605,0.29007936,0.0000069851826,0.019484643],"study_design_scores_gemma":[0.00007244733,0.00002171444,0.000093424715,0.0000345651,0.000008497188,0.0000023518392,1.6779005e-7,0.5673391,0.00002304016,0.43205297,0.00015083716,0.00020087825],"about_ca_topic_score_codex":0.00027985848,"about_ca_topic_score_gemma":0.00017368828,"teacher_disagreement_score":0.54095787,"about_ca_system_score_codex":0.00044150278,"about_ca_system_score_gemma":0.00006768134,"threshold_uncertainty_score":0.99996364},"labels":[],"label_agreement":null},{"id":"W1644774079","doi":"10.22004/ag.econ.148589","title":"Optimal quality choice under uncertainty on market development","year":2012,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ambiguity aversion; Risk aversion (psychology); Duopoly; Microeconomics; Economics; Quality (philosophy); Stackelberg competition; Profit (economics); Ambiguity; Monopoly; Expected utility hypothesis; Computer science; Financial economics; Cournot competition","score_opus":0.10205806360035927,"score_gpt":0.27146931081405073,"score_spread":0.16941124721369147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1644774079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738562,0.0021229861,0.0007535198,0.00092580786,0.0003350143,0.0003365422,0.00043387106,0.00003280196,0.021203244],"genre_scores_gemma":[0.9631277,0.002533234,0.003610437,0.00015229521,0.00013539205,0.0000025077095,0.00032930385,0.000033867804,0.030075269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99768317,0.00012186117,0.0005723605,0.0008358545,0.00020229165,0.0005844596],"domain_scores_gemma":[0.9979232,0.00023621014,0.00064855564,0.0007796412,0.000116732415,0.0002956562],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016303175,0.0003596445,0.00095240906,0.000658891,0.0002883528,0.000058681504,0.0008215647,0.0004230603,0.0087957075],"category_scores_gemma":[0.00004838872,0.00047227982,0.00049477455,0.00027998857,0.00028194184,0.00026952746,0.00094798143,0.0006773483,0.0015624608],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001213492,0.0044277757,0.215914,0.0029547517,0.008445493,0.00012249245,0.029813578,0.046090133,0.00014513829,0.6187223,0.058505908,0.013644927],"study_design_scores_gemma":[0.0025210034,0.00018079007,0.83362275,0.00025528044,0.00018760028,0.0000024497353,0.005420462,0.009654082,0.00018397866,0.0055457503,0.14020333,0.002222514],"about_ca_topic_score_codex":0.008203824,"about_ca_topic_score_gemma":0.0019761694,"teacher_disagreement_score":0.61770874,"about_ca_system_score_codex":0.0005343627,"about_ca_system_score_gemma":0.00014603203,"threshold_uncertainty_score":0.9997729},"labels":[],"label_agreement":null},{"id":"W164590862","doi":"10.2139/ssrn.2446334","title":"Accounting for Semi-Permanence","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Accounting; Business","score_opus":0.011631233052268954,"score_gpt":0.20870278702603354,"score_spread":0.19707155397376458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W164590862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80917597,0.0757177,0.098440856,0.0029946307,0.0008937565,0.00028555494,0.000022577278,0.00007485033,0.012394118],"genre_scores_gemma":[0.9847514,0.009603927,0.00021515446,0.00025684605,0.00053688907,0.0000075901544,0.000006706213,0.000019347603,0.004602159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819237,0.000008051531,0.0003629105,0.00019446974,0.00003229091,0.0012099016],"domain_scores_gemma":[0.99947,0.00003990394,0.00027833713,0.00013132616,0.00003061424,0.000049849376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017524784,0.00010319223,0.00022673087,0.00016012255,0.00022589706,0.00009592879,0.00021745755,0.000055048687,0.00006418897],"category_scores_gemma":[0.000095076146,0.000102988204,0.00020812855,0.00013105627,0.00002482321,0.00023372637,0.000018843624,0.00045393096,0.00021746418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005449074,0.000016840026,0.005066088,0.0000035497962,0.00007567829,1.0249725e-7,0.000057202506,0.00004156566,0.000031751897,0.99300534,0.00023518738,0.0014612529],"study_design_scores_gemma":[0.00037538528,0.000100613266,0.00064745004,0.0000044736744,0.00001700295,0.000026540345,0.00016343928,0.009875905,0.000030465275,0.9586105,0.029985199,0.00016303014],"about_ca_topic_score_codex":0.00005738169,"about_ca_topic_score_gemma":0.00014734193,"teacher_disagreement_score":0.17557544,"about_ca_system_score_codex":0.0002917962,"about_ca_system_score_gemma":0.000086206484,"threshold_uncertainty_score":0.4199737},"labels":[],"label_agreement":null},{"id":"W1683246761","doi":"10.3968/j.aped.1925543820130601.1598","title":"Economics Analysis on the Development of Nigerian Offshore Marginal Fields Using Probabilistic Approach","year":2013,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internal rate of return; Modified internal rate of return; Economics; Rate of return; Econometrics; Net present value; Marginal value; Production (economics); Return on investment; Microeconomics; Investment performance; Finance","score_opus":0.046457154818316526,"score_gpt":0.23379942103788665,"score_spread":0.18734226621957012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1683246761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93103874,0.0027894136,0.06142081,0.00041495555,0.00011100787,0.00031734942,0.0000065652507,0.000013942486,0.0038872184],"genre_scores_gemma":[0.97842085,0.0009405271,0.020157915,0.00011017275,0.000015996004,0.00013548606,0.000047872094,0.000008491355,0.00016267993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986533,0.00001832124,0.0007792049,0.0003220056,0.00004987886,0.00017731293],"domain_scores_gemma":[0.99939317,0.000041397754,0.0003083754,0.0001798969,0.000028420753,0.000048739978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035921132,0.0001524613,0.00036427003,0.00042586168,0.00013676801,0.00006436747,0.00012505936,0.000054262047,0.00013652992],"category_scores_gemma":[0.000021784623,0.00012527948,0.000059261693,0.00034589777,0.00006108718,0.0004633869,0.000044954824,0.00008448255,0.000035049812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060934504,0.00056098896,0.091215566,0.00012914458,0.0007869892,8.015979e-7,0.017381156,0.38483793,0.0000130520175,0.49091187,0.00005872744,0.014042835],"study_design_scores_gemma":[0.0010841604,0.00010500089,0.045827586,0.00005361723,0.00007610284,0.0000012973145,0.008235573,0.84191805,0.00082393206,0.08160899,0.01919161,0.0010740756],"about_ca_topic_score_codex":0.00002342584,"about_ca_topic_score_gemma":0.00029944335,"teacher_disagreement_score":0.45708013,"about_ca_system_score_codex":0.0001393399,"about_ca_system_score_gemma":0.000050464954,"threshold_uncertainty_score":0.5108749},"labels":[],"label_agreement":null},{"id":"W1708090121","doi":"10.1111/iere.12098","title":"A DYNAMIC MODEL OF CLEANUP: ESTIMATING SUNK COSTS IN OIL AND GAS PRODUCTION","year":2015,"lang":"en","type":"article","venue":"International Economic Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sunk costs; Closure (psychology); Incentive; Externality; Production (economics); Investment (military); Economics; Option value; Natural resource economics; Environmental remediation; Value (mathematics); Environmental economics; Microeconomics; Environmental science; Computer science","score_opus":0.05065577325291093,"score_gpt":0.27961682864458426,"score_spread":0.22896105539167333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1708090121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7432602,0.21767862,0.0003427306,0.010064584,0.0012191861,0.00019713026,0.00009986284,0.000023747658,0.027113939],"genre_scores_gemma":[0.6003376,0.38796055,0.0075318925,0.00044426727,0.00010286803,0.000055684843,0.00008361731,0.000025582822,0.0034579318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989456,0.000008488884,0.000677983,0.00025736453,0.000024110655,0.00008648026],"domain_scores_gemma":[0.9993902,0.000014276541,0.00038272707,0.00014089423,0.000026961909,0.000044954555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061247975,0.000087269495,0.0003511639,0.00017706829,0.000011191598,0.000020713074,0.00012897656,0.00002836948,0.00006494381],"category_scores_gemma":[0.00011648269,0.000096134536,0.00007473997,0.000055158864,0.000038716033,0.0002627606,0.00004652685,0.000058895985,0.00013051704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035721267,0.00020437398,0.015189877,0.0009765838,0.0002787083,0.0000029112066,0.0006882101,0.060295694,0.00002639062,0.7774356,0.00413031,0.14073563],"study_design_scores_gemma":[0.00023989036,0.000011998041,0.0001991331,0.00041351462,0.0000109084995,0.000005449188,0.00001806527,0.94504803,0.0000038814837,0.051103637,0.0028263833,0.000119100434],"about_ca_topic_score_codex":0.0005250148,"about_ca_topic_score_gemma":0.00022115814,"teacher_disagreement_score":0.88475233,"about_ca_system_score_codex":0.0003432983,"about_ca_system_score_gemma":0.000023947441,"threshold_uncertainty_score":0.39202526},"labels":[],"label_agreement":null},{"id":"W172096661","doi":"10.2139/ssrn.2130288","title":"Managing Transformational Start-Up Risks: Evidence from ARPA-E Program","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Business; Transformational leadership; Political science; Public relations","score_opus":0.05557660265781707,"score_gpt":0.27051899202986596,"score_spread":0.2149423893720489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W172096661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6970524,0.28735337,0.010673751,0.0021030908,0.0006911142,0.00023101024,0.000036068523,0.00006972394,0.0017894834],"genre_scores_gemma":[0.90436256,0.09367038,0.0004339309,0.00008465546,0.0005341693,0.000015147045,0.00001835316,0.000018692861,0.0008621378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99743855,0.000025948553,0.00054533355,0.00018912101,0.000094012925,0.0017070449],"domain_scores_gemma":[0.99930817,0.00004688379,0.0003062764,0.00016385736,0.000029536273,0.0001453035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015966321,0.00016136383,0.00027418663,0.0002378673,0.00024339132,0.00013767288,0.0002531388,0.00007099779,0.00045350095],"category_scores_gemma":[0.000036470607,0.0001587274,0.00026545327,0.00024123769,0.00004346962,0.0014013161,0.000021585913,0.0008696468,0.00067774334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032199227,0.00014821261,0.0386569,0.0000061061755,0.00047120507,7.4870036e-7,0.0011925749,0.0000745114,0.000019900897,0.94293416,0.00018822581,0.016275289],"study_design_scores_gemma":[0.0006016984,0.0001702044,0.01579295,0.00003620482,0.000086993685,0.000029885749,0.0013380906,0.003531162,0.000074439195,0.9636907,0.014259024,0.00038863768],"about_ca_topic_score_codex":0.000613606,"about_ca_topic_score_gemma":0.00032228316,"teacher_disagreement_score":0.20731013,"about_ca_system_score_codex":0.00065992173,"about_ca_system_score_gemma":0.00014306225,"threshold_uncertainty_score":0.87112457},"labels":[],"label_agreement":null},{"id":"W1807793011","doi":"","title":"CAPITAL BUDGETING DECISION – A FUZZY GOAL PROGRAMMING APPROACH","year":2015,"lang":"en","type":"article","venue":"IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Capital budgeting; Cash flow; Economics; Net present value; Actuarial science; Business; Accounting; Finance; Microeconomics; Project appraisal","score_opus":0.08717980529845339,"score_gpt":0.38768869189825766,"score_spread":0.3005088865998043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1807793011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95800173,0.012488338,0.0043945056,0.020346925,0.0012611366,0.0003446603,0.00009343053,0.00003759159,0.0030316543],"genre_scores_gemma":[0.9778056,0.0030697272,0.017852899,0.00010995418,0.0007051294,0.00002503457,0.000024842735,0.000040392315,0.00036640154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99395025,0.00030057706,0.0026225927,0.00061663386,0.0016908007,0.00081912463],"domain_scores_gemma":[0.96849406,0.00070987863,0.0020342392,0.0002937924,0.028237488,0.00023053466],"candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.017127661,0.00037048498,0.0009844232,0.02651055,0.00039646387,0.0003838856,0.0026685714,0.0008021118,0.00007855098],"category_scores_gemma":[0.011425245,0.0003064305,0.00017370931,0.010053086,0.0041279756,0.0011640609,0.0016096582,0.005042275,0.00002332059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001367518,0.000947056,0.07474252,0.000020413718,0.0023116989,0.00077381753,0.0016295562,0.000015698062,0.0020263789,0.8808016,0.0034101466,0.03195356],"study_design_scores_gemma":[0.006036793,0.003156545,0.007316468,0.0005800477,0.000017264596,0.0039639818,0.026825387,0.00029684123,0.00640532,0.9058889,0.038942836,0.0005696283],"about_ca_topic_score_codex":0.000048933325,"about_ca_topic_score_gemma":0.000008103377,"teacher_disagreement_score":0.06742605,"about_ca_system_score_codex":0.0007524432,"about_ca_system_score_gemma":0.00062387943,"threshold_uncertainty_score":0.9999388},"labels":[],"label_agreement":null},{"id":"W1815007626","doi":"10.1111/caje.12026","title":"The fundamental problem of accounting","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Renting; Depreciation (economics); Economic rent; Economics; Capital (architecture); Fixed capital; Microeconomics; Profit (economics); Financial capital; Capital formation; Engineering","score_opus":0.09571125108410303,"score_gpt":0.16387257046104187,"score_spread":0.06816131937693884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1815007626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98732567,0.0049853697,0.000012299659,0.0023561034,0.00068411964,0.000238514,0.0001205299,0.000003211368,0.0042741806],"genre_scores_gemma":[0.99615407,0.0011704232,0.00047620272,0.0002547923,0.0003108537,0.000018204259,0.000007707833,0.000037145794,0.001570589],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99753034,0.00001860921,0.0015574454,0.00025577765,0.0000017880972,0.000636027],"domain_scores_gemma":[0.9969691,0.00012110702,0.0016146475,0.0003466113,0.0001501994,0.0007983018],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081082166,0.0002063419,0.0006466869,0.00078155054,0.0003200691,0.00040620402,0.0006576992,0.00012535241,0.0009180725],"category_scores_gemma":[0.00009109284,0.00021215815,0.0003923427,0.00018698115,0.00030551117,0.000665486,0.000027927692,0.00025476047,0.00019781514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000078082,0.0000097678685,0.028004041,0.000017009876,0.00024606375,0.000006358478,0.00063957425,0.0005123815,0.000009092371,0.96714884,0.001625742,0.0017733116],"study_design_scores_gemma":[0.0005438057,0.00021671837,0.0072286185,0.000045748664,0.000034284018,0.00009109953,0.0011091556,0.0029845412,0.00007671307,0.89961755,0.08764485,0.0004069221],"about_ca_topic_score_codex":0.449658,"about_ca_topic_score_gemma":0.9348831,"teacher_disagreement_score":0.48522514,"about_ca_system_score_codex":0.0011582893,"about_ca_system_score_gemma":0.00054761313,"threshold_uncertainty_score":0.99999523},"labels":[],"label_agreement":null},{"id":"W1815093792","doi":"","title":"Rexamining the Hotelling Valuation Principle: Empirical Evidence from Canadian Oil and Gas Royalty Trust","year":2009,"lang":"en","type":"article","venue":"ASAC","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; Valuation (finance); Econometrics; Fossil fuel; Market value; Microeconomics; Financial economics; Engineering","score_opus":0.11632069872143729,"score_gpt":0.2835446051882722,"score_spread":0.16722390646683488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1815093792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96880996,0.01979278,0.000124312,0.0069923056,0.000105918094,0.000035990422,0.000019328323,0.000014613283,0.004104766],"genre_scores_gemma":[0.9900319,0.006848565,0.00038375222,0.0010913828,0.00014508153,0.0000038966996,0.000017172315,0.0000068193153,0.001471444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918664,0.000018529245,0.00028232505,0.00027562992,0.00004113618,0.00019571687],"domain_scores_gemma":[0.99940854,0.000105090905,0.000121177574,0.0002322209,0.00001726731,0.00011570669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049254537,0.00009296664,0.00017685248,0.000111036316,0.00021244693,0.00011985061,0.00013031781,0.000066089844,0.00019746747],"category_scores_gemma":[0.0001717674,0.00007942438,0.00005649394,0.00019300087,0.00003661474,0.00016913388,0.00001579714,0.00011570919,0.00015865116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002721775,0.00006947269,0.74729174,0.00001241982,0.00020425674,0.000020962898,0.008998671,0.0013354656,0.00007360392,0.11396766,0.0034695147,0.12452904],"study_design_scores_gemma":[0.00024766088,0.00008037958,0.7545986,0.000050349903,0.000057043762,0.0000017946434,0.00019106144,0.1311859,0.00008283487,0.08415676,0.02901157,0.00033602354],"about_ca_topic_score_codex":0.037679993,"about_ca_topic_score_gemma":0.017636886,"teacher_disagreement_score":0.12985045,"about_ca_system_score_codex":0.00009698874,"about_ca_system_score_gemma":0.000035569574,"threshold_uncertainty_score":0.9841796},"labels":[],"label_agreement":null},{"id":"W1819669609","doi":"","title":"Private Investment, Uncertainty, and Irreversibility in Uganda","year":2001,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Investment (military); Economics; Econometrics; Sample (material); Measure (data warehouse); Return on investment; Investment decisions; Selection (genetic algorithm); Panel data; Microeconomics; Monetary economics; Thermodynamics; Behavioral economics; Physics; Production (economics); Computer science","score_opus":0.031389096965968546,"score_gpt":0.22626879813602385,"score_spread":0.19487970117005532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1819669609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9501123,0.003753007,0.000044876495,0.00060671696,0.00005763699,0.000104033,0.000009154578,0.000020088608,0.045292187],"genre_scores_gemma":[0.9911327,0.0037766688,0.00031405073,0.0009471296,0.00002139473,0.0000066529883,0.000010703584,0.000006532558,0.0037841909],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99915445,0.0000080981345,0.00032724082,0.00030808174,0.000018807468,0.0001833182],"domain_scores_gemma":[0.9996266,0.000020329015,0.00007949524,0.00019409343,0.000006226708,0.000073255374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002827075,0.000095682386,0.00023753803,0.00019714847,0.00004137069,0.00004107931,0.000082095576,0.000051523268,0.0008018831],"category_scores_gemma":[0.000030974432,0.00009352265,0.00005825117,0.00030103035,0.000066361616,0.00017710985,0.00006009773,0.00006877275,0.00020701555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060413927,0.000046566893,0.4867236,0.000003890003,0.000015367317,0.0000037663806,0.00014036938,0.000022805469,0.0000054261204,0.5126357,0.00027924395,0.00011718227],"study_design_scores_gemma":[0.0009975435,0.00005244188,0.31078678,0.0000066098282,0.0000080956115,0.000003737327,0.00017762707,0.009918218,0.00003298837,0.62125146,0.056454524,0.00030993202],"about_ca_topic_score_codex":0.0016582945,"about_ca_topic_score_gemma":0.00088368193,"teacher_disagreement_score":0.1759368,"about_ca_system_score_codex":0.00007501571,"about_ca_system_score_gemma":0.000004746933,"threshold_uncertainty_score":0.8780058},"labels":[],"label_agreement":null},{"id":"W1838450461","doi":"10.1002/pmj.21526","title":"The Effectiveness of Portfolio Risk Diversification: An Additive Approach by Project Replication","year":2015,"lang":"en","type":"article","venue":"Project Management Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Diversification (marketing strategy); Project portfolio management; Portfolio; Risk management; Risk analysis (engineering); Business; Application portfolio management; Modern portfolio theory; Actuarial science; Project risk management; Probabilistic logic; Project management; Economics; Computer science; Finance; Marketing","score_opus":0.04882692525894184,"score_gpt":0.26514722690274817,"score_spread":0.21632030164380633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1838450461","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4288522,0.07870229,0.03618381,0.0003544204,0.0014530815,0.0069350554,0.0007494694,0.00020357041,0.4465661],"genre_scores_gemma":[0.9716466,0.023151256,0.0018269295,0.0000277628,0.00014826415,0.00018258923,0.00019769798,0.000026510084,0.0027923596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986305,0.00020315003,0.00049602747,0.00035571394,0.0001183549,0.0001962543],"domain_scores_gemma":[0.99842626,0.000057813577,0.00084935455,0.0004889024,0.00011366267,0.00006402107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004290852,0.00012913595,0.00023921703,0.00031698527,0.00030300807,0.00016548464,0.00038127194,0.000043803582,0.000011976024],"category_scores_gemma":[0.00010509748,0.00010041345,0.00014040266,0.0005317515,0.000085342,0.0003922611,0.00008000243,0.00016243245,0.000027821778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064919534,0.001093341,0.040517185,0.00013445082,0.0018466514,0.0000064972346,0.002844431,0.00014364671,0.00001426548,0.8784662,0.06494513,0.009339033],"study_design_scores_gemma":[0.007580648,0.0019011941,0.08720047,0.0001270628,0.0009884718,0.00007020373,0.027012821,0.037117913,0.00082595006,0.45364067,0.38185868,0.0016759116],"about_ca_topic_score_codex":0.00030751387,"about_ca_topic_score_gemma":0.000002451308,"teacher_disagreement_score":0.5427944,"about_ca_system_score_codex":0.00016046801,"about_ca_system_score_gemma":0.000027742746,"threshold_uncertainty_score":0.40947413},"labels":[],"label_agreement":null},{"id":"W1839598174","doi":"10.1109/pesgm.2015.7286028","title":"Managing uncertainty of wind energy with Wind Generators Cooperative","year":2015,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Renewable energy; Wind power; Variable renewable energy; Electricity; Tariff; Computer science; Sensitivity (control systems); Smoothing; Incentive; Environmental economics; Economics; Electric power system; Econometrics; Mathematical optimization; Power (physics); Microeconomics; Engineering; Electrical engineering; Mathematics","score_opus":0.03130290606515431,"score_gpt":0.2060183897924235,"score_spread":0.1747154837272692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1839598174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85839474,0.0077952147,0.0025552986,0.0005995439,0.00015529708,0.00009162915,0.000043143773,0.00003122007,0.1303339],"genre_scores_gemma":[0.99209523,0.00040957637,0.0005711602,0.00027925352,0.000057347876,0.0000018738463,0.000022529828,0.000012725357,0.006550308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99924725,0.000009410506,0.00030961022,0.00023960439,0.00004015265,0.0001539707],"domain_scores_gemma":[0.99946547,0.0000116731635,0.0001600772,0.00019346249,0.00006553026,0.000103793165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016390739,0.000116551906,0.0003153156,0.00018746401,0.000041966257,0.000035495887,0.000107091044,0.00004238518,0.00030269322],"category_scores_gemma":[0.000010665082,0.00009386351,0.000064601394,0.0003390395,0.0000835809,0.00016094958,0.000032682332,0.0000422738,0.00006219891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021324524,0.000054164342,0.01207852,0.0000035616688,0.0001847528,0.0000038024791,0.0005046874,0.017537862,0.000014393862,0.96727806,0.0021395453,0.00017935007],"study_design_scores_gemma":[0.008806151,0.0023011377,0.007035601,0.00007727471,0.00027297984,0.000019971807,0.009616786,0.33595946,0.018097438,0.41063657,0.20404787,0.0031287444],"about_ca_topic_score_codex":0.002034931,"about_ca_topic_score_gemma":0.00043085634,"teacher_disagreement_score":0.55664146,"about_ca_system_score_codex":0.000057909525,"about_ca_system_score_gemma":0.000027217653,"threshold_uncertainty_score":0.3827643},"labels":[],"label_agreement":null},{"id":"W1843450172","doi":"10.1111/cjag.12019","title":"A Real Options Approach for the Investment Decisions of a Farm‐Based Anaerobic Digester","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Net present value; Profitability index; Present value; Option value; Revenue; Investment (military); Business; Economics; Sunk costs; Value (mathematics); Agricultural science; Finance; Agricultural economics; Microeconomics; Production (economics); Environmental science","score_opus":0.04611970359915456,"score_gpt":0.17932614201806404,"score_spread":0.1332064384189095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1843450172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98798156,0.00429935,0.0002567212,0.0034891325,0.0007056021,0.00081266003,0.00063748774,0.0000062605704,0.0018112573],"genre_scores_gemma":[0.99205375,0.0011710899,0.0043056807,0.00066763465,0.00040486926,0.00013734908,0.00013088738,0.00003478608,0.0010939606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99723965,0.000022076356,0.0016431593,0.0003916746,0.000010227785,0.0006932394],"domain_scores_gemma":[0.996613,0.000282818,0.0014151264,0.00042464715,0.00021717975,0.0010472046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000509983,0.00031859765,0.0008745075,0.00058563077,0.00034037366,0.0002466416,0.0007666308,0.00015804199,0.00035434804],"category_scores_gemma":[0.00012369623,0.00024010481,0.0007995568,0.00024799193,0.00023669985,0.00049924426,0.000025261312,0.0002240613,0.000048611982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025581825,0.000079179874,0.0057804086,0.000035105186,0.0008547168,0.0000034384716,0.0012309767,0.038466197,0.000053493888,0.94555426,0.0074452334,0.0004713939],"study_design_scores_gemma":[0.008468822,0.0026713258,0.6039134,0.00025143297,0.0011525083,0.00040286974,0.014948902,0.07467961,0.00039469355,0.2063597,0.083015084,0.0037416155],"about_ca_topic_score_codex":0.09603683,"about_ca_topic_score_gemma":0.3692444,"teacher_disagreement_score":0.7391946,"about_ca_system_score_codex":0.0011988765,"about_ca_system_score_gemma":0.00040156487,"threshold_uncertainty_score":0.979119},"labels":[],"label_agreement":null},{"id":"W1863256215","doi":"","title":"Management Views on Real Options in Capital Budgeting","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; Ontario Tech University","funders":"","keywords":"Capital budgeting; Business; Sample (material); Capital (architecture); Finance; Actuarial science; Economics; Geography","score_opus":0.01424173013098558,"score_gpt":0.2286189011888007,"score_spread":0.21437717105781512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1863256215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964667,0.00834214,0.00009602949,0.00075564464,0.00038424888,0.00010731088,0.0000051176116,0.000016129537,0.02562636],"genre_scores_gemma":[0.92227393,0.072107114,0.00021513592,0.00007226875,0.00021477367,0.000009657977,0.0000069199746,0.000017123208,0.0050831013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980973,0.00001406766,0.0004805717,0.00024233635,0.00004832447,0.001117406],"domain_scores_gemma":[0.99950254,0.000014860259,0.00021972643,0.00018655496,0.000011462698,0.000064840606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015149352,0.0001267746,0.00022922251,0.0004650855,0.0001489134,0.00007660533,0.00021436026,0.000068732814,0.00019045481],"category_scores_gemma":[0.000017177557,0.00012696574,0.00017585265,0.0002491426,0.000030216166,0.00015709693,0.000031059953,0.0014198826,0.00058682036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007327511,0.00009219463,0.005194902,0.0000019806737,0.00007688246,0.0000064098103,0.00015887887,0.000053060186,0.000028723845,0.9929023,0.00005532657,0.0014220049],"study_design_scores_gemma":[0.00056948443,0.00011880983,0.015113279,0.000007880192,0.000014681616,0.000031053034,0.0009106575,0.0005496381,0.000010566285,0.9773217,0.005135191,0.00021710366],"about_ca_topic_score_codex":0.00029199303,"about_ca_topic_score_gemma":0.004825834,"teacher_disagreement_score":0.063764974,"about_ca_system_score_codex":0.00042480923,"about_ca_system_score_gemma":0.00005956078,"threshold_uncertainty_score":0.75425845},"labels":[],"label_agreement":null},{"id":"W1869277588","doi":"10.2139/ssrn.1562100","title":"Cash Flow Multipliers and Optimal Investment Decisions","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cash flow; Investment (military); Economics; Operating cash flow; Cash flow forecasting; Cash management; Business; Monetary economics; Microeconomics; Finance; Actuarial science; Political science","score_opus":0.032997916481694554,"score_gpt":0.20756118496691037,"score_spread":0.1745632684852158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1869277588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88965887,0.093970634,0.0063955425,0.0003416124,0.0003224773,0.00015441942,0.0000219033,0.000032173804,0.009102377],"genre_scores_gemma":[0.9214876,0.071077,0.0041512144,0.00028847792,0.000121242825,0.0000071808836,0.0000055088135,0.000025609192,0.002836129],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980868,0.0000141461915,0.00043257844,0.0002614851,0.000046150348,0.001158802],"domain_scores_gemma":[0.99940187,0.000024593168,0.000212229,0.00017202744,0.000022719296,0.00016654325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089085876,0.00015072772,0.00027167425,0.00028266432,0.00024096723,0.00006226788,0.00018162873,0.00007638622,0.00021896753],"category_scores_gemma":[0.000061578714,0.00014272571,0.00016636011,0.0001690497,0.000080556885,0.00023878407,0.000055579738,0.0006508955,0.00022716612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019839694,0.000073842275,0.0069430727,9.143961e-7,0.00025974918,0.0000053706217,0.00082741055,0.000040112085,0.0000065761637,0.9897182,0.00019023106,0.0019146596],"study_design_scores_gemma":[0.00077546027,0.00025066215,0.004317667,0.0000067401206,0.000043329816,0.00015678696,0.0013871363,0.005981822,0.000030938125,0.9835112,0.003264609,0.00027363404],"about_ca_topic_score_codex":0.00023100738,"about_ca_topic_score_gemma":0.0004035403,"teacher_disagreement_score":0.03182878,"about_ca_system_score_codex":0.000378403,"about_ca_system_score_gemma":0.00014471769,"threshold_uncertainty_score":0.5820185},"labels":[],"label_agreement":null},{"id":"W1871424574","doi":"10.2469/faj.v56.n3.2362","title":"Real-Options Valuation for a Biotechnology Company","year":2000,"lang":"en","type":"article","venue":"Financial Analysts Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":211,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Valuation (finance); Business; Economics; Biotechnology; Financial economics; Actuarial science; Finance; Biology","score_opus":0.03880291687966075,"score_gpt":0.24945624695132246,"score_spread":0.2106533300716617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871424574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618348,0.018258598,0.009395201,0.0045531145,0.00056490995,0.00031587825,0.0002140628,0.00008675937,0.0047767092],"genre_scores_gemma":[0.93428284,0.046340097,0.006400025,0.00039851922,0.0012636202,0.00005006562,0.00011210887,0.000036046844,0.011116653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99869007,0.000016238599,0.0006954654,0.00025404865,0.00004990455,0.00029424584],"domain_scores_gemma":[0.99930114,0.000023541901,0.00033125473,0.00018836634,0.000064345724,0.00009136504],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056751614,0.00013295954,0.0004100583,0.000504246,0.00042228316,0.00009454003,0.00020360215,0.00016129257,0.0016820469],"category_scores_gemma":[0.00008725376,0.00013506788,0.0004216898,0.00052399345,0.000066102795,0.00020989531,0.000013031283,0.00019104536,0.0006572718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036125788,0.000124726,0.0022986836,0.0000053197414,0.00012694599,0.0000054354923,0.00017150973,0.0006582547,0.00010965403,0.9847145,0.0062283445,0.0055204662],"study_design_scores_gemma":[0.0010751717,0.00021456463,0.035120323,0.000014988343,0.00012892348,0.000044337095,0.00003625182,0.028301828,0.00012811081,0.8270696,0.10749923,0.00036667282],"about_ca_topic_score_codex":0.00018387618,"about_ca_topic_score_gemma":0.000120268895,"teacher_disagreement_score":0.15764493,"about_ca_system_score_codex":0.00012340481,"about_ca_system_score_gemma":0.000042627773,"threshold_uncertainty_score":0.99923056},"labels":[],"label_agreement":null},{"id":"W1925534602","doi":"10.2139/ssrn.1553322","title":"An Option to Ally: A Dyadic Analysis of Corporate Venture Capital Relationships","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Corporate venture capital; Venture capital; Business; Equity (law); Portfolio; Social venture capital; Alliance; Corporate governance; New Ventures; Finance; Industrial organization; Entrepreneurship","score_opus":0.023954111075707857,"score_gpt":0.22593082916483764,"score_spread":0.2019767180891298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925534602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907757,0.0042961575,0.0040082578,0.0003864928,0.00018907401,0.00007771299,0.000036601443,0.000013561421,0.00021641488],"genre_scores_gemma":[0.99633944,0.0024116288,0.00035333296,0.00004723387,0.00013921988,0.000004204252,0.00006391225,0.000015720969,0.00062529754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983462,0.000031266147,0.0005677984,0.0002492895,0.00006860291,0.00073685276],"domain_scores_gemma":[0.9988053,0.000019520885,0.0006679308,0.00028391965,0.00007158561,0.00015175516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017556649,0.00012652944,0.00038246598,0.0010980908,0.00017744092,0.00007042575,0.00025253848,0.000121532226,0.00019420413],"category_scores_gemma":[0.00006714165,0.0001294627,0.00032704865,0.0011852332,0.000041098396,0.00031372363,0.000016567608,0.0012645521,0.00011876952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017117409,0.00009144319,0.07529184,0.0000011846715,0.0009704657,9.2806596e-7,0.00044935002,0.00121703,0.0006501644,0.92106533,0.000017935781,0.00022720045],"study_design_scores_gemma":[0.0002968975,0.00028919228,0.11361553,0.0000027088142,0.00048314844,0.000018460047,0.0008252743,0.009877146,0.000054699307,0.8739015,0.00039681085,0.00023865943],"about_ca_topic_score_codex":0.00024313193,"about_ca_topic_score_gemma":0.007392097,"teacher_disagreement_score":0.047163866,"about_ca_system_score_codex":0.00023374581,"about_ca_system_score_gemma":0.00017346599,"threshold_uncertainty_score":0.549392},"labels":[],"label_agreement":null},{"id":"W193255609","doi":"","title":"Corporate Finance Practices in Canada: Where Do We Stand?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; Ontario Tech University","funders":"","keywords":"Capital budgeting; Cost of capital; Weighted average cost of capital; Corporate finance; Capital structure; Finance; Return on capital; Economic capital; Pecking order theory; Modified internal rate of return; Economics; Internal rate of return; Business; Capital adequacy ratio; Net present value; Financial capital; Financial economics; Individual capital; Microeconomics; Project appraisal; Capital formation; Return on investment; Production (economics); Debt; Investment performance","score_opus":0.04902163474493701,"score_gpt":0.20996362781910025,"score_spread":0.16094199307416324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W193255609","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48439398,0.5107372,0.00010403379,0.0008552584,0.00022442295,0.000067940586,0.000014681452,0.0000059285276,0.0035965473],"genre_scores_gemma":[0.63989866,0.35773864,0.00006533813,0.000024267863,0.00005312764,0.0000031523634,6.4793534e-7,0.000011707344,0.002204448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99788594,0.000024192348,0.0005397781,0.0002513543,0.000058244616,0.0012404968],"domain_scores_gemma":[0.9982229,0.000020655236,0.0014881786,0.0001766959,0.000030426267,0.000061182516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010254994,0.00014257517,0.00031524443,0.00019514628,0.000099663666,0.000049981252,0.0002728751,0.000053480035,0.00031320963],"category_scores_gemma":[0.00004378192,0.00014173091,0.00009068962,0.00034314868,0.000027669957,0.00040462564,0.000026199625,0.0009587025,0.00010290114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032656804,0.000049178634,0.11144403,0.000006179127,0.0001068708,0.000023365992,0.0002556145,0.000026942014,0.0000015926873,0.88631374,0.00044828712,0.0012915306],"study_design_scores_gemma":[0.0005285456,0.000116871175,0.011625848,0.000028075923,0.000017051834,0.000056818324,0.001967977,0.0005130099,0.000015956399,0.96076655,0.024094874,0.00026842646],"about_ca_topic_score_codex":0.5391871,"about_ca_topic_score_gemma":0.9580464,"teacher_disagreement_score":0.4188593,"about_ca_system_score_codex":0.002218325,"about_ca_system_score_gemma":0.0029579834,"threshold_uncertainty_score":0.5800842},"labels":[],"label_agreement":null},{"id":"W1939145248","doi":"10.1109/re.2015.7320428","title":"Using real options to manage Technical Debt in Requirements Engineering","year":2015,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Technical debt; Requirements engineering; Computer science; Requirements management; Risk analysis (engineering); Requirements elicitation; Requirement; Valuation (finance); Non-functional requirement; Requirements analysis; Requirement prioritization; Context (archaeology); Software development; Software; Business; Finance; Software construction","score_opus":0.14420797228853188,"score_gpt":0.2919578441073404,"score_spread":0.1477498718188085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1939145248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9343053,0.0016870879,0.009078112,0.00042130952,0.0002197734,0.00020953937,0.000011983849,0.000083333034,0.05398355],"genre_scores_gemma":[0.9735735,0.00032075305,0.024476768,0.000117241216,0.000046477646,0.000011706563,0.000006590122,0.000013428528,0.0014335345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930614,0.0000025855772,0.0003046252,0.00019159852,0.00002581402,0.00016923509],"domain_scores_gemma":[0.99967605,0.0000057286425,0.0000384848,0.0001621619,0.000009193175,0.00010839311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589385,0.0000716267,0.00017193708,0.0004012028,0.000018217916,0.000035323945,0.00010013345,0.000044221655,0.00007926572],"category_scores_gemma":[0.000033439235,0.00007945894,0.00005211393,0.00041290326,0.0000078631865,0.00015139898,0.00006698115,0.000050989096,0.00030823916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003363145,0.00005317449,0.01824116,0.000003366136,0.000017301065,0.0000061106157,0.00013592892,0.009161773,0.00020133927,0.9717587,0.00038499915,0.00003276172],"study_design_scores_gemma":[0.0023107394,0.00023327416,0.11263604,0.00007467039,0.000053423635,0.000011432285,0.0005783109,0.6896048,0.00044571454,0.16218139,0.03022219,0.0016480023],"about_ca_topic_score_codex":0.0014590427,"about_ca_topic_score_gemma":0.00029773725,"teacher_disagreement_score":0.80957735,"about_ca_system_score_codex":0.0002048968,"about_ca_system_score_gemma":0.0000043639834,"threshold_uncertainty_score":0.39618936},"labels":[],"label_agreement":null},{"id":"W1946879992","doi":"10.1111/j.1468-2443.2009.01099.x","title":"Optimal Expansion Financing and Prior Financial Structure<sup>*</sup>","year":2011,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Capital structure; Debt-to-capital ratio; Leverage (statistics); Profitability index; Debt; Finance; Economics; Internal financing; Corporate finance; Agency cost; Monetary economics; Equity ratio; Return on equity; Corporate governance; Mathematics","score_opus":0.02454907436360551,"score_gpt":0.23413381304827222,"score_spread":0.2095847386846667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1946879992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7792752,0.21543917,0.0006916481,0.00033777466,0.00027358963,0.00020713395,0.00020356846,0.00001410745,0.0035578348],"genre_scores_gemma":[0.808309,0.1825358,0.007745228,0.00057998183,0.00008085404,0.000015333277,0.000027682085,0.000013501249,0.0006926151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986871,0.0000094094285,0.00072196894,0.00034423984,0.00007599742,0.00016129471],"domain_scores_gemma":[0.9991584,0.000023480317,0.000476539,0.00022669566,0.000077577744,0.00003732271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025095392,0.00015634584,0.00046439303,0.00014984298,0.00005456223,0.0000148002555,0.00027610574,0.00006688928,0.00064935884],"category_scores_gemma":[0.0002720779,0.00015511899,0.00016886018,0.00018081523,0.000086221226,0.0002729557,0.000091755166,0.00011312429,0.000068209694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003978141,0.00013097188,0.007814094,0.0009774363,0.00008735333,0.000014884433,0.0009591322,0.00018812314,0.000026218742,0.9468791,0.0031429098,0.039739996],"study_design_scores_gemma":[0.002930946,0.0006575317,0.32891464,0.013438297,0.00020491518,0.00010979807,0.00012572152,0.06404452,0.003908461,0.2200004,0.36333418,0.00233058],"about_ca_topic_score_codex":0.0001248796,"about_ca_topic_score_gemma":0.000005285944,"teacher_disagreement_score":0.7268787,"about_ca_system_score_codex":0.000043540833,"about_ca_system_score_gemma":0.00002853739,"threshold_uncertainty_score":0.7110024},"labels":[],"label_agreement":null},{"id":"W1963737229","doi":"10.1002/nav.20327","title":"Natural gas storage valuation and optimization: A real options application","year":2009,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Straddle; Valuation (finance); Natural gas storage; Natural gas; Computer science; Variable (mathematics); Operations research; Mathematical optimization; Mathematics; Economics; Finance; Engineering; Waste management","score_opus":0.12423547018829438,"score_gpt":0.35263074779858056,"score_spread":0.22839527761028616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963737229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21313098,0.083670676,0.58318335,0.02165055,0.0009120938,0.0043862187,0.00048398043,0.0004863318,0.092095844],"genre_scores_gemma":[0.9788623,0.012311518,0.006763159,0.000083831954,0.00019310472,0.00004698732,0.00021605473,0.00001244904,0.0015106281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866724,0.000055256056,0.00037771472,0.00040059927,0.00017435585,0.00032485215],"domain_scores_gemma":[0.99905354,0.00013086936,0.0001267983,0.00030122593,0.00025854094,0.00012902722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231903,0.00011364059,0.00021521421,0.00042204984,0.0003244637,0.00022014092,0.00017605815,0.0001117827,0.00012076979],"category_scores_gemma":[0.00052482187,0.00012004018,0.00006590821,0.00061448035,0.00018001549,0.0002239105,0.000056877423,0.00031086663,0.00025883364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001735725,0.00010215109,0.00063796464,0.000009046212,0.000024358185,0.000002522958,0.00017300958,0.013199664,0.00012416423,0.9823291,0.0011490716,0.002231642],"study_design_scores_gemma":[0.00027312385,0.00013260829,0.011229828,0.000004979669,0.000010630132,0.0000018342215,0.000076273696,0.62724084,0.00001814441,0.35999778,0.00086613244,0.00014782297],"about_ca_topic_score_codex":0.0005957356,"about_ca_topic_score_gemma":0.000048118916,"teacher_disagreement_score":0.7657313,"about_ca_system_score_codex":0.00020567756,"about_ca_system_score_gemma":0.000035520276,"threshold_uncertainty_score":0.48950964},"labels":[],"label_agreement":null},{"id":"W1964795734","doi":"10.1179/174328608x318261","title":"A flexible mine production model based on stochastic price simulations: application at Raglan mine, Canada","year":2007,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Production (economics); Range (aeronautics); Computer science; Economic evaluation; Process (computing); Operations research; Stochastic simulation; Econometrics; Statistics; Engineering; Economics; Mathematics","score_opus":0.025371271093995652,"score_gpt":0.2292256648827177,"score_spread":0.20385439378872205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964795734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64736587,0.00043019356,0.35043967,0.00080527324,0.00027405485,0.00018320465,0.000042768832,0.00004453842,0.0004144453],"genre_scores_gemma":[0.9913853,0.000028370005,0.00712109,0.000039215727,0.000021807662,0.000033905024,0.00001437258,0.000011521805,0.0013444268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988087,0.000009771574,0.0005960269,0.00032510236,0.00008375474,0.00017664093],"domain_scores_gemma":[0.9989275,0.00007880999,0.00043927148,0.00042245665,0.000089708315,0.000042268188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032180175,0.00014706285,0.00029311795,0.0008744644,0.00044741877,0.0000066286834,0.00016108328,0.00015246443,0.000024198886],"category_scores_gemma":[0.00016706882,0.00014251955,0.00010752425,0.0011093257,0.000301437,0.00009865376,0.000016143324,0.00013234207,0.000001323608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000553981,0.00019030122,0.0014485726,0.000026943075,0.00012534908,2.3068218e-7,0.00019677923,0.9756899,0.0021237005,0.019221894,0.00005437063,0.00086657825],"study_design_scores_gemma":[0.0009333895,0.00017250133,0.0021139719,0.000103248334,0.00024542847,0.000022970506,0.0007860195,0.9797327,0.011377926,0.0017555318,0.0024087555,0.0003475613],"about_ca_topic_score_codex":0.008357134,"about_ca_topic_score_gemma":0.08288777,"teacher_disagreement_score":0.34401944,"about_ca_system_score_codex":0.00022963747,"about_ca_system_score_gemma":0.00014239569,"threshold_uncertainty_score":0.9982463},"labels":[],"label_agreement":null},{"id":"W1966540714","doi":"10.1108/00251741011022590","title":"Improved capital budgeting decision making: evidence from Canada","year":2010,"lang":"en","type":"article","venue":"Management Decision","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Weighted average cost of capital; Capital budgeting; Discounted cash flow; Cost of capital; Net present value; Cash flow; Actuarial science; Economics; Capital expenditure; Value (mathematics); Internal rate of return; Business; Finance; Economic capital; Microeconomics; Computer science; Project appraisal","score_opus":0.018157740561189357,"score_gpt":0.2290506971015223,"score_spread":0.21089295654033294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966540714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815016,0.0039869747,0.008974324,0.00026588383,0.0019356034,0.00024349731,0.00004943656,0.000041345007,0.0030013525],"genre_scores_gemma":[0.97735804,0.0009325334,0.02002618,0.0003326069,0.0001714316,0.000017651233,0.000020669642,0.000026861373,0.0011140018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980539,0.000008377486,0.0007356008,0.0007133248,0.00014282874,0.0003459424],"domain_scores_gemma":[0.9984955,0.0003435359,0.00027403206,0.0007364609,0.00003681354,0.00011366038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053365907,0.00022263832,0.00035076635,0.0002895837,0.00021115414,0.00024182069,0.00055986864,0.00009349168,0.0015181644],"category_scores_gemma":[0.000291106,0.00022338101,0.00016146526,0.00036239365,0.000033539385,0.00034121732,0.00036799323,0.00022682361,0.00046845307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038478087,0.00035171027,0.38624114,0.00006285387,0.0006994185,0.0002540378,0.0008531241,0.0006054025,0.0010647734,0.20626467,0.06349315,0.33972493],"study_design_scores_gemma":[0.0013692152,0.000086608714,0.46308252,0.00030409647,0.00011465853,0.0000030360018,0.0005054754,0.050437532,0.00028996644,0.43544635,0.04708436,0.00127618],"about_ca_topic_score_codex":0.12972294,"about_ca_topic_score_gemma":0.30320865,"teacher_disagreement_score":0.33844873,"about_ca_system_score_codex":0.00016429635,"about_ca_system_score_gemma":0.000020700165,"threshold_uncertainty_score":0.9993946},"labels":[],"label_agreement":null},{"id":"W1967084896","doi":"10.2139/ssrn.354800","title":"Irreversible Investment, Real Options, and Competition: Evidence from Real Estate Development","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Real estate; Competition (biology); Real estate development; Investment (military); Business; Economics; Industrial organization; Finance; Political science","score_opus":0.028068852600104586,"score_gpt":0.22605596500632122,"score_spread":0.19798711240621664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967084896","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9211624,0.06627479,0.0007631561,0.0004403362,0.00020896598,0.000111171175,0.0000138226505,0.000026784759,0.010998561],"genre_scores_gemma":[0.33207014,0.6629605,0.0019950382,0.00009048842,0.000078865545,0.000006989374,0.000020296298,0.000015380498,0.002762252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981661,0.000046310353,0.0004997886,0.00030904144,0.00006645047,0.0009123455],"domain_scores_gemma":[0.9993333,0.000047256563,0.00029629708,0.0001580257,0.000031099255,0.00013398865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011739334,0.00016007875,0.00027770866,0.00020829079,0.0003362501,0.00012459523,0.00014192762,0.00006557011,0.00023781275],"category_scores_gemma":[0.0000388226,0.00016735756,0.000095135554,0.00020754925,0.000064762535,0.00042377342,0.000030695912,0.0005182823,0.00021872058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010162735,0.000043062817,0.027514925,0.0000031482866,0.00020051574,0.000003264278,0.00048351305,0.000019185907,0.00002939755,0.97113246,0.00007595461,0.0004844022],"study_design_scores_gemma":[0.00073496293,0.0001406363,0.017581286,0.00003898458,0.00005059618,0.00006533729,0.0014476114,0.00020334659,0.00011840519,0.96470344,0.014537614,0.00037776952],"about_ca_topic_score_codex":0.0014136713,"about_ca_topic_score_gemma":0.002367203,"teacher_disagreement_score":0.59668577,"about_ca_system_score_codex":0.000855425,"about_ca_system_score_gemma":0.00047223733,"threshold_uncertainty_score":0.68246436},"labels":[],"label_agreement":null},{"id":"W1968086531","doi":"10.1016/j.energy.2014.06.080","title":"Evaluating China's biomass power production investment based on a policy benefit real options model","year":2014,"lang":"en","type":"article","venue":"Energy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"State Key Laboratory of Water Environment Simulation; National Science Foundation","keywords":"Renminbi; Subsidy; Investment (military); Production (economics); Incentive; Revenue; China; Natural resource economics; Economics; Business; Biomass (ecology); Agricultural economics; Environmental economics; Microeconomics; Finance; Market economy; Exchange rate","score_opus":0.03701363841107653,"score_gpt":0.2678305932463492,"score_spread":0.2308169548352727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968086531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86436355,0.0014808822,0.0045601856,0.006129323,0.0005273866,0.00017541344,0.00006409524,0.0001504569,0.12254872],"genre_scores_gemma":[0.98913485,0.00037412034,0.0025402901,0.00091009494,0.000278737,0.000056383327,0.00007652776,0.000026760557,0.006602226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888104,0.000020469712,0.0003605237,0.00043219025,0.00007192169,0.00023386082],"domain_scores_gemma":[0.9992363,0.000014899223,0.00020921775,0.0004211629,0.000025253023,0.000093205344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038929912,0.00015493912,0.00023571496,0.00053126743,0.00017239663,0.00005530866,0.000120619094,0.00007343924,0.00010684419],"category_scores_gemma":[0.00009537374,0.00015842117,0.00015632945,0.00039113933,0.000038146627,0.000118061245,0.000030532596,0.00006051083,0.000100516576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073957312,0.00010122529,0.00020430394,0.0000027990309,0.000024543355,1.4300892e-7,0.000092451926,0.18264566,0.00024126307,0.8160469,0.00027554223,0.00035776696],"study_design_scores_gemma":[0.00024325258,0.00013589543,0.00313606,0.000007142594,0.000010718517,3.1285134e-7,0.0000066795324,0.76073855,0.00038335664,0.23297083,0.0021888183,0.00017836098],"about_ca_topic_score_codex":0.002794142,"about_ca_topic_score_gemma":0.00013625067,"teacher_disagreement_score":0.58307606,"about_ca_system_score_codex":0.00019095223,"about_ca_system_score_gemma":0.000027270647,"threshold_uncertainty_score":0.6460228},"labels":[],"label_agreement":null},{"id":"W1968940936","doi":"10.1080/00137910600705210","title":"Valuing Real Capital Investments Using The Least-Squares Monte Carlo Method","year":2006,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Valuation (finance); Monte Carlo method; Computer science; Mathematical optimization; Econometrics; Economics; Mathematics; Finance; Statistics","score_opus":0.021755859306881918,"score_gpt":0.21459354554608143,"score_spread":0.1928376862391995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968940936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985593,0.0070733256,0.0027227558,0.0004507903,0.00050592585,0.00020847906,0.000061969724,0.00008620634,0.00329755],"genre_scores_gemma":[0.99523073,0.00023222661,0.0019505058,0.00011514243,0.0004872023,0.000026358484,0.000010117354,0.000048777045,0.0018989132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987351,0.000018892613,0.00053378654,0.00032292842,0.000035568268,0.00035377647],"domain_scores_gemma":[0.999142,0.00009514044,0.00022321322,0.0004689886,0.000013456865,0.000057204987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058012956,0.00022689576,0.00034998165,0.00013781188,0.0002524711,0.00019353317,0.00036872074,0.00006793429,0.00008171677],"category_scores_gemma":[0.000022948716,0.00017526852,0.0002431753,0.00016726465,0.000064780106,0.0002040019,0.00008513867,0.00017941464,0.00011671652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005600945,0.00003087954,0.003947357,0.000016513462,0.00021164416,0.0000032756438,0.0006850778,0.5238591,0.00017165596,0.47047818,0.0004945288,0.00009620327],"study_design_scores_gemma":[0.0004201256,0.000020538824,0.016346423,0.000013886896,0.00007487709,0.000013178668,0.00027712746,0.9571632,0.00031956282,0.016031643,0.008852576,0.000466872],"about_ca_topic_score_codex":0.010417074,"about_ca_topic_score_gemma":0.00017150858,"teacher_disagreement_score":0.45444652,"about_ca_system_score_codex":0.00021563547,"about_ca_system_score_gemma":0.000013328,"threshold_uncertainty_score":0.99617267},"labels":[],"label_agreement":null},{"id":"W1973174404","doi":"10.1108/14630010910985904","title":"Vertical phasing as a corporate real estate strategy and development option","year":2009,"lang":"en","type":"article","venue":"Journal of Corporate Real Estate","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporate Real Estate; Real estate; Originality; Corporation; Real estate development; Value (mathematics); Business; Service (business); Building design; Finance; Marketing; Engineering; Computer science; Architectural engineering; Sociology","score_opus":0.08117732955469678,"score_gpt":0.258609417907552,"score_spread":0.1774320883528552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973174404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826403,0.00048496504,0.000491187,0.00032506543,0.00017414837,0.00010539693,0.000011098992,0.000021308455,0.015746476],"genre_scores_gemma":[0.89631563,0.10076021,0.0022274163,0.00007928055,0.000116040486,0.0000015410662,0.000022964334,0.000023211887,0.00045370066],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99776936,0.000041742824,0.0013927314,0.00029575534,0.00013588545,0.00036453016],"domain_scores_gemma":[0.9973804,0.000035573506,0.0019241475,0.0001548384,0.00016469928,0.00034038702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084152294,0.00025762193,0.0006732999,0.00043729122,0.00015218409,0.00023764682,0.00015556722,0.00010786644,0.000045864625],"category_scores_gemma":[0.000029287903,0.00024105456,0.00014315084,0.00033600858,0.00010981235,0.0006662852,0.000027524318,0.0002809988,0.00011218139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020920874,0.0013884541,0.034817513,0.00012334858,0.0011063573,0.0027138274,0.0065868227,0.0057116076,0.005227798,0.35430792,0.000744141,0.5851801],"study_design_scores_gemma":[0.010170628,0.0063993437,0.3649076,0.00031851852,0.0004252852,0.0014157938,0.0020118954,0.038201712,0.005009925,0.5458284,0.022578938,0.002731946],"about_ca_topic_score_codex":0.00028820234,"about_ca_topic_score_gemma":0.00005333515,"teacher_disagreement_score":0.5824482,"about_ca_system_score_codex":0.00017775207,"about_ca_system_score_gemma":0.00019484894,"threshold_uncertainty_score":0.982992},"labels":[],"label_agreement":null},{"id":"W1974233560","doi":"10.1016/j.ijindorg.2003.09.004","title":"Preemption and rent dissipation under price competition","year":2004,"lang":"en","type":"article","venue":"International Journal of Industrial Organization","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"Institut National de la Recherche Agronomique; California Institute of Technology","keywords":"Economics; Preemption; Duopoly; Volatility (finance); Microeconomics; Economic rent; Investment (military); Competition (biology); Monetary economics; Econometrics; Cournot competition","score_opus":0.034670923443314815,"score_gpt":0.22925623786713353,"score_spread":0.1945853144238187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974233560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96803755,0.000545056,0.025662648,0.0041388078,0.0012505928,0.000074783144,0.000018113964,0.000011425541,0.0002610516],"genre_scores_gemma":[0.9979196,0.0008415552,0.00031351316,0.00011805978,0.00067310303,5.2096885e-7,0.00006431048,0.000010215874,0.000059123115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999171,0.000011259829,0.00054459146,0.00010572616,0.00010485877,0.00006254334],"domain_scores_gemma":[0.9989053,0.000015503985,0.0006912824,0.000050268525,0.00028749817,0.000050137878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023408518,0.00007099935,0.00014711,0.0003094577,0.000047256406,0.00011270575,0.00011476168,0.000086447966,0.00023649177],"category_scores_gemma":[0.00020715673,0.000071979564,0.0000459025,0.00023334086,0.000026590451,0.0005235278,0.000025199726,0.00011057275,0.000036396545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047316025,0.00020023496,0.049299516,0.0000026808666,0.00022441294,0.000007658655,0.0006537827,0.0043824133,0.00086194166,0.9434443,0.00026308704,0.00061261427],"study_design_scores_gemma":[0.01833724,0.0010243731,0.34067777,0.0005317639,0.00023350884,0.00051861565,0.0013283284,0.0014877311,0.017843427,0.6087951,0.008081985,0.0011401861],"about_ca_topic_score_codex":0.000055378347,"about_ca_topic_score_gemma":0.000005438118,"teacher_disagreement_score":0.33464926,"about_ca_system_score_codex":0.00027231657,"about_ca_system_score_gemma":0.000033515043,"threshold_uncertainty_score":0.29352415},"labels":[],"label_agreement":null},{"id":"W1975368167","doi":"10.1506/a0h4-7xmd-dl60-37c5","title":"Reconciling Financial Information at Varied Levels of Aggregation*","year":2004,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Position (finance); Key (lock); Business; Accounting; Exploit; Database transaction; Accounting management; Accounting information system; Finance; Computer science; Database","score_opus":0.11709173461169856,"score_gpt":0.2975452819667176,"score_spread":0.18045354735501903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975368167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95056444,0.006270215,0.00050578127,0.00086978334,0.00022052076,0.0003009529,0.00015840358,0.0000364795,0.041073423],"genre_scores_gemma":[0.9981875,0.00018705282,0.0003664102,0.00011815079,0.00010549051,0.000016006643,0.00006699187,0.000010930953,0.0009414788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984299,0.000031290605,0.00085055805,0.00023500371,0.00016078277,0.00029247842],"domain_scores_gemma":[0.9988115,0.00013624571,0.00041829929,0.00029763472,0.00027526374,0.00006108478],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003287748,0.000108983266,0.00031620395,0.0006979269,0.00033510104,0.0001190495,0.00027062034,0.00012525555,0.00028566647],"category_scores_gemma":[0.0013371482,0.00012115354,0.00013243314,0.0007884618,0.00015587172,0.0015278353,0.00016057504,0.00024573584,0.0007930889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015478076,0.00012075764,0.072092526,0.00018369695,0.00009764836,0.0000060098487,0.004557347,0.00043195667,0.00050546945,0.9165781,0.0032820266,0.0019896696],"study_design_scores_gemma":[0.0060201585,0.0003763357,0.15476047,0.00042128182,0.000014631275,0.000009102869,0.0014552863,0.005362875,0.017520376,0.6716898,0.14118917,0.0011805296],"about_ca_topic_score_codex":0.0009958748,"about_ca_topic_score_gemma":0.00004860485,"teacher_disagreement_score":0.24488832,"about_ca_system_score_codex":0.00025186778,"about_ca_system_score_gemma":0.00020355878,"threshold_uncertainty_score":0.9999849},"labels":[],"label_agreement":null},{"id":"W1975485930","doi":"10.1111/j.1936-4490.2000.tb00216.x","title":"Bargains in the Corporate Convertible Bond Market","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Callable bond; Treasury; Convertible bond; Bond; Embedded option; Call option; Economics; Valuation of options; Business; Financial economics; Humanities; Welfare economics; Political science; Philosophy; Finance; Law","score_opus":0.13253178660229073,"score_gpt":0.279999912889957,"score_spread":0.14746812628766628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975485930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92279947,0.0021628826,0.000051062398,0.0023653198,0.00020049795,0.00014616497,0.00008533242,0.0000032375738,0.07218603],"genre_scores_gemma":[0.9964974,0.0002540328,0.0012829918,0.0005957796,0.00010753499,0.0000062290483,0.0000044196513,0.0000062645554,0.0012453832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978267,0.00010991183,0.0008663053,0.00037659117,0.00009078968,0.00072970154],"domain_scores_gemma":[0.9983103,0.00013613063,0.00067451043,0.00017326744,0.00009066625,0.00061510765],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004212393,0.00018663854,0.0003437431,0.0006751418,0.0010224275,0.00060853513,0.0009823728,0.00008330191,0.0018002416],"category_scores_gemma":[0.0003143832,0.00015726888,0.00014919307,0.0020232722,0.0034000697,0.00095476327,0.000005556436,0.00023918788,0.00003784189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041138326,0.00009493133,0.14936009,0.000029609608,0.000041815667,0.00078583614,0.022966571,0.00068568485,0.000041762345,0.82170105,0.0033839948,0.00086752593],"study_design_scores_gemma":[0.000880474,0.006545748,0.21393892,0.00021385554,0.000055663582,0.0023034913,0.029427147,0.016559219,0.000354922,0.70654285,0.022175217,0.001002479],"about_ca_topic_score_codex":0.013919534,"about_ca_topic_score_gemma":0.50046724,"teacher_disagreement_score":0.4865477,"about_ca_system_score_codex":0.0004840477,"about_ca_system_score_gemma":0.0024108738,"threshold_uncertainty_score":0.9993121},"labels":[],"label_agreement":null},{"id":"W1975965350","doi":"10.1007/s10957-013-0433-2","title":"Research and Development with Stock-Dependent Spillovers and Price Competition in a Duopoly","year":2013,"lang":"en","type":"article","venue":"Journal of Optimization Theory and Applications","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Microeconomics; Economics; Stock (firearms); Duopoly; Observability; Industrial organization; Nash equilibrium; Converse; Cournot competition; Mathematics","score_opus":0.025649659467147565,"score_gpt":0.2486700278748607,"score_spread":0.22302036840771314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975965350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7166848,0.008622771,0.2699477,0.00094840484,0.000018286366,0.0005872582,0.000007437867,0.0000070440483,0.0031762572],"genre_scores_gemma":[0.9874702,0.0039692395,0.0079912,0.000056985537,0.00002467139,0.000045085417,0.0000051902157,0.000006570311,0.00043083783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99947506,0.000022131137,0.00027919895,0.0001074502,0.00003894664,0.00007718514],"domain_scores_gemma":[0.9995465,0.000073298914,0.00018415997,0.000053785483,0.00008156457,0.000060659215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069222925,0.00004992952,0.00012509839,0.00029007913,0.00011922907,0.000080286445,0.000040569957,0.000028966853,0.000103588856],"category_scores_gemma":[0.000012304279,0.00004294246,0.0000084099465,0.0001846008,0.00009498241,0.00024464555,0.000021076323,0.00009414582,0.0000061052883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034565644,0.000119771765,0.009785599,0.00001708599,0.000043183638,6.963469e-7,0.00072214013,0.0051697674,0.00001720422,0.9827768,0.000024652207,0.0012885239],"study_design_scores_gemma":[0.0057900837,0.0009511291,0.16557208,0.00020910431,0.0000617799,0.0001924557,0.012433411,0.034140915,0.0005405139,0.7633944,0.015778843,0.0009352435],"about_ca_topic_score_codex":0.000015474561,"about_ca_topic_score_gemma":0.000006083981,"teacher_disagreement_score":0.27078536,"about_ca_system_score_codex":0.000032381166,"about_ca_system_score_gemma":0.000014739028,"threshold_uncertainty_score":0.17511427},"labels":[],"label_agreement":null},{"id":"W1976925927","doi":"10.2139/ssrn.423482","title":"R&amp;D Investments with Competitive Interactions","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Economics; Business","score_opus":0.019691676801045024,"score_gpt":0.2228098144072439,"score_spread":0.20311813760619887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976925927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7253645,0.06744715,0.012332349,0.0014239255,0.0007054779,0.00027701116,0.000033031447,0.00006441886,0.19235213],"genre_scores_gemma":[0.9660924,0.013741013,0.0005623651,0.00027364682,0.00008433263,0.000007677303,0.0000111721465,0.000022798864,0.019204587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99839693,0.000026182248,0.0003218541,0.00020327837,0.000044638295,0.0010071158],"domain_scores_gemma":[0.999441,0.000020051684,0.00026604586,0.00014721445,0.000036171976,0.000089494315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005646853,0.0001333069,0.00023239573,0.00024606602,0.00021322993,0.00008163765,0.00012181167,0.000033820004,0.00049341976],"category_scores_gemma":[0.000035941084,0.00011829895,0.00013204526,0.0002647451,0.00005486038,0.0002852229,0.000010444223,0.000792892,0.0007579046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009466356,0.000079570615,0.010760341,9.842524e-7,0.0003343007,0.0000013821655,0.00013494045,0.000020709791,0.000006968846,0.988461,0.00012652075,0.00006382301],"study_design_scores_gemma":[0.0005866111,0.00013111206,0.0009498392,0.000008379841,0.00003072922,0.0002117917,0.0010974816,0.00003809531,0.000031492844,0.91624624,0.080467425,0.00020078974],"about_ca_topic_score_codex":0.00009717706,"about_ca_topic_score_gemma":0.0015795504,"teacher_disagreement_score":0.2407279,"about_ca_system_score_codex":0.0006644813,"about_ca_system_score_gemma":0.00022725643,"threshold_uncertainty_score":0.97415835},"labels":[],"label_agreement":null},{"id":"W1977518186","doi":"10.1016/s0263-2373(00)00053-0","title":"Metachoice for strategic analysis","year":2000,"lang":"en","type":"article","venue":"European Management Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Discounted cash flow; Profitability index; Selection (genetic algorithm); Cash flow; Strategic Choice; Strategic planning; Business; Computer science; Microeconomics; Marketing; Economics; Industrial organization; Finance","score_opus":0.049108652067996486,"score_gpt":0.228745135840442,"score_spread":0.1796364837724455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977518186","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08743852,0.010976127,0.0040890314,0.0005152435,0.00021690562,0.0002067205,0.00004379007,0.000050205326,0.89646345],"genre_scores_gemma":[0.8643591,0.013609015,0.005576821,0.0008352079,0.0005100641,0.000008470495,0.000059000842,0.00005243213,0.11498989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874866,0.000041403044,0.0005941311,0.0002891398,0.000052445102,0.00027422042],"domain_scores_gemma":[0.999346,0.0000138842925,0.00024886636,0.0002554944,0.000019131026,0.000116576324],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010587327,0.00014175664,0.00031551573,0.00059871975,0.0002438546,0.0003528549,0.0003291695,0.000016582613,0.0057147825],"category_scores_gemma":[0.0000044305766,0.0001388078,0.0006123801,0.0006450617,0.000025483343,0.00019554848,0.000027646123,0.00011226221,0.0022143973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003348685,0.00017272185,0.0031902373,0.000020665837,0.007153619,0.00009109358,0.0001698629,0.0054274816,0.0000024211483,0.9704941,0.008348389,0.0048959246],"study_design_scores_gemma":[0.0020876548,0.00018401096,0.033617817,0.000012446433,0.002917344,0.000015008136,0.00036043272,0.022427294,0.000003475775,0.4023026,0.53527635,0.0007955802],"about_ca_topic_score_codex":0.00000840662,"about_ca_topic_score_gemma":0.000004469787,"teacher_disagreement_score":0.7814736,"about_ca_system_score_codex":0.00004154936,"about_ca_system_score_gemma":0.0000018740158,"threshold_uncertainty_score":0.9985625},"labels":[],"label_agreement":null},{"id":"W1977800280","doi":"10.15173/esr.v10i2.431","title":"Estimates of Learning by Doing in the Manufacture of Electric Power Gas Turbines","year":2002,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Offset (computer science); Economics; Production (economics); Range (aeronautics); Econometrics; Environmental science; Unit (ring theory); Microeconomics; Mathematics; Computer science; Materials science","score_opus":0.028505694311087095,"score_gpt":0.23804009073520155,"score_spread":0.20953439642411445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977800280","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016353298,0.9778118,0.000014328246,0.0007729867,0.00003185346,0.000051388055,0.0000034980692,0.0000046942323,0.00495615],"genre_scores_gemma":[0.3923809,0.6069781,0.000047364054,0.00020654668,0.0000074297027,0.000009863639,0.0000029681116,0.0000045442866,0.0003622847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991365,0.000025741869,0.00052007224,0.00015122289,0.000037115988,0.00012931103],"domain_scores_gemma":[0.99935514,0.000110696295,0.00035677623,0.00014556912,0.000021010503,0.000010835882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026946524,0.000109937086,0.00062048173,0.00010530464,0.00004416837,0.0000058375963,0.00013745634,0.00002575446,0.00025005703],"category_scores_gemma":[0.00012061378,0.000074289725,0.00015888683,0.00044365026,0.00004210735,0.00005199407,0.000030985673,0.000076729564,0.0000136264025],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014869459,0.0010000769,0.04156072,0.0068777017,0.0034075016,0.00002306516,0.010567387,0.0016967789,0.0002132366,0.6292556,0.22777979,0.0776033],"study_design_scores_gemma":[0.00044250203,0.00025380452,0.001422432,0.0012612347,0.00021870817,0.0000054606853,0.00078982,0.002102294,0.0010825443,0.013568076,0.9783352,0.00051794405],"about_ca_topic_score_codex":0.00010547391,"about_ca_topic_score_gemma":0.000014728069,"teacher_disagreement_score":0.7505554,"about_ca_system_score_codex":0.000017890166,"about_ca_system_score_gemma":0.0000010690222,"threshold_uncertainty_score":0.30294472},"labels":[],"label_agreement":null},{"id":"W1978628780","doi":"10.1287/isre.1110.0397","title":"<b>Research Note</b>—Using Real Options to Investigate the Market Value of Virtual World Businesses","year":2012,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Value proposition; Revenue; Metaverse; Exploit; Business; Marketing; Industrial organization; Virtual economy; Key (lock); Value (mathematics); Business model; Knowledge management; Economics; Computer science; Finance; Virtual reality","score_opus":0.18469387182267136,"score_gpt":0.3758588340676717,"score_spread":0.19116496224500032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978628780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83579475,0.0072570574,0.0023839471,0.0019686753,0.0012543446,0.0019037095,0.00032782616,0.00006218144,0.1490475],"genre_scores_gemma":[0.994591,0.00075291516,0.0002500204,0.000045706103,0.0002938767,0.00010217252,0.000024177667,0.000013794868,0.003926342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99743205,0.00035027723,0.0009793466,0.00014347272,0.00045834878,0.0006364877],"domain_scores_gemma":[0.99779594,0.00057344773,0.00024178061,0.00050386204,0.00065975613,0.00022519719],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013538016,0.0001126283,0.00030258877,0.0024606853,0.00052904966,0.0003648255,0.00044972447,0.00008736358,0.00018540396],"category_scores_gemma":[0.00070370367,0.000091416994,0.00008921098,0.0037802712,0.00028804404,0.0016971241,0.00027030765,0.00037482608,0.0017577651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027440305,0.000044756805,0.0067258948,0.00009302959,0.000048150458,2.1216552e-7,0.0038330327,0.0043042516,0.00010003133,0.9726873,0.011934511,0.00020137565],"study_design_scores_gemma":[0.00096614874,0.00023675982,0.099618845,0.0003693714,0.000027835165,0.000017101524,0.018546166,0.23918708,0.0011989487,0.009718522,0.6293019,0.0008113451],"about_ca_topic_score_codex":0.0087111555,"about_ca_topic_score_gemma":0.00007765004,"teacher_disagreement_score":0.96296877,"about_ca_system_score_codex":0.0003015027,"about_ca_system_score_gemma":0.0001052742,"threshold_uncertainty_score":0.9990195},"labels":[],"label_agreement":null},{"id":"W1979140064","doi":"10.1111/j.1745-6622.2006.00086.x","title":"How Kimberly‐Clark Uses Real Options","year":2006,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Discounted cash flow; Cash flow; Senior management; Process (computing); Rigour; Business; Economics; Finance; Actuarial science; Marketing; Computer science; Management","score_opus":0.03402675225416394,"score_gpt":0.189596482076828,"score_spread":0.15556972982266407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979140064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95983714,0.013446659,0.0012972705,0.0011991727,0.00046441721,0.00013449891,0.00007137325,0.000024348245,0.023525136],"genre_scores_gemma":[0.9788266,0.009995863,0.0048823147,0.00008346042,0.00046416398,0.0000075232474,0.000015070228,0.000024157649,0.0057008592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986676,0.0000064897026,0.00078023906,0.0002254958,0.00007785366,0.00024230432],"domain_scores_gemma":[0.9972489,0.000024526022,0.0023414115,0.00023609302,0.00009108943,0.00005800312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003246127,0.0001739308,0.00053475425,0.00030911638,0.00011855299,0.00017830491,0.00025051113,0.000100666635,0.000051988834],"category_scores_gemma":[0.000009373033,0.00017066702,0.00025333176,0.00049014227,0.000095571726,0.00034048,0.00002849444,0.00021637416,0.00014431962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037726386,0.000117229734,0.004570616,0.000007158719,0.000050153718,0.00002487775,0.000041937605,0.0012355619,0.00041946085,0.9855969,0.007731945,0.00016644802],"study_design_scores_gemma":[0.00095230644,0.0001422006,0.037001826,0.000020069367,0.000052417574,0.000026173908,0.000084615225,0.0009977276,0.0012297147,0.884804,0.07427655,0.00041240998],"about_ca_topic_score_codex":0.00010976801,"about_ca_topic_score_gemma":0.000050406263,"teacher_disagreement_score":0.1007929,"about_ca_system_score_codex":0.00009205271,"about_ca_system_score_gemma":0.00003610617,"threshold_uncertainty_score":0.6959599},"labels":[],"label_agreement":null},{"id":"W1983047083","doi":"10.2118/84236-ms","title":"Effects of Input Price Uncertainty on Asset Valuation","year":2003,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Discounted cash flow; Cash flow; Economics; Econometrics; Valuation (finance); Microeconomics; Unit price; Asset (computer security); Computer science; Finance","score_opus":0.02930658175727613,"score_gpt":0.2472506750122542,"score_spread":0.21794409325497807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983047083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620208,0.0018665697,0.006365456,0.00059152616,0.00012847292,0.00042647053,0.000106196676,0.000066880006,0.028427633],"genre_scores_gemma":[0.9978451,0.0013572131,0.00031262168,0.00017485948,0.000025403635,0.000017260332,0.00003676452,0.0000066392263,0.00022412614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99915063,0.000029512272,0.0003392375,0.00027415899,0.000059604175,0.00014686325],"domain_scores_gemma":[0.9994712,0.000084808584,0.0001799926,0.0001414913,0.000063487474,0.000059055244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035229337,0.00011151142,0.00026711464,0.00015725607,0.000057368525,0.000028814466,0.00006140334,0.00011915983,0.00012210589],"category_scores_gemma":[0.00023739347,0.00010789209,0.00008225883,0.00021433311,0.00008297013,0.00017531449,0.00001910254,0.000117002586,0.00008620439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014448621,0.00011888944,0.0006642738,0.000033424898,0.000015555997,0.0000012330946,0.00010056923,0.00001921245,0.0014358255,0.9965571,0.0005922078,0.00044726822],"study_design_scores_gemma":[0.0009556855,0.00083263696,0.028290477,0.00009968865,0.000045132736,0.000003465806,0.00016330881,0.0010838952,0.016325502,0.9468406,0.0049739787,0.00038566743],"about_ca_topic_score_codex":0.00006693245,"about_ca_topic_score_gemma":0.0000145695985,"teacher_disagreement_score":0.04971653,"about_ca_system_score_codex":0.000037269438,"about_ca_system_score_gemma":0.000013385694,"threshold_uncertainty_score":0.43997118},"labels":[],"label_agreement":null},{"id":"W1984820664","doi":"10.1016/s0148-6195(00)00027-8","title":"Asymmetries in risk and in risk attitude: the duopoly case","year":2000,"lang":"en","type":"article","venue":"Journal of Economics and Business","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Duopoly; Certainty; Microeconomics; Economics; Benchmark (surveying); Risk aversion (psychology); Simple (philosophy); Expected utility hypothesis; Financial economics; Cournot competition; Mathematics","score_opus":0.015136220666681561,"score_gpt":0.19590434577508706,"score_spread":0.1807681251084055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984820664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96823823,0.030351706,0.000008374869,0.00067241665,0.00011719105,0.000057820467,0.000048173242,0.0000012398275,0.0005048419],"genre_scores_gemma":[0.8228473,0.17669795,0.0001095697,0.00008429573,0.00008808545,0.0000012215432,7.6661144e-7,0.000007996177,0.00016278855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988913,0.00002108413,0.00075716205,0.00016563274,0.000012254826,0.00015256242],"domain_scores_gemma":[0.99914485,0.0001012992,0.0005515203,0.00012217763,0.000025139247,0.000055004686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092303025,0.0001180323,0.00042801723,0.00042338803,0.000120709105,0.00019924302,0.00010213983,0.00006749955,0.00012041165],"category_scores_gemma":[0.00006893227,0.00009305582,0.00007421932,0.00032229966,0.00012888182,0.00045132017,0.000030518884,0.0002203885,0.000011812999],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001346401,0.00015285693,0.9235632,0.00001976028,0.00013820626,0.00022287996,0.0009331598,0.0055087595,4.521671e-7,0.045966472,0.00011448271,0.023245163],"study_design_scores_gemma":[0.002181404,0.00007452213,0.8456275,0.000029616005,0.00005683069,0.000737626,0.00047748096,0.016918674,0.0000056818076,0.09542474,0.038134772,0.00033115366],"about_ca_topic_score_codex":0.0033121454,"about_ca_topic_score_gemma":0.004639645,"teacher_disagreement_score":0.14634624,"about_ca_system_score_codex":0.000050174465,"about_ca_system_score_gemma":0.000021934844,"threshold_uncertainty_score":0.5006995},"labels":[],"label_agreement":null},{"id":"W1985867192","doi":"10.1080/00137910008967557","title":"CALCULATING THE EXPECTATION AND VARIANCE OF THE PRESENT VALUE FOR A RANDOM PROFIT STREAM OF UNCERTAIN DURATION","year":2000,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cash flow; Duration (music); Mathematics; Poisson distribution; Econometrics; Variance (accounting); Economics; Terminal value; Investment (military); Expected value; Statistics; Operating cash flow; Finance; Physics","score_opus":0.014241753330765675,"score_gpt":0.19691901408312548,"score_spread":0.1826772607523598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985867192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949453,0.002170877,0.0010548232,0.0008441246,0.00007205298,0.0004004123,0.000039072267,0.000007365167,0.00046601405],"genre_scores_gemma":[0.998982,0.00016672585,0.00020748473,0.000016760288,0.0000620672,0.000055471653,0.000004609102,0.0000082832585,0.0004965865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943465,0.000009176712,0.00035138807,0.00010799513,0.000014983696,0.00008177882],"domain_scores_gemma":[0.99943954,0.0001507487,0.00019495166,0.0001931401,0.000009980954,0.000011638209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003130218,0.000068377514,0.00016878857,0.000025440648,0.00008050813,0.000023454146,0.00011856653,0.00002619084,0.00003736883],"category_scores_gemma":[0.00004890019,0.00004243894,0.00009477721,0.00007493923,0.000043500786,0.00006889022,0.000013581214,0.000042660708,0.0000018357201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060306833,0.000024176692,0.0037926242,0.00010483484,0.00022429023,5.752047e-8,0.0032630204,0.5915289,0.00026594367,0.39912096,0.00011971063,0.0014951858],"study_design_scores_gemma":[0.00067088293,0.000019916628,0.015379562,0.000018179193,0.000031124764,8.044937e-7,0.00012726827,0.97591126,0.0013163431,0.0050900937,0.0013478613,0.000086687774],"about_ca_topic_score_codex":0.0002955111,"about_ca_topic_score_gemma":0.000014088249,"teacher_disagreement_score":0.39403087,"about_ca_system_score_codex":0.000024689547,"about_ca_system_score_gemma":0.000006352033,"threshold_uncertainty_score":0.17306097},"labels":[],"label_agreement":null},{"id":"W1987668663","doi":"10.1002/pamm.200701097","title":"Endangered species, real options, and forest management","year":2007,"lang":"en","type":"article","venue":"PAMM","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Endangered species; Logging; Extinction (optical mineralogy); Habitat; Forest management; Geography; Social planner; Ecology; Forestry; Economics; Biology","score_opus":0.027337909867222423,"score_gpt":0.2140577777264416,"score_spread":0.18671986785921918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987668663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7456236,0.026256368,0.00087587384,0.00048338372,0.00027714547,0.00018227911,0.000053241318,0.000052264088,0.22619583],"genre_scores_gemma":[0.93924636,0.033093877,0.0016805596,0.00012419421,0.00013673249,0.000006609155,0.00003993253,0.000011369547,0.025660347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99939686,0.0000021263993,0.000231584,0.00018431467,0.000020859161,0.00016425882],"domain_scores_gemma":[0.9997017,0.0000133958665,0.00007514203,0.00014399484,0.000005708836,0.000060078128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027469153,0.00006897122,0.000134548,0.00017565332,0.00007198416,0.000043210268,0.00006144225,0.00003216161,0.00025354762],"category_scores_gemma":[0.0000047120952,0.00007325799,0.00005578861,0.00013360934,0.000038448903,0.00007156565,0.00004171133,0.000038125203,0.00029817878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044282297,0.000026013828,0.06647874,0.0000083344885,0.000050400624,0.00000882193,0.00018553251,0.0000030848626,0.000005076887,0.9307158,0.0014554363,0.0010583533],"study_design_scores_gemma":[0.00034490039,0.0000255692,0.72042847,0.0000044373414,0.000020415871,0.000001905541,0.0002556828,0.0007095784,0.0000323862,0.08630882,0.19168018,0.00018764148],"about_ca_topic_score_codex":0.00026274464,"about_ca_topic_score_gemma":0.0004034652,"teacher_disagreement_score":0.84440696,"about_ca_system_score_codex":0.000044936824,"about_ca_system_score_gemma":0.0000011008311,"threshold_uncertainty_score":0.38325846},"labels":[],"label_agreement":null},{"id":"W1988667042","doi":"10.1111/j.0275-1100.2004.02402003.x","title":"Use of Capital Budgeting Techniques and an Analytic Approach to Capital Investment Decisions in Canadian Municipal Governments","year":2004,"lang":"en","type":"article","venue":"Public Budgeting &amp Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Capital budgeting; Discounted cash flow; Capital (architecture); Payback period; Business; Financial capital; Cash flow; Finance; Economic capital; Investment (military); Analytic hierarchy process; Economics; Accounting; Public economics; Microeconomics; Human capital; Project appraisal; Political science; Economic growth","score_opus":0.06339233012476202,"score_gpt":0.25287466281047505,"score_spread":0.18948233268571302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988667042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915948,0.0028068456,0.00013673467,0.00061317283,0.000076050266,0.0003793053,0.00018180831,0.000035938647,0.004175335],"genre_scores_gemma":[0.9766403,0.0011528536,0.021205094,0.00041110793,0.000054363965,0.00007279863,0.0000810465,0.000037960803,0.00034448074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973801,0.000034372068,0.0009223867,0.0007596932,0.00013361782,0.00076987303],"domain_scores_gemma":[0.99846476,0.000069515925,0.00037974137,0.00058678474,0.00005993632,0.00043927],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009820209,0.00028832752,0.0006002814,0.0009635586,0.00019476133,0.00022826622,0.00038917927,0.00016234622,0.000013811666],"category_scores_gemma":[0.0006400965,0.00032866228,0.00012385435,0.0009884667,0.00014340034,0.0007957356,0.00017874714,0.00024390942,0.00003494296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016082648,0.00059812877,0.18262437,0.00003010748,0.00008955783,0.000016023254,0.008760777,0.0015677589,0.000066585584,0.8042543,0.00018152795,0.0017948119],"study_design_scores_gemma":[0.004819733,0.0011878236,0.54218554,0.000709064,0.0001480223,0.000102344704,0.006217037,0.02687017,0.0013462213,0.13834178,0.2726985,0.0053737606],"about_ca_topic_score_codex":0.29285774,"about_ca_topic_score_gemma":0.16779633,"teacher_disagreement_score":0.6659125,"about_ca_system_score_codex":0.0007797743,"about_ca_system_score_gemma":0.00012772717,"threshold_uncertainty_score":0.99991655},"labels":[],"label_agreement":null},{"id":"W1988672732","doi":"10.1016/j.jairtraman.2015.03.010","title":"Real option analysis of aircraft acquisition: A case study","year":2015,"lang":"en","type":"article","venue":"Journal of Air Transport Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Shutdown; Rule of thumb; Revenue; Business; Portfolio; Investment (military); Option value; Finance; Net present value; Economics; Microeconomics; Computer science; Engineering; Production (economics)","score_opus":0.03835548281012094,"score_gpt":0.25385199885642856,"score_spread":0.21549651604630762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988672732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926654,0.001028666,0.0030243718,0.00018343341,0.00017311424,0.00015714671,0.000024052682,0.000007881202,0.00273593],"genre_scores_gemma":[0.99729556,0.0009780375,0.0011055877,0.000043256852,0.000061540195,0.000003942466,0.000014023658,0.000009195579,0.00048883876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833286,0.000016745096,0.0011983352,0.00017919466,0.0001430193,0.00012982797],"domain_scores_gemma":[0.9986803,0.000008149202,0.0008278335,0.00024119957,0.00011619698,0.00012630419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010282064,0.000120363395,0.0006522037,0.0013710982,0.000037959082,0.000014136617,0.00015656698,0.000038002232,0.00014227087],"category_scores_gemma":[0.0000020467978,0.0001155755,0.00053588446,0.0010600088,0.000029920971,0.00027319242,0.000015110155,0.00008066885,0.000014751245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030596132,0.0036041583,0.78556925,0.000094523784,0.02442341,0.011259708,0.010422529,0.065311536,0.0000045946326,0.09745444,0.0009215431,0.00062835],"study_design_scores_gemma":[0.005718141,0.0022303213,0.91934556,0.000043800566,0.01448203,0.00022585131,0.03265481,0.010173402,0.00002253583,0.010446335,0.004023097,0.0006341138],"about_ca_topic_score_codex":0.0006998444,"about_ca_topic_score_gemma":0.00024340789,"teacher_disagreement_score":0.13377632,"about_ca_system_score_codex":0.00011044457,"about_ca_system_score_gemma":0.00001128288,"threshold_uncertainty_score":0.4713032},"labels":[],"label_agreement":null},{"id":"W1989005515","doi":"10.4236/ti.2012.32011","title":"Investment Timing with Incentive-Disincentive Contracts under Asymmetric Information","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Telecommunications Advancement Foundation","keywords":"Incentive; Information asymmetry; Investment (military); Microeconomics; Set (abstract data type); Economics; Business; Computer science","score_opus":0.019767014548486395,"score_gpt":0.207599319415118,"score_spread":0.1878323048666316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989005515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9272958,0.030656409,0.0016043377,0.0017373605,0.00024241609,0.00052528695,0.000038513488,0.00018697431,0.037712928],"genre_scores_gemma":[0.99282146,0.00084315956,0.0019660734,0.003893349,0.00003500938,0.00006814439,0.00004582264,0.000013371723,0.00031361755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998762,0.000013257269,0.00045809598,0.00024406995,0.00006377549,0.00045876004],"domain_scores_gemma":[0.9991497,0.000025876183,0.00036373932,0.00026752593,0.000037484442,0.00015568439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028289462,0.00022147063,0.00036326703,0.0012474633,0.00020429709,0.000059993046,0.00013147839,0.00019750532,0.00007604115],"category_scores_gemma":[0.000039200888,0.00019548878,0.00005544801,0.0009888056,0.00033336572,0.0011560409,0.00010649742,0.00020207958,0.0004130848],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013418574,0.0001392297,0.03709117,0.000009872278,0.00017187992,9.4782376e-7,0.00038383796,0.000010270476,0.0000114847435,0.9611865,0.00040326483,0.0005780772],"study_design_scores_gemma":[0.0032366093,0.00075398415,0.17241186,0.00007591982,0.00020067803,0.00003588122,0.0027979945,0.0013548784,0.0033251012,0.67371243,0.14092252,0.0011721435],"about_ca_topic_score_codex":0.0000726447,"about_ca_topic_score_gemma":0.000007229513,"teacher_disagreement_score":0.2874741,"about_ca_system_score_codex":0.00019792248,"about_ca_system_score_gemma":0.000014118127,"threshold_uncertainty_score":0.7971801},"labels":[],"label_agreement":null},{"id":"W1989705350","doi":"10.1111/0008-4085.00022","title":"On estimating the option value of preserving a wilderness area","year":2000,"lang":"fr","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"ESPACE; Wilderness area; Economics; Welfare economics; Wilderness; Economic rent; Forestry; Geography; Humanities; Mathematics; Philosophy; Microeconomics","score_opus":0.10856235374353734,"score_gpt":0.1833443728834115,"score_spread":0.07478201913987415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989705350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642384,0.018985722,0.00013569571,0.009006756,0.0035474633,0.000309836,0.0006411815,0.0000038253193,0.0031310907],"genre_scores_gemma":[0.9833443,0.0036845778,0.0012232772,0.00063647685,0.0010723922,0.000013155774,0.0000252452,0.00008019139,0.009920347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962199,0.000097380616,0.0022147535,0.0005077591,0.00000427847,0.00095595384],"domain_scores_gemma":[0.99560946,0.00035818954,0.0020457993,0.0007324052,0.00014309378,0.0011110648],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015143482,0.00043159316,0.0012301848,0.00094514794,0.0003924822,0.00027362735,0.0010558576,0.0003479089,0.004356705],"category_scores_gemma":[0.0003237683,0.00049552915,0.00076961046,0.00032950158,0.00047238645,0.00076613104,0.000027384216,0.0006405038,0.00013155698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000439666,0.00003295865,0.0017302872,0.000069834925,0.0003958358,0.00004197748,0.0016842129,0.27475598,7.809459e-7,0.7142453,0.0011592723,0.005839571],"study_design_scores_gemma":[0.0007041482,0.0004756946,0.0014881282,0.0005635893,0.00016262397,0.00021276559,0.00038667503,0.36889598,0.00003122261,0.60155517,0.024997829,0.000526216],"about_ca_topic_score_codex":0.2810086,"about_ca_topic_score_gemma":0.8251873,"teacher_disagreement_score":0.54417866,"about_ca_system_score_codex":0.002168989,"about_ca_system_score_gemma":0.00095124036,"threshold_uncertainty_score":0.99974966},"labels":[],"label_agreement":null},{"id":"W1990568667","doi":"10.1016/j.ins.2014.10.049","title":"Facilitating risky project negotiation: An integrated approach using fuzzy real options, multicriteria analysis, and conflict analysis","year":2014,"lang":"en","type":"article","venue":"Information Sciences","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Ministry of Environment; National Natural Science Foundation of China","keywords":"Fuzzy logic; Negotiation; Computer science; Operations research; Flexibility (engineering); Conflict analysis; Brownfield; Risk analysis (engineering); Management science; Conflict resolution; Redevelopment; Artificial intelligence; Mathematics; Business; Economics; Engineering; Civil engineering","score_opus":0.0770332381768909,"score_gpt":0.30246933398805637,"score_spread":0.22543609581116547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990568667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8423871,0.00040501074,0.15251513,0.000041233172,0.000059308717,0.00016047787,0.00013167365,0.000049813123,0.0042502405],"genre_scores_gemma":[0.95866007,0.0003943975,0.040390458,0.000087900975,0.000024906232,0.000011463681,0.00037616727,0.0000025552686,0.000052097625],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985853,0.000070841525,0.0007664799,0.00027962346,0.000105010025,0.00019277607],"domain_scores_gemma":[0.9990233,0.0000780539,0.0005309842,0.00019971182,0.00009646137,0.000071477814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020424924,0.00013276262,0.00039522842,0.002122682,0.0004530843,0.00071593275,0.00018419567,0.000065184664,0.000051806368],"category_scores_gemma":[0.00018455823,0.00011945192,0.00016395644,0.00429869,0.00020634294,0.002876145,0.000036003123,0.00006890024,0.000024963449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001898051,0.00012303915,0.43884772,0.000053617896,0.0021746818,1.7031765e-7,0.035039164,0.16034217,0.00006291417,0.35714215,0.00007677754,0.0061186007],"study_design_scores_gemma":[0.00013672118,0.000034559576,0.03853216,0.0000015565262,0.00029729816,5.408224e-7,0.0045137163,0.9546063,0.000007732335,0.0011698109,0.0005308578,0.0001687609],"about_ca_topic_score_codex":0.0072475034,"about_ca_topic_score_gemma":0.00022199008,"teacher_disagreement_score":0.79426414,"about_ca_system_score_codex":0.00004833215,"about_ca_system_score_gemma":0.000023769066,"threshold_uncertainty_score":0.9993633},"labels":[],"label_agreement":null},{"id":"W1990844214","doi":"10.1080/00137910208965035","title":"Real Options and Follower Strategies: The loss of real option value to first-mover advantage","year":2002,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"First-mover advantage; Value (mathematics); Context (archaeology); Economics; Microeconomics; Option value; Business; Industrial organization; Computer science; Incentive","score_opus":0.014467809372103109,"score_gpt":0.19646365560048787,"score_spread":0.18199584622838477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990844214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847474,0.0030988755,0.0005789136,0.001297487,0.0002479411,0.00019674827,0.00008082637,0.000036729798,0.0097150775],"genre_scores_gemma":[0.9895728,0.00814345,0.00026449302,0.000041807718,0.00010687166,0.000023447305,0.000005224193,0.00001785236,0.0018240248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930704,0.000004470077,0.0003229886,0.00018610718,0.000018429811,0.00016094757],"domain_scores_gemma":[0.99945176,0.00006840306,0.00010514372,0.00031423257,0.000007793118,0.000052670443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021901343,0.00011714376,0.00021810202,0.00008889317,0.00011610011,0.000079456564,0.0001769048,0.00004259986,0.00018850468],"category_scores_gemma":[0.000014558135,0.00009154298,0.000104721265,0.00011489051,0.000051329487,0.00017345382,0.00004710987,0.00008093882,0.00012410794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004357626,0.00002103025,0.0006694144,0.000014161145,0.000081040314,7.531815e-7,0.0008634266,0.071043596,0.000026449512,0.92688096,0.00036502787,0.000029776536],"study_design_scores_gemma":[0.0010798739,0.00018753376,0.056192763,0.000045684956,0.00011436636,0.000013298568,0.0012349542,0.85926914,0.00013661478,0.03168164,0.0492198,0.00082433247],"about_ca_topic_score_codex":0.0006408246,"about_ca_topic_score_gemma":0.00008002493,"teacher_disagreement_score":0.8951993,"about_ca_system_score_codex":0.000060046063,"about_ca_system_score_gemma":0.0000032402943,"threshold_uncertainty_score":0.37330145},"labels":[],"label_agreement":null},{"id":"W1991090919","doi":"10.1016/j.resourpol.2007.06.003","title":"Evaluating mine plans under uncertainty: Can the real options make a difference?","year":2007,"lang":"en","type":"article","venue":"Resources Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Net present value; Discounted cash flow; Profitability index; Cash flow; Remotely operated underwater vehicle; Valuation (finance); Computer science; Maximization; Robustness (evolution); Flexibility (engineering); Process (computing); Present value; Operations research; Risk analysis (engineering); Production (economics); Engineering; Business; Economics; Finance; Artificial intelligence","score_opus":0.07734612095812413,"score_gpt":0.3179400925044801,"score_spread":0.24059397154635595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991090919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737634,0.0028791835,0.000068368616,0.005035637,0.00006201839,0.00012626762,0.00014795372,0.00003827628,0.017878907],"genre_scores_gemma":[0.98538095,0.00133259,0.00012730417,0.0009621214,0.0006429806,0.000012973177,0.00003898825,0.000018975257,0.011483117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987837,0.000023289655,0.00044954737,0.00027161252,0.00007317131,0.0003986713],"domain_scores_gemma":[0.9991346,0.00015355444,0.00022344937,0.000355372,0.000020854162,0.00011217398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007034148,0.00014580826,0.00025024696,0.00035853827,0.0003029847,0.00010219868,0.0002654901,0.000078383884,0.00013559911],"category_scores_gemma":[0.00009165923,0.00011234298,0.00016763997,0.0005335684,0.00013227653,0.000026340242,0.000070485614,0.00014544844,0.00012274974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014936733,0.000054653054,0.018721405,0.0000067762335,0.00012671729,0.0000024084316,0.0044118487,0.002759561,0.00007108199,0.97164613,0.00019733321,0.0019871253],"study_design_scores_gemma":[0.0011639325,0.00023860772,0.5965166,0.000031953863,0.00010542632,0.000013785548,0.00442408,0.042711504,0.000042792013,0.31702667,0.036980625,0.000744014],"about_ca_topic_score_codex":0.03014276,"about_ca_topic_score_gemma":0.01239208,"teacher_disagreement_score":0.65461946,"about_ca_system_score_codex":0.00017720411,"about_ca_system_score_gemma":0.00002804297,"threshold_uncertainty_score":0.9763156},"labels":[],"label_agreement":null},{"id":"W1993250486","doi":"10.1007/s10198-002-0099-4","title":"Reputation, public information, and physician adoption of an innovation","year":2002,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reputation; Business; Order (exchange); Scale (ratio); SIGNAL (programming language); Marketing; Actuarial science; Risk analysis (engineering); Knowledge management; Computer science; Finance","score_opus":0.059272394510417124,"score_gpt":0.22462447627886772,"score_spread":0.1653520817684506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993250486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98469096,0.0048124674,0.0013046173,0.005192662,0.0001837354,0.00008285138,0.000019640003,0.000005915454,0.003707143],"genre_scores_gemma":[0.9915371,0.006376651,0.00065219967,0.0012471203,0.00012250672,3.6496508e-7,0.00001694177,0.000009387886,0.0000377107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982205,0.00009801873,0.0014885018,0.00006744129,0.0000210239,0.00010452036],"domain_scores_gemma":[0.9970217,0.00001921177,0.0026471831,0.00014826767,0.00011645979,0.000047179004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028011836,0.00006776296,0.0002425934,0.0003743704,0.000119853255,0.00008000656,0.0001446219,0.000012909387,0.000025510144],"category_scores_gemma":[0.00005567091,0.000059340826,0.000049386876,0.00023935543,0.00005654726,0.001265262,0.000019075642,0.000097505304,0.000060005947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014228721,0.00012437536,0.0030361225,0.000052753297,0.000114242386,6.0070835e-7,0.005226859,0.0014703945,0.0000033171623,0.8005488,0.0016854821,0.18772285],"study_design_scores_gemma":[0.0046514184,0.0024158536,0.32929674,0.000101771315,0.0000677015,0.0001310515,0.006121504,0.10968505,0.00004962809,0.22635993,0.3202636,0.0008557449],"about_ca_topic_score_codex":0.000013869373,"about_ca_topic_score_gemma":0.000003885029,"teacher_disagreement_score":0.5741888,"about_ca_system_score_codex":0.000052352883,"about_ca_system_score_gemma":0.000017894676,"threshold_uncertainty_score":0.24198487},"labels":[],"label_agreement":null},{"id":"W1993270676","doi":"10.1108/03074350210768202","title":"Real options: valuing flexibility in strategic mergers and acquisitions as an exchange ratio swap","year":2002,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Swap (finance); Valuation (finance); Discounted cash flow; Portfolio; Business; Credibility; Earnings; Economics; Valuation of options; Mergers and acquisitions; Finance; Financial economics; Microeconomics","score_opus":0.06755429706762907,"score_gpt":0.2553210815202255,"score_spread":0.18776678445259642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993270676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96409416,0.010801682,0.000040126542,0.00043616243,0.00024156914,0.00020383195,0.00005155456,0.00003977948,0.024091132],"genre_scores_gemma":[0.96695673,0.028896056,0.0004780016,0.000099414385,0.00015845985,0.00004884876,0.00003582333,0.0000144823125,0.0033121586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987574,0.000030713014,0.0004367252,0.00049085176,0.000036386933,0.0002478938],"domain_scores_gemma":[0.99943477,0.000019555662,0.0001505605,0.00032584305,0.000013799675,0.000055500197],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003565492,0.00014517938,0.00030659337,0.00024553543,0.00015672899,0.00012851841,0.0001281513,0.000086045926,0.0012394364],"category_scores_gemma":[0.000021630485,0.00017278532,0.000077925615,0.00041315964,0.00008960793,0.0005320557,0.000044769055,0.00009456626,0.00030484982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012801817,0.00012298209,0.0009904306,0.000021128955,0.000016864722,0.000012629859,0.0006723764,0.0006507673,0.00006668809,0.99680984,0.00023202896,0.00039144402],"study_design_scores_gemma":[0.0016415033,0.00031098636,0.03676756,0.00004314468,0.00003914639,0.0000036784566,0.0008123901,0.22722386,0.00012574573,0.7244602,0.0076105287,0.0009612549],"about_ca_topic_score_codex":0.0017486028,"about_ca_topic_score_gemma":0.00047790533,"teacher_disagreement_score":0.27234966,"about_ca_system_score_codex":0.00007794821,"about_ca_system_score_gemma":0.000004486431,"threshold_uncertainty_score":0.99967355},"labels":[],"label_agreement":null},{"id":"W1994673479","doi":"10.1142/s0219024907004573","title":"ENERGY SPOT PRICE MODELS AND SPREAD OPTIONS PRICING","year":2007,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spot contract; Futures contract; Forward price; Forward contract; Econometrics; Valuation (finance); Lévy process; Economics; Valuation of options; Affine transformation; Commodity; Financial economics; Mathematics; Applied mathematics; Finance","score_opus":0.01269336720631088,"score_gpt":0.22147247266156803,"score_spread":0.20877910545525716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994673479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74728453,0.0142785525,0.19379939,0.0022485848,0.00041965005,0.000060093713,0.000028928946,0.000011212603,0.041869078],"genre_scores_gemma":[0.9884007,0.007361612,0.0035462375,0.00032137564,0.000189411,0.0000011034738,0.0000018742013,0.000007332668,0.00017035702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99914914,0.0000035083347,0.0004899254,0.00014854819,0.00007365508,0.0001352171],"domain_scores_gemma":[0.9994293,0.00008531838,0.00030000042,0.00006249161,0.000052673196,0.00007022384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046939816,0.00009063419,0.00022301132,0.00019183905,0.000047993322,0.000061136045,0.00016427916,0.00005633709,0.000051814517],"category_scores_gemma":[0.000021156746,0.00008070779,0.0000728059,0.00008827245,0.00022434175,0.0001512212,0.0000653529,0.00011805511,0.000005565645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006508439,0.000051269686,0.0002358697,0.0000022179538,0.00006222313,0.0000100267125,0.0001146819,0.00019359826,0.0001107329,0.9956862,0.00005502923,0.0034131096],"study_design_scores_gemma":[0.000389633,0.000037805035,0.001616034,0.000019610594,0.000011872742,0.00005046106,0.00004462996,0.007991005,0.00067073095,0.9844639,0.0045895074,0.0001148597],"about_ca_topic_score_codex":0.000010965457,"about_ca_topic_score_gemma":0.0000020504315,"teacher_disagreement_score":0.24111618,"about_ca_system_score_codex":0.00003582243,"about_ca_system_score_gemma":0.0000067222327,"threshold_uncertainty_score":0.32911682},"labels":[],"label_agreement":null},{"id":"W1996298489","doi":"10.5755/j01.ee.25.3.2737","title":"Research and Development Projects Upon Real Options View","year":2014,"lang":"en","type":"article","venue":"Engineering Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Competitor analysis; Duopoly; Competition (biology); Cash flow; Business; Industrial organization; Economics; Marketing; Finance; Microeconomics","score_opus":0.06750926543154262,"score_gpt":0.2451735066317604,"score_spread":0.1776642412002178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996298489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883564,0.0050508464,0.0008844401,0.00020100312,0.00022824538,0.00014435472,0.000009442017,0.000064541695,0.005060724],"genre_scores_gemma":[0.97738403,0.011753405,0.009347815,0.000032216034,0.00018545295,0.0000538395,0.00002823146,0.00003730377,0.0011777165],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911153,0.0000073114247,0.00032679565,0.00028502493,0.000015225895,0.00025408436],"domain_scores_gemma":[0.999576,0.000063900916,0.000059004182,0.00019572461,0.000015361076,0.00009001507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008788856,0.000104746796,0.00023140937,0.00033856713,0.00012932024,0.000095574476,0.00010936262,0.00006396534,0.000045679113],"category_scores_gemma":[0.000034480225,0.00012515315,0.000034064775,0.000121532736,0.000026358908,0.00013377614,0.00006935141,0.00015863945,0.0003717015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015515419,0.000023500885,0.0015205484,0.00002816172,0.000042256583,2.9291138e-7,0.00034295153,0.0030761205,0.000007716384,0.9941888,0.00011781363,0.00065032503],"study_design_scores_gemma":[0.00077162636,0.00015737941,0.035151266,0.000046828492,0.000010181451,0.0000075880303,0.0002038528,0.3148001,0.0004524262,0.035241295,0.61225027,0.00090716913],"about_ca_topic_score_codex":0.00008094484,"about_ca_topic_score_gemma":0.000048799076,"teacher_disagreement_score":0.9589475,"about_ca_system_score_codex":0.0001245657,"about_ca_system_score_gemma":0.000015328493,"threshold_uncertainty_score":0.51035976},"labels":[],"label_agreement":null},{"id":"W1998356291","doi":"10.1111/j.1467-8551.2008.00601.x","title":"Forgoing the Flexibility of Real Options: When and Why Firms Commit to Investment Decisions<sup>*</sup>","year":2009,"lang":"en","type":"article","venue":"British Journal of Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Commit; Business; Flexibility (engineering); Investment (military); Rivalry; Equity (law); Abandonment (legal); Economics; Investment decisions; Profit (economics); Microeconomics; Monetary economics; Industrial organization; Finance; Behavioral economics","score_opus":0.03664837619238825,"score_gpt":0.2425669099673677,"score_spread":0.20591853377497946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998356291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9256899,0.05207631,0.0028778855,0.007594761,0.00014499002,0.0005619706,0.000057501333,0.000013329306,0.01098339],"genre_scores_gemma":[0.9195249,0.0636274,0.011909187,0.0036535119,0.00011592386,0.000008832856,0.000006408427,0.000014091931,0.0011397224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985571,0.000033363092,0.0009199915,0.0001977259,0.00011589327,0.00017591307],"domain_scores_gemma":[0.9990756,0.0000657189,0.00042537006,0.00025352574,0.00006136243,0.00011844063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013093698,0.000105374835,0.00037111467,0.00025369698,0.00015403244,0.00015630282,0.00030560797,0.000035947778,0.00010143845],"category_scores_gemma":[0.00008687008,0.0000996729,0.00019834052,0.00021945774,0.000059942016,0.00022732136,0.00011490657,0.00012380342,0.000015224711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106054074,0.0007860055,0.006620738,0.000057405574,0.00076997327,0.0001402158,0.0020906376,0.0101853525,0.0000040805485,0.7680416,0.086730964,0.12446699],"study_design_scores_gemma":[0.001677084,0.0006544642,0.17313154,0.00043654384,0.00019392808,0.0001208621,0.0017441994,0.006053268,0.000019040082,0.74329275,0.072316565,0.00035977337],"about_ca_topic_score_codex":0.00026974367,"about_ca_topic_score_gemma":0.000070787326,"teacher_disagreement_score":0.1665108,"about_ca_system_score_codex":0.000087759894,"about_ca_system_score_gemma":0.0000066045827,"threshold_uncertainty_score":0.4064543},"labels":[],"label_agreement":null},{"id":"W1998574463","doi":"10.2118/71407-ms","title":"Extending the Influence of Real Options: Problems and Opportunities","year":2001,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Valuation (finance); Corporate governance; Cash flow; Discounted cash flow; Computer science; Corporate finance; Financial modeling; Credibility; Economics; Finance","score_opus":0.07749824819150242,"score_gpt":0.25895044207424744,"score_spread":0.18145219388274503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998574463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98718727,0.006135597,0.000182413,0.00159162,0.00001491444,0.00012562616,0.0000606661,0.000029269437,0.004672647],"genre_scores_gemma":[0.8731417,0.12630552,0.00008772162,0.000095253745,0.000021903335,0.000014571761,0.000014343998,0.000004176759,0.0003148209],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931276,0.000011794726,0.00032537626,0.00018907737,0.00003581385,0.00012517063],"domain_scores_gemma":[0.9995918,0.000032293945,0.0001445781,0.0001314297,0.000051675346,0.00004817617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029589675,0.00008536139,0.00018994723,0.00010763003,0.000112140755,0.00005253544,0.00007507883,0.00006880619,0.000069789974],"category_scores_gemma":[0.000027826156,0.000068519446,0.00004257772,0.0001168611,0.00028676796,0.00034549792,0.000060180817,0.00009429802,0.00000977545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070517613,0.000025558937,0.0034744977,0.000014329529,0.00001065346,0.0000018660396,0.00026545578,0.000018130968,0.00038317573,0.99438274,0.00011475733,0.0013017928],"study_design_scores_gemma":[0.00034691446,0.0002950611,0.17669077,0.00012132976,0.00003669754,0.00003909702,0.0014481611,0.0012110469,0.000106767126,0.8113886,0.008000015,0.00031549236],"about_ca_topic_score_codex":0.00039622703,"about_ca_topic_score_gemma":0.00006999028,"teacher_disagreement_score":0.1829941,"about_ca_system_score_codex":0.000011462002,"about_ca_system_score_gemma":0.0000065829154,"threshold_uncertainty_score":0.2794142},"labels":[],"label_agreement":null},{"id":"W1999659602","doi":"10.1080/00137910008967541","title":"THE IMPACT OF POLITICAL RISK ON THE FOREIGN DIRECT INVESTMENT DECISION: A CAPITAL BUDGETING ANALYSIS","year":2000,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Regina","funders":"","keywords":"Capital budgeting; Political risk; Politics; Foreign direct investment; Economics; Capital (architecture); Business; Finance; Macroeconomics; Political science; Project appraisal","score_opus":0.010797763591713017,"score_gpt":0.20542635090848949,"score_spread":0.19462858731677646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999659602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694804,0.0025623215,0.00008903491,0.0003305338,0.00007703118,0.00015765722,0.00012963681,0.00002637387,0.027147038],"genre_scores_gemma":[0.9981552,0.00076370355,0.000045132507,0.00008970936,0.00015176019,0.000030844993,0.000007750563,0.000021689815,0.00073421345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866813,0.000025692001,0.0006028342,0.00026665017,0.000043766806,0.000392911],"domain_scores_gemma":[0.998029,0.00093337364,0.00021488394,0.0007079897,0.00001334941,0.0001014357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009518055,0.00020621564,0.00043003005,0.00015229633,0.00030883128,0.0001383943,0.00044976728,0.000052949734,0.0007073581],"category_scores_gemma":[0.00017352324,0.00010909721,0.0007966683,0.00040120038,0.00012608159,0.00006791604,0.000042844575,0.00019494187,0.0002668514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002831209,0.000043689004,0.008123436,0.0000023342468,0.0018822096,8.334193e-7,0.00026587973,0.18258873,0.0000014517012,0.80591494,0.00063378294,0.00051439035],"study_design_scores_gemma":[0.000621136,0.0002508274,0.21560113,0.000021593596,0.00054361345,0.0000042949746,0.00041544088,0.6641993,0.0001608805,0.11065421,0.006890293,0.00063730055],"about_ca_topic_score_codex":0.0023641114,"about_ca_topic_score_gemma":0.000063907595,"teacher_disagreement_score":0.69526076,"about_ca_system_score_codex":0.00020780094,"about_ca_system_score_gemma":0.000014183623,"threshold_uncertainty_score":0.7745076},"labels":[],"label_agreement":null},{"id":"W1999977754","doi":"10.1111/j.1745-6622.2002.tb00699.x","title":"REAL OPTIONS WITH MARKET RISKS AND PRIVATE RISKS","year":2002,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Actuarial science; Valuation of options; Business; Market risk; Investment (military); Economics; Arbitrage; Financial economics; Finance","score_opus":0.08542938324685098,"score_gpt":0.2248472981609153,"score_spread":0.13941791491406433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999977754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642619,0.008951404,0.00039274344,0.00031022896,0.000106365624,0.00012467426,0.000040367948,0.000012960989,0.025799362],"genre_scores_gemma":[0.9280497,0.06455188,0.0057236482,0.00007424688,0.000116293566,0.000007474418,0.0000023270266,0.000021037164,0.0014534205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99880224,0.000007976796,0.00067434524,0.00023563083,0.000066410794,0.00021341682],"domain_scores_gemma":[0.99774325,0.000027334861,0.0018703801,0.00021451485,0.000052922973,0.00009161922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036501818,0.00016972072,0.00049268024,0.00024957935,0.00012374806,0.00008414833,0.00017349624,0.00008001952,0.00027490006],"category_scores_gemma":[0.000008325441,0.00014774283,0.00009709787,0.00038386413,0.00013068755,0.00022984903,0.00003387106,0.00024955935,0.00009624863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019344345,0.00019053974,0.027450284,0.000021493142,0.00021135688,0.00006541168,0.0003103544,0.0011840705,0.0000821994,0.9627542,0.005896347,0.0016402849],"study_design_scores_gemma":[0.004472656,0.0009510257,0.39481893,0.00010666293,0.00022138107,0.00017645802,0.0001861021,0.026895553,0.00047620168,0.51998574,0.050528415,0.0011808649],"about_ca_topic_score_codex":0.00003950347,"about_ca_topic_score_gemma":0.000009601153,"teacher_disagreement_score":0.44276848,"about_ca_system_score_codex":0.000051250863,"about_ca_system_score_gemma":0.000010389785,"threshold_uncertainty_score":0.6024777},"labels":[],"label_agreement":null},{"id":"W2001088052","doi":"10.1111/j.1937-5956.2012.01376.x","title":"The Effect of Competition on R&amp;D Portfolio Investments","year":2012,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Competition (biology); Monopoly; Portfolio; Industrial organization; Economics; Investment (military); Business; Project portfolio management; Microeconomics; Duopoly; Finance; Cournot competition; Project management","score_opus":0.02078751941809252,"score_gpt":0.23340016083057824,"score_spread":0.21261264141248573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001088052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9511965,0.010193596,0.00029565798,0.0024889964,0.0011402104,0.00070974353,0.000010406845,0.000029749526,0.03393516],"genre_scores_gemma":[0.9855228,0.0041593243,0.000209846,0.00009130818,0.00010293438,0.00006391928,0.000025225156,0.0000054582797,0.009819171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948853,0.000019281202,0.0002240436,0.00013482897,0.000033423694,0.00009989779],"domain_scores_gemma":[0.99969995,0.000009378671,0.00006646156,0.00018184182,0.000010127966,0.00003226923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004673672,0.000066967055,0.00010295867,0.00012483903,0.00024700153,0.00004354971,0.000041924646,0.000014985209,0.00007765344],"category_scores_gemma":[0.000028698385,0.000049281185,0.000040659095,0.0001477681,0.000047965706,0.00015701482,0.000025056812,0.0000343712,0.00017197078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008819645,0.000055404682,0.011220591,0.000016434284,0.0000832136,3.9704265e-8,0.000104802166,0.00025686127,0.000010657688,0.9850163,0.0021346575,0.0010922095],"study_design_scores_gemma":[0.0014639124,0.00062477373,0.20424752,0.00007671855,0.0002869324,0.000006341397,0.000557771,0.0026618214,0.0051105116,0.02257556,0.7616699,0.00071824255],"about_ca_topic_score_codex":0.000027004759,"about_ca_topic_score_gemma":0.00001444561,"teacher_disagreement_score":0.9624407,"about_ca_system_score_codex":0.000026054819,"about_ca_system_score_gemma":7.253326e-7,"threshold_uncertainty_score":0.22103938},"labels":[],"label_agreement":null},{"id":"W2001938635","doi":"10.1111/j.1468-036x.2008.00452.x","title":"PIP Transactions, Price Improvement, Informed Trades and Order Execution Quality","year":2008,"lang":"en","type":"article","venue":"European Financial Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"","keywords":"Order (exchange); Database transaction; Context (archaeology); Market maker; Quality (philosophy); Position (finance); Transaction cost; Business; Ask price; Set (abstract data type); Economics; Microeconomics; Industrial organization; Computer science; Database; Finance","score_opus":0.03582932578427968,"score_gpt":0.21868983022362867,"score_spread":0.18286050443934898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001938635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72305363,0.0048707454,0.044119783,0.0006292666,0.00055121473,0.0007510787,0.00008131768,0.00017542545,0.22576752],"genre_scores_gemma":[0.975031,0.010887903,0.001350754,0.0006329977,0.00009530974,0.000020858475,0.000026710282,0.000023200077,0.011931266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99873626,0.000024079722,0.0005807543,0.00035470177,0.00005860536,0.00024560656],"domain_scores_gemma":[0.9994387,0.000012094465,0.00021946251,0.00023643383,0.000018390203,0.000074927004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040104886,0.00016233735,0.0002447722,0.00022648688,0.00029164457,0.00005285759,0.0001358716,0.00003109133,0.00017949504],"category_scores_gemma":[0.00002606365,0.0001774668,0.00010569312,0.0003502955,0.00008624983,0.00027570606,0.000042341242,0.00009639567,0.00038153934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000763102,0.00045741932,0.006034376,0.0002285934,0.0002322285,0.00007030455,0.002888038,0.00008523096,0.000054185028,0.9482949,0.0066199256,0.034958497],"study_design_scores_gemma":[0.0016752391,0.000191114,0.5629044,0.000020761125,0.000049113918,0.0000051565053,0.00028267124,0.000363076,0.00008086203,0.0081606405,0.42562845,0.0006384764],"about_ca_topic_score_codex":0.00013039638,"about_ca_topic_score_gemma":0.00002762641,"teacher_disagreement_score":0.9401342,"about_ca_system_score_codex":0.000074720636,"about_ca_system_score_gemma":0.000008887077,"threshold_uncertainty_score":0.7236886},"labels":[],"label_agreement":null},{"id":"W2005499700","doi":"10.1111/j.1745-6622.2001.tb00327.x","title":"REAL OPTIONS: STATE OF THE PRACTICE","year":2001,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Valuation (finance); Process (computing); Capital budgeting; Value (mathematics); Economics; Formality; Business; Accounting; Finance; Computer science; Project appraisal","score_opus":0.033367867736803725,"score_gpt":0.22224402290303608,"score_spread":0.18887615516623235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005499700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674329,0.008063941,0.00036866122,0.0010877259,0.00038258746,0.00013449354,0.000029927924,0.000005911296,0.022493808],"genre_scores_gemma":[0.9348525,0.06010999,0.003028217,0.0001891725,0.00010272218,0.0000039264437,0.0000014188947,0.000013780343,0.0016982771],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987293,0.000012059458,0.0009010948,0.00013311672,0.000079783415,0.00014465],"domain_scores_gemma":[0.99560434,0.000049613864,0.0039115245,0.00026004555,0.00013848562,0.00003598503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063773204,0.000103963735,0.0003703014,0.0001440607,0.00007425863,0.000030932602,0.000303222,0.000041352923,0.000038768132],"category_scores_gemma":[0.000047474554,0.00008102343,0.00019138721,0.0006034006,0.00009691392,0.00026779695,0.000041887084,0.00019900619,0.0000666252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020313075,0.00018998697,0.0033146911,0.000009160735,0.000123826,0.000018402277,0.00034190214,0.0051258435,0.0003759206,0.9873996,0.0016875787,0.001209991],"study_design_scores_gemma":[0.001165155,0.0001984414,0.047529493,0.00004573336,0.00008758792,0.00007960551,0.00021493022,0.0016640268,0.0015969006,0.85125667,0.09585717,0.00030427997],"about_ca_topic_score_codex":0.00004939853,"about_ca_topic_score_gemma":0.000009998935,"teacher_disagreement_score":0.1361429,"about_ca_system_score_codex":0.00006091228,"about_ca_system_score_gemma":0.000050777773,"threshold_uncertainty_score":0.33040395},"labels":[],"label_agreement":null},{"id":"W2006345592","doi":"10.1179/mnt.2000.109.1.30","title":"Capital investment appraisal for the integration of new technology into mining systems","year":2000,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Capital budgeting; Risk analysis (engineering); Productivity; Process (computing); Investment (military); Activity-based costing; Analytic hierarchy process; Computer science; Business; Management science; Knowledge management; Engineering; Operations research; Marketing; Economics; Project appraisal; Finance","score_opus":0.04069562092105631,"score_gpt":0.2599082598979466,"score_spread":0.21921263897689028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006345592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91451055,0.007650119,0.07472354,0.0015258087,0.000722374,0.00030292317,0.0000352288,0.00006048683,0.00046897132],"genre_scores_gemma":[0.9818887,0.00069760403,0.015767565,0.000015477784,0.00003162012,0.00010146952,0.000005061494,0.000012085875,0.0014804064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871033,0.0000144426085,0.00078540464,0.0002695383,0.000056807876,0.00016345963],"domain_scores_gemma":[0.99885607,0.00011916194,0.00048625306,0.00042952393,0.000077042496,0.00003194848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032189034,0.00016004876,0.00044438065,0.0008942703,0.00040100224,0.00001560917,0.00031763338,0.0002650552,0.000055398905],"category_scores_gemma":[0.00016020509,0.00012513046,0.0002227807,0.0010926703,0.0008632783,0.00014815944,0.000020816984,0.00014810586,0.0000018703535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114998475,0.0004911515,0.0030896803,0.00015065145,0.0020340455,6.027912e-7,0.011624772,0.03600134,0.0055507882,0.8893596,0.00038133684,0.051201034],"study_design_scores_gemma":[0.01312544,0.005498433,0.0071086097,0.0021446326,0.005798254,0.0006036912,0.24095689,0.26490292,0.07337806,0.087518476,0.2958937,0.0030709358],"about_ca_topic_score_codex":0.0007189639,"about_ca_topic_score_gemma":0.0004564255,"teacher_disagreement_score":0.80184114,"about_ca_system_score_codex":0.000049025773,"about_ca_system_score_gemma":0.00008479435,"threshold_uncertainty_score":0.5102672},"labels":[],"label_agreement":null},{"id":"W2007445887","doi":"10.1016/j.enpol.2013.01.020","title":"Taking an option on the future: Subsidizing biofuels for energy security or reducing global warming","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Carleton University","funders":"","keywords":"Subsidy; Biofuel; Energy security; Natural resource economics; Global warming; Economics; Climate change; Renewable energy; Business; Environmental science; Engineering; Market economy; Waste management; Ecology","score_opus":0.03746627562386124,"score_gpt":0.2617646813291004,"score_spread":0.22429840570523918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007445887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675637,0.006603462,0.002744485,0.00976054,0.00091670983,0.0002192866,0.00013753766,0.00013446354,0.011919827],"genre_scores_gemma":[0.9926429,0.0014606715,0.00039190252,0.0019603777,0.0025477866,0.000101889804,0.0000470141,0.000025450623,0.0008220549],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99872434,0.000027750542,0.00040649687,0.00039968095,0.000045903544,0.00039582033],"domain_scores_gemma":[0.99907386,0.000058098973,0.00036349113,0.00036311385,0.000029702716,0.000111731904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021598459,0.00019347013,0.00027383948,0.00021773744,0.0003541574,0.0002158233,0.0002607213,0.000121148536,0.00029217525],"category_scores_gemma":[0.000073601375,0.00014704677,0.00019904626,0.0005027043,0.000046264046,0.00037385893,0.000049920433,0.000067927,0.00004304287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011336437,0.000047525817,0.00014978385,0.0000048856205,0.00005427582,5.81772e-7,0.00029298844,0.00023549126,0.00007209689,0.98876727,0.0005888463,0.009774924],"study_design_scores_gemma":[0.0004925594,0.00020143438,0.0015995573,0.000025708694,0.000025402158,0.000006262973,0.00066102395,0.06023669,0.0024116633,0.84251654,0.091259584,0.00056355214],"about_ca_topic_score_codex":0.024037628,"about_ca_topic_score_gemma":0.0010770105,"teacher_disagreement_score":0.14625071,"about_ca_system_score_codex":0.00023121554,"about_ca_system_score_gemma":0.00003287294,"threshold_uncertainty_score":0.9824614},"labels":[],"label_agreement":null},{"id":"W2012780917","doi":"10.7202/1007887ar","title":"L'investissement stratégique dans les moyennes entreprises industrielles françaises","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.028343837407473788,"score_gpt":0.2440887358818674,"score_spread":0.21574489847439363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012780917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88284105,0.042932626,0.0073407674,0.055321857,0.0014573373,0.00043251182,0.0006515276,0.00011978663,0.008902518],"genre_scores_gemma":[0.57584727,0.24966885,0.011717145,0.00085375906,0.001517224,0.0001735936,0.00044084486,0.00011151547,0.15966979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964296,0.00039388952,0.0013938916,0.000881484,0.00012242729,0.0007786756],"domain_scores_gemma":[0.99354863,0.0041588144,0.0010371351,0.0006477899,0.00013547996,0.00047212435],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016779188,0.00058466825,0.00073227676,0.0006264044,0.0002181341,0.00048719646,0.0005289314,0.0006623421,0.004420848],"category_scores_gemma":[0.0027950634,0.0007696115,0.00057084946,0.00030044603,0.00044054288,0.0013173218,0.000280848,0.0009074056,0.0013357245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028199256,0.00091610773,0.48981062,0.0000781381,0.0004620302,0.000025313777,0.0027668313,0.01002662,0.00006671569,0.47283795,0.0052009574,0.017780498],"study_design_scores_gemma":[0.0018228237,0.00013836486,0.484593,0.0009300366,0.0003660388,0.00021752028,0.0016578339,0.019519484,0.00208444,0.06491723,0.4220922,0.001661033],"about_ca_topic_score_codex":0.0026725172,"about_ca_topic_score_gemma":0.00047619687,"teacher_disagreement_score":0.41689125,"about_ca_system_score_codex":0.0010575883,"about_ca_system_score_gemma":0.00014261114,"threshold_uncertainty_score":0.9994755},"labels":[],"label_agreement":null},{"id":"W2013165936","doi":"10.1080/08276331.2004.10593313","title":"Partial Abandonment by Smes Investing in Advanced Manufacturing Technology: Some Qualitative Evidence","year":2004,"lang":"en","type":"article","venue":"Journal of Small Business & Entrepreneurship","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Competitor analysis; Profitability index; Business; Investment (military); Implementation; Industrial organization; Abandonment (legal); Marketing; Capital (architecture); Finance; Computer science","score_opus":0.059666464311250784,"score_gpt":0.26753313921702165,"score_spread":0.20786667490577088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013165936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680251,0.026505388,0.00040020546,0.0046132365,0.00027805593,0.0001153054,0.000008661436,0.000019260176,0.000034791014],"genre_scores_gemma":[0.9933358,0.0050252983,0.0012338536,0.0001781155,0.000098353645,0.000010252539,0.0000033638341,0.000020651974,0.00009430869],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99797726,0.00003821187,0.0011763776,0.00034845396,0.000100099176,0.00035960544],"domain_scores_gemma":[0.9982698,0.00014062258,0.0011838201,0.00022710637,0.00007362558,0.00010500463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008195271,0.00021979553,0.00061881024,0.0007394771,0.000070567214,0.000081616374,0.00034627347,0.00011659328,0.000042701602],"category_scores_gemma":[0.0005750341,0.00021470005,0.00016253203,0.0005593271,0.00012004169,0.0008279818,0.00007810603,0.0003217916,0.000038006383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089377223,0.0020979783,0.65177596,0.00045199032,0.0008185606,0.0009548477,0.0296936,0.08847169,0.017144393,0.19914396,0.0002771402,0.008276136],"study_design_scores_gemma":[0.0077078682,0.00048055706,0.15411773,0.0021298474,0.00016830226,0.00014500036,0.003952308,0.0002587946,0.13862096,0.6893529,0.001570724,0.0014949454],"about_ca_topic_score_codex":0.00030769975,"about_ca_topic_score_gemma":0.000066684646,"teacher_disagreement_score":0.4976582,"about_ca_system_score_codex":0.00027810025,"about_ca_system_score_gemma":0.0000464438,"threshold_uncertainty_score":0.8755214},"labels":[],"label_agreement":null},{"id":"W2013298344","doi":"10.5430/afr.v4n2p1","title":"Sustainability Considerations in Capital Budgeting Decisions: A Survey of Financial Executives","year":2015,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Management Accountants","keywords":"Sustainability; Capital budgeting; Investment (military); Dimension (graph theory); Capital (architecture); Business; Finance; Investment decisions; Return on investment; Economics; Accounting; Microeconomics; Production (economics)","score_opus":0.14983335042434662,"score_gpt":0.3502450720625583,"score_spread":0.20041172163821167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013298344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801063,0.018258827,0.00004136346,0.00039832745,0.000058421563,0.00019314795,0.00005223411,0.000007435892,0.00088393275],"genre_scores_gemma":[0.99727505,0.0020581002,0.0003646949,0.000020729149,0.00003121222,0.000026786207,0.000011890873,0.0000095451205,0.00020199272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982556,0.00014866113,0.0006519182,0.00041057114,0.000121530065,0.00041171483],"domain_scores_gemma":[0.9977143,0.0011796457,0.00018055024,0.0002579044,0.0006150335,0.000052584972],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009321686,0.0001059762,0.0003980895,0.0005577774,0.00018408155,0.000100365265,0.00013420059,0.000106245614,0.000014007695],"category_scores_gemma":[0.019764664,0.00011349489,0.00005083844,0.0009739973,0.00033996717,0.00033309328,0.00016913722,0.0003044307,0.0000233474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030577616,0.000109420376,0.7239274,0.000015044169,0.0000068624504,0.0000073509336,0.0019976161,0.00009574865,0.0000036363756,0.27244437,0.00074198,0.0006200285],"study_design_scores_gemma":[0.00037075678,0.0000528408,0.7005257,0.000026002559,0.0000012311783,0.0000014893964,0.0008485536,0.0021738124,0.000024381969,0.2954853,0.00037329298,0.00011665456],"about_ca_topic_score_codex":0.01741757,"about_ca_topic_score_gemma":0.0026344054,"teacher_disagreement_score":0.023401683,"about_ca_system_score_codex":0.00013973008,"about_ca_system_score_gemma":0.00026225706,"threshold_uncertainty_score":0.98912555},"labels":[],"label_agreement":null},{"id":"W2014222386","doi":"10.1155/2009/817137","title":"Fuzzy Real Options in Brownfield Redevelopment Evaluation","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Mathematics and Decision Sciences","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Brownfield; Fuzzy logic; Redevelopment; Computer science; Risk analysis (engineering); Operations research; Business; Engineering; Artificial intelligence; Civil engineering","score_opus":0.08023343430578007,"score_gpt":0.31049467725268826,"score_spread":0.2302612429469082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014222386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9328322,0.003160957,0.0030398697,0.00044143762,0.00009933129,0.00010580335,0.0000012161848,0.0000027018623,0.06031648],"genre_scores_gemma":[0.73819566,0.007673406,0.25396353,0.0001090882,0.00003553208,0.0000019391673,3.596849e-7,0.0000021965184,0.000018314337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99886817,0.0000011122179,0.0007412085,0.00012588965,0.00016774937,0.00009584564],"domain_scores_gemma":[0.99927294,0.00009688147,0.00045983912,0.0000761554,0.000043871554,0.00005028805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028360158,0.00006260805,0.00025197928,0.0004517306,0.000087226144,0.00011105858,0.00013735122,0.00003807835,0.00006270316],"category_scores_gemma":[0.00007223709,0.000047661055,0.000052884916,0.00037328506,0.000045820285,0.0001525874,0.000018203005,0.0000653285,0.000011685882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007324023,0.00008123628,0.00008664016,0.0000016836009,0.0000055301048,8.5969884e-7,0.00068958703,0.00036794165,0.00006653007,0.9842663,0.00035351707,0.014072888],"study_design_scores_gemma":[0.00029843772,0.00007296278,0.004899211,0.000022901522,0.000006936505,0.0000052836735,0.00058891554,0.0073454767,0.000031252817,0.98651576,0.00014755623,0.00006532673],"about_ca_topic_score_codex":0.0000043995865,"about_ca_topic_score_gemma":0.0000051164,"teacher_disagreement_score":0.25092363,"about_ca_system_score_codex":0.00003504128,"about_ca_system_score_gemma":0.000031992582,"threshold_uncertainty_score":0.19435614},"labels":[],"label_agreement":null},{"id":"W2014829341","doi":"10.2202/1538-0645.1228","title":"Adjustment Costs and Irreversibility as Determinants of Investment: Evidence from African Manufacturing","year":2005,"lang":"en","type":"article","venue":"Contributions in Economic Analysis & Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Disequilibrium; Economics; Investment (military); Fixed investment; Investment function; Capital (architecture); Econometrics; Function (biology); Fixed cost; Monetary economics; Microeconomics; Capital formation; Production (economics); Financial capital","score_opus":0.02124527714129848,"score_gpt":0.2803932901460976,"score_spread":0.2591480130047991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014829341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98121434,0.01541961,0.00011646898,0.0008758859,0.00005422276,0.00021246646,0.0008625508,0.000015775042,0.0012286793],"genre_scores_gemma":[0.9936917,0.0052296603,0.0002482799,0.0002809152,0.00014474447,0.000032479686,0.00006584573,0.000010398706,0.00029597437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976976,0.00005033553,0.0012001934,0.0006358456,0.000040361196,0.00037565117],"domain_scores_gemma":[0.99836195,0.00020120214,0.000639471,0.00059091474,0.000025806265,0.00018065296],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005505867,0.00022902549,0.0009809674,0.0012956802,0.00010443188,0.000052047173,0.0002831927,0.00012118896,0.00055953866],"category_scores_gemma":[0.00023096836,0.00026277028,0.0003884297,0.0005283314,0.00021047393,0.00048039688,0.00015583781,0.00012654782,0.00028296895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060922197,0.00029622315,0.74037445,0.000014997329,0.0020145767,0.0000036100134,0.0015351947,0.004443264,0.00004472273,0.24499056,0.00016537342,0.0060561346],"study_design_scores_gemma":[0.001211148,0.00006527487,0.8691026,0.000045542056,0.0007754199,0.0000016886806,0.00038955608,0.067226134,0.002809267,0.055164278,0.0026488393,0.0005602781],"about_ca_topic_score_codex":0.057748627,"about_ca_topic_score_gemma":0.01342197,"teacher_disagreement_score":0.18982628,"about_ca_system_score_codex":0.0017874723,"about_ca_system_score_gemma":0.00008610844,"threshold_uncertainty_score":0.9999825},"labels":[],"label_agreement":null},{"id":"W2020572879","doi":"10.1016/j.techfore.2013.04.012","title":"Option game with Poisson Jump Process in company radical technological innovation","year":2013,"lang":"en","type":"article","venue":"Technological Forecasting and Social Change","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Duopoly; Technological change; Context (archaeology); Investment (military); Investment value; Industrial organization; Economics; Jump; Business; Microeconomics; Cournot competition","score_opus":0.12442169153905765,"score_gpt":0.25006818186696117,"score_spread":0.12564649032790354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020572879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99378693,0.00085361773,0.0003269937,0.003972486,0.000017085773,0.00034752814,0.000008521408,0.00025706735,0.00042977117],"genre_scores_gemma":[0.9989147,0.00013794075,0.00041900604,0.0001589507,0.000060125432,0.0002223289,0.000026499965,0.000011266146,0.000049165625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988387,0.0000116005285,0.0004005832,0.00037224495,0.000057484107,0.0003193837],"domain_scores_gemma":[0.9996091,0.00002702049,0.00020840715,0.0000874867,0.000039926526,0.000028068329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033574217,0.00016127963,0.00038715638,0.00048809423,0.00014957675,0.00006800613,0.0001406074,0.0004121749,0.000072859446],"category_scores_gemma":[0.000118144395,0.00012853798,0.0000412223,0.0012089846,0.0004934751,0.00021747586,0.00006502586,0.00036719337,0.000049139762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001360896,0.00013718093,0.036009967,0.000026992824,0.00001618501,0.000007027569,0.00071309245,0.0000020565647,0.000033614877,0.9475607,0.000022322189,0.015457206],"study_design_scores_gemma":[0.0012056245,0.00042644216,0.103440166,0.00006805176,0.000016062002,0.00002026422,0.0020464715,0.03166993,0.00013768682,0.8587719,0.00152386,0.0006735184],"about_ca_topic_score_codex":0.00016391893,"about_ca_topic_score_gemma":0.00002263444,"teacher_disagreement_score":0.08878882,"about_ca_system_score_codex":0.00007000407,"about_ca_system_score_gemma":0.0000033774447,"threshold_uncertainty_score":0.52416265},"labels":[],"label_agreement":null},{"id":"W2023542860","doi":"10.2118/81998-ms","title":"Economics of Nigerian Marginal Oil Fields","year":2003,"lang":"en","type":"article","venue":"SPE Hydrocarbon Economics and Evaluation Symposium","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Net present value; Discounted cash flow; Profitability index; Cash flow; Present value; Investment (military); Marginal cost; Economics; Marginal value; Economic risk; Economic analysis; Oil field; Value (mathematics); Internal rate of return; Finance; Actuarial science; Petroleum engineering; Engineering; Computer science; Microeconomics; Agricultural economics; Production (economics)","score_opus":0.024894949013609745,"score_gpt":0.22303211605714868,"score_spread":0.19813716704353893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023542860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88936126,0.004245903,0.00004213897,0.0010622081,0.00049168704,0.00011441205,0.00004402726,0.000011697949,0.104626685],"genre_scores_gemma":[0.9735055,0.024277922,0.0003527644,0.00023976482,0.00008890767,0.00002377056,0.000040154082,0.000025511928,0.0014456883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983584,0.000034598223,0.000852443,0.0004712562,0.000031865682,0.00025139283],"domain_scores_gemma":[0.998922,0.00003685464,0.00052327494,0.00035701247,0.00004027505,0.0001206086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011761029,0.00020216718,0.0005098593,0.00030030034,0.0000902495,0.000087618355,0.00013108374,0.00015288148,0.0005100194],"category_scores_gemma":[0.0000328657,0.0002460836,0.00017944888,0.00011287128,0.00009096734,0.00025368395,0.000034956363,0.00009275301,0.00011100751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021629703,0.000083246065,0.007194474,0.000025575415,0.00018672046,3.514934e-7,0.0006219804,0.007525475,0.00007315189,0.98305196,0.00013365396,0.0010817725],"study_design_scores_gemma":[0.0029656528,0.00025485308,0.0023092565,0.000020851972,0.00019057681,0.000017169317,0.0005013519,0.41748604,0.0024336905,0.50661314,0.066148005,0.0010594059],"about_ca_topic_score_codex":0.00017356279,"about_ca_topic_score_gemma":0.0001384118,"teacher_disagreement_score":0.47643882,"about_ca_system_score_codex":0.00013662451,"about_ca_system_score_gemma":0.00007155962,"threshold_uncertainty_score":0.99999917},"labels":[],"label_agreement":null},{"id":"W2024371581","doi":"10.1139/x10-048","title":"Equity pricing in the forest sector: evidence from North American stock markets","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Capital asset pricing model; Cost of capital; Economics; Cost of equity; Equity capital markets; Stock (firearms); Financial economics; Equity (law); Monetary economics; Business; Finance; Private equity; Profit (economics); Microeconomics","score_opus":0.12043174975975285,"score_gpt":0.32585153899628877,"score_spread":0.20541978923653592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024371581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916091,0.004521646,0.000023105213,0.0018390432,0.00021877044,0.00014406063,0.00004903544,0.0000017362091,0.0015934824],"genre_scores_gemma":[0.9986391,0.00058316597,0.00015354864,0.00011135282,0.00034581128,0.0000066616103,0.0000055137984,0.000014195189,0.00014065129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982324,0.00012541504,0.0005865229,0.00022263399,0.00019757875,0.00063544506],"domain_scores_gemma":[0.99796003,0.00066068943,0.00031899416,0.00040139718,0.00016110527,0.00049780455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045094406,0.000114269365,0.0003359981,0.0011206385,0.0002573364,0.0003102855,0.0010569413,0.000055950677,0.00033818017],"category_scores_gemma":[0.0015365073,0.00009093036,0.00015867177,0.0012457281,0.00041497857,0.00035469432,0.000057589532,0.0012492535,0.000088583765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021027876,0.000017207007,0.98819125,0.000005019185,0.00003080481,0.000110812325,0.0010054708,0.00005555417,0.0000060526895,0.0073913485,0.0020712453,0.0010942102],"study_design_scores_gemma":[0.00015132899,0.00011738547,0.9806748,0.000030003566,0.000005721823,0.000012163813,0.0002509785,0.00083842856,0.0000051509946,0.013020598,0.0047871345,0.00010628248],"about_ca_topic_score_codex":0.24767984,"about_ca_topic_score_gemma":0.96495765,"teacher_disagreement_score":0.7172778,"about_ca_system_score_codex":0.00029588278,"about_ca_system_score_gemma":0.00057821686,"threshold_uncertainty_score":0.75732994},"labels":[],"label_agreement":null},{"id":"W2026002859","doi":"10.1007/s12122-007-9033-y","title":"Uncertainty and International Migration: An Option Cum Portfolio Model","year":2007,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; York University","funders":"","keywords":"Portfolio; Volatility (finance); Economics; Order (exchange); Risk aversion (psychology); Option value; Value (mathematics); Immigration; Unit (ring theory); Financial economics; Microeconomics; Expected utility hypothesis; Finance; Computer science; Geography","score_opus":0.14301575940748984,"score_gpt":0.38525147427466416,"score_spread":0.24223571486717432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026002859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898329,0.004332265,0.001424544,0.001984108,0.00014604906,0.000043186807,0.000020059406,0.0000031912487,0.002213734],"genre_scores_gemma":[0.9897256,0.0059106457,0.0014292831,0.000080522266,0.0003341377,8.281238e-7,0.000008235062,0.000007239462,0.002503526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990547,0.000020939757,0.000492478,0.00012359027,0.00013688618,0.00017146493],"domain_scores_gemma":[0.9991201,0.000050452694,0.00023002848,0.00010106189,0.00036161309,0.0001367384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039437944,0.000054448847,0.00015890879,0.0007424148,0.00008541899,0.000116952404,0.000170906,0.00005435808,0.00017232222],"category_scores_gemma":[0.0001392297,0.00004985893,0.00006480256,0.00030578134,0.000067570974,0.0005067375,0.000034078446,0.000245699,0.000020200896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027996406,0.00027786996,0.059510984,0.0000098797755,0.0001591007,0.000043243163,0.0011515088,0.004206955,0.0006213565,0.92732036,0.0031987762,0.0032199875],"study_design_scores_gemma":[0.0014181469,0.00059408566,0.09255167,0.000031912026,0.000019160747,0.000069344,0.0016529923,0.40504694,0.0003925752,0.4525608,0.04537288,0.00028947325],"about_ca_topic_score_codex":0.00013849899,"about_ca_topic_score_gemma":0.0001754687,"teacher_disagreement_score":0.47475955,"about_ca_system_score_codex":0.000115607,"about_ca_system_score_gemma":0.000036141046,"threshold_uncertainty_score":0.20331882},"labels":[],"label_agreement":null},{"id":"W2026329591","doi":"10.1016/j.resourpol.2006.03.003","title":"Valuing uncertain asset cash flows when there are no options: A real options approach","year":2005,"lang":"en","type":"article","venue":"Resources Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université Laval","funders":"","keywords":"Discounted cash flow; Cash flow; Stylized fact; Valuation (finance); Net present value; Actuarial science; Asset (computer security); Present value; Economics; Microeconomics; Econometrics; Business; Computer science; Finance; Production (economics)","score_opus":0.04296317219408422,"score_gpt":0.2580413608326616,"score_spread":0.2150781886385774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026329591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71621686,0.041686345,0.00023458872,0.0057564285,0.00011454522,0.00044054684,0.0006149072,0.00022361836,0.23471217],"genre_scores_gemma":[0.90763825,0.023076346,0.015130025,0.001243293,0.0043092677,0.00016603341,0.00025517948,0.000104383806,0.048077226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984873,0.000039066974,0.00053238124,0.00044459553,0.00007304902,0.00042359062],"domain_scores_gemma":[0.9989735,0.000043084598,0.0003133572,0.000476296,0.000033658733,0.00016012277],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003812896,0.00021670593,0.00041193256,0.00056651817,0.0002936554,0.00021032736,0.00032194995,0.00014825672,0.0005866533],"category_scores_gemma":[0.000086651555,0.00021905977,0.00030428433,0.00046731034,0.00007282364,0.00025654762,0.00009581597,0.00019227075,0.0014832186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018718292,0.0004050339,0.012400554,0.000049286275,0.00037038504,0.0000060308457,0.0062491926,0.015920196,0.00003823272,0.94665563,0.016776603,0.0011101515],"study_design_scores_gemma":[0.00097076024,0.00008542886,0.017482568,0.000048065536,0.00008117353,0.000017684988,0.001695803,0.21808748,0.000010572545,0.054942552,0.705667,0.00091089256],"about_ca_topic_score_codex":0.0063119316,"about_ca_topic_score_gemma":0.00042437512,"teacher_disagreement_score":0.8917131,"about_ca_system_score_codex":0.00029059435,"about_ca_system_score_gemma":0.00002540429,"threshold_uncertainty_score":0.9992942},"labels":[],"label_agreement":null},{"id":"W2028471477","doi":"10.1504/ijor.2012.046226","title":"An application of infinite horizon stochastic dynamic programming in multi-stage project investment decision-making","year":2012,"lang":"en","type":"article","venue":"International Journal of Operational Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Stochastic programming; Dynamic programming; Investment (military); Computer science; Horizon; Time horizon; Mathematical optimization; Return on investment; Dynamic decision-making; Operations research; Economics; Mathematics; Artificial intelligence; Microeconomics; Production (economics)","score_opus":0.1270503782692598,"score_gpt":0.43591151465089445,"score_spread":0.30886113638163465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028471477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9212471,0.003251833,0.07428172,0.00021754579,0.00031227354,0.0003513988,0.00006343567,0.0000043988884,0.0002702722],"genre_scores_gemma":[0.98324007,0.00018414318,0.01622566,0.000041059207,0.00015887458,0.00003290179,0.00003454799,0.000013261311,0.00006950377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980771,0.000080842125,0.0009781157,0.00017217046,0.0004552423,0.00023650857],"domain_scores_gemma":[0.9983802,0.00031054646,0.0004309298,0.00014217182,0.0006507622,0.00008540559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035121478,0.000096624186,0.00024022767,0.0016366206,0.00006576874,0.00012112513,0.00045661195,0.00006583504,0.000093209535],"category_scores_gemma":[0.0007600316,0.00009250692,0.00010739774,0.00046134047,0.00008991192,0.0009317313,0.0000741026,0.00029957495,0.00003450497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060253154,0.0032592076,0.15410313,0.000031532032,0.0004213359,0.000020687097,0.004156642,0.03927677,0.0020092856,0.7706686,0.00009988845,0.025350386],"study_design_scores_gemma":[0.0026454309,0.0009263616,0.1778078,0.00030278508,0.000017955874,0.000051391893,0.0018708385,0.7821842,0.00023108484,0.027597573,0.0059110215,0.0004535875],"about_ca_topic_score_codex":0.00025284832,"about_ca_topic_score_gemma":0.00013855429,"teacher_disagreement_score":0.743071,"about_ca_system_score_codex":0.00043477427,"about_ca_system_score_gemma":0.00013499093,"threshold_uncertainty_score":0.37723225},"labels":[],"label_agreement":null},{"id":"W2030102082","doi":"10.2118/2004-295","title":"The Banff Taxonomy of Asset Valuation Methods: How Upstream Petroleum Asset Valuation has Evolved in the Past and Where it Might go in the Future","year":2004,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Valuation (finance); Citation; Business; Corporation; Economics; Computer science; Marketing; Finance; Library science","score_opus":0.06373198692965783,"score_gpt":0.26218831201435466,"score_spread":0.19845632508469685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030102082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7309153,0.010521124,0.0038364572,0.23562531,0.0009938576,0.00076676655,0.0006277479,0.00001251734,0.0167009],"genre_scores_gemma":[0.9964582,0.0014145527,0.0005135138,0.00056169886,0.00020059844,0.0001724635,0.00016920506,0.000010486069,0.000499308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99846673,0.00020098442,0.0005261654,0.00034761644,0.00017918741,0.00027933388],"domain_scores_gemma":[0.99876297,0.00028365807,0.0003913862,0.00035667268,0.00012653462,0.00007880692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002268498,0.00019004708,0.00026900147,0.0004085464,0.00021214671,0.0005538452,0.0007642123,0.00011296231,0.0001131746],"category_scores_gemma":[0.00017371857,0.00013129655,0.00011984657,0.00030923885,0.00017217347,0.00033725984,0.000030920655,0.0003134426,0.000027900986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022823016,0.00007726651,0.10643483,0.000012867428,0.00015600049,0.000007811779,0.0023641456,0.0026085526,0.000015126871,0.88234955,0.004684145,0.0012669049],"study_design_scores_gemma":[0.0018734961,0.00014041603,0.3980043,0.000079597725,0.00007063061,0.000015684993,0.009988825,0.06330165,0.00002705194,0.1817979,0.34423727,0.00046317917],"about_ca_topic_score_codex":0.026143676,"about_ca_topic_score_gemma":0.42563972,"teacher_disagreement_score":0.7005516,"about_ca_system_score_codex":0.0004206444,"about_ca_system_score_gemma":0.00028619744,"threshold_uncertainty_score":0.9803413},"labels":[],"label_agreement":null},{"id":"W2030877693","doi":"10.2139/ssrn.963962","title":"Investment Timing Under Regime Switching","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Economics; Investment (military); Monetary economics; Business; Political science; Law","score_opus":0.02498279359390034,"score_gpt":0.23484938367291222,"score_spread":0.20986659007901187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030877693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7645761,0.1323361,0.06983748,0.0023878538,0.0006497348,0.00015744631,0.0000032027308,0.00006879082,0.029983334],"genre_scores_gemma":[0.9775152,0.014004225,0.00034725684,0.00095988525,0.0003952755,0.000001532634,0.000004116394,0.000029271461,0.006743218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99723667,0.0000113933365,0.0005999175,0.0002546237,0.000068953406,0.0018284481],"domain_scores_gemma":[0.9992449,0.000031489206,0.00037920682,0.00019066934,0.00002294044,0.00013076836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030873416,0.00015807056,0.000277532,0.00039564,0.00027366838,0.00009875788,0.000226188,0.00008397682,0.00012185719],"category_scores_gemma":[0.000031598756,0.00015736066,0.00023689658,0.0002802126,0.00002862559,0.00027876094,0.00003781296,0.0010302839,0.00041897976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000102835165,0.000043215696,0.0026437046,0.0000016633114,0.00021806917,0.0000041669664,0.00019343567,0.00006361876,0.000067671026,0.99577075,0.00011723673,0.00086620473],"study_design_scores_gemma":[0.00040337344,0.00009482395,0.0016064909,0.0000074221844,0.000024177334,0.000101232356,0.0012290688,0.00050404476,0.000073707604,0.9901649,0.005565919,0.00022487222],"about_ca_topic_score_codex":0.00023910427,"about_ca_topic_score_gemma":0.0006929837,"teacher_disagreement_score":0.21293916,"about_ca_system_score_codex":0.001253329,"about_ca_system_score_gemma":0.00017578581,"threshold_uncertainty_score":0.6416981},"labels":[],"label_agreement":null},{"id":"W2033841496","doi":"10.7202/007252ar","title":"Écarts entre prix d’achat et prix de vente d’une variable aléatoire : une clarification","year":2004,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.029631438817477845,"score_gpt":0.2274678447971921,"score_spread":0.19783640597971425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033841496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83462924,0.05651301,0.010218667,0.07356548,0.0021893668,0.0009838365,0.0007467033,0.0001690113,0.02098467],"genre_scores_gemma":[0.89411455,0.027421156,0.0084169265,0.005264153,0.00064238324,0.00014308096,0.0006523946,0.00013652368,0.06320884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996606,0.00012349272,0.0013331396,0.001007335,0.000049776685,0.0008802515],"domain_scores_gemma":[0.99766487,0.00014998102,0.0008931425,0.0008838222,0.00007978921,0.00032841248],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011805143,0.0005212356,0.0009401399,0.00036317244,0.00029327118,0.00039229039,0.00045752048,0.0007389208,0.001248292],"category_scores_gemma":[0.00014481666,0.00067653303,0.00051296863,0.00073821866,0.00024538656,0.00097419537,0.00013497863,0.0006211434,0.0014898448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035896206,0.00060487754,0.005124241,0.00013854608,0.0004633375,0.000019063347,0.007352076,0.0051731626,0.00017392155,0.9777709,0.0012310586,0.0019128764],"study_design_scores_gemma":[0.001646319,0.00013786368,0.0051212176,0.0002205892,0.00017787036,0.000032983226,0.0007976818,0.0046149553,0.0019885576,0.518053,0.46630523,0.00090376026],"about_ca_topic_score_codex":0.019122424,"about_ca_topic_score_gemma":0.0025190709,"teacher_disagreement_score":0.46507415,"about_ca_system_score_codex":0.0013431917,"about_ca_system_score_gemma":0.00032478277,"threshold_uncertainty_score":0.9996647},"labels":[],"label_agreement":null},{"id":"W2033865639","doi":"10.1016/j.eneco.2014.06.010","title":"A real options model to evaluate the effect of environmental policies on the oil sands rate of expansion","year":2014,"lang":"en","type":"article","venue":"Energy Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Disability Prevention and Rehabilitation","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oil sands; Investment (military); Natural resource economics; Government (linguistics); Petroleum industry; Oil price; Economics; Environmental impact assessment; Business; Environmental science; Environmental engineering; Monetary economics","score_opus":0.017672860443040582,"score_gpt":0.2091895520176408,"score_spread":0.19151669157460022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033865639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99108475,0.00038178288,0.0000949304,0.0007443644,0.00008561235,0.000045137887,0.00010210267,0.000005581431,0.0074557136],"genre_scores_gemma":[0.9932562,0.0048685917,0.000043430682,0.000286271,0.000057736826,0.000031850952,0.000015513002,0.000016101647,0.001424307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991528,0.00005465273,0.00042561733,0.00020199861,0.000019139234,0.00014582851],"domain_scores_gemma":[0.9990894,0.00020539323,0.00021733539,0.00044007757,0.000004459339,0.0000432989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007624988,0.00013213448,0.0003321236,0.00013043334,0.000107514854,0.000020759264,0.0002393599,0.000050694776,0.000088139066],"category_scores_gemma":[0.000029611052,0.0000872016,0.00021131056,0.00007481115,0.00010467497,0.00005736469,0.00007497283,0.000053723037,0.000038310962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047319914,0.000034234854,0.002077039,0.0000039480005,0.000094347546,2.996663e-8,0.00037771172,0.11139509,0.00060761673,0.8843781,0.0002589982,0.0007255754],"study_design_scores_gemma":[0.0006649189,0.0005254621,0.0036450652,0.00001247017,0.00006512489,4.6790748e-7,0.00012459622,0.92447454,0.017192164,0.04968673,0.0033448366,0.00026360506],"about_ca_topic_score_codex":0.00060811505,"about_ca_topic_score_gemma":0.00010656794,"teacher_disagreement_score":0.83469135,"about_ca_system_score_codex":0.00006522227,"about_ca_system_score_gemma":0.0000061414817,"threshold_uncertainty_score":0.35559782},"labels":[],"label_agreement":null},{"id":"W2034423080","doi":"10.1111/j.1475-3995.2010.00762.x","title":"Project portfolio selection model, a realistic approach","year":2010,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Portfolio; Project portfolio management; Order (exchange); Application portfolio management; Computer science; Selection (genetic algorithm); Operations research; Project management; Modern portfolio theory; Management science; Business; Risk analysis (engineering); Process management; Finance; Economics; Management; Artificial intelligence; Engineering","score_opus":0.14132895153457162,"score_gpt":0.3761149239611663,"score_spread":0.23478597242659469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034423080","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18230203,0.0005976817,0.26782835,0.004895496,0.0015193039,0.0013311188,0.0007746391,0.00012677466,0.5406246],"genre_scores_gemma":[0.9722487,0.00036676813,0.009065549,0.00007283106,0.0001808521,0.00027814446,0.00016454348,0.00001757869,0.017605076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857986,0.000035936035,0.0004747749,0.00041144647,0.00024937553,0.0002486301],"domain_scores_gemma":[0.9993856,0.00009666754,0.000053344196,0.0001532764,0.00025456012,0.000056553185],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015861939,0.000103654216,0.00015550366,0.0013575142,0.00023090917,0.00020038453,0.000289096,0.000119613615,0.0024244771],"category_scores_gemma":[0.00018072629,0.00011391971,0.00010053574,0.0007726807,0.00011961656,0.00047556098,0.000013402159,0.0007399242,0.00016146261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039988496,0.0003901343,0.0019464706,0.000005109492,0.000059251368,0.0000018250206,0.00025845077,0.043764904,0.00047604306,0.95199656,0.0008532684,0.00020797516],"study_design_scores_gemma":[0.00034114902,0.000023048706,0.0020654576,0.0000039671154,0.0000027921024,0.000014862496,0.00008195194,0.9379871,0.000102617305,0.050228015,0.009006491,0.00014256458],"about_ca_topic_score_codex":0.0021628253,"about_ca_topic_score_gemma":0.0010998453,"teacher_disagreement_score":0.90176857,"about_ca_system_score_codex":0.00022089554,"about_ca_system_score_gemma":0.000169795,"threshold_uncertainty_score":0.9984874},"labels":[],"label_agreement":null},{"id":"W2037492274","doi":"10.1016/j.orl.2014.04.005","title":"Stochastic capacity expansion with multiple sources of capacity","year":2014,"lang":"en","type":"article","venue":"Operations Research Letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Tissue expansion; Mathematics; Mathematical optimization; Computer science; Medicine; Surgery","score_opus":0.07668023595771185,"score_gpt":0.26316913896779814,"score_spread":0.1864889030100863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037492274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98217446,0.00016712728,0.015264951,0.0016661282,0.000034259167,0.00017847403,0.0000447572,0.000012932099,0.00045689708],"genre_scores_gemma":[0.99778485,0.00003381948,0.0016348889,0.00017113754,0.000064780594,0.000039877024,0.000017345023,0.000012463444,0.00024086468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989702,0.000073097945,0.00029332904,0.00027844214,0.00012300485,0.00026193185],"domain_scores_gemma":[0.99931544,0.0001215457,0.000047221525,0.00033199295,0.000098604825,0.00008521773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008474191,0.00009180071,0.00023183342,0.000410441,0.0003228803,0.0000941461,0.00017846428,0.000041962314,0.00015300098],"category_scores_gemma":[0.0002602409,0.0000803263,0.00006827267,0.0004242002,0.00034573756,0.00023127996,0.00004001675,0.00020357934,0.00017138451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006988197,0.00052750926,0.06515288,0.00008439543,0.00030526164,0.0000029513624,0.0076838974,0.31336176,0.030270472,0.5790989,0.0030005593,0.00044155438],"study_design_scores_gemma":[0.0021216501,0.0005726082,0.037352223,0.000082315666,0.000029767667,0.000006914227,0.00085559336,0.9373511,0.010803256,0.0056194547,0.004466128,0.0007390072],"about_ca_topic_score_codex":0.0045346012,"about_ca_topic_score_gemma":0.0014461942,"teacher_disagreement_score":0.62398934,"about_ca_system_score_codex":0.00006220725,"about_ca_system_score_gemma":0.000012443359,"threshold_uncertainty_score":0.6854991},"labels":[],"label_agreement":null},{"id":"W2038509851","doi":"10.1002/cjas.130","title":"Valuing software service development in support of business‐to‐consumer services","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Service (business); Software; Revenue; Software as a service; Services computing; Business value; Software development; Business; Business model; Value (mathematics); Industrial organization; Computer science; Process management; Marketing; Economics; Finance; Web service; World Wide Web; Human capital; Economic growth","score_opus":0.08681778655292272,"score_gpt":0.28251549549931754,"score_spread":0.19569770894639482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038509851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99529886,0.00043830334,0.00023376534,0.0012508186,0.00047572373,0.00013755966,0.00007365885,0.000003975441,0.0020873342],"genre_scores_gemma":[0.97632533,0.000026410737,0.023027742,0.0004194772,0.00006916518,0.0000059668655,0.0000071824975,0.000008158072,0.0001105494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976707,0.000033214164,0.0011300076,0.0004081554,0.000100990124,0.0006569204],"domain_scores_gemma":[0.9976105,0.00008733755,0.00082721433,0.00016047953,0.00041562482,0.00089883554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270413,0.00019629515,0.00043934915,0.0013656798,0.0005810309,0.0002812085,0.0008733748,0.00010495958,0.00031505557],"category_scores_gemma":[0.0005078259,0.00020131515,0.000085966836,0.0028530194,0.0012610648,0.00091609865,0.000020894353,0.00022729943,0.000021463842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003893298,0.0001442592,0.7322236,0.00030568615,0.00007885621,0.00029271332,0.059457287,0.0020754223,0.0024179427,0.20147473,0.0001805269,0.0013100646],"study_design_scores_gemma":[0.0009672746,0.0033698203,0.8466985,0.0005736879,0.00007001207,0.0011530074,0.018560862,0.0027419615,0.007690867,0.09161696,0.02497033,0.0015866942],"about_ca_topic_score_codex":0.020740846,"about_ca_topic_score_gemma":0.86334777,"teacher_disagreement_score":0.8426069,"about_ca_system_score_codex":0.0003382448,"about_ca_system_score_gemma":0.004769132,"threshold_uncertainty_score":0.9857801},"labels":[],"label_agreement":null},{"id":"W2038544490","doi":"10.1007/s10479-009-0599-z","title":"Pricing swing options with regime switching","year":2009,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Swing; Gasoline; Flexibility (engineering); Variable (mathematics); Electricity; Markov chain; Process (computing); Computer science; Economics; Wholesale market; Theory of computation; Econometrics; Mathematical optimization; Mathematics; Engineering; Electrical engineering; Algorithm","score_opus":0.24639512695006832,"score_gpt":0.39389053820586967,"score_spread":0.14749541125580135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038544490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94496167,0.008109907,0.002366562,0.013675343,0.000026640431,0.00024835978,0.0000144718,0.000025484156,0.030571543],"genre_scores_gemma":[0.9914883,0.0038584494,0.0019940482,0.00022665718,0.00006014235,0.000011155076,0.0000134980355,0.000008301257,0.002339493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999012,0.00003777138,0.0003481347,0.00023162135,0.00009970212,0.00027080142],"domain_scores_gemma":[0.999346,0.00006734115,0.000043671764,0.00029487343,0.00017542453,0.00007265424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014927078,0.000072563664,0.00020155196,0.00063722907,0.00040053466,0.00014959341,0.00017525497,0.000041233954,0.00018104559],"category_scores_gemma":[0.00020281435,0.00006648682,0.00007735347,0.0008439313,0.00005286626,0.00042031816,0.0000272303,0.00019751095,0.00015981476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013441734,0.00014343046,0.000939004,0.0000059156346,0.000058057547,0.0000030930885,0.0009631279,0.0059384424,0.0007183767,0.98932713,0.00097248313,0.0009174992],"study_design_scores_gemma":[0.0022927462,0.003637065,0.12302728,0.00044446197,0.000054316228,0.000031326854,0.0050144414,0.41784212,0.026819903,0.36185193,0.057069838,0.0019145776],"about_ca_topic_score_codex":0.0006425983,"about_ca_topic_score_gemma":0.00012137968,"teacher_disagreement_score":0.6274752,"about_ca_system_score_codex":0.000021284974,"about_ca_system_score_gemma":0.000035350982,"threshold_uncertainty_score":0.3080629},"labels":[],"label_agreement":null},{"id":"W2042050358","doi":"10.1016/j.enpol.2012.05.070","title":"Evaluation and optimization of feed-in tariffs","year":2012,"lang":"en","type":"article","venue":"Energy Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental economics; Tariff; Renewable energy; Feed-in tariff; Valuation (finance); Economics; Incentive; Electricity; Payment; Microeconomics; Business; Energy policy; Finance; Engineering","score_opus":0.03150447046496918,"score_gpt":0.25233536278232516,"score_spread":0.22083089231735598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042050358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8401309,0.07154985,0.00795482,0.0013607282,0.00030837016,0.00015013893,0.00003580042,0.00002620531,0.078483135],"genre_scores_gemma":[0.9967836,0.0017774942,0.00072742614,0.000090301015,0.00012094145,0.000007308946,0.000016411615,0.000005496476,0.00047103348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995744,0.000009312885,0.00020330049,0.0000799472,0.000027236756,0.000105805724],"domain_scores_gemma":[0.9997534,0.000009127624,0.00010739949,0.000081000864,0.000014931945,0.000034147626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036863596,0.000045433026,0.0001223944,0.00033451364,0.000016417043,0.0000078718485,0.000030308442,0.000039389193,0.00015114677],"category_scores_gemma":[0.00006027072,0.00004943193,0.00002950749,0.00024307387,0.000020409074,0.00015765507,0.000015194799,0.000018276136,0.000008984598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013923645,0.000040234198,0.017901482,0.0000021494309,0.000017975519,2.5207386e-8,0.0003264481,0.01624758,0.000014964539,0.9643095,0.000070340844,0.0010678865],"study_design_scores_gemma":[0.0011569422,0.00005194958,0.12662584,0.000011659006,0.00004944118,0.0000018642448,0.0001211948,0.7137066,0.0007922231,0.14806928,0.009074518,0.00033851125],"about_ca_topic_score_codex":0.004831795,"about_ca_topic_score_gemma":0.00010088089,"teacher_disagreement_score":0.81624025,"about_ca_system_score_codex":0.00005746347,"about_ca_system_score_gemma":0.000010739794,"threshold_uncertainty_score":0.7304261},"labels":[],"label_agreement":null},{"id":"W2042234687","doi":"10.1108/15265940910938233","title":"Corporate risk management and investment decisions","year":2009,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Downside risk; Capital budgeting; Investment decisions; Capital allocation line; Investment (military); Risk management; Corporate finance; Venture capital; Economics; Financial risk; Investment strategy; Economic capital; Actuarial science; Business; Finance; Expected utility hypothesis; Financial risk management; Risk analysis (engineering); Microeconomics; Financial economics; Portfolio","score_opus":0.030700412527353158,"score_gpt":0.20999086053740107,"score_spread":0.1792904480100479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042234687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9192379,0.0754955,0.0019290181,0.00049583375,0.00017550954,0.00009641692,0.000041361214,0.000006074017,0.0025223978],"genre_scores_gemma":[0.73821574,0.25710952,0.0035395105,0.00035214185,0.00006453812,8.213949e-7,8.2047546e-7,0.000006545731,0.00071037194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989212,0.00004393173,0.0006580794,0.00013565988,0.00006823352,0.00017288241],"domain_scores_gemma":[0.997048,0.0001094683,0.0024585736,0.00028111253,0.000037615304,0.000065192056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011906959,0.0001280022,0.0003354622,0.00020531967,0.0002189084,0.00004842871,0.00027300074,0.000038664173,0.000025970297],"category_scores_gemma":[0.000116670344,0.0000893796,0.0001411123,0.0002998211,0.00008594923,0.00018009443,0.00004283707,0.00024229064,0.000083871455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106537,0.00016778926,0.03585843,0.0000031192444,0.0002135724,0.00002816234,0.0010982017,0.001811096,0.0000035791263,0.9333188,0.009501414,0.017889323],"study_design_scores_gemma":[0.0004967928,0.00016752063,0.28439185,0.000024285624,0.0001098392,0.000019412493,0.00009789772,0.0012685324,0.000021838103,0.69720054,0.016083617,0.00011789899],"about_ca_topic_score_codex":0.00005259103,"about_ca_topic_score_gemma":0.00001332316,"teacher_disagreement_score":0.24853343,"about_ca_system_score_codex":0.00004341368,"about_ca_system_score_gemma":0.000007152479,"threshold_uncertainty_score":0.36447945},"labels":[],"label_agreement":null},{"id":"W2044007539","doi":"10.5267/j.msl.2012.06.018","title":"A system dynamic investigation on Iranian electricity industry","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity; Computer science; Business; Operations management; Industrial organization; Economics; Engineering; Electrical engineering","score_opus":0.025266577440163973,"score_gpt":0.20971872523356458,"score_spread":0.1844521477934006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044007539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838216,0.00024760538,0.0006533184,0.0025206532,0.00041726333,0.00020420227,0.0000044063936,0.00006868007,0.012062272],"genre_scores_gemma":[0.99530613,0.00002674435,0.0003409917,0.0036761824,0.000060949198,0.00002110284,0.0000047905355,0.000008923733,0.00055415806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99875265,0.000010558193,0.00028095607,0.0003621855,0.0001231789,0.00047048845],"domain_scores_gemma":[0.999365,0.000008291231,0.00017801717,0.00030564834,0.0000043571945,0.00013869634],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00088774326,0.0001228601,0.00015909904,0.0007542522,0.00026161026,0.00013525371,0.00033626662,0.00005158392,0.000044183573],"category_scores_gemma":[0.000011303262,0.00012622132,0.00006802187,0.0013283711,0.00017923971,0.0005822565,0.00006791847,0.0001643032,0.00093955547],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028717304,0.00005769641,0.17749913,0.000040395353,0.000038590762,0.000003761591,0.00039182146,0.00019731434,0.00040487526,0.8195297,0.0014612593,0.00037254143],"study_design_scores_gemma":[0.0006469479,0.000054443437,0.95991194,0.000065963555,0.000050601266,0.000003162633,0.00069909735,0.030025799,0.00076445343,0.0029857177,0.00410056,0.00069129077],"about_ca_topic_score_codex":0.000069680544,"about_ca_topic_score_gemma":0.0000020406503,"teacher_disagreement_score":0.816544,"about_ca_system_score_codex":0.0004572154,"about_ca_system_score_gemma":0.0000020588595,"threshold_uncertainty_score":0.99983835},"labels":[],"label_agreement":null},{"id":"W2045856947","doi":"10.1016/j.bar.2013.03.004","title":"Valuation implications of pharmaceutical companies' R&amp;D regulatory approval notifications","year":2013,"lang":"en","type":"article","venue":"The British Accounting Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Shareholder; Food and drug administration; Business; Valuation (finance); Information leakage; Valuation effects; Event study; Stock (firearms); Leakage (economics); Shareholder value; Finance; Accounting; Actuarial science; Monetary economics; Economics; Corporate governance; Risk analysis (engineering); Computer security","score_opus":0.09162604996050996,"score_gpt":0.29108896515406485,"score_spread":0.19946291519355488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045856947","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24023023,0.73286754,0.0011707975,0.01007345,0.00020064437,0.0014751686,0.00010141885,0.00007978038,0.013800963],"genre_scores_gemma":[0.86280113,0.13250865,0.0008981821,0.0018269111,0.00013419834,0.0002554999,0.00013787195,0.000023813182,0.0014137359],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998789,0.000027161666,0.000737663,0.0002277758,0.000056712706,0.00016169227],"domain_scores_gemma":[0.998845,0.00007128617,0.0004594007,0.0004500392,0.00013535649,0.000038924398],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00087922794,0.00008662782,0.00034261835,0.000047945334,0.00029538386,0.00019994713,0.00030256616,0.000035934292,0.001135781],"category_scores_gemma":[0.00015946521,0.000088321685,0.00018989216,0.00041242645,0.00012973727,0.00024628796,0.00005314024,0.000106894004,0.0013506352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011940948,0.0003142576,0.017631482,0.00142394,0.00027236674,1.8244728e-7,0.00017701455,0.00004849694,0.00028575462,0.81571466,0.10028818,0.063842446],"study_design_scores_gemma":[0.00039534806,0.0000131471625,0.51053804,0.0012464143,0.00039086258,0.00004534153,0.000058576697,0.005349779,0.000041388354,0.19241846,0.28891382,0.00058884115],"about_ca_topic_score_codex":0.0008711102,"about_ca_topic_score_gemma":0.0000487018,"teacher_disagreement_score":0.6232962,"about_ca_system_score_codex":0.000036119196,"about_ca_system_score_gemma":0.000014514772,"threshold_uncertainty_score":0.9997773},"labels":[],"label_agreement":null},{"id":"W2046346762","doi":"10.1080/0013791x.2011.601403","title":"Integrating Real Options with Managerial Cash Flow Estimates","year":2011,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cash flow; Cash flow forecasting; Discounted cash flow; Operating cash flow; Terminal value; Business; Cash management; Flow (mathematics); Computer science; Finance; Mathematics","score_opus":0.02221764537896804,"score_gpt":0.17267637595552685,"score_spread":0.1504587305765588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046346762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9138054,0.0038363796,0.012264178,0.00035204273,0.0009453582,0.00035843538,0.00011857211,0.00035755418,0.06796205],"genre_scores_gemma":[0.97473806,0.0006477001,0.022884252,0.00004511714,0.00024851435,0.000051855746,0.000026948179,0.000046587844,0.0013109753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993122,0.000002126946,0.00027701567,0.00020360152,0.00001141998,0.00019361297],"domain_scores_gemma":[0.9995265,0.00003113991,0.00010600161,0.00027650956,0.00000773265,0.00005212081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018309192,0.00013914224,0.000228588,0.000101636964,0.00010679715,0.00007732603,0.00019468679,0.000037744176,0.0003681783],"category_scores_gemma":[0.000017565812,0.000110477595,0.00008620416,0.000102013226,0.000046721358,0.00015366933,0.000035558525,0.00010287,0.00030027475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011238173,0.000023391056,0.0020448912,0.000011785926,0.00016672714,0.00000449117,0.0008831819,0.012246151,0.000010567436,0.9842895,0.00019733497,0.00011069585],"study_design_scores_gemma":[0.00079626497,0.00013438419,0.025660148,0.00003833804,0.00009787982,0.000025400208,0.0003895974,0.93382007,0.0003848953,0.031545386,0.006271452,0.00083617895],"about_ca_topic_score_codex":0.0010512817,"about_ca_topic_score_gemma":0.000099968194,"teacher_disagreement_score":0.9527442,"about_ca_system_score_codex":0.000061528764,"about_ca_system_score_gemma":0.0000057837874,"threshold_uncertainty_score":0.45051455},"labels":[],"label_agreement":null},{"id":"W2049347841","doi":"10.1111/j.1530-9134.2008.00178.x","title":"<scp>Stacking the Deck: Idling and Reactivation of Capacity in Offshore Drilling</scp>","year":2008,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lease; Drilling; Deck; Submarine pipeline; Drilling rig; Offshore drilling; Petroleum engineering; Fossil fuel; Natural gas; Business; Engineering; Waste management; Finance; Mechanical engineering; Structural engineering; Geotechnical engineering","score_opus":0.08263728953529219,"score_gpt":0.21706626899687584,"score_spread":0.13442897946158366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049347841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98974556,0.002576655,0.00021269146,0.00015767818,0.000119411015,0.000108782544,0.000006823884,0.0000027364342,0.0070696925],"genre_scores_gemma":[0.97948885,0.019641861,0.00051890104,0.00006756931,0.00007930952,0.0000019620693,0.0000026891862,0.000011804334,0.00018702488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99845284,0.000017136772,0.0011443135,0.0001771083,0.00003082525,0.0001777838],"domain_scores_gemma":[0.998314,0.000100376084,0.0013344338,0.00016668194,0.000035844245,0.00004866618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008926337,0.00012788843,0.00043215186,0.0004803111,0.00009055189,0.00005607077,0.00019642017,0.00005818021,0.000013090054],"category_scores_gemma":[0.000039189523,0.00011594405,0.00015158759,0.0001885392,0.000090813046,0.00044442766,0.00004696381,0.00018314712,0.0000051950647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017640661,0.00014839966,0.18171003,0.000058751164,0.0004832894,0.000020753027,0.001800686,0.01947893,0.000042192918,0.79510653,0.0005110807,0.00062170863],"study_design_scores_gemma":[0.001991429,0.00024071823,0.5870044,0.000102126745,0.00012184115,0.000061271254,0.0048384108,0.031561173,0.0005684317,0.3622778,0.010970284,0.00026211073],"about_ca_topic_score_codex":0.00012928102,"about_ca_topic_score_gemma":0.000092315364,"teacher_disagreement_score":0.43282872,"about_ca_system_score_codex":0.00010965508,"about_ca_system_score_gemma":0.000015285746,"threshold_uncertainty_score":0.4728061},"labels":[],"label_agreement":null},{"id":"W2051123918","doi":"10.2139/ssrn.970837","title":"SEO Risk Dynamics","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business","score_opus":0.0069887109125567415,"score_gpt":0.19259454368647255,"score_spread":0.18560583277391582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051123918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7970088,0.16054478,0.016027747,0.004099247,0.00047741664,0.00013738901,0.00005063293,0.00007803597,0.02157591],"genre_scores_gemma":[0.89899623,0.09419807,0.00011588255,0.0002047692,0.0002275059,8.2284373e-7,0.000009793175,0.000012137108,0.00623479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979787,0.0000150806545,0.00042159596,0.00020599614,0.000042863358,0.0013357637],"domain_scores_gemma":[0.99934465,0.00001190428,0.00036246836,0.00017651003,0.00002197265,0.000082468265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011269965,0.00012994313,0.00026162885,0.00024068556,0.00022257544,0.000091117654,0.00022806133,0.00007476765,0.00012678152],"category_scores_gemma":[0.000040979787,0.00012902073,0.00026331499,0.0002549265,0.000024729476,0.00021850882,0.000012781317,0.0011100414,0.0004948912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007971768,0.00005823631,0.008194274,4.4684114e-7,0.000123325,0.0000016084012,0.000054853816,0.000050163886,0.0000016032926,0.98513335,0.00016446567,0.0062096766],"study_design_scores_gemma":[0.00033024905,0.0002321862,0.0064792284,0.0000020572427,0.0000261323,0.000053173233,0.0002578077,0.0070662736,0.000003787626,0.98308104,0.0022911998,0.00017685014],"about_ca_topic_score_codex":0.00015292701,"about_ca_topic_score_gemma":0.0006714875,"teacher_disagreement_score":0.10198739,"about_ca_system_score_codex":0.00096271036,"about_ca_system_score_gemma":0.00013279598,"threshold_uncertainty_score":0.63609904},"labels":[],"label_agreement":null},{"id":"W2052557802","doi":"10.1007/s10490-007-9066-z","title":"Real options and MNE strategies in Asia Pacific","year":2007,"lang":"en","type":"article","venue":"Asia Pacific Journal of Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multinational corporation; Asia pacific; Investment (military); Business; International trade; Industrial organization; Foreign direct investment; Economics; Finance; Macroeconomics","score_opus":0.019491371460135097,"score_gpt":0.23221271241901237,"score_spread":0.21272134095887726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052557802","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47497842,0.021088306,0.0019105063,0.0018511459,0.0005436132,0.00025969508,0.000013155777,0.000019428815,0.49933574],"genre_scores_gemma":[0.9663092,0.029382598,0.0018557296,0.000010811567,0.00008002469,0.000002087615,0.00000420927,0.000011711778,0.0023436549],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986001,0.000014616092,0.00085277547,0.00019554737,0.000076931705,0.00026000346],"domain_scores_gemma":[0.9992215,0.000026264332,0.00045034374,0.00017628375,0.000026882768,0.000098701305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013455811,0.00013315862,0.00034724243,0.0008842355,0.00006722531,0.00016595374,0.00014551934,0.000056883735,0.00011384544],"category_scores_gemma":[0.0000069293073,0.0001309214,0.00013489909,0.00038216775,0.00006874442,0.00045678692,0.00004326941,0.00016880812,0.00006016582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031848434,0.00013743372,0.016347151,0.000024140934,0.00019887669,0.00014681899,0.000674553,0.000088046676,0.0000136269755,0.9789311,0.0013898141,0.0020165518],"study_design_scores_gemma":[0.0020825032,0.00035738564,0.53107804,0.00009391826,0.00012896513,0.0000703313,0.08749206,0.00055873254,0.000047231577,0.30951408,0.068011336,0.0005654083],"about_ca_topic_score_codex":0.000055738925,"about_ca_topic_score_gemma":0.00006193114,"teacher_disagreement_score":0.6694171,"about_ca_system_score_codex":0.00010650109,"about_ca_system_score_gemma":0.00000855061,"threshold_uncertainty_score":0.53388196},"labels":[],"label_agreement":null},{"id":"W2052633554","doi":"10.1080/0013791x.2014.962719","title":"Using Copula Functions in Bayesian Analysis: A Comparison of the Lognormal Conjugate","year":2014,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; Brock University","funders":"","keywords":"Copula (linguistics); Bayesian probability; Econometrics; Log-normal distribution; Computer science; Economics; Mathematics; Statistics; Artificial intelligence","score_opus":0.030933966494939888,"score_gpt":0.22525718930262137,"score_spread":0.1943232228076815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052633554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97272706,0.0019500906,0.02247467,0.0002966888,0.00034787244,0.0001223101,0.0000613634,0.000021676173,0.0019982585],"genre_scores_gemma":[0.9994544,0.000017747512,0.00018578292,0.000037259633,0.000060738173,0.0000045283555,0.000012832102,0.000011122735,0.00021560317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906176,0.0000137066045,0.0005439818,0.0002003419,0.000017917064,0.00016231129],"domain_scores_gemma":[0.99905056,0.000058197904,0.00024232939,0.00061127567,0.0000072820358,0.000030376616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811118,0.00010433154,0.00040905297,0.00021262921,0.00007515763,0.000036488324,0.00039224865,0.000044285047,0.000081891376],"category_scores_gemma":[0.000044402223,0.00008213016,0.00017901254,0.00046428727,0.000053316835,0.00009518906,0.00009351001,0.0001262107,0.00002112267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031426084,0.000029475366,0.17182228,0.000009967901,0.00029821595,7.238067e-8,0.00019635938,0.73823816,0.000016358017,0.08929982,0.000053582527,0.000032560994],"study_design_scores_gemma":[0.00015751168,0.0000066823413,0.037527554,0.000005576703,0.00011028352,3.979828e-7,0.00005445044,0.9591852,0.0000396623,0.00091210235,0.001896883,0.00010368554],"about_ca_topic_score_codex":0.000986581,"about_ca_topic_score_gemma":0.00059690565,"teacher_disagreement_score":0.22094704,"about_ca_system_score_codex":0.000059785267,"about_ca_system_score_gemma":0.000007293217,"threshold_uncertainty_score":0.33491704},"labels":[],"label_agreement":null},{"id":"W205287083","doi":"10.7202/1092510ar","title":"Évaluation de projets : la valeur actualiséenette optimisée (VAN-O)","year":2006,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.051449165557462914,"score_gpt":0.26717072192643465,"score_spread":0.21572155636897172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W205287083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6602137,0.20209983,0.005907094,0.02175928,0.0010313478,0.00045989922,0.00040934962,0.00019423927,0.10792524],"genre_scores_gemma":[0.84784395,0.091463655,0.015700996,0.00031208244,0.0004514555,0.00006802681,0.0003168677,0.00005188065,0.043791067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976084,0.0003570925,0.0008192657,0.00057707686,0.00012645168,0.0005116949],"domain_scores_gemma":[0.99858224,0.00037488912,0.0005080226,0.00033029803,0.00011584091,0.00008870491],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001865408,0.00032995755,0.0005187971,0.00035627373,0.00024108856,0.00044425428,0.00023042908,0.00036195284,0.00060071703],"category_scores_gemma":[0.00025268484,0.00039393132,0.0003142768,0.0004992841,0.00038883966,0.0010950548,0.0000462132,0.00029832154,0.00041590224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068464105,0.0008517397,0.09942075,0.00034789272,0.0004963913,0.00004726929,0.003940158,0.28311494,0.0001532502,0.4281437,0.061189502,0.12222593],"study_design_scores_gemma":[0.0008127646,0.00016629283,0.28932095,0.00029142105,0.0002447503,0.000035248897,0.00019265749,0.2685237,0.0011094022,0.26876858,0.16969357,0.0008407016],"about_ca_topic_score_codex":0.0036782639,"about_ca_topic_score_gemma":0.0010709981,"teacher_disagreement_score":0.18990017,"about_ca_system_score_codex":0.00032842893,"about_ca_system_score_gemma":0.000062516774,"threshold_uncertainty_score":0.9998513},"labels":[],"label_agreement":null},{"id":"W2054161365","doi":"10.1007/s00181-005-0243-y","title":"Rejecting the Hotelling Valuation Principle","year":2005,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Valuation (finance); Economics; Econometrics; Heteroscedasticity; Mathematical economics; Microeconomics; Finance","score_opus":0.10765941800612734,"score_gpt":0.2972255602093499,"score_spread":0.1895661422032226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054161365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682997,0.0037843555,0.001746429,0.010419601,0.00027911167,0.00015646314,0.0000148715535,0.0000511574,0.015248334],"genre_scores_gemma":[0.99142605,0.0014878196,0.0017361997,0.002319992,0.00066461234,0.000015056437,0.00001623247,0.000022879232,0.0023111862],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880326,0.000014925546,0.0005949331,0.00032720322,0.000019918418,0.00023975877],"domain_scores_gemma":[0.99922574,0.000087647415,0.00028046357,0.0003229297,0.00001547029,0.00006776792],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000754785,0.00012285289,0.00024729155,0.000108558146,0.0002278218,0.00012616525,0.00022002989,0.00008091295,0.00033795208],"category_scores_gemma":[0.00009283469,0.00010871373,0.000193919,0.00015668978,0.000044004217,0.0002554625,0.00006310538,0.00016195957,0.0021413893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001236747,0.00010904208,0.04461397,0.000005806953,0.00013805907,5.590249e-7,0.001579489,0.033386063,0.0000060388143,0.9123677,0.00253993,0.0052409815],"study_design_scores_gemma":[0.00031974376,0.000031444684,0.009157913,0.000003155056,0.000020296622,0.00000333451,0.00015094462,0.42291984,0.00018429213,0.14552037,0.42137927,0.0003093981],"about_ca_topic_score_codex":0.00005666422,"about_ca_topic_score_gemma":0.00008741586,"teacher_disagreement_score":0.7668473,"about_ca_system_score_codex":0.00020089102,"about_ca_system_score_gemma":0.000018351291,"threshold_uncertainty_score":0.99863553},"labels":[],"label_agreement":null},{"id":"W2054782303","doi":"10.1139/x06-232","title":"The regeneration decision: a sequential two-option approach","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regeneration (biology); Extension (predicate logic); Value (mathematics); Natural regeneration; Computer science; Operations research; Mathematics; Mathematical optimization; Mathematical economics; Ecology; Statistics; Biology","score_opus":0.09713216513797643,"score_gpt":0.31649770268156485,"score_spread":0.21936553754358842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054782303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95057696,0.022093134,0.012911372,0.0011512968,0.00056204945,0.00014314278,0.000011484116,0.0000024809385,0.012548101],"genre_scores_gemma":[0.99614775,0.000751592,0.00090579054,0.000031346593,0.0006286945,0.0000020674684,0.000006533362,0.0000101766145,0.0015160488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986664,0.00004684635,0.0005695175,0.00013349942,0.00014245191,0.00044127833],"domain_scores_gemma":[0.9987091,0.00017457674,0.00019857488,0.00020566845,0.0002740913,0.0004380134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008116778,0.00006702464,0.00015444955,0.0008673678,0.00064555,0.00032341733,0.00033910983,0.00006587638,0.00008931634],"category_scores_gemma":[0.00043275836,0.000051860792,0.00014918728,0.0005853539,0.00020429817,0.00021233855,0.00001511836,0.00036720943,0.00011152766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000476268,0.000015302134,0.037150677,0.0000028109207,0.000056180103,0.00005036431,0.00029572952,0.000849008,0.000015992968,0.95205647,0.00569771,0.0037621325],"study_design_scores_gemma":[0.0012550952,0.00034869713,0.13255145,0.000033435914,0.00001846175,0.000179053,0.0009119275,0.010076665,0.0002654571,0.64635384,0.20771325,0.00029264818],"about_ca_topic_score_codex":0.008123255,"about_ca_topic_score_gemma":0.18162335,"teacher_disagreement_score":0.3057026,"about_ca_system_score_codex":0.00038959927,"about_ca_system_score_gemma":0.00031109358,"threshold_uncertainty_score":0.99848175},"labels":[],"label_agreement":null},{"id":"W2055733086","doi":"10.2495/sdp-v7-n2-209-220","title":"Advanced technology valuation of the industrial utilization of nanotechnology","year":2012,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Nanotechnology; Engineering; Environmental science; Business; Materials science; Accounting","score_opus":0.06341399478224656,"score_gpt":0.26372203712936504,"score_spread":0.20030804234711846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055733086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909298,0.0065978053,0.001378562,0.00034241148,0.0004153225,0.00005791711,0.0000022087002,0.00000285445,0.00027313965],"genre_scores_gemma":[0.998538,0.00017602,0.00096391235,0.000015314912,0.000054637163,0.0000016524392,0.0000034018944,0.0000036595873,0.00024336875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991771,0.000008431964,0.0005688473,0.00005518359,0.00007996395,0.0001104568],"domain_scores_gemma":[0.99873936,0.000026895,0.00089836586,0.00004876562,0.00026837562,0.000018237944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005277813,0.00005619501,0.00018021034,0.00063679233,0.000042417527,0.000009176493,0.00018140298,0.000089591886,0.000020745594],"category_scores_gemma":[0.00028328842,0.00004631461,0.000044286895,0.00028579155,0.00005567505,0.00025525925,0.00007320081,0.00010138168,7.8525864e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006544045,0.00007904023,0.41756848,0.000017167227,0.00026569297,0.000006162477,0.0037471899,0.00039215648,0.00030771844,0.5703003,0.00009432979,0.0071563763],"study_design_scores_gemma":[0.00657778,0.00036679514,0.30963415,0.0006233804,0.00015479949,0.00014374264,0.08522468,0.0016895436,0.19758365,0.27391943,0.123326875,0.00075515755],"about_ca_topic_score_codex":0.000008122858,"about_ca_topic_score_gemma":3.482373e-7,"teacher_disagreement_score":0.29638082,"about_ca_system_score_codex":0.000075531025,"about_ca_system_score_gemma":0.000053768483,"threshold_uncertainty_score":0.1888655},"labels":[],"label_agreement":null},{"id":"W2058510223","doi":"10.3905/jod.2006.635422","title":"Executive Stock Options and Concavity of the Option Price","year":2006,"lang":"en","type":"article","venue":"The Journal of Derivatives","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Vesting; Stock options; Maturity (psychological); Put option; Binary option; Strike price; Black–Scholes model; Call option; Economics; Stock (firearms); Actuarial science; Expiration date; Valuation of options; Econometrics; Asian option; Finance; Volatility (finance)","score_opus":0.021789322669345537,"score_gpt":0.21666806214700957,"score_spread":0.19487873947766404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058510223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98578125,0.010339212,0.0011180978,0.0009269906,0.00006600414,0.00006443033,0.000014486568,0.000001561374,0.0016879918],"genre_scores_gemma":[0.99733204,0.0017192124,0.00027614,0.000036235288,0.000051962124,6.188874e-7,4.4269524e-7,0.0000035976511,0.00057978136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994476,0.000039620623,0.0003619883,0.00004849878,0.000035955596,0.00006637271],"domain_scores_gemma":[0.9990025,0.00009164632,0.00073812547,0.00009748946,0.00005410286,0.000016106302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039397707,0.000055876848,0.00018280269,0.00007073995,0.00010485263,0.000015584217,0.00013219292,0.00002313492,0.000022623277],"category_scores_gemma":[0.000048728998,0.000032204407,0.000094231335,0.00017838767,0.00018893575,0.00015924445,0.0000365681,0.00009531927,0.0000022258275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038283273,0.00012707834,0.047619075,0.0000106399475,0.000191968,4.5901388e-7,0.003068737,0.00061771314,0.0033544998,0.94403005,0.0008450051,0.00009647859],"study_design_scores_gemma":[0.0004328919,0.000109512206,0.78597933,0.00002549519,0.00006157788,0.000015702944,0.0010278592,0.0010275926,0.0034256426,0.20614989,0.0016500946,0.00009439895],"about_ca_topic_score_codex":0.000093339484,"about_ca_topic_score_gemma":0.000012149277,"teacher_disagreement_score":0.7383603,"about_ca_system_score_codex":0.00002369938,"about_ca_system_score_gemma":0.000009645743,"threshold_uncertainty_score":0.13132575},"labels":[],"label_agreement":null},{"id":"W2059426507","doi":"10.1108/17439131211201013","title":"New venture start‐ups and technological innovation","year":2012,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commercialization; Venture capital; Revenue; Earnings; Investment (military); Business; Start up; Business model; Earnings before interest and taxes; Economics; Value (mathematics); Entrepreneurship; Industrial organization; Finance; Marketing; Business administration; Computer science","score_opus":0.024549994519585488,"score_gpt":0.23393313623679524,"score_spread":0.20938314171720976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059426507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95830494,0.018460345,0.012490046,0.0046440614,0.0031043056,0.000070271,0.000025235086,0.000015762887,0.0028850448],"genre_scores_gemma":[0.9920623,0.002468382,0.0033234907,0.0001970619,0.00094872125,8.9986645e-7,0.0000052859655,0.0000063854136,0.0009874996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920475,0.0000060466077,0.0005023983,0.00009357714,0.00007393804,0.00011925538],"domain_scores_gemma":[0.9992406,0.000017491202,0.0005608498,0.00007229268,0.000075093834,0.000033690907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039730454,0.000077684716,0.0001930711,0.00037455495,0.000027999718,0.00006145926,0.0002196836,0.00007001674,0.00018653189],"category_scores_gemma":[0.00013237188,0.00007311813,0.00007149283,0.00022700531,0.000042341715,0.00048430014,0.00006105157,0.00013015285,0.00005410818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044399603,0.00004478592,0.010368461,0.000001987358,0.000091349066,0.000009961273,0.00009309432,0.000023640947,0.00007305009,0.9744451,0.0040969322,0.01070724],"study_design_scores_gemma":[0.0011619957,0.000105696534,0.08040083,0.00003812294,0.000022366783,0.00007310982,0.00007823757,0.00029910295,0.0004964598,0.29956347,0.61750823,0.00025235605],"about_ca_topic_score_codex":0.000021265256,"about_ca_topic_score_gemma":0.0000014753133,"teacher_disagreement_score":0.67488164,"about_ca_system_score_codex":0.000055724053,"about_ca_system_score_gemma":0.000009683539,"threshold_uncertainty_score":0.29816708},"labels":[],"label_agreement":null},{"id":"W2059807718","doi":"10.3166/rfg.175.35-50","title":"L'utilité informationnelle de la charge pour options dans les comptes de résultats","year":2007,"lang":"fr","type":"article","venue":"Revue française de gestion","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.02060689490181019,"score_gpt":0.22861030821586215,"score_spread":0.20800341331405195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059807718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83815944,0.06940973,0.075174786,0.0039272257,0.00053663086,0.00021290485,0.00029580042,0.00007462404,0.012208853],"genre_scores_gemma":[0.949267,0.026037354,0.008198766,0.00018342225,0.00061706046,0.000021594464,0.0002063055,0.000032689386,0.015435766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983894,0.000069078356,0.00070149236,0.00025544746,0.000043405125,0.0005411678],"domain_scores_gemma":[0.99883294,0.0003087778,0.00032935082,0.0002486542,0.000081107486,0.00019919804],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017282431,0.0002061995,0.00033195893,0.00038452097,0.00036192848,0.000119072734,0.0001760896,0.00043662597,0.0009606987],"category_scores_gemma":[0.000437052,0.00028105077,0.0002668015,0.00042295083,0.00016937718,0.00037330814,0.000036987472,0.0003718734,0.001191912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033294935,0.0004424236,0.26209706,0.00028131146,0.00014846213,0.000025543522,0.01978346,0.010828013,0.00048565347,0.68987024,0.0068143504,0.009190162],"study_design_scores_gemma":[0.000785078,0.0000588354,0.44045535,0.0002379112,0.00014364986,0.000079560996,0.001164768,0.3749243,0.00057123095,0.018648744,0.16246343,0.00046715248],"about_ca_topic_score_codex":0.0028345431,"about_ca_topic_score_gemma":0.0005381888,"teacher_disagreement_score":0.6712215,"about_ca_system_score_codex":0.0005787155,"about_ca_system_score_gemma":0.00007523575,"threshold_uncertainty_score":0.9999642},"labels":[],"label_agreement":null},{"id":"W2060399433","doi":"10.1016/j.najef.2007.05.002","title":"Cost of equity for Canadian and U.S. sectors","year":2007,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Brock University","funders":"Concordia University","keywords":"Equity (law); Cost of equity; Economics; Econometrics; Capital asset pricing model; Estimation; Equity risk; Equity premium puzzle; Risk premium; Equity ratio; Financial economics; Equity capital markets; Cost of capital; Finance; Microeconomics; Private equity","score_opus":0.03621987999719319,"score_gpt":0.23743720382752942,"score_spread":0.20121732383033622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060399433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935411,0.004898799,0.0002812963,0.0005582171,0.00011830216,0.000097176664,0.00013428867,7.782256e-7,0.00037000203],"genre_scores_gemma":[0.9784944,0.020466808,0.0006542803,0.00022826152,0.00008229242,0.0000014021111,0.000002093356,0.000008794877,0.000061644256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990816,0.0000038528246,0.0005738706,0.000119265664,0.00001046228,0.00021095562],"domain_scores_gemma":[0.99874246,0.00008411887,0.0009138437,0.00011462633,0.00004076065,0.000104195075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075014605,0.000089888345,0.00041553896,0.00019427911,0.000102861195,0.0000275775,0.00015080419,0.000020817246,0.0000048661623],"category_scores_gemma":[0.000028407043,0.000076666416,0.00010455136,0.00013302614,0.00029038737,0.00010227291,0.000027609545,0.000083826504,0.0000012467394],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017855965,0.00004705144,0.4338601,0.00001987323,0.00027089467,0.000003545976,0.0014127396,0.0012489702,0.0000024583355,0.48331177,0.00033912176,0.07930492],"study_design_scores_gemma":[0.0010087966,0.00086318096,0.8368647,0.000016313044,0.00007038732,0.00004454132,0.0006396863,0.0060653402,0.00006388156,0.04626241,0.10770217,0.0003986062],"about_ca_topic_score_codex":0.008644029,"about_ca_topic_score_gemma":0.06019757,"teacher_disagreement_score":0.43704936,"about_ca_system_score_codex":0.000058612848,"about_ca_system_score_gemma":0.000048997717,"threshold_uncertainty_score":0.99795747},"labels":[],"label_agreement":null},{"id":"W2062709233","doi":"10.1007/s10894-009-9258-2","title":"The Role of Nuclear Power in Reducing Risk of the Fossil Fuel Prices and Diversity of Electricity Generation in Tunisia: A Portfolio Approach","year":2009,"lang":"en","type":"article","venue":"Journal of Fusion Energy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Portfolio; Fossil fuel; Nuclear power; Modern portfolio theory; Electricity; Electricity generation; Nuclear technology; Portfolio optimization; Environmental economics; Time horizon; Economics; Computer science; Power (physics); Financial economics; Engineering; Finance; Waste management; Physics; Nuclear physics","score_opus":0.009396145058011111,"score_gpt":0.17405129176990256,"score_spread":0.16465514671189144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062709233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831274,0.014361765,0.00002323832,0.00009553957,0.000029996867,0.00002430518,0.0000031345178,4.8860625e-7,0.0023341388],"genre_scores_gemma":[0.9849,0.014888671,0.00014076749,0.0000147046185,0.000018542005,1.1849781e-7,3.1066907e-7,0.0000022347035,0.000034668108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99918544,0.000032881893,0.00056064286,0.00007869915,0.000067477704,0.000074841904],"domain_scores_gemma":[0.9986525,0.000023000051,0.0011546006,0.00010485742,0.000044818873,0.000020220425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061997457,0.000053491338,0.00025540253,0.00025752885,0.000071767965,0.0000097854945,0.00014765847,0.000049516937,0.000010817232],"category_scores_gemma":[0.000053100423,0.00003506774,0.00011774724,0.00037156613,0.00003986044,0.00011264449,0.00005909487,0.000103019745,5.6976305e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003505665,0.0013558839,0.3734363,0.000024021876,0.00025295783,0.000004179874,0.007919246,0.012081635,0.01849885,0.5655565,0.00044034302,0.02007949],"study_design_scores_gemma":[0.00083356217,0.0003165908,0.88422704,0.000028161747,0.0000454696,0.000006624616,0.0008387034,0.05079038,0.002597445,0.059063785,0.0011358927,0.000116373754],"about_ca_topic_score_codex":0.0012335319,"about_ca_topic_score_gemma":0.00011174735,"teacher_disagreement_score":0.5107907,"about_ca_system_score_codex":0.000034164063,"about_ca_system_score_gemma":0.00001376318,"threshold_uncertainty_score":0.18647394},"labels":[],"label_agreement":null},{"id":"W2062854310","doi":"10.1111/1467-8462.00290","title":"Executive Stock Options: Back to Basics","year":2003,"lang":"en","type":"article","venue":"Australian Economic Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Executive summary; Business; Economics; Finance","score_opus":0.08255108853283115,"score_gpt":0.28664637380609453,"score_spread":0.20409528527326337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062854310","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023341991,0.5971155,0.0004114181,0.017156687,0.0021146296,0.0033489494,0.0007490577,0.00012542283,0.35563633],"genre_scores_gemma":[0.05020072,0.69215643,0.008596512,0.010799193,0.0003122757,0.00034611532,0.00014667875,0.00012577749,0.2373163],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812895,0.000033661105,0.00092374755,0.0005370054,0.00002054205,0.00035607157],"domain_scores_gemma":[0.99885255,0.000024962592,0.00031831913,0.0005557357,0.00001633703,0.00023210481],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005764192,0.00023045664,0.00073018565,0.00016055959,0.000084570835,0.000074616684,0.00025320778,0.00007533052,0.0114488285],"category_scores_gemma":[0.000063565436,0.00025553195,0.00036053974,0.00023352579,0.00004849761,0.00026969926,0.000031716423,0.00011640451,0.049455564],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013091139,0.000034966644,0.0029825787,0.00015439953,0.00010817828,0.0000016732,0.000046922974,0.000056853416,0.0000010085427,0.85933965,0.1368958,0.00037662414],"study_design_scores_gemma":[0.00017305989,0.000041913943,0.0010466382,0.00019951026,0.000039801926,0.0000068112763,0.00002545704,0.000026110576,0.000033834254,0.020436114,0.97760487,0.0003659005],"about_ca_topic_score_codex":0.00009817076,"about_ca_topic_score_gemma":0.00003247071,"teacher_disagreement_score":0.84070903,"about_ca_system_score_codex":0.00024741745,"about_ca_system_score_gemma":0.000027677877,"threshold_uncertainty_score":0.9999897},"labels":[],"label_agreement":null},{"id":"W2065671100","doi":"10.1080/00137910701676609","title":"New Research Directions in Engineering Economics—Modeling Dependencies with Copulas","year":2007,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; Brock University","funders":"University of British Columbia; Brock University; University of Northern British Columbia; World Bank Group","keywords":"Copula (linguistics); Econometrics; Computer science; Financial engineering; Economics; Financial economics","score_opus":0.045845847500396775,"score_gpt":0.2332590293576164,"score_spread":0.1874131818572196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065671100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9691816,0.0081015425,0.016613806,0.0004705915,0.0004161776,0.00023877852,0.000012362907,0.00010978166,0.004855348],"genre_scores_gemma":[0.9954855,0.000949321,0.0016766398,0.000023218752,0.00023745696,0.000018260362,0.0000063654074,0.000047020618,0.0015562305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858814,0.000005901267,0.00052192155,0.0003427914,0.000028624165,0.0005126195],"domain_scores_gemma":[0.9992347,0.00018036252,0.0000737652,0.00036552417,0.000016762315,0.00012893359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016883448,0.0001760324,0.00031671335,0.0006360448,0.00014219806,0.00013124898,0.00029319362,0.0000785085,0.00010800665],"category_scores_gemma":[0.000073173505,0.00016752262,0.000092440845,0.00040421137,0.0000276673,0.00023308485,0.000059487,0.00043094595,0.00019716084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018721981,0.000023030392,0.0048248894,0.00001959496,0.000100124846,0.0000057056914,0.00068973145,0.6530139,0.000026841723,0.34091324,0.00008716388,0.0002770616],"study_design_scores_gemma":[0.00068096106,0.000051423176,0.0070371465,0.000044311128,0.000012988265,0.00001781638,0.000402955,0.9594279,0.0003108632,0.005622755,0.025837265,0.0005536196],"about_ca_topic_score_codex":0.003712382,"about_ca_topic_score_gemma":0.0023712395,"teacher_disagreement_score":0.3352905,"about_ca_system_score_codex":0.00039737037,"about_ca_system_score_gemma":0.000030675383,"threshold_uncertainty_score":0.6831374},"labels":[],"label_agreement":null},{"id":"W2065752008","doi":"10.1007/s10957-012-0156-9","title":"Cooperating and Non-cooperating Firms in Inventive and Absorptive Research","year":2012,"lang":"en","type":"article","venue":"Journal of Optimization Theory and Applications","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Duopoly; Joint venture; Absorptive capacity; Industrial organization; Investment (military); Business; Microeconomics; Production (economics); Unit (ring theory); Computer science; Economics; Mathematics; Commerce; Cournot competition","score_opus":0.040221879095096405,"score_gpt":0.29345106196955145,"score_spread":0.25322918287445506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065752008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8703577,0.03158675,0.09322488,0.00049275527,0.000046514237,0.00037985292,0.000016569014,0.0000053650956,0.0038896182],"genre_scores_gemma":[0.99085265,0.005062338,0.0036896886,0.00006230411,0.00009577125,0.000019185924,0.0000038566563,0.000006639294,0.00020757875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993383,0.00005210053,0.0003658411,0.00010076658,0.000028191102,0.00011477236],"domain_scores_gemma":[0.9994074,0.00017491872,0.0002039267,0.000055850236,0.00008221645,0.00007566671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020445515,0.000057844165,0.00016730867,0.00025882255,0.00019775705,0.00007701978,0.000041849886,0.000042231135,0.000046968253],"category_scores_gemma":[0.000116235795,0.000053572858,0.000019906063,0.00028416028,0.00010912237,0.00040866583,0.000035600024,0.00015198154,0.0000036379042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019363262,0.0000950934,0.025737451,0.000014767385,0.000040545186,3.8764477e-7,0.003630381,0.005971779,0.000082350605,0.9633227,0.00003892451,0.0010462564],"study_design_scores_gemma":[0.005468169,0.00064775447,0.09146269,0.00035338497,0.00016777728,0.00015710917,0.033650972,0.3401841,0.0016473365,0.51881886,0.006118247,0.0013236338],"about_ca_topic_score_codex":0.000010045566,"about_ca_topic_score_gemma":0.0000026314478,"teacher_disagreement_score":0.44450387,"about_ca_system_score_codex":0.000021946975,"about_ca_system_score_gemma":0.000008569952,"threshold_uncertainty_score":0.21846378},"labels":[],"label_agreement":null},{"id":"W2065906610","doi":"10.1023/b:rege.0000012288.66438.f5","title":"Regulation and Investment under Uncertainty: An Application to Power Grid Interconnection","year":2004,"lang":"en","type":"article","venue":"Journal of Regulatory Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Randomness; Investment (military); Public finance; Grid; Economics; Limit (mathematics); Duration (music); Process (computing); Authorization; Interconnection; Microeconomics; Value (mathematics); Actuarial science; Computer science; Mathematics; Telecommunications; Law; Computer security; Macroeconomics; Politics","score_opus":0.015948500203076876,"score_gpt":0.2171027594293866,"score_spread":0.20115425922630972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065906610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99289554,0.001050517,0.0037513329,0.0012970525,0.0004506686,0.00013314429,0.000011773518,0.000010963241,0.00039900915],"genre_scores_gemma":[0.99682623,0.00035388122,0.0013991914,0.0010369965,0.00025200297,0.0000048251673,0.000009013545,0.000019511173,0.00009835183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882364,0.0000111176205,0.0007533358,0.00024412357,0.000029278763,0.00013850548],"domain_scores_gemma":[0.9987994,0.000012821098,0.0006904815,0.00024129287,0.000056543176,0.00019948994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051457016,0.00013251524,0.00033905238,0.00043734405,0.00007902177,0.000087050095,0.0001240658,0.00009178569,0.000046794117],"category_scores_gemma":[0.000015719941,0.00014268715,0.00012528396,0.00011958702,0.000052125408,0.00064227224,0.000030364323,0.000098764314,0.000048750557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000455461,0.00008531104,0.0016425272,0.000005244287,0.0001058313,5.783458e-7,0.00058103714,0.1215958,0.00035460806,0.8748835,0.00018306283,0.00051696005],"study_design_scores_gemma":[0.0014806432,0.00078021496,0.0771424,0.00002874319,0.000051765684,0.000064706546,0.0008345787,0.007707276,0.0007808329,0.8914659,0.019222612,0.00044029992],"about_ca_topic_score_codex":0.00007694627,"about_ca_topic_score_gemma":0.00009692184,"teacher_disagreement_score":0.113888524,"about_ca_system_score_codex":0.0005426092,"about_ca_system_score_gemma":0.000035916088,"threshold_uncertainty_score":0.5818613},"labels":[],"label_agreement":null},{"id":"W2066611129","doi":"10.2139/ssrn.1722082","title":"Real Options at the Interface of Finance and Operations: Exploiting Embedded Supply Chain Real Options to Gain Competitiveness","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Supply chain; Business; Interface (matter); Industrial organization; Finance; Computer science; Marketing; Operating system","score_opus":0.019222592802033537,"score_gpt":0.2647526509879355,"score_spread":0.24553005818590196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066611129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9375497,0.057693955,0.0023759431,0.0012416698,0.00012437953,0.00015975318,0.00005869529,0.000009946287,0.0007859564],"genre_scores_gemma":[0.8402368,0.15587972,0.00039174585,0.000038335813,0.00014607373,0.00002307003,0.000013096768,0.0000143574325,0.003256817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99835783,0.000056121236,0.00048728366,0.0001788875,0.00005036041,0.00086953025],"domain_scores_gemma":[0.9994302,0.000060325252,0.0002013524,0.00018027234,0.00004899157,0.00007889132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015639788,0.00012859437,0.00026846645,0.00018318715,0.00045343058,0.00006150464,0.00017336656,0.00004957635,0.00012653289],"category_scores_gemma":[0.000043939926,0.00011178137,0.00011871867,0.0002617678,0.000087998225,0.00032157433,0.00008798115,0.00040621444,0.00006823409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014765063,0.00006111126,0.008585131,0.0000031326013,0.00009564658,1.9237604e-7,0.0015133715,0.002363971,0.00045711352,0.9866615,0.00003171028,0.00021234539],"study_design_scores_gemma":[0.005371138,0.002101998,0.17831191,0.00041406282,0.0005029561,0.0008134511,0.07965019,0.045965288,0.006674797,0.6661156,0.011164658,0.0029139672],"about_ca_topic_score_codex":0.0006756027,"about_ca_topic_score_gemma":0.0025346708,"teacher_disagreement_score":0.32054594,"about_ca_system_score_codex":0.000509158,"about_ca_system_score_gemma":0.00010651195,"threshold_uncertainty_score":0.45583123},"labels":[],"label_agreement":null},{"id":"W2068015839","doi":"10.1017/s1931436100000936","title":"What is Making Investment in the Texas Vineyard Industry Tick? A Real Options Analysis of Entry and Exit","year":2010,"lang":"en","type":"article","venue":"Journal of Wine Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Vineyard; Investment (military); Order (exchange); Wine grape; Economics; Wine; Business; Finance; Geography","score_opus":0.028318983071908405,"score_gpt":0.2560487899191447,"score_spread":0.2277298068472363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068015839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903252,0.0032018765,0.000007189184,0.0042101415,0.00033391986,0.00006882432,0.0000339387,0.0000018011746,0.001817085],"genre_scores_gemma":[0.9694633,0.027981099,0.00075147965,0.0010787502,0.00039635564,0.000002250284,0.0000073047086,0.000012164603,0.00030733494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984977,0.00001846626,0.0011093862,0.00017831696,0.0000368654,0.00015922332],"domain_scores_gemma":[0.99842453,0.00008634805,0.0011009509,0.00027728933,0.00003787171,0.00007303027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009734413,0.00013037115,0.0006146968,0.0013976863,0.000044260396,0.00017487234,0.0002681016,0.00017148964,0.00030873317],"category_scores_gemma":[0.00003907526,0.00011127465,0.00032404068,0.00063406525,0.000102407634,0.0006224416,0.000055575107,0.00050009985,0.0000095872465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005807214,0.00046199636,0.62062144,0.000027226533,0.003085766,0.000016631819,0.005066485,0.0032679676,0.000090950285,0.3626427,0.004222062,0.0004386793],"study_design_scores_gemma":[0.001713624,0.00027921697,0.8293914,0.000069887545,0.0014260937,0.000056942285,0.004491009,0.03889208,0.00014369715,0.09576071,0.02724786,0.0005274407],"about_ca_topic_score_codex":0.0001305737,"about_ca_topic_score_gemma":0.0002081998,"teacher_disagreement_score":0.266882,"about_ca_system_score_codex":0.00005746977,"about_ca_system_score_gemma":0.00003084961,"threshold_uncertainty_score":0.45376483},"labels":[],"label_agreement":null},{"id":"W2068990639","doi":"10.1111/j.1745-6622.2001.tb00333.x","title":"VALUING REAL OPTIONS: CAN RISK‐ADJUSTED DISCOUNTING BE MADE TO WORK?","year":2001,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Discounting; Valuation (finance); Actuarial science; Economics; Valuation of options; Certainty; Value (mathematics); Stochastic discount factor; Asian option; Econometrics; Computer science; Mathematics; Capital asset pricing model; Finance","score_opus":0.05736523384698281,"score_gpt":0.2213100917155257,"score_spread":0.1639448578685429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068990639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98771703,0.0033973504,0.0011855244,0.0011473855,0.0003055482,0.00016510248,0.00004636032,0.000019476793,0.006016222],"genre_scores_gemma":[0.9693568,0.022120927,0.0055313664,0.00030375354,0.00039312418,0.000014448575,0.000010957692,0.000035741978,0.0022329201],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980452,0.00001270226,0.0011580647,0.0003141307,0.0001099417,0.00035995178],"domain_scores_gemma":[0.9967288,0.000042769752,0.0027054835,0.0002907216,0.00009733741,0.00013493653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008223604,0.00021369057,0.0006146901,0.0003776153,0.00019967288,0.0001397632,0.00034067812,0.00009728151,0.00012474293],"category_scores_gemma":[0.000045544748,0.00021512134,0.00022591565,0.0012304633,0.000056485973,0.00023680573,0.00006418559,0.00035109645,0.00014950118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005605253,0.00036042137,0.11326609,0.000034116933,0.0004122936,0.00016822352,0.0023656324,0.058475923,0.000862545,0.8103847,0.007022868,0.0060866512],"study_design_scores_gemma":[0.0037688955,0.00050452707,0.41536522,0.0003051731,0.00035008544,0.000101312486,0.0017030222,0.00902453,0.0010158685,0.47153062,0.09421075,0.0021199784],"about_ca_topic_score_codex":0.00022239621,"about_ca_topic_score_gemma":0.00006905624,"teacher_disagreement_score":0.3388541,"about_ca_system_score_codex":0.0001882427,"about_ca_system_score_gemma":0.000043082797,"threshold_uncertainty_score":0.87723935},"labels":[],"label_agreement":null},{"id":"W2069018276","doi":"10.1016/s0165-1889(99)00078-0","title":"Equilibrium with new investment opportunities","year":2001,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; General equilibrium theory; Partial equilibrium; Technological change; Investment (military); Consumption (sociology); Dynamic equilibrium; Microeconomics; Mathematical economics; Macroeconomics; Thermodynamics; Physics","score_opus":0.02749388611065789,"score_gpt":0.2038222556884998,"score_spread":0.1763283695778419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069018276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95868003,0.015889527,0.0035152498,0.0059603225,0.000409128,0.00012557667,0.000058104593,0.000010324075,0.015351725],"genre_scores_gemma":[0.98668635,0.0052350755,0.00024508158,0.0009990175,0.0003686783,0.0000018759804,0.0000053283034,0.000019226041,0.0064393636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99889284,0.0000073982183,0.00071420666,0.0001601316,0.000028007584,0.00019744082],"domain_scores_gemma":[0.9987948,0.0000348589,0.000765599,0.0001446599,0.000025655292,0.00023441538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030625268,0.00014973948,0.0005427791,0.00026977307,0.000038791924,0.00013221691,0.0001459892,0.000055462187,0.00020602721],"category_scores_gemma":[0.000008145017,0.00013044802,0.00015670616,0.000045390698,0.000072845956,0.0003822843,0.000020952346,0.00011319194,0.00002977948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001539869,0.000051211533,0.047378127,0.000006140898,0.00054612226,0.00004150522,0.000122055186,0.00091075496,0.0000075848675,0.9483789,0.0011510662,0.0012525397],"study_design_scores_gemma":[0.0122813145,0.0019940932,0.020689646,0.00007630657,0.00040529782,0.00083098956,0.001395503,0.4138669,0.00001443229,0.48189053,0.0654389,0.0011160701],"about_ca_topic_score_codex":0.00019882566,"about_ca_topic_score_gemma":0.00020168567,"teacher_disagreement_score":0.46648836,"about_ca_system_score_codex":0.0001648659,"about_ca_system_score_gemma":0.0000807631,"threshold_uncertainty_score":0.5319516},"labels":[],"label_agreement":null},{"id":"W2070661580","doi":"10.1257/aer.104.2.609","title":"Time Allocation and Task Juggling","year":2014,"lang":"en","type":"article","venue":"American Economic Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Task (project management); Economics; Phenomenon; Microeconomics; Labour economics; Computer science; Business; Management","score_opus":0.012155357405082123,"score_gpt":0.21831156067166935,"score_spread":0.20615620326658723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070661580","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26843578,0.6514823,0.0006088482,0.009515003,0.00028208067,0.0006038702,0.000054529668,0.000116280215,0.06890134],"genre_scores_gemma":[0.4493703,0.542127,0.00072027,0.005384218,0.00017115279,0.000037775193,0.000050889535,0.000030425457,0.002107947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899054,0.000019398112,0.0004980586,0.0003274013,0.000010569156,0.00015403901],"domain_scores_gemma":[0.99916106,0.000041260562,0.00043776134,0.00027513702,0.000006568214,0.00007819135],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004806473,0.00011845661,0.00058631116,0.000085277,0.000051423518,0.000034932913,0.000114400755,0.000018217488,0.00043016064],"category_scores_gemma":[0.000045324407,0.00012582167,0.000116021234,0.00009405205,0.00015209136,0.00014195798,0.000034308185,0.000050633258,0.005056646],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004581922,0.000052011583,0.009092488,0.00046770737,0.000282987,6.933005e-7,0.00020928035,0.00008218985,0.000029535962,0.77868974,0.021591183,0.18949762],"study_design_scores_gemma":[0.00021739774,0.000099462726,0.0040275436,0.00018909574,0.00007624689,0.000006064171,0.000023903067,0.028335622,0.000008562234,0.013690437,0.9528348,0.0004908684],"about_ca_topic_score_codex":0.00025815162,"about_ca_topic_score_gemma":0.000013649018,"teacher_disagreement_score":0.9312436,"about_ca_system_score_codex":0.00006021673,"about_ca_system_score_gemma":0.000006744521,"threshold_uncertainty_score":0.99571806},"labels":[],"label_agreement":null},{"id":"W2072038469","doi":"10.1057/jibs.2010.25","title":"Flexibility versus commitment: MNEs’ ownership strategy in China","year":2010,"lang":"en","type":"article","venue":"Journal of International Business Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":158,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multinational corporation; Industrial organization; International business; Foreign direct investment; China; Business; Flexibility (engineering); Equity (law); Market share; Foreign ownership; Competition (biology); Economics; Emerging markets; Market economy; Marketing; Finance","score_opus":0.085965907242624,"score_gpt":0.3100106787529162,"score_spread":0.22404477151029223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072038469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775534,0.008683473,0.00002652177,0.0036622984,0.0032592425,0.000047214213,0.000020208028,0.0000053399763,0.006742288],"genre_scores_gemma":[0.9944564,0.004390703,0.00020083216,0.00005221051,0.00040661273,0.0000030016781,0.000004919055,0.000007142885,0.00047819433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99888074,0.00001001612,0.0007472929,0.00014578186,0.00008989651,0.00012626637],"domain_scores_gemma":[0.9988411,0.00008574309,0.00061216456,0.00011807695,0.00030525445,0.000037667258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006128219,0.00011644015,0.00038684122,0.00042654286,0.000051860803,0.00005776315,0.00027605164,0.000050946313,0.0002404011],"category_scores_gemma":[0.000549521,0.00009561287,0.00014915782,0.00029240834,0.000107078085,0.00038950643,0.00006389288,0.00026008024,0.00004069842],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055093295,0.00072659476,0.4326434,0.000048831043,0.001621477,0.000067544366,0.0013758306,0.0020782806,0.00019075784,0.5567976,0.002708651,0.0011900762],"study_design_scores_gemma":[0.0021144494,0.000086794425,0.9108073,0.0000383484,0.000028638044,0.000014235022,0.00072310603,0.0008174047,0.00008993501,0.07872934,0.0063427314,0.0002076983],"about_ca_topic_score_codex":0.00016040691,"about_ca_topic_score_gemma":0.0005317397,"teacher_disagreement_score":0.47816393,"about_ca_system_score_codex":0.00013075807,"about_ca_system_score_gemma":0.000022181848,"threshold_uncertainty_score":0.38989797},"labels":[],"label_agreement":null},{"id":"W2073003250","doi":"10.1108/00215010380001142","title":"Optimal investment in an automatic milking system: an application of real options","year":2002,"lang":"en","type":"article","venue":"Agricultural Finance Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bunge (Canada)","funders":"","keywords":"Depreciation (economics); Investment (military); Loan; Milking; Consumption of fixed capital; Investment decisions; Economics; Capital (architecture); Business; Capital investment; Finance; Microeconomics; Capital formation; Financial capital","score_opus":0.03633774778190216,"score_gpt":0.24123377444595642,"score_spread":0.20489602666405426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073003250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65765965,0.3395409,0.000028140523,0.00022988836,0.000047833568,0.00055117486,0.000027186798,0.000042755353,0.0018724637],"genre_scores_gemma":[0.6558523,0.3408825,0.0025540672,0.00011411519,0.00004780998,0.00020253425,0.00011230322,0.000009528121,0.00022479404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985137,0.000036149566,0.0008662046,0.00034020346,0.00004943943,0.0001943017],"domain_scores_gemma":[0.9990602,0.000011443245,0.00050406676,0.0003292483,0.00003705122,0.00005799205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002725897,0.00015628443,0.000598109,0.000095196105,0.00006322594,0.000024838004,0.00021315737,0.000060108974,0.00007674825],"category_scores_gemma":[0.000011235576,0.0001221993,0.00014867279,0.0006423649,0.000033754073,0.0004995904,0.000024212974,0.00007986186,0.00025561245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.2183996e-7,0.00037667475,0.0040439563,0.0018010447,0.000035878573,0.0000030484239,0.00048670304,0.0005306469,0.00013570761,0.9869009,0.0006434052,0.005041094],"study_design_scores_gemma":[0.0013882279,0.00077153597,0.59778637,0.0077786744,0.0003872903,0.000054225813,0.0009284643,0.36268693,0.00015825109,0.004681875,0.021192536,0.0021856357],"about_ca_topic_score_codex":0.00044344502,"about_ca_topic_score_gemma":0.00011608794,"teacher_disagreement_score":0.98221904,"about_ca_system_score_codex":0.00014992917,"about_ca_system_score_gemma":0.000003350617,"threshold_uncertainty_score":0.4983143},"labels":[],"label_agreement":null},{"id":"W2074374447","doi":"10.1108/03074351011039436","title":"Vulnerable American options","year":2010,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Actuarial science; Exotic option; Valuation (finance); Asian option; Asset (computer security); Economics; Call option; Binary option; Bankruptcy; Valuation of options; Stochastic game; Credit risk; Value (mathematics); Financial economics; Microeconomics; Computer science; Finance","score_opus":0.012411595594293981,"score_gpt":0.2083968258610136,"score_spread":0.19598523026671963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074374447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9397785,0.001555947,0.00060088263,0.001371862,0.0016023077,0.00013203434,0.00007013303,0.00008373778,0.05480461],"genre_scores_gemma":[0.97666806,0.0013551111,0.0034436833,0.00026175968,0.00041461905,0.00003158002,0.00002011537,0.000018619143,0.01778646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990992,0.0000076476845,0.00029666998,0.0003278957,0.000025423922,0.00024315994],"domain_scores_gemma":[0.9993416,0.000019274856,0.0001954418,0.0003859021,0.000013028482,0.0000447653],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002531612,0.000114865456,0.0002805351,0.00015070068,0.00020243364,0.00009450865,0.00021949377,0.000045697405,0.0012620678],"category_scores_gemma":[0.000057952733,0.00012918844,0.00013116223,0.00041707186,0.00014802316,0.0001633686,0.000052668536,0.00022223644,0.002847121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052391997,0.000040362316,0.001570677,0.0000026937728,0.000018825212,0.0000037202265,0.000054481356,0.00006734907,0.00026384514,0.99271446,0.004066749,0.0011915746],"study_design_scores_gemma":[0.00033127656,0.000052276595,0.017048027,0.0000028689299,0.00001177827,0.0000021478095,0.000039137212,0.003627764,0.00031970485,0.14395148,0.83422613,0.00038738936],"about_ca_topic_score_codex":0.0009216224,"about_ca_topic_score_gemma":0.00030707289,"teacher_disagreement_score":0.848763,"about_ca_system_score_codex":0.000017806293,"about_ca_system_score_gemma":0.000005715871,"threshold_uncertainty_score":0.9996509},"labels":[],"label_agreement":null},{"id":"W2075226186","doi":"10.1016/s1389-9341(03)00003-0","title":"Application of real options theory to forestry investment analysis","year":2003,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Binomial options pricing model; Reforestation; Option value; Investment (military); Profitability index; Valuation of options; Asian option; Net present value; Economics; Actuarial science; Microeconomics; Econometrics; Forestry; Finance; Incentive; Production (economics)","score_opus":0.01816441871376907,"score_gpt":0.23572567459591762,"score_spread":0.21756125588214856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075226186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96944934,0.0014797652,0.0054175435,0.0002938972,0.00004792408,0.00020946855,0.00020876848,0.000017429586,0.02287584],"genre_scores_gemma":[0.99283534,0.0037666934,0.001703788,0.00045861368,0.000069975904,0.00005047234,0.000060441995,0.00001469752,0.0010399873],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989155,0.0000148467225,0.0005300345,0.00031331464,0.000013838421,0.00021247951],"domain_scores_gemma":[0.9991658,0.000048403534,0.000256783,0.0003549287,0.000014960549,0.00015913272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037696358,0.00013155685,0.00039953893,0.0007428694,0.000091267815,0.00003928327,0.00011754572,0.00008457056,0.000056626435],"category_scores_gemma":[0.00006219808,0.00014815324,0.00020112004,0.0005370465,0.00008671949,0.0001340091,0.000040603667,0.000050602324,0.00010077969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006885183,0.000043436223,0.08574988,0.0000067927704,0.00030615958,8.5770374e-8,0.00025909976,0.0069752517,0.0000027836365,0.90652096,0.000045995082,0.00008267576],"study_design_scores_gemma":[0.00021732094,0.000054055017,0.072811656,0.0000016760891,0.00012732291,0.0000010031479,0.00012362534,0.010112361,0.000059990598,0.902061,0.01422351,0.00020650115],"about_ca_topic_score_codex":0.001755698,"about_ca_topic_score_gemma":0.0007773468,"teacher_disagreement_score":0.023385966,"about_ca_system_score_codex":0.00009616172,"about_ca_system_score_gemma":0.00002624797,"threshold_uncertainty_score":0.6041514},"labels":[],"label_agreement":null},{"id":"W2077924239","doi":"10.1142/s0219024913500040","title":"PRIORITY OPTION: THE VALUE OF BEING A LEADER","year":2013,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Context (archaeology); Microeconomics; Value (mathematics); License; Economics; Markov chain; Mathematical economics; Business; Computer science","score_opus":0.008902755862320876,"score_gpt":0.21137300931270214,"score_spread":0.20247025345038128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077924239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97842264,0.00231011,0.0029555731,0.007712028,0.00026476645,0.0000743858,0.00000828591,0.0000027489311,0.008249439],"genre_scores_gemma":[0.99663156,0.001544416,0.0011988583,0.00030052807,0.0001757003,0.0000034609936,7.856479e-7,0.000004445716,0.00014024579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992567,0.0000070959686,0.00047761522,0.00009435625,0.00007878479,0.00008548835],"domain_scores_gemma":[0.9993691,0.00007429895,0.0003639185,0.000078323275,0.00008538686,0.000029001469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029840818,0.00006792192,0.000208317,0.00007286049,0.000035731366,0.00005145581,0.00027144715,0.000040679275,0.00023401383],"category_scores_gemma":[0.000043138927,0.00004630522,0.00011301545,0.00006871024,0.00035559316,0.00011143013,0.000056148063,0.00013811859,0.000039844104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018332381,0.00004173849,0.00085364893,0.0000029859482,0.000071198265,9.885812e-7,0.00023163944,0.00007132319,0.00012824601,0.99692464,0.00013853196,0.0015167348],"study_design_scores_gemma":[0.0002775736,0.000032291377,0.009489651,0.000017066859,0.000010993452,0.000013641812,0.000082130064,0.0025354107,0.0006766685,0.9845505,0.0022488665,0.000065238804],"about_ca_topic_score_codex":0.000013641328,"about_ca_topic_score_gemma":2.4392926e-7,"teacher_disagreement_score":0.018208897,"about_ca_system_score_codex":0.00001974525,"about_ca_system_score_gemma":0.0000077772675,"threshold_uncertainty_score":0.25622874},"labels":[],"label_agreement":null},{"id":"W2078264793","doi":"10.2118/2004-055","title":"Using Real Options to Value a Steam-Assisted Gravity Drainage Project and to Measure the Value of Adding an Upgrading Facility","year":2004,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Husky Energy (Canada)","funders":"University of Alberta","keywords":"Citation; Capital cost; Computer science; Library science; Operations research; Engineering; Business; Electrical engineering","score_opus":0.0818682168518121,"score_gpt":0.27755409729213465,"score_spread":0.19568588044032253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078264793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895515,0.00019928924,0.0016050511,0.0015453154,0.00019361191,0.0002118305,0.0012169516,0.000013110115,0.0054633548],"genre_scores_gemma":[0.9979208,0.000054523236,0.0014492383,0.00022818663,0.000051883424,0.00001699338,0.000048533606,0.00000878092,0.00022107486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99885684,0.00003084339,0.0003804545,0.0003836805,0.00009370246,0.00025445805],"domain_scores_gemma":[0.99914867,0.000025781948,0.00014383935,0.00025550745,0.00012247416,0.00030371113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046437327,0.00014279374,0.00025383683,0.0006194062,0.00022288022,0.00017007947,0.0003554832,0.00006036616,0.000053593627],"category_scores_gemma":[0.00015319829,0.00014222438,0.000091034446,0.00031431808,0.00008080242,0.00022843067,0.000056320885,0.00012760214,0.000020566182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012043499,0.000026671114,0.0059507946,0.00000595404,0.000087769855,0.00000394862,0.0014791669,0.008119153,0.00043257882,0.9836785,0.00003061041,0.00017281038],"study_design_scores_gemma":[0.0022574482,0.00057267566,0.61253947,0.0003595657,0.00018320025,0.00006519227,0.006273782,0.15753463,0.0004736785,0.20376272,0.01413858,0.0018390389],"about_ca_topic_score_codex":0.3351881,"about_ca_topic_score_gemma":0.16839239,"teacher_disagreement_score":0.77991575,"about_ca_system_score_codex":0.00067463965,"about_ca_system_score_gemma":0.00029245953,"threshold_uncertainty_score":0.84678227},"labels":[],"label_agreement":null},{"id":"W2078283024","doi":"10.1088/1742-6596/256/1/012025","title":"When to Renew Software Licences at HPC Centres? A Mathematical Analysis","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Software; Computer science; Profit (economics); Operations research; Risk analysis (engineering); Business; Economics; Microeconomics; Engineering; Operating system","score_opus":0.02818432066422943,"score_gpt":0.2294056363848312,"score_spread":0.20122131572060176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078283024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547929,0.0009277312,0.036574744,0.0036686792,0.00050408504,0.00013327776,0.00012233137,0.00002804453,0.0032481966],"genre_scores_gemma":[0.98292524,0.00044720675,0.012976862,0.0001634114,0.00031923834,0.0000036974131,0.000010110361,0.000014008829,0.0031402179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986569,0.000013247055,0.0007491023,0.00022072249,0.00011933862,0.00024067907],"domain_scores_gemma":[0.99848443,0.000060738323,0.0007335424,0.00030005467,0.00019993875,0.0002213108],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002885348,0.00017267716,0.00072879094,0.0003053179,0.0001193098,0.0002016108,0.00037918435,0.00007740214,0.0027035929],"category_scores_gemma":[0.00015849355,0.00015103535,0.00048374245,0.0005306161,0.00011644865,0.0005575217,0.000104920524,0.00022990299,0.00034606445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057259243,0.00018974589,0.035938483,0.000028569519,0.001212387,0.000012622351,0.004649739,0.00013087485,0.00085966,0.9516427,0.0019865073,0.003291451],"study_design_scores_gemma":[0.00033432647,0.00023677823,0.00935251,0.000037775906,0.0005208984,0.000015973705,0.0006858721,0.0005436044,0.012728277,0.9621998,0.012873619,0.00047056528],"about_ca_topic_score_codex":0.000060659084,"about_ca_topic_score_gemma":0.0003965884,"teacher_disagreement_score":0.028132336,"about_ca_system_score_codex":0.000043061165,"about_ca_system_score_gemma":0.00004393359,"threshold_uncertainty_score":0.99820805},"labels":[],"label_agreement":null},{"id":"W2078747612","doi":"10.1111/j.1744-7976.2001.tb00287.x","title":"Compatibility of Government Guarantees with Flexibility in Canadian Wheat Price Pooling","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Agriculture Food and Rural Development; Penn West Exploration (Canada); University of Alberta","funders":"","keywords":"Pooling; Economics; Welfare economics; Computer science","score_opus":0.02840025467039047,"score_gpt":0.1707575416294371,"score_spread":0.14235728695904662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078747612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889372,0.0026594293,0.000005537098,0.0020220256,0.0004912077,0.00030256994,0.00063209573,0.000004196969,0.0049457434],"genre_scores_gemma":[0.9982939,0.0005027605,0.00020910957,0.00021710651,0.00019952924,0.000007556415,0.000034271496,0.000024608029,0.00051117834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963395,0.00003256029,0.0019540545,0.0005428318,0.000018958888,0.0011120847],"domain_scores_gemma":[0.99618906,0.00008156492,0.0012705964,0.00041910782,0.00013409331,0.001905573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009990584,0.0003732525,0.001248629,0.00066941394,0.00016702397,0.00012385938,0.00062184,0.00017478499,0.00071987894],"category_scores_gemma":[0.00011486333,0.00034213293,0.0003648679,0.00041015216,0.00020899868,0.0007538713,0.000020574058,0.00035911304,0.00004048825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010711231,0.0000673618,0.8565741,0.000059897447,0.000369991,0.00012429098,0.002235037,0.017467696,0.000016343256,0.12226107,0.0004442593,0.00027283042],"study_design_scores_gemma":[0.0015776441,0.0005304984,0.9656179,0.00014141618,0.00006639783,0.00035961316,0.002909264,0.001825449,0.00009456847,0.011633539,0.014379454,0.0008642527],"about_ca_topic_score_codex":0.90260607,"about_ca_topic_score_gemma":0.9989142,"teacher_disagreement_score":0.11062753,"about_ca_system_score_codex":0.006742843,"about_ca_system_score_gemma":0.00080945645,"threshold_uncertainty_score":0.9999031},"labels":[],"label_agreement":null},{"id":"W2080816879","doi":"10.1111/j.1745-6622.2003.tb00529.x","title":"IMPLEMENTING ECONOMIC CAPITAL IN AN INDUSTRIAL COMPANY: THE CASE OF MICHELIN","year":2003,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rutter (Canada)","funders":"","keywords":"Economic capital; Cost of capital; Financial capital; Business; Finance; Capital (architecture); Return on capital; Risk-adjusted return on capital; Economics; Industrial organization; Capital formation; Profit (economics); Microeconomics","score_opus":0.0695535937373849,"score_gpt":0.24097918476674526,"score_spread":0.17142559102936036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080816879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616903,0.0019384535,0.000056942907,0.00007752172,0.00025106914,0.00013315679,0.000046636655,0.0000025020222,0.0013246587],"genre_scores_gemma":[0.998732,0.00046164068,0.0005623235,0.000046125566,0.00012633225,0.0000047059743,0.000004115381,0.000014615265,0.000048167098],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807346,0.0000259464,0.0014001301,0.00019510665,0.000032369997,0.00027298115],"domain_scores_gemma":[0.9967699,0.000048003363,0.0028544397,0.00023768572,0.000038255854,0.00005171415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015612502,0.00014676825,0.0005661672,0.0002742993,0.0000852927,0.000051972922,0.00024499395,0.000085070285,0.0001252891],"category_scores_gemma":[0.000019380357,0.00012753705,0.00015393451,0.00027791978,0.000088601824,0.00022828236,0.00003234037,0.00029058364,0.000034539604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008684185,0.00014233764,0.021509431,0.000007489534,0.00007445713,0.00014475842,0.0009113875,0.0059944033,0.00022541457,0.96973497,0.0003558697,0.0008126379],"study_design_scores_gemma":[0.010731227,0.0009257552,0.012916372,0.00008039717,0.00017106211,0.0008675777,0.00943472,0.020446086,0.012050446,0.90763587,0.023381995,0.0013585234],"about_ca_topic_score_codex":0.00022002257,"about_ca_topic_score_gemma":0.00044846453,"teacher_disagreement_score":0.062099133,"about_ca_system_score_codex":0.000106408355,"about_ca_system_score_gemma":0.000082735416,"threshold_uncertainty_score":0.520081},"labels":[],"label_agreement":null},{"id":"W2081171944","doi":"10.1057/jibs.2008.71","title":"Licensing duration in foreign markets: A real options perspective","year":2008,"lang":"en","type":"article","venue":"Journal of International Business Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Brock University","funders":"Brock University; York University; University of Texas at Austin","keywords":"Duration (music); Economics; Foreign direct investment; Sample (material); International business; Market timing; Investment (military); Empirical evidence; Industrial organization; Monetary economics; Macroeconomics; Management; Law","score_opus":0.056052851003261725,"score_gpt":0.2791435467119151,"score_spread":0.22309069570865336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081171944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9350755,0.041348487,0.00032614858,0.004974585,0.0008284747,0.00006550867,0.000015708893,0.0000074753616,0.017358093],"genre_scores_gemma":[0.8917809,0.106280066,0.0010149187,0.000072439645,0.00030068881,0.0000024751814,0.000002782547,0.00000649825,0.0005392448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990413,0.000010494163,0.0006681387,0.00011426968,0.0000756704,0.00009009067],"domain_scores_gemma":[0.998507,0.000059360555,0.0005998472,0.000055070457,0.00075710117,0.000021607546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029379327,0.000084616935,0.00029866904,0.0006283008,0.000089985806,0.000025679308,0.00010930676,0.000030265584,0.000064184336],"category_scores_gemma":[0.0004660305,0.00007750546,0.00012234582,0.0003447171,0.000078430145,0.0005049883,0.000035949797,0.00009499424,0.000021150749],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012972836,0.00023281672,0.18575743,0.000011012821,0.0008362816,0.0001226369,0.0043984186,0.0008868956,0.000056846886,0.8050529,0.002462368,0.000052688792],"study_design_scores_gemma":[0.0009162358,0.000039458853,0.89084697,0.00009256237,0.000023715089,0.00016817063,0.006046538,0.0016955584,0.000028948947,0.098739326,0.0012299985,0.00017250728],"about_ca_topic_score_codex":0.0002091786,"about_ca_topic_score_gemma":0.000086220876,"teacher_disagreement_score":0.70631355,"about_ca_system_score_codex":0.00041592796,"about_ca_system_score_gemma":0.000024890389,"threshold_uncertainty_score":0.3160581},"labels":[],"label_agreement":null},{"id":"W2081969803","doi":"10.1016/j.jedc.2011.09.008","title":"Good timing: The economics of optimal stopping","year":2011,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"West Virginia University; Agricultural and Applied Economics Association","keywords":"Optimal stopping; Certainty; Economics; Stopping time; Value (mathematics); Interest rate; Econometrics; Rate of return; Present value; Microeconomics; Financial economics; Mathematics; Monetary economics; Statistics; Finance","score_opus":0.027656333133401507,"score_gpt":0.196685902684196,"score_spread":0.16902956955079448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081969803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827365,0.0063306945,0.0030058,0.0005773754,0.0004945576,0.00010417904,0.000089710236,0.000003510782,0.006657638],"genre_scores_gemma":[0.9959459,0.0029076564,0.0005066849,0.00013050657,0.00015600013,0.0000019574286,0.0000016165642,0.000015006698,0.00033470851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857545,0.000013520995,0.0010687842,0.00015272785,0.000015764741,0.00017372474],"domain_scores_gemma":[0.9981721,0.00007082464,0.001446805,0.00019339845,0.0000328435,0.00008400406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072595093,0.00013417845,0.0005939083,0.00021173853,0.0000722485,0.000048813086,0.0002787524,0.00007094756,0.00013868934],"category_scores_gemma":[0.000018428203,0.000111148016,0.0003121041,0.000039661838,0.00012072474,0.00025712975,0.00003893954,0.00014922585,0.00001782816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007136426,0.000057028454,0.022298448,0.000008389499,0.0005383042,0.0000023345128,0.0005706072,0.0013635819,0.000008221353,0.9740624,0.000049646493,0.000969669],"study_design_scores_gemma":[0.00363292,0.00068106584,0.0217685,0.000031211366,0.0002998109,0.00009586343,0.0014938121,0.82009196,0.000070012065,0.14908145,0.0022711782,0.00048219023],"about_ca_topic_score_codex":0.00013642645,"about_ca_topic_score_gemma":0.000078750425,"teacher_disagreement_score":0.824981,"about_ca_system_score_codex":0.000110276465,"about_ca_system_score_gemma":0.000036840218,"threshold_uncertainty_score":0.45324844},"labels":[],"label_agreement":null},{"id":"W2086987147","doi":"10.1111/j.1540-6261.2009.01454.x","title":"Real Options, Product Market Competition, and Asset Returns","year":2009,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Competition (biology); Product market; Asset (computer security); Economics; Investment (military); Rate of return; Business; Product (mathematics); Value (mathematics); Microeconomics; Monetary economics; Industrial organization; Finance","score_opus":0.01633207631376807,"score_gpt":0.21615462269135616,"score_spread":0.1998225463775881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086987147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91679716,0.06552301,0.00008682582,0.009924274,0.00019257021,0.00007952746,0.000030421059,0.000006917244,0.0073592984],"genre_scores_gemma":[0.8750197,0.12168112,0.00076630194,0.00020454789,0.00017913322,4.2487596e-7,0.0000017606932,0.0000043136442,0.0021426836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993074,0.00002388149,0.0004309757,0.000089338,0.000037570688,0.00011082144],"domain_scores_gemma":[0.99921656,0.000031034335,0.0005058001,0.00016762648,0.00004871625,0.000030261914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087864796,0.00007485503,0.0002433515,0.00010540426,0.00010493092,0.000036510723,0.00015458031,0.000025314384,0.00009278635],"category_scores_gemma":[0.000045113702,0.0000556752,0.00007623588,0.00017046757,0.000059947764,0.0002121071,0.000012830988,0.0001441151,0.000021036984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076876604,0.00011237483,0.006240259,0.00000846488,0.00006353576,0.000009155277,0.00057496305,0.000095543124,0.00017561826,0.9536812,0.038198046,0.000764012],"study_design_scores_gemma":[0.00056122063,0.00033079874,0.6296941,0.00005359048,0.000056869027,0.0001641077,0.000110552915,0.0012026854,0.00018744021,0.31991526,0.047500465,0.00022292114],"about_ca_topic_score_codex":0.000028787072,"about_ca_topic_score_gemma":0.000009976674,"teacher_disagreement_score":0.6337659,"about_ca_system_score_codex":0.000029781944,"about_ca_system_score_gemma":0.000011797858,"threshold_uncertainty_score":0.22703688},"labels":[],"label_agreement":null},{"id":"W2087471840","doi":"10.1016/j.econmod.2010.08.017","title":"Managerial compensation and the underinvestment problem","year":2010,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Salary; Economics; Incentive; Equity (law); Severance; Microeconomics; Earnings; Bankruptcy; Executive compensation; Enterprise value; Leverage (statistics); Finance; Labour economics","score_opus":0.025475593959549035,"score_gpt":0.19332909924778927,"score_spread":0.16785350528824022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087471840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94903785,0.0020768729,0.014905667,0.00221065,0.0007534415,0.00037216,0.00002004872,0.000041094092,0.030582227],"genre_scores_gemma":[0.9934885,0.0010659463,0.0039696787,0.00021631263,0.00022915112,0.00002678929,0.000012795098,0.000014743773,0.00097611506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991739,0.000008336958,0.00038553047,0.00027182084,0.000012827623,0.0001476143],"domain_scores_gemma":[0.99949354,0.000041359795,0.0001911153,0.00022026888,0.000004469174,0.000049244867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005158478,0.000104917905,0.00024332134,0.0000856747,0.00015714152,0.00014820135,0.000118944794,0.000052970812,0.00031031854],"category_scores_gemma":[0.0000030918252,0.00008997279,0.00008980098,0.000030837342,0.00014378747,0.00016509205,0.00004755026,0.00012914104,0.00039063286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012605633,0.000007305076,0.0003217579,0.0000039778934,0.000044209028,1.914256e-7,0.00032450972,0.022000857,0.0000063185244,0.97709906,0.000098059674,0.000081147664],"study_design_scores_gemma":[0.00055814045,0.000004698552,0.00006271895,0.0000010932195,0.000008661122,0.0000012173732,0.000028669436,0.56910807,0.000014986273,0.42306498,0.0070563275,0.00009042122],"about_ca_topic_score_codex":0.00068215677,"about_ca_topic_score_gemma":0.00015902724,"teacher_disagreement_score":0.55403405,"about_ca_system_score_codex":0.000036002126,"about_ca_system_score_gemma":0.0000073426418,"threshold_uncertainty_score":0.50209254},"labels":[],"label_agreement":null},{"id":"W2087897373","doi":"10.1016/j.energy.2006.11.002","title":"Power plant investment in restructured markets","year":2007,"lang":"en","type":"article","venue":"Energy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Restructuring; Investment (military); Electric power industry; Electricity generation; Business; Electricity; Power station; Electric utility; Industrial organization; Electricity market; Process (computing); Electric power; Environmental economics; Natural resource economics; Power (physics); Finance; Economics; Engineering; Computer science","score_opus":0.011999351108731474,"score_gpt":0.19267955098657347,"score_spread":0.180680199877842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087897373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79578567,0.010964672,0.00012757067,0.00025223193,0.0005365336,0.00004435091,0.000033705728,0.000027765145,0.19222753],"genre_scores_gemma":[0.99396044,0.00051275274,0.00028429518,0.0011706147,0.00006967216,0.000004464497,0.00003752225,0.000012828069,0.0039473847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990649,0.0000073134293,0.00039641204,0.00024647618,0.00003149637,0.00025336523],"domain_scores_gemma":[0.9995722,0.000024384408,0.000113717484,0.00020493928,0.0000053141844,0.000079421305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031444797,0.000104615276,0.00021409096,0.00036461107,0.00003198324,0.000023410803,0.00011384228,0.00007833747,0.00068222126],"category_scores_gemma":[0.000020866695,0.000106704094,0.000081529506,0.00026424005,0.000030834115,0.00007682028,0.000034068806,0.00006506097,0.00008823604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020111738,0.000037684258,0.0106732575,0.0000013890037,0.000026117334,0.000033414537,0.00016282608,0.000027735798,0.000036893012,0.98602736,0.0028470713,0.00010614631],"study_design_scores_gemma":[0.0006258416,0.000042491807,0.27046576,0.000008461257,0.000003935327,0.000003223903,0.00009251958,0.00089181616,0.0007381834,0.24249701,0.48429862,0.00033214645],"about_ca_topic_score_codex":0.00079012004,"about_ca_topic_score_gemma":0.00080198934,"teacher_disagreement_score":0.74353033,"about_ca_system_score_codex":0.00009660631,"about_ca_system_score_gemma":0.0000065618883,"threshold_uncertainty_score":0.7469844},"labels":[],"label_agreement":null},{"id":"W2088500621","doi":"10.1007/s10799-006-5728-7","title":"Evaluating strategic options using decision-theoretic planning","year":2006,"lang":"en","type":"article","venue":"Information Technology and Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Heuristics; Product (mathematics); Computer science; Management science; Value (mathematics); Operations research; Risk analysis (engineering); Decision analysis; Strategic planning; Business; Economics; Marketing; Engineering; Mathematics","score_opus":0.046316708808654475,"score_gpt":0.2819348666566401,"score_spread":0.23561815784798562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088500621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9025376,0.0046924725,0.05594865,0.00032782712,0.0001276412,0.00025081795,0.00001173911,0.00013589111,0.03596738],"genre_scores_gemma":[0.97591007,0.00060477975,0.023133697,0.00008895806,0.000013243384,0.000022464255,0.000024952908,0.0000038916382,0.00019795667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993364,0.0000027595838,0.00039732727,0.000106005304,0.000029340315,0.00012811695],"domain_scores_gemma":[0.9996371,0.0000096445,0.00018833311,0.00013464344,0.000015931959,0.000014331194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025294255,0.0000749998,0.00011902322,0.0009833846,0.00018507,0.000076711396,0.00008301599,0.00007426481,0.000071131995],"category_scores_gemma":[0.000007844779,0.00007943313,0.00003178335,0.00041194406,0.00006815946,0.0003814796,0.00006937681,0.000061018924,0.00014125314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023674181,0.000009724777,0.0011301261,0.000016004113,0.00002329685,8.694069e-7,0.00003752564,0.004915125,0.000002241793,0.9919971,0.00006805308,0.0017975485],"study_design_scores_gemma":[0.00026820967,0.000022448065,0.0011772753,0.000016498314,0.000018708992,0.0000033659248,0.0005009701,0.1046582,0.000017120234,0.8909703,0.0022444015,0.00010248637],"about_ca_topic_score_codex":0.00002696985,"about_ca_topic_score_gemma":0.0000017858864,"teacher_disagreement_score":0.1010268,"about_ca_system_score_codex":0.000036475554,"about_ca_system_score_gemma":0.0000024409255,"threshold_uncertainty_score":0.3239189},"labels":[],"label_agreement":null},{"id":"W2089650742","doi":"10.1016/j.econlet.2013.02.018","title":"Implementation lag and the investment decision","year":2013,"lang":"en","type":"article","venue":"Economics Letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lag; Investment (military); Economics; Time lag; Monetary economics; Lag time; Investment decisions; Econometrics; Microeconomics; Computer science; Production (economics)","score_opus":0.01109557909397893,"score_gpt":0.19547554177248955,"score_spread":0.18437996267851062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089650742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980684,0.0019681118,0.00030858535,0.014676838,0.00020758783,0.00030014725,0.000013564747,0.000013519667,0.0018276708],"genre_scores_gemma":[0.97514373,0.0026183303,0.00093409704,0.020834675,0.00011678647,0.000100862344,0.000021450614,0.000017615259,0.0002124727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991273,0.000010941104,0.00042590822,0.00025183352,0.00001286615,0.00017111617],"domain_scores_gemma":[0.99943614,0.00007388638,0.00020342175,0.00022158922,0.000006307518,0.000058636564],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030176874,0.00010894186,0.00022587489,0.00011895046,0.00012085282,0.00020738233,0.00012793005,0.00002967403,0.0007646431],"category_scores_gemma":[0.0000101565765,0.00008940983,0.00010200098,0.00005960245,0.00012852575,0.00031053956,0.00006341602,0.00006116184,0.0010538943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000077032555,0.000009598091,0.013893453,0.000002288506,0.00008510893,2.2687429e-7,0.00048274567,0.00008103514,0.00002337884,0.97053146,0.013257252,0.0016257387],"study_design_scores_gemma":[0.003966284,0.000032570664,0.077889115,0.000004502684,0.00003345822,0.000004282018,0.0006211889,0.015077462,0.00012554147,0.8485733,0.05322706,0.0004452],"about_ca_topic_score_codex":0.0013895958,"about_ca_topic_score_gemma":0.00012276329,"teacher_disagreement_score":0.12195814,"about_ca_system_score_codex":0.000073453535,"about_ca_system_score_gemma":0.0000035920002,"threshold_uncertainty_score":0.9997239},"labels":[],"label_agreement":null},{"id":"W2089822100","doi":"10.1108/jrf-05-2014-0072","title":"Measuring infrastructure investment option value","year":2015,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Finance; Financial risk; Financial engineering; Investment (military); Financial modeling; Project finance; Value at risk; Option value; Risk management; Actuarial science; Value (mathematics); Investment strategy; Economics; Risk analysis (engineering); Business; Computer science; Microeconomics; Market liquidity","score_opus":0.04373291177427216,"score_gpt":0.20885608664319774,"score_spread":0.16512317486892558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089822100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9508576,0.04420055,0.0023582743,0.00045221488,0.0005580755,0.000062527295,0.000018003142,0.000006982602,0.0014857919],"genre_scores_gemma":[0.9812083,0.015929358,0.0020721308,0.00021965172,0.00027354434,0.0000010853147,0.0000011491263,0.000012313764,0.000282467],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989827,0.00005134391,0.00060488575,0.000100926474,0.0000973481,0.0001627431],"domain_scores_gemma":[0.99839485,0.000045119734,0.0011539408,0.00023681582,0.00009046296,0.00007880576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015495995,0.00011625644,0.0003128978,0.00015877781,0.000113424394,0.00003969438,0.00032063754,0.000055654666,0.000019123849],"category_scores_gemma":[0.00021948713,0.00008231615,0.00015509575,0.0002607724,0.000071458635,0.00028863692,0.000045146877,0.00028552022,0.000115181276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012524759,0.000086440436,0.029469144,0.000008686135,0.0002038291,0.0000099868475,0.005305097,0.077343665,0.000035331464,0.8745033,0.011245414,0.0016638527],"study_design_scores_gemma":[0.0010755014,0.00021255178,0.0826489,0.00004002647,0.000104605875,0.00006872154,0.0004662135,0.012002142,0.00039024255,0.84832424,0.05441877,0.00024807907],"about_ca_topic_score_codex":0.00015732592,"about_ca_topic_score_gemma":0.000011143474,"teacher_disagreement_score":0.065341525,"about_ca_system_score_codex":0.00015444754,"about_ca_system_score_gemma":0.000038313523,"threshold_uncertainty_score":0.33567554},"labels":[],"label_agreement":null},{"id":"W2091070000","doi":"10.1111/1467-9310.00225","title":"Portfolio management for new product development: results of an industry practices study","year":2001,"lang":"en","type":"article","venue":"R and D Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":696,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Portfolio; Project portfolio management; New product development; Popularity; Application portfolio management; Product (mathematics); Rank (graph theory); Set (abstract data type); Modern portfolio theory; Business; Marketing; Computer science; Economics; Project management; Finance; Management","score_opus":0.0727559308771492,"score_gpt":0.2863947918764447,"score_spread":0.21363886099929547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091070000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9112997,0.0044044694,0.00041165482,0.00059113506,0.00020645095,0.001902464,0.000021098598,0.0000446724,0.08111837],"genre_scores_gemma":[0.9394061,0.003915078,0.0081483945,0.00012553592,0.0001139686,0.000104240375,0.00005390435,0.00001926951,0.04811353],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987051,0.000007882098,0.00056688546,0.0004710212,0.000057556066,0.00019155134],"domain_scores_gemma":[0.9990063,0.000010351137,0.0005528413,0.00032552468,0.000016442595,0.00008855133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005966267,0.00013278454,0.0002562859,0.0003241852,0.0000955579,0.000067633744,0.0001519202,0.00004086011,0.000058133915],"category_scores_gemma":[0.000015336698,0.00013425581,0.000046979472,0.00026826543,0.000018346145,0.00026679365,0.00011015369,0.0000585006,0.000020363968],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087914965,0.0047878204,0.08048744,0.00059825997,0.0037918468,0.00013189192,0.0048590605,0.0003086817,0.0000032110938,0.7296847,0.02481312,0.14965479],"study_design_scores_gemma":[0.004970026,0.00047219536,0.22971945,0.000032154294,0.00028288475,0.0000029867576,0.004679944,0.000674452,0.00006627239,0.019136518,0.7394406,0.0005225169],"about_ca_topic_score_codex":0.00025535017,"about_ca_topic_score_gemma":0.00010090461,"teacher_disagreement_score":0.7146275,"about_ca_system_score_codex":0.000028735636,"about_ca_system_score_gemma":0.0000061714577,"threshold_uncertainty_score":0.54747933},"labels":[],"label_agreement":null},{"id":"W2091102941","doi":"10.3386/w12000","title":"Equilibrium Exhaustible Resource Price Dynamics","year":2006,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nicolet Chartrand Knoll (Canada); University of British Columbia","funders":"","keywords":"Resource (disambiguation); Economics; Dynamics (music); Mathematical economics; Microeconomics; Computer science; Physics","score_opus":0.3133249707665496,"score_gpt":0.4474880789751143,"score_spread":0.1341631082085647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091102941","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026927604,0.015748061,0.000016844106,0.00077450403,0.00049101724,0.00042313908,0.0011674796,0.000030445279,0.97865576],"genre_scores_gemma":[0.4684262,0.00932481,0.0005256517,0.00007203319,0.0035942702,0.00018938207,0.009778503,0.0002491872,0.50784],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957112,0.00007719963,0.00184796,0.0010057423,0.0006657578,0.0006921052],"domain_scores_gemma":[0.99651396,0.0006450103,0.0011571948,0.0006477356,0.00087670726,0.0001593795],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008419337,0.00034600508,0.0011288596,0.0025926076,0.0001341938,0.00017570757,0.0008850827,0.0006617669,0.0017218123],"category_scores_gemma":[0.00067024736,0.0004121642,0.0005699366,0.0005980581,0.00039319013,0.00027345802,0.00036202348,0.00091067,0.0015912561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021406266,0.00010330809,0.0018644306,0.00013305707,0.00024248594,0.0000033119718,0.000016881228,0.0010925899,0.0000038735807,0.736499,0.25996402,0.000055628825],"study_design_scores_gemma":[0.0004235437,0.0000983066,0.0011408266,0.00006667574,0.000024577532,0.000010946125,0.00004242493,0.0156187955,0.00005304369,0.6901744,0.2918168,0.00052964414],"about_ca_topic_score_codex":0.009300698,"about_ca_topic_score_gemma":0.00057378376,"teacher_disagreement_score":0.4708158,"about_ca_system_score_codex":0.004944944,"about_ca_system_score_gemma":0.0013330918,"threshold_uncertainty_score":0.99983305},"labels":[],"label_agreement":null},{"id":"W2093919619","doi":"10.1080/09603107.2010.528362","title":"The real options content of oil producer stocks","year":2010,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Barrel (horology); Equity (law); Stock (firearms); Economics; Oil production; Production (economics); Oil-storage trade; Oil price; Maturity (psychological); Petroleum industry; Business; Natural resource economics; Agricultural economics; Monetary economics; Environmental science; Microeconomics; Petroleum engineering","score_opus":0.026065878096616764,"score_gpt":0.19439088525848322,"score_spread":0.16832500716186646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093919619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94433445,0.0011596208,0.00003398896,0.00063801074,0.0010026979,0.00015599046,0.00012383447,0.000025390156,0.052525997],"genre_scores_gemma":[0.98409885,0.0105537735,0.00066432176,0.00014953467,0.00039931535,0.00010709081,0.000029926303,0.000028083476,0.003969085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99856037,0.0000035834782,0.0007706879,0.0003624733,0.00002046186,0.0002824359],"domain_scores_gemma":[0.9987743,0.00006597894,0.00050391874,0.0005464203,0.00003516605,0.00007422575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049244013,0.00015912708,0.00039470074,0.00010950555,0.00027052345,0.00006523647,0.00034206992,0.0001506731,0.00010553452],"category_scores_gemma":[0.000069386704,0.00014688126,0.00020707751,0.00013649778,0.00024640356,0.000099290606,0.00008195027,0.00026148075,0.00031746624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022563492,0.00005976644,0.0014927619,0.000004752622,0.0000394835,1.4599551e-7,0.0001528461,0.000052402625,0.00045409112,0.9934871,0.00045597283,0.003778108],"study_design_scores_gemma":[0.0016154437,0.000108753935,0.07561521,0.0000066551065,0.00006914163,0.000002857532,0.00031522586,0.0024302958,0.0035189434,0.57427835,0.34108648,0.0009526323],"about_ca_topic_score_codex":0.0004461222,"about_ca_topic_score_gemma":0.001175696,"teacher_disagreement_score":0.41920874,"about_ca_system_score_codex":0.00005087846,"about_ca_system_score_gemma":0.000059636368,"threshold_uncertainty_score":0.59896433},"labels":[],"label_agreement":null},{"id":"W2094325929","doi":"10.5539/ijsp.v4n1p170","title":"Random Fuzzy Decision Models for Pharmaceutical R&amp;D Project Investment under Uncertainty","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Mathematical optimization; Mathematics; Computer science; Operations research; Artificial intelligence","score_opus":0.14149275687335597,"score_gpt":0.34692710322466846,"score_spread":0.2054343463513125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094325929","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18507025,0.007120581,0.8006615,0.0014793666,0.0018072935,0.000561109,0.0016853444,0.000010263396,0.001604301],"genre_scores_gemma":[0.7962614,0.0028322684,0.19906214,0.0008724287,0.00048418416,0.00002677995,0.00010475125,0.000020745605,0.00033525456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99873304,0.000024519031,0.00077959336,0.0001867569,0.00014828677,0.00012781458],"domain_scores_gemma":[0.9983892,0.0002855322,0.00042170947,0.000093128925,0.0006633469,0.00014709996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013365889,0.000110420355,0.00031845144,0.0001703472,0.00004031745,0.00011026,0.00018099815,0.000050912204,0.00003433061],"category_scores_gemma":[0.0005786514,0.00009316055,0.000119596,0.00006610239,0.00010025699,0.00020863191,0.00005142432,0.00011006746,0.000006301726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008554012,0.00022007023,0.002017039,0.000016119951,0.00029145938,0.000003135623,0.00041802626,0.013908337,0.0000031862335,0.97300607,0.0074904747,0.0017706949],"study_design_scores_gemma":[0.0025450361,0.00012038478,0.0002862726,0.000012680303,0.000032679098,0.000011103127,0.000047167105,0.07820278,0.0000050185113,0.90092105,0.017714744,0.000101093385],"about_ca_topic_score_codex":0.00011272074,"about_ca_topic_score_gemma":0.000049320908,"teacher_disagreement_score":0.6111912,"about_ca_system_score_codex":0.00020327521,"about_ca_system_score_gemma":0.00009718068,"threshold_uncertainty_score":0.37989768},"labels":[],"label_agreement":null},{"id":"W2094776947","doi":"10.1111/j.1745-6622.2001.tb00329.x","title":"FIRST‐MOVER (DIS) ADVANTAGE AND REAL OPTIONS","year":2001,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Innovation, Science and Economic Development Canada","funders":"","keywords":"First-mover advantage; Flexibility (engineering); Value (mathematics); Profitability index; Economics; Risk analysis (engineering); Computer science; Business; Industrial organization; Finance; Management","score_opus":0.030513349598083793,"score_gpt":0.20740209661770115,"score_spread":0.17688874701961735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094776947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96697503,0.013521141,0.00069028756,0.00052893313,0.00023947084,0.00010025798,0.000033966953,0.000011993255,0.017898893],"genre_scores_gemma":[0.8825732,0.11274399,0.0024819416,0.00014339192,0.00018556455,0.00000491313,0.000004545351,0.000017009745,0.0018454834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887514,0.0000035357918,0.0006794862,0.00019992079,0.000051988238,0.00018992189],"domain_scores_gemma":[0.99830896,0.000024709208,0.0013667737,0.00017595348,0.00004388533,0.00007973642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029301012,0.0001384379,0.0004245489,0.0002277487,0.00011655559,0.00006194331,0.00015598397,0.00007252913,0.00013783724],"category_scores_gemma":[0.000009215128,0.00013547754,0.00012787005,0.0003400989,0.000082377825,0.00027519086,0.000037675334,0.00016446941,0.00013706832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009438491,0.00008714765,0.015111639,0.000009421029,0.00005960558,0.00005422022,0.00016373313,0.00073085335,0.00008056348,0.981517,0.0017229057,0.00036848415],"study_design_scores_gemma":[0.0017148431,0.00022454227,0.10900316,0.00003790203,0.00006055941,0.00010797499,0.00020454255,0.0035563724,0.00014060205,0.76557493,0.118881255,0.0004933153],"about_ca_topic_score_codex":0.00003118512,"about_ca_topic_score_gemma":0.000029310022,"teacher_disagreement_score":0.21594211,"about_ca_system_score_codex":0.000056615394,"about_ca_system_score_gemma":0.00001790017,"threshold_uncertainty_score":0.5524614},"labels":[],"label_agreement":null},{"id":"W2095643770","doi":"","title":"Optimal Timing of Resource Development: A Comparison of Stopping Rules Under Certainty and Uncertainty *","year":2005,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Optimal stopping; Regret; Economics; Present value; Value (mathematics); Asset (computer security); Stopping time; Order (exchange); Net asset value; Certainty; Econometrics; Time value of money; Economic order quantity; Mathematical economics; Microeconomics; Mathematics; Computer science; Financial economics; Statistics; Finance; Business","score_opus":0.06119745836283157,"score_gpt":0.2624769877605422,"score_spread":0.2012795293977106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095643770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819005,0.006541574,0.0017321949,0.00023035081,0.000013918499,0.00006335137,0.000011432642,0.000012534009,0.00949413],"genre_scores_gemma":[0.9849618,0.00015035672,0.0138046015,0.00006328686,0.000019901843,0.0000023736295,0.00001591054,0.000008191509,0.0009735427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989359,0.000008046677,0.0006616805,0.0002047811,0.00003741906,0.00015218659],"domain_scores_gemma":[0.9994202,0.00005363145,0.00032103216,0.0001331545,0.000022154232,0.000049781116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025558923,0.00010264694,0.00042401126,0.00021935212,0.00006610946,0.000017324544,0.00009694481,0.00005741856,0.00031757224],"category_scores_gemma":[0.000018576837,0.00010138067,0.00007833009,0.00012941245,0.00008796116,0.00009605809,0.00006598381,0.00006169333,0.000023801907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056124278,0.00036290436,0.0718358,0.00011509932,0.00045787,4.503267e-7,0.009749258,0.061952535,0.00024300271,0.84461415,0.0009713116,0.009641486],"study_design_scores_gemma":[0.0021740617,0.0001794417,0.066114776,0.00012473701,0.00009658788,0.000003287736,0.010718545,0.8203841,0.009704134,0.010444145,0.07902005,0.0010361761],"about_ca_topic_score_codex":0.0002848528,"about_ca_topic_score_gemma":0.00011643378,"teacher_disagreement_score":0.83417,"about_ca_system_score_codex":0.00004971391,"about_ca_system_score_gemma":0.000012632321,"threshold_uncertainty_score":0.41341838},"labels":[],"label_agreement":null},{"id":"W2096765515","doi":"","title":"Keep Your Options Open: Extreme Programming and the Economics of Flexibility","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Flexibility (engineering); Asset (computer security); Economics; Risk analysis (engineering); Value (mathematics); Revenue; Business; Computer science; Actuarial science; Finance; Management","score_opus":0.12936484431925444,"score_gpt":0.2512609863788747,"score_spread":0.12189614205962024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096765515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90455943,0.0150266895,0.00032310872,0.0040569203,0.00014961047,0.00057225453,0.00007579334,0.00002281023,0.0752134],"genre_scores_gemma":[0.98925316,0.005079505,0.0030077822,0.000112894275,0.00003823692,0.000029701545,0.0000046975388,0.000008429868,0.002465574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992087,0.000013922769,0.00040058926,0.00023003608,0.000013402477,0.00013336402],"domain_scores_gemma":[0.99937946,0.00004039641,0.00021115293,0.00030905395,0.00001535105,0.000044566616],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046150823,0.000077237644,0.00030090523,0.000069891925,0.000112907175,0.000110779074,0.00023987627,0.000040706826,0.001026196],"category_scores_gemma":[0.000035911537,0.00006601986,0.000114847084,0.00012225102,0.00022158877,0.00018555488,0.00012924055,0.00006767967,0.00008073335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008895679,0.000069622416,0.0054438445,0.000007944512,0.00006591108,2.0931047e-7,0.0006223707,0.000043502103,0.000008706037,0.9873641,0.00019787392,0.0061670127],"study_design_scores_gemma":[0.0017586643,0.00006554999,0.0041673454,0.00000736979,0.000046587455,0.0000030992408,0.00054311357,0.099322274,0.00006331168,0.86789274,0.025881534,0.00024838507],"about_ca_topic_score_codex":0.00019026105,"about_ca_topic_score_gemma":0.00008339072,"teacher_disagreement_score":0.11947134,"about_ca_system_score_codex":0.000026213807,"about_ca_system_score_gemma":0.0000033494196,"threshold_uncertainty_score":0.999887},"labels":[],"label_agreement":null},{"id":"W2098422783","doi":"10.7202/803057ar","title":"La programmation déterministe du budget de capital : un modèle financier","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Cash flow; Dividend; Finance; Equity (law); Shareholder; Maximization; Constraint (computer-aided design); Term (time); Investment (military); Capital budgeting; Microeconomics; Business; Mathematics","score_opus":0.027386720345830524,"score_gpt":0.21596697894273506,"score_spread":0.18858025859690453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098422783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814828,0.0012055536,0.0011375797,0.0016368524,0.00010928744,0.00020465002,0.000052885178,0.000087106564,0.014083283],"genre_scores_gemma":[0.99407417,0.0007346974,0.0017362573,0.0011413059,0.0001951188,0.000043646454,0.000070438946,0.000020796546,0.001983573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99865466,0.000035792622,0.0005630529,0.0003833643,0.00001698125,0.00034616323],"domain_scores_gemma":[0.9991841,0.00005640481,0.000286835,0.0003223213,0.00002158438,0.00012880254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005404299,0.00020319918,0.0003859417,0.00018105093,0.000112760594,0.00017630504,0.0002205469,0.00019569996,0.00020125702],"category_scores_gemma":[0.00007397623,0.00022267131,0.00024440693,0.00015318094,0.00006649287,0.00036295046,0.0000327309,0.00015266622,0.00045607612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015131177,0.00017900765,0.0044043856,0.0000102353215,0.000054705622,0.000012966316,0.0021577985,0.000060953353,0.00008675532,0.98427826,0.00042140365,0.008318425],"study_design_scores_gemma":[0.0009654373,0.00024899596,0.05299101,0.000013430948,0.000034921526,0.000038765935,0.00023750913,0.009761553,0.0023960986,0.8288426,0.10376893,0.0007007773],"about_ca_topic_score_codex":0.00022840385,"about_ca_topic_score_gemma":0.000020705294,"teacher_disagreement_score":0.15543567,"about_ca_system_score_codex":0.00014915253,"about_ca_system_score_gemma":0.000042105075,"threshold_uncertainty_score":0.90802723},"labels":[],"label_agreement":null},{"id":"W2099601146","doi":"10.1111/j.1468-5957.2010.02232.x","title":"Getting Real with Real Options: A Utility–Based Approach for Finite–Time Investment in Incomplete Markets","year":2011,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Investment (military); Flexibility (engineering); Asset (computer security); Economics; Risk aversion (psychology); Value (mathematics); Microeconomics; Financial market; Econometrics; Net present value; Incomplete markets; Actuarial science; Financial economics; Finance; Computer science; Expected utility hypothesis; Mathematics; Statistics","score_opus":0.05791936140835412,"score_gpt":0.221420124852391,"score_spread":0.16350076344403686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099601146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697293,0.0031989492,0.021489177,0.00017704988,0.00016151606,0.0003828699,0.00005493941,0.00002253325,0.004783662],"genre_scores_gemma":[0.8978742,0.0019449919,0.099303,0.00025335225,0.00025204205,0.000053704945,0.000043463908,0.000051933155,0.0002233394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976901,0.000028176762,0.0013745544,0.0003743358,0.00011416416,0.000418703],"domain_scores_gemma":[0.99723446,0.00013490974,0.0019550237,0.00029431542,0.0003259402,0.00005532942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018390709,0.00025737865,0.0007851331,0.0007768835,0.00016677506,0.000112235815,0.00033671904,0.0001230339,0.00007031147],"category_scores_gemma":[0.00026324636,0.00023847632,0.00021566727,0.0010037675,0.00010296834,0.00085688947,0.000054235894,0.00024609274,0.00001436114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001925775,0.002232913,0.8813281,0.00076444534,0.00047168537,0.000073858886,0.0030722606,0.015729263,0.00021117768,0.09067275,0.0011572035,0.0023605754],"study_design_scores_gemma":[0.0036850218,0.0001686045,0.7557354,0.00044158628,0.0001090471,0.000026940206,0.00024278281,0.21626534,0.00005888606,0.018558253,0.0038845283,0.0008236454],"about_ca_topic_score_codex":0.00064460014,"about_ca_topic_score_gemma":0.00008316242,"teacher_disagreement_score":0.20053607,"about_ca_system_score_codex":0.00016806852,"about_ca_system_score_gemma":0.000111324756,"threshold_uncertainty_score":0.9724782},"labels":[],"label_agreement":null},{"id":"W2100244652","doi":"10.1179/174328608x362631","title":"Process to improve expected value of mining operations","year":2008,"lang":"en","type":"article","venue":"Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Process (computing); Value (mathematics); Process engineering; Computer science; Engineering; Machine learning; Operating system","score_opus":0.031007583508558735,"score_gpt":0.24042405071700376,"score_spread":0.20941646720844503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100244652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702406,0.001091529,0.026736706,0.00059357635,0.00038009736,0.0001696978,0.000050300132,0.000052985455,0.00068451185],"genre_scores_gemma":[0.98339057,0.0002237067,0.015564781,0.000020521014,0.000017032407,0.00006260227,0.0000031368115,0.000011266542,0.000706355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987283,0.000016003476,0.00074290956,0.00029102928,0.00006190105,0.00015987869],"domain_scores_gemma":[0.9990983,0.000040037663,0.00031074905,0.00037650883,0.0001286006,0.000045827484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018999493,0.00014375613,0.00044949306,0.0010822356,0.00045822308,0.0000067624946,0.0002502568,0.00017648179,0.000049920953],"category_scores_gemma":[0.00019824566,0.0001366565,0.00018638287,0.0014134326,0.0006154444,0.00017554272,0.000027667083,0.00012681737,0.0000023254386],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002293135,0.0026981297,0.044235725,0.00039495237,0.003963718,0.000007697923,0.054137852,0.2775846,0.071350895,0.5391762,0.00027537186,0.0059455214],"study_design_scores_gemma":[0.011760048,0.005553568,0.050176024,0.0018347785,0.0032349224,0.0010374928,0.12809177,0.16543886,0.60319614,0.011763772,0.013706737,0.004205882],"about_ca_topic_score_codex":0.00029516825,"about_ca_topic_score_gemma":0.0002624863,"teacher_disagreement_score":0.5318453,"about_ca_system_score_codex":0.000039890387,"about_ca_system_score_gemma":0.00010656216,"threshold_uncertainty_score":0.55726904},"labels":[],"label_agreement":null},{"id":"W2100302370","doi":"10.1017/s0022109014000337","title":"Leaders, Followers, and Risk Dynamics in Industry Equilibrium","year":2014,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intuition; Hedge; Economics; Microeconomics; Business; Industrial organization","score_opus":0.028263530956077847,"score_gpt":0.25269996359646785,"score_spread":0.22443643264039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100302370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842117,0.011990058,0.0026178246,0.000481836,0.00008195047,0.00003226364,0.000043770957,0.0000026677642,0.00053796056],"genre_scores_gemma":[0.99320054,0.005218404,0.0011761569,0.00009528949,0.00006371664,8.843437e-7,0.000005470348,0.0000074266986,0.00023213543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872917,0.000054238095,0.00075834466,0.0002173382,0.000058426274,0.00018248822],"domain_scores_gemma":[0.9988058,0.00013046767,0.0007998923,0.00010099876,0.000060229457,0.00010260509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010719943,0.00013825324,0.0007814284,0.0011215627,0.00006819772,0.000058237783,0.00009946516,0.00016703673,0.000035901707],"category_scores_gemma":[0.00045966302,0.00012823987,0.00030150378,0.0010493153,0.00016441087,0.00032637487,0.000035813842,0.00040690298,0.0000065528498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003675991,0.000056086898,0.71725464,0.000008627022,0.0004863193,0.000007473561,0.00060544163,0.00018773081,0.0000051619204,0.2805237,0.00010092032,0.0007271863],"study_design_scores_gemma":[0.0010132585,0.0004759083,0.80594957,0.000027570688,0.00088940834,0.000004835828,0.0017476013,0.103842214,0.00001111066,0.08449411,0.0012240936,0.0003202973],"about_ca_topic_score_codex":0.0007587672,"about_ca_topic_score_gemma":0.0017095982,"teacher_disagreement_score":0.19602957,"about_ca_system_score_codex":0.000066565124,"about_ca_system_score_gemma":0.000017756807,"threshold_uncertainty_score":0.522947},"labels":[],"label_agreement":null},{"id":"W2101058764","doi":"10.1016/j.insmatheco.2005.06.012","title":"Financial valuation of guaranteed minimum withdrawal benefits","year":2005,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":271,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; York University","funders":"University of Illinois at Urbana-Champaign; University of Michigan","keywords":"Arbitrage; Valuation (finance); Economics; Payment; Actuarial science; Annuity; Strike price; Product (mathematics); Financial economics; Microeconomics; Business; Finance; Life annuity; Volatility (finance)","score_opus":0.030896410617728378,"score_gpt":0.20754946671522095,"score_spread":0.17665305609749257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101058764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901466,0.0056842566,0.0003176577,0.00023059465,0.00011727302,0.00013400703,0.00017133147,0.000013957675,0.0031843167],"genre_scores_gemma":[0.99014765,0.0032363185,0.0061186985,0.00014363797,0.00011794311,0.00001147751,0.0000102958575,0.000018089771,0.00019591626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987483,0.0000031381232,0.0008008483,0.0002451248,0.000023794211,0.00017879774],"domain_scores_gemma":[0.9991524,0.000041572046,0.00050458993,0.00022891701,0.000028509574,0.000043992528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034518426,0.00014886732,0.00048346777,0.00016125044,0.00007377012,0.000046399644,0.0001284157,0.00009125893,0.00007009211],"category_scores_gemma":[0.000053897274,0.00016293157,0.00012480558,0.000100242454,0.00008263942,0.00021125775,0.000037493162,0.000065745364,0.0001180154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010585576,0.00013361828,0.01225474,0.000052368505,0.000048610662,1.6996785e-7,0.0012467314,0.0012959553,0.000026355987,0.9825249,0.00007662814,0.0023293388],"study_design_scores_gemma":[0.0018941162,0.00015748857,0.04108889,0.00008101794,0.000048694536,0.00001364328,0.0002520016,0.28039238,0.0011416563,0.66852176,0.005673609,0.0007347621],"about_ca_topic_score_codex":0.000041956006,"about_ca_topic_score_gemma":0.00008467257,"teacher_disagreement_score":0.31400317,"about_ca_system_score_codex":0.000037776583,"about_ca_system_score_gemma":0.0000152208895,"threshold_uncertainty_score":0.6644156},"labels":[],"label_agreement":null},{"id":"W2101364874","doi":"10.1111/1080-8620.00006","title":"Permits, Starts, and Completions: Structural Relationships Versus Real Options","year":2001,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Real estate; Proxy (statistics); Econometrics; Economics; Quarter (Canadian coin); Process (computing); Computer science; Operations research; Mathematics; Statistics; Finance","score_opus":0.08439049662926935,"score_gpt":0.2509644030671689,"score_spread":0.16657390643789954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101364874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94248277,0.0013815507,0.000017840688,0.00056048506,0.0003402562,0.00013750614,0.00031249743,0.000057266716,0.054709833],"genre_scores_gemma":[0.68260854,0.31451678,0.00105083,0.000033195513,0.00015221519,0.000016001008,0.00034538054,0.00002995712,0.0012471341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986986,0.000022018374,0.0005774438,0.00040152858,0.000018095529,0.00028231426],"domain_scores_gemma":[0.9992251,0.00011269551,0.00018890397,0.00028789352,0.00002313899,0.00016226209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024743972,0.00017807558,0.0003409558,0.0002431828,0.00039824267,0.00014555568,0.00012142714,0.00009718971,0.00027928283],"category_scores_gemma":[0.00003015037,0.00021316057,0.00012086522,0.00015404943,0.00013666663,0.00043764687,0.000056729412,0.00018058093,0.00033640442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045452714,0.00002102053,0.045441236,0.000005406067,0.000093575836,0.0000035289443,0.00047023915,0.0009179167,0.0000014259906,0.95181173,0.00022375415,0.00096473773],"study_design_scores_gemma":[0.003465946,0.00026996384,0.48685694,0.000013046565,0.00013409989,0.000048886628,0.0031229663,0.18029071,0.0000056734893,0.21079813,0.113693416,0.0013002143],"about_ca_topic_score_codex":0.0035664486,"about_ca_topic_score_gemma":0.0033940044,"teacher_disagreement_score":0.7410136,"about_ca_system_score_codex":0.00028629118,"about_ca_system_score_gemma":0.000023043749,"threshold_uncertainty_score":0.86924356},"labels":[],"label_agreement":null},{"id":"W2102333306","doi":"10.1111/j.1467-8276.2007.01016.x","title":"Strike When the Force Is with You: Optimal Stopping with Application to Resource Equilibria","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Foundation for Community Association Research","keywords":"Non-renewable resource; Economic rent; Resource (disambiguation); Economics; Microeconomics; Investment (military); Value (mathematics); Optimal stopping; Natural resource economics; Present value; Path (computing); Finance; Computer science; Financial economics; Renewable energy","score_opus":0.008007514831341487,"score_gpt":0.1875831639434542,"score_spread":0.1795756491121127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102333306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98705876,0.0005412238,0.0054160557,0.005141363,0.000041240295,0.00017928658,0.000020561409,0.000009987629,0.0015915356],"genre_scores_gemma":[0.991166,0.00023916131,0.0058556944,0.0014980029,0.000317883,0.000004931287,0.000009310666,0.000020627485,0.00088836515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986286,0.000010429163,0.00072724675,0.00026520362,0.000053582073,0.00031490152],"domain_scores_gemma":[0.9980675,0.0000686379,0.0013406659,0.00023775808,0.0000878185,0.00019763979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005274479,0.00019528906,0.000493847,0.00017128329,0.00013715177,0.00013557708,0.0004026505,0.000034665514,0.000031323103],"category_scores_gemma":[0.000009820659,0.000109681765,0.0001672906,0.00038316695,0.0001585541,0.00035819126,0.000047442656,0.00019489884,0.000042853804],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004596309,0.00076143077,0.13878958,0.000055711967,0.006679261,0.000047340574,0.047512297,0.1960202,0.0020216797,0.5111255,0.026760982,0.06562972],"study_design_scores_gemma":[0.0048760697,0.010758733,0.47010893,0.0001818662,0.000708399,0.0012333785,0.074519165,0.00700698,0.0032749642,0.00596936,0.41793233,0.0034298378],"about_ca_topic_score_codex":0.00020489965,"about_ca_topic_score_gemma":0.00011927423,"teacher_disagreement_score":0.5051561,"about_ca_system_score_codex":0.00020649914,"about_ca_system_score_gemma":0.000023595512,"threshold_uncertainty_score":0.44726926},"labels":[],"label_agreement":null},{"id":"W2103196404","doi":"10.1108/14757700610646943","title":"R&amp;D strategy and stock price volatility in the biotechnology industry","year":2006,"lang":"en","type":"article","venue":"Review of Accounting and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Volatility (finance); Diversification (marketing strategy); Economics; Share price; Price discovery; Financial economics; Stock (firearms); Market share; Monetary economics; Econometrics; Business; Marketing; Finance; Stock exchange","score_opus":0.026588048586054392,"score_gpt":0.24366899230781494,"score_spread":0.21708094372176054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103196404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6041035,0.3933675,0.000016928423,0.0007039168,0.0000127965595,0.00009759712,0.000011982878,0.0000045440725,0.0016812388],"genre_scores_gemma":[0.75284743,0.24653627,0.00017354658,0.0002096988,0.00002367154,0.0000085754355,0.000005456908,0.0000039762717,0.00019137422],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991221,0.000012845379,0.00047847047,0.00022322174,0.000025924171,0.00013745159],"domain_scores_gemma":[0.9993902,0.000039393064,0.0003384694,0.00021023996,0.000015450702,0.0000062457643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007541311,0.00009322105,0.00035925166,0.00008734476,0.000052666448,0.000025075204,0.0001208177,0.00013472546,0.000015273594],"category_scores_gemma":[0.00007073223,0.000074796735,0.000046467907,0.0003929601,0.00010500173,0.00011852539,0.000035462468,0.00023061686,0.000006094519],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028289921,0.00009241304,0.24259908,0.0015390833,0.000014183613,0.0000016209433,0.00007638654,0.000006983176,0.000011206077,0.7457307,0.0010911116,0.008834428],"study_design_scores_gemma":[0.0003538204,0.00005358071,0.67735314,0.0014538177,0.000031821914,0.000015108756,0.00007318737,0.0022352233,0.00002049013,0.07240393,0.24565555,0.00035030404],"about_ca_topic_score_codex":0.0006686337,"about_ca_topic_score_gemma":0.000069120986,"teacher_disagreement_score":0.67332673,"about_ca_system_score_codex":0.000010935835,"about_ca_system_score_gemma":0.0000074140667,"threshold_uncertainty_score":0.30501223},"labels":[],"label_agreement":null},{"id":"W2107537915","doi":"10.2139/ssrn.2326253","title":"The Probability of Back-Test Over-Fitting","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Society of Canada","funders":"","keywords":"Portfolio; Econometrics; Context (archaeology); Computer science; Investment (military); Investment strategy; Mathematical optimization; Economics; Mathematics; Financial economics; Finance","score_opus":0.012181606324813674,"score_gpt":0.1953488018653037,"score_spread":0.18316719554049005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107537915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94364965,0.048915707,0.00033081372,0.0016052014,0.00016083603,0.00018310783,0.0000057830784,0.000009508934,0.005139397],"genre_scores_gemma":[0.97245073,0.022891816,0.00009828646,0.00004246085,0.00012677528,0.000006282946,0.0000013958396,0.000011504644,0.0043707592],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819285,0.000017207141,0.00058799045,0.00015447578,0.000046231395,0.0010012316],"domain_scores_gemma":[0.99908274,0.000119171214,0.00048529942,0.00021016519,0.000052167816,0.00005042957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016013462,0.000097175995,0.00022315112,0.00007562743,0.0002302187,0.00009762333,0.00026847605,0.000047116366,0.00036019628],"category_scores_gemma":[0.00018942314,0.00007052322,0.00022182924,0.00019274946,0.000087504406,0.00022478079,0.000037066795,0.0005926963,0.0004342916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027820106,0.000055407032,0.068912916,0.0000037383693,0.00010885819,7.501517e-8,0.000065700224,0.000012935437,0.000036058747,0.9289387,0.00027339303,0.0015894528],"study_design_scores_gemma":[0.00021285497,0.00011109258,0.013851998,0.0000041898443,0.000009212161,0.000009854567,0.00028920974,0.0015126497,0.000038800783,0.98154414,0.002319271,0.00009673412],"about_ca_topic_score_codex":0.0005539044,"about_ca_topic_score_gemma":0.00046587316,"teacher_disagreement_score":0.05506092,"about_ca_system_score_codex":0.00033663705,"about_ca_system_score_gemma":0.00014936898,"threshold_uncertainty_score":0.55820847},"labels":[],"label_agreement":null},{"id":"W2110424412","doi":"10.1111/j.1467-2979.2007.00270.x","title":"Real options for precautionary fisheries management","year":2008,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"College of Engineering, Michigan State University; Michigan State University; Great Lakes Fishery Commission","keywords":"Precautionary principle; Risk analysis (engineering); Risk management; Rubric; Fisheries management; Business; Investment (military); Risk aversion (psychology); Economics; Actuarial science; Expected utility hypothesis; Fishery; Fishing; Finance; Financial economics","score_opus":0.04032057475789731,"score_gpt":0.20460009186460562,"score_spread":0.1642795171067083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110424412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8052744,0.010616565,0.0007767746,0.011110884,0.00075951545,0.0008349588,0.0013191046,0.0002371727,0.16907062],"genre_scores_gemma":[0.61001444,0.19600256,0.019733133,0.0025688587,0.000670109,0.0008531195,0.001113425,0.00009161259,0.16895278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992272,0.0000043585756,0.00028019704,0.00027205836,0.00002559298,0.00019054221],"domain_scores_gemma":[0.9996481,0.000022914955,0.00008931349,0.00015792526,0.000018463246,0.000063299834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000079176054,0.00011752309,0.00022867204,0.00010110158,0.0003652646,0.00006035033,0.000082560204,0.00006308644,0.00032562783],"category_scores_gemma":[0.000011910779,0.00012790202,0.00011467065,0.000120559445,0.0001759669,0.0003119542,0.000047601457,0.000044678054,0.0000324574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003925041,0.00008412035,0.08460174,0.00006358371,0.00018183504,0.000008065664,0.0010177405,0.0000041811536,0.0000020411699,0.7164584,0.19716355,0.0003755001],"study_design_scores_gemma":[0.0005536501,0.00012176498,0.26896593,0.0000075613784,0.000030145848,0.000011633705,0.00039095624,0.00074070686,0.000017689783,0.106672384,0.6221584,0.0003291529],"about_ca_topic_score_codex":0.000122317,"about_ca_topic_score_gemma":0.00007031819,"teacher_disagreement_score":0.60978603,"about_ca_system_score_codex":0.00002375755,"about_ca_system_score_gemma":0.00000520014,"threshold_uncertainty_score":0.5215693},"labels":[],"label_agreement":null},{"id":"W2110556499","doi":"10.2139/ssrn.243671","title":"Risk Premia and Premption in R&amp;D Ventures","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Risk premium; Economics; Monetary economics","score_opus":0.00887712145456283,"score_gpt":0.20176843037419753,"score_spread":0.1928913089196347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110556499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9028114,0.09494213,0.00007832006,0.0001866391,0.00004509502,0.000053371376,0.0000060368448,0.000008202093,0.0018687773],"genre_scores_gemma":[0.77296984,0.22247113,0.000042326028,0.000030818224,0.00009264832,0.0000024060892,0.0000043228893,0.000008477212,0.0043780333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987032,0.000020693631,0.00032225283,0.00017983599,0.000029530152,0.0007444784],"domain_scores_gemma":[0.9996845,0.00001205152,0.0001506692,0.0000993919,0.0000065070794,0.00004687401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087930827,0.00009159417,0.0001834671,0.00019351528,0.00010127138,0.00005987125,0.00009116767,0.00006527837,0.00045334146],"category_scores_gemma":[0.000020470532,0.00009119417,0.00008604733,0.00015281705,0.00002664455,0.00019374434,0.00000940963,0.00073561404,0.00021876754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055354547,0.000091154136,0.20582947,0.000004140026,0.00016179985,0.0000015599071,0.00060522876,0.00030510582,0.000012569361,0.77440155,0.00016712675,0.018364964],"study_design_scores_gemma":[0.000501038,0.00007378685,0.053669892,0.000006285459,0.000016003494,0.00003910319,0.000100937315,0.0006260405,0.000004157886,0.93533814,0.009485604,0.0001389832],"about_ca_topic_score_codex":0.00048871856,"about_ca_topic_score_gemma":0.002578507,"teacher_disagreement_score":0.16093664,"about_ca_system_score_codex":0.00033839126,"about_ca_system_score_gemma":0.000055773326,"threshold_uncertainty_score":0.4963771},"labels":[],"label_agreement":null},{"id":"W2111681941","doi":"10.1002/fut.20528","title":"A random walk down the options market","year":2011,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Random walk; Econometrics; Martingale (probability theory); Random walk hypothesis; Autocorrelation; Autoregressive model; Mathematics; Martingale difference sequence; Variance (accounting); Economics; Efficient-market hypothesis; Statistics; Geography","score_opus":0.02664214165191886,"score_gpt":0.2015298371880359,"score_spread":0.17488769553611705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111681941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5929907,0.09789165,0.00038450176,0.0035933005,0.0031106917,0.00025261883,0.00006136736,0.000020986252,0.30169418],"genre_scores_gemma":[0.9696279,0.021306908,0.0012472494,0.00056696194,0.0007418497,0.000008232531,0.0000017439961,0.000018057246,0.0064810985],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99892473,0.00005337325,0.0006681665,0.00011660646,0.000063746054,0.00017338464],"domain_scores_gemma":[0.9988658,0.00009008328,0.00066699175,0.00022749737,0.000059379618,0.0000902691],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013606227,0.000115432034,0.00035006093,0.00025494568,0.00016086755,0.00006315687,0.00034339278,0.000057702713,0.005695794],"category_scores_gemma":[0.00012479324,0.000074137424,0.00046739876,0.0002093702,0.000068892754,0.00026579815,0.000038367383,0.00022569834,0.00008297892],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019740826,0.0006203652,0.030591581,0.000034591205,0.0019957935,0.00012321597,0.004297262,0.000023145554,0.000034897646,0.33109787,0.6232676,0.005939572],"study_design_scores_gemma":[0.0025501612,0.00017289982,0.57942533,0.00003163105,0.00017519205,0.00014400986,0.00073349435,0.0006238193,0.00006255359,0.09394444,0.32181045,0.00032602306],"about_ca_topic_score_codex":0.00005325141,"about_ca_topic_score_gemma":0.000023813409,"teacher_disagreement_score":0.5488337,"about_ca_system_score_codex":0.000037484973,"about_ca_system_score_gemma":0.000015916703,"threshold_uncertainty_score":0.99521315},"labels":[],"label_agreement":null},{"id":"W2112295864","doi":"10.1111/0002-9092.00045","title":"The Economic Threshold with a Stochastic Pest Population: A Real Options Approach","year":2000,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"PEST analysis; Pest control; Randomness; Integrated pest management; Population; Economic threshold; Agriculture; Sensitivity (control systems); Mathematics; Econometrics; Agricultural engineering; Statistics; Ecology; Biology; Engineering","score_opus":0.010243581214599989,"score_gpt":0.18822614026743714,"score_spread":0.17798255905283716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112295864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921757,0.0018139901,0.000030667466,0.00090036285,0.00012593517,0.000112994436,0.000035607678,0.000011978174,0.0047927564],"genre_scores_gemma":[0.9890355,0.008552102,0.0009105642,0.00007575462,0.0003950653,0.00000898732,0.000025067045,0.00001699482,0.0009799658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985631,0.000016103411,0.0008762567,0.00023856775,0.000031714717,0.00027423413],"domain_scores_gemma":[0.9984728,0.0000604072,0.001066543,0.00021558019,0.000031362648,0.00015329305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027710065,0.00019917231,0.00055461377,0.00010650933,0.00029289123,0.00022676728,0.00034993005,0.000038075457,0.0001471589],"category_scores_gemma":[0.000004890113,0.00012006363,0.00029608497,0.0001848277,0.00023905204,0.00045803495,0.000019222653,0.00020369253,0.00013449565],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019347268,0.00011625782,0.008543073,0.000003883086,0.000832859,0.0000025059705,0.0007086209,0.42542332,0.0000020549662,0.5590663,0.0010217656,0.004085906],"study_design_scores_gemma":[0.003581739,0.0032324283,0.86936396,0.00005970505,0.0005237842,0.001517091,0.010413482,0.055481803,0.000009451759,0.041445863,0.012040341,0.0023303505],"about_ca_topic_score_codex":0.00073457445,"about_ca_topic_score_gemma":0.00025137956,"teacher_disagreement_score":0.8608209,"about_ca_system_score_codex":0.0003787935,"about_ca_system_score_gemma":0.00003720265,"threshold_uncertainty_score":0.48960528},"labels":[],"label_agreement":null},{"id":"W2115982908","doi":"10.1109/tnet.2002.801416","title":"Managing capacity for telecommunications networks under uncertainty","year":2002,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Networking","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Computer science; Capacity planning; Upgrade; Telecommunications; Revenue; Bandwidth (computing); Broadband; Notice; Operations research; Business; Finance","score_opus":0.09732849604555749,"score_gpt":0.2414378003609132,"score_spread":0.1441093043153557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115982908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005558656,0.0089328475,0.9761666,0.0028249102,0.001452903,0.00041176027,0.00006525094,0.0001625215,0.004424524],"genre_scores_gemma":[0.98221844,0.008416372,0.0063471,0.00078562077,0.0003850101,0.00014520645,0.000018026209,0.00004519074,0.00163903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985533,0.000025524958,0.0005300488,0.00040976523,0.000042733842,0.00043864342],"domain_scores_gemma":[0.99859565,0.00025660032,0.00021446268,0.00080200174,0.000031024432,0.000100255915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029310625,0.00020866237,0.00034591724,0.00027895006,0.0007459497,0.00012213072,0.0004155561,0.0001359311,0.00039948296],"category_scores_gemma":[0.000007082466,0.00024310757,0.00037168068,0.0005476305,0.00008287048,0.00017525327,0.0000064071883,0.0003274616,0.0001365052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010038706,0.00017796196,0.00014260203,0.000008676502,0.00024670883,4.4492188e-7,0.00021985534,0.9363725,0.0000026509279,0.043890696,0.0012964361,0.017631402],"study_design_scores_gemma":[0.00044655672,0.000050969316,0.00008688235,0.000030761952,0.00006408625,0.0000022652182,0.00006767453,0.88412756,0.0000116493475,0.07737387,0.03738826,0.0003494909],"about_ca_topic_score_codex":0.00022099269,"about_ca_topic_score_gemma":0.00039854093,"teacher_disagreement_score":0.9766598,"about_ca_system_score_codex":0.00018406034,"about_ca_system_score_gemma":0.000003519296,"threshold_uncertainty_score":0.9913639},"labels":[],"label_agreement":null},{"id":"W2116960496","doi":"10.7202/1008658ar","title":"Incertitude environnementale, aversion au risque du dirigeant et investissement productif des petites et moyennes entreprises","year":2012,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.022694833891438202,"score_gpt":0.23854361788271827,"score_spread":0.21584878399128007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116960496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8833606,0.020352745,0.0019314545,0.08888582,0.001572047,0.0005666428,0.0004734802,0.00010067127,0.0027564834],"genre_scores_gemma":[0.5965898,0.32096425,0.01754255,0.0018221018,0.0013195027,0.00020735073,0.000851546,0.000117280615,0.060585603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99583673,0.0006377337,0.0013820061,0.0011354757,0.0001693237,0.00083871454],"domain_scores_gemma":[0.9944965,0.0030094811,0.0011587017,0.0007296193,0.00013878774,0.0004668854],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0030547935,0.00064851664,0.0007549384,0.0007299921,0.000282648,0.00050676754,0.00053141266,0.00031946856,0.0035736277],"category_scores_gemma":[0.0034479445,0.0008122937,0.0005545186,0.0002866735,0.00063712685,0.0023565064,0.0005700816,0.00069504,0.0019329131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006602027,0.0019152862,0.7087691,0.0002504418,0.0006178736,0.00003218348,0.0062919836,0.021226207,0.00019269907,0.2486146,0.0051983744,0.006825281],"study_design_scores_gemma":[0.0017660875,0.00014798605,0.6407519,0.0011460372,0.00031556326,0.00016536923,0.00063894223,0.0128261,0.0015901348,0.035573762,0.30373207,0.0013460716],"about_ca_topic_score_codex":0.0030259755,"about_ca_topic_score_gemma":0.0012841005,"teacher_disagreement_score":0.3006115,"about_ca_system_score_codex":0.0027691405,"about_ca_system_score_gemma":0.00017782109,"threshold_uncertainty_score":0.9994328},"labels":[],"label_agreement":null},{"id":"W2119067545","doi":"10.1002/jcaf.21754","title":"Rational expense reduction: Lean budgeting at Irving Oil","year":2012,"lang":"en","type":"article","venue":"Journal of Corporate Accounting & Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dysfunctional family; Recession; Business; Economics; Finance; Management; Macroeconomics","score_opus":0.049480075531427505,"score_gpt":0.22176609573796058,"score_spread":0.17228602020653308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119067545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698682,0.024038259,0.00018404149,0.00047745492,0.0014788943,0.00002697257,0.0000075654502,0.0000135205455,0.0039051294],"genre_scores_gemma":[0.98718834,0.0028117169,0.002440057,0.00015500993,0.0017471593,0.0000028021323,0.0000073202027,0.000025228783,0.005622368],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981924,0.00001515645,0.0011326139,0.00018919808,0.000118210104,0.00035237498],"domain_scores_gemma":[0.99580353,0.000048600556,0.003693108,0.00019346086,0.00018230028,0.0000790108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015244642,0.00017209178,0.00045394263,0.00029828458,0.00031836814,0.00010640319,0.00021972122,0.00008663077,0.00028976478],"category_scores_gemma":[0.00014441581,0.00017756526,0.00025652384,0.00040274177,0.00007942588,0.0014364368,0.00007484543,0.0002469122,0.00035231473],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001954431,0.00044181617,0.5035052,0.00009646782,0.00033245975,0.00004503753,0.0030671705,0.0024972179,0.0068671945,0.44795045,0.03055675,0.0044448157],"study_design_scores_gemma":[0.005363271,0.0006118283,0.2974651,0.0008190698,0.00036698845,0.002262974,0.0022805505,0.010590642,0.016359799,0.1435346,0.5166837,0.003661496],"about_ca_topic_score_codex":0.000025705951,"about_ca_topic_score_gemma":0.0000037538848,"teacher_disagreement_score":0.48612693,"about_ca_system_score_codex":0.00021075015,"about_ca_system_score_gemma":0.000036267193,"threshold_uncertainty_score":0.72409016},"labels":[],"label_agreement":null},{"id":"W2119663907","doi":"10.1287/msom.1120.0386","title":"Seasonal Energy Storage Operations with Limited Flexibility: The Price-Adjusted Rolling Intrinsic Policy","year":2012,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Leverage (statistics); Flexibility (engineering); Heuristic; Value (mathematics); Economics; Microeconomics; Mathematical optimization; Computer science; Econometrics; Operations research; Mathematics","score_opus":0.029664604995464992,"score_gpt":0.22131306519519928,"score_spread":0.19164846019973428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119663907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95213544,0.0033132622,0.014646334,0.0130175315,0.0003271296,0.0008261118,0.0000763374,0.00019068294,0.015467174],"genre_scores_gemma":[0.9870643,0.00066679,0.0021086126,0.0037365132,0.00038665338,0.0002094355,0.00019366562,0.000039345043,0.0055946694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983759,0.000045458146,0.00051360927,0.00044449297,0.00012185836,0.0004986766],"domain_scores_gemma":[0.99892455,0.000028822993,0.00010164895,0.00073412707,0.00005822969,0.00015263462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004091465,0.00027966575,0.00029379633,0.0004412001,0.0008550717,0.00046631048,0.000382146,0.00006493197,0.00045491743],"category_scores_gemma":[0.00001032898,0.00021872214,0.00011159557,0.0007797321,0.00004559644,0.0007372582,0.00022858728,0.00016721283,0.0003713627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019047517,0.0003139218,0.0011035945,0.000050639763,0.0005187651,0.00000317136,0.001573956,0.24685013,0.00000632019,0.74783576,0.00022670001,0.0014979913],"study_design_scores_gemma":[0.0032573028,0.00021629885,0.19414131,0.00011409147,0.0006856847,0.000023576866,0.0054673776,0.5197113,0.0021017077,0.0066250535,0.26522636,0.0024299088],"about_ca_topic_score_codex":0.0037232954,"about_ca_topic_score_gemma":0.0030966387,"teacher_disagreement_score":0.7412107,"about_ca_system_score_codex":0.0002978533,"about_ca_system_score_gemma":0.000024088753,"threshold_uncertainty_score":0.891923},"labels":[],"label_agreement":null},{"id":"W2122820497","doi":"10.2139/ssrn.1629205","title":"Cost Efficiency Estimations and the Equity Returns for the US Public Solar Energy Firms in 1990-2008","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Equity (law); Economics; Business; Financial economics; Monetary economics; Political science","score_opus":0.026290594135626948,"score_gpt":0.24937902386364935,"score_spread":0.2230884297280224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122820497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6794645,0.19378883,0.07312384,0.047833577,0.0013667155,0.0009832393,0.00008967533,0.00004046324,0.003309168],"genre_scores_gemma":[0.97048324,0.028254755,0.00006861936,0.00023503826,0.000173297,0.000039092392,0.000006946286,0.000011566547,0.00072746817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983754,0.000021077398,0.00040269288,0.00017640003,0.000049015165,0.00097538973],"domain_scores_gemma":[0.99923384,0.0002049183,0.00026278335,0.00021021758,0.000033227796,0.000054992055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029702531,0.00011013945,0.00022003529,0.00017499532,0.0005688771,0.00024696317,0.000360527,0.00007200578,0.000049392613],"category_scores_gemma":[0.00026698632,0.00006755584,0.000169606,0.0002895193,0.00020143129,0.00021392514,0.00006390125,0.0009487293,0.000010762912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013658307,0.000038790145,0.0025918367,0.0000011918387,0.000072929746,1.9970396e-7,0.00017629497,0.00008674653,0.0000053848044,0.9941438,0.00011230245,0.0027568962],"study_design_scores_gemma":[0.0012037121,0.00005605355,0.002053443,0.0000020306838,0.000029417362,0.000051562154,0.00025930218,0.083165854,0.000007424334,0.8968742,0.01617275,0.00012426522],"about_ca_topic_score_codex":0.0008578243,"about_ca_topic_score_gemma":0.023448337,"teacher_disagreement_score":0.29101872,"about_ca_system_score_codex":0.00018556601,"about_ca_system_score_gemma":0.0002409386,"threshold_uncertainty_score":0.9943712},"labels":[],"label_agreement":null},{"id":"W2123333349","doi":"","title":"The time value of options and writing strategies","year":2010,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Value (mathematics); Business; Computer science","score_opus":0.006908095862698776,"score_gpt":0.15353898326231613,"score_spread":0.14663088739961735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123333349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99154264,0.0006917374,0.000377057,0.0011524651,0.00008325109,0.00018347776,0.00052111136,0.00006840622,0.0053798365],"genre_scores_gemma":[0.97371924,0.0013325972,0.006576758,0.000014299888,0.000022883754,8.351278e-9,0.000052609907,0.000015892554,0.018265719],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9987701,0.00006011013,0.0002888174,0.00044586346,0.000120427874,0.00031467635],"domain_scores_gemma":[0.9982885,0.00020481252,0.00071635144,0.000504684,0.00009126476,0.00019436474],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029227772,0.00022899013,0.00062414835,0.00048440977,0.00072906696,0.000037933776,0.00093451334,0.00025006093,0.00094367954],"category_scores_gemma":[0.000007618212,0.00030437284,0.00039959236,0.0006625007,0.0017293826,0.0019006339,0.0005387055,0.00036239205,0.000050788185],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012393595,0.0010940488,0.07107297,0.0005535606,0.00268817,0.00023042082,0.39223963,0.0005479585,0.015306437,0.5095794,0.0024526664,0.0029953562],"study_design_scores_gemma":[0.0015144377,0.00017127748,0.020314435,0.000054946202,0.00021822711,0.0000052994164,0.9519074,0.0017241715,0.00037479692,0.015037309,0.008205962,0.00047175188],"about_ca_topic_score_codex":0.014382383,"about_ca_topic_score_gemma":0.004417283,"teacher_disagreement_score":0.55966777,"about_ca_system_score_codex":0.0000398294,"about_ca_system_score_gemma":0.00026088153,"threshold_uncertainty_score":0.9999696},"labels":[],"label_agreement":null},{"id":"W2124158557","doi":"10.1111/j.1468-0475.2009.00488.x","title":"Extracting Resource Deposits of Unknown Size: Optimal Order","year":2009,"lang":"en","type":"article","venue":"German Economic Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Extraction (chemistry); Order (exchange); Stock (firearms); Economics; Shadow (psychology); Resource (disambiguation); First order; Econometrics; Mathematical optimization; Computer science; Mathematics; Applied mathematics; Materials science; Chemistry","score_opus":0.02246717894336454,"score_gpt":0.26260922639096157,"score_spread":0.24014204744759704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124158557","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23990276,0.6848038,0.00010393583,0.0026543331,0.0001972662,0.00046906032,0.000034932375,0.000053661435,0.07178026],"genre_scores_gemma":[0.621959,0.36327142,0.002806435,0.0048651337,0.00031958718,0.00002392725,0.000050998515,0.000049903418,0.00665363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998166,0.000020276502,0.0011420881,0.0003802046,0.00002977298,0.00026165982],"domain_scores_gemma":[0.99859405,0.00006526779,0.00078018365,0.00044495755,0.00002556698,0.00008995918],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00068744214,0.00018524696,0.0008226746,0.00010610161,0.0000701129,0.000037453538,0.00026558328,0.000069228874,0.0010298258],"category_scores_gemma":[0.00010246852,0.00019768931,0.00032128324,0.0001725205,0.000039842467,0.00024883036,0.00003793414,0.00012309066,0.001093425],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029887522,0.00034231693,0.004553224,0.0014276147,0.00051640347,0.000019607907,0.0005812856,0.00075347914,0.000121518075,0.88302314,0.050282806,0.058348704],"study_design_scores_gemma":[0.0006836069,0.0001539751,0.008877496,0.00085024064,0.00017914252,0.00003747456,0.00002504679,0.0023286648,0.000265992,0.011134853,0.9746204,0.00084308104],"about_ca_topic_score_codex":0.000041796713,"about_ca_topic_score_gemma":0.00001988915,"teacher_disagreement_score":0.9243376,"about_ca_system_score_codex":0.000117883836,"about_ca_system_score_gemma":0.000023488217,"threshold_uncertainty_score":0.99988335},"labels":[],"label_agreement":null},{"id":"W2127425111","doi":"10.2308/jis.2006.20.1.19","title":"The Moderating Effect of Context on the Market Reaction to IT Investments","year":2006,"lang":"en","type":"article","venue":"Journal of Information Systems","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Event study; Investment (military); Context (archaeology); Enterprise value; Business; Asset (computer security); Shareholder; Investment decisions; Financial economics; Microeconomics; Stock market; Economics; Accounting; Finance; Behavioral economics; Corporate governance","score_opus":0.01455491499177963,"score_gpt":0.20922420828048793,"score_spread":0.1946692932887083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127425111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9103577,0.002931099,0.0009483313,0.0021391744,0.0012086161,0.0005350891,0.000028039443,0.000007081684,0.08184487],"genre_scores_gemma":[0.9985854,0.00011881258,0.000014538941,0.00029595292,0.00009825447,0.0000085529,0.0000022401632,0.0000032005323,0.00087306584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864167,0.000046420246,0.0010979624,0.00003405023,0.000097217344,0.000082672],"domain_scores_gemma":[0.9980008,0.00023211142,0.0015249223,0.00012280338,0.00009148275,0.000027878094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020156777,0.00007049477,0.00022820821,0.00018948737,0.00014187844,0.00016707358,0.00012549787,0.000024603194,0.000010458058],"category_scores_gemma":[0.00017138598,0.000037746766,0.00012979844,0.00015431677,0.000016590768,0.00051291526,0.000010745279,0.00008855113,0.000112949376],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028215398,0.000041595664,0.0068334634,0.000088903886,0.00033749038,0.0000010716449,0.0016156367,0.0115004135,0.000121784855,0.76109177,0.21620074,0.0018849721],"study_design_scores_gemma":[0.003392128,0.002011384,0.02245617,0.0006726636,0.00011595574,0.000105082996,0.0066762655,0.19485256,0.0036622612,0.0093167685,0.75615054,0.0005882337],"about_ca_topic_score_codex":0.00017875739,"about_ca_topic_score_gemma":0.000008000871,"teacher_disagreement_score":0.751775,"about_ca_system_score_codex":0.000087706445,"about_ca_system_score_gemma":0.000008773737,"threshold_uncertainty_score":0.16110943},"labels":[],"label_agreement":null},{"id":"W2128133672","doi":"10.1111/j.1745-6622.2001.tb00431.x","title":"VALUING PUD RESERVES: A PRACTICAL APPLICATION OF REAL OPTION TECHNIQUES","year":2001,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Discounted cash flow; Valuation (finance); Economics; Option value; Value (mathematics); Intrinsic value (animal ethics); Volatility (finance); Present value; Cash flow; Valuation of options; Business; Financial economics; Microeconomics; Finance; Computer science","score_opus":0.06172111685328002,"score_gpt":0.2651506577580061,"score_spread":0.2034295409047261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128133672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9531294,0.0015020329,0.031458862,0.0005466572,0.0001014924,0.00022947292,0.000013619526,0.000021953745,0.012996475],"genre_scores_gemma":[0.9669525,0.012904902,0.019699043,0.000038548955,0.00017778638,0.000015802176,0.000007568025,0.000016628064,0.00018719077],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984217,0.000010578641,0.0011024888,0.00020497944,0.000095314565,0.00016492677],"domain_scores_gemma":[0.99606663,0.00003929149,0.003445277,0.0002518645,0.00014567842,0.000051265426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009032361,0.00012576362,0.00048834743,0.00031503578,0.000056353372,0.000035257784,0.00019568462,0.00011184612,0.000022178854],"category_scores_gemma":[0.00003490153,0.00012548176,0.00016613113,0.000568855,0.00007904293,0.0003411623,0.000034701337,0.00021414329,0.000042195614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002957082,0.00019398723,0.008046734,0.000021563148,0.00004853549,0.000014078536,0.00014709249,0.00032883615,0.003003137,0.98443484,0.00048170018,0.0029837717],"study_design_scores_gemma":[0.0010079353,0.00064445083,0.033828408,0.00007915256,0.00008758559,0.0000828187,0.00024086102,0.011478395,0.01198377,0.90614754,0.033942632,0.00047645316],"about_ca_topic_score_codex":0.00006761869,"about_ca_topic_score_gemma":0.000009265651,"teacher_disagreement_score":0.07828732,"about_ca_system_score_codex":0.00009281024,"about_ca_system_score_gemma":0.000040907526,"threshold_uncertainty_score":0.5116998},"labels":[],"label_agreement":null},{"id":"W2128501820","doi":"10.5539/ibr.v7n5p62","title":"Option Game Analysis on Financial Resource Supply in RMB Retail Market","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"First-mover advantage; Business; Renminbi; Game theory; Industrial organization; Competitive advantage; Competition (biology); Commerce; Economics; Marketing; Finance; Microeconomics; Exchange rate","score_opus":0.05463134760256518,"score_gpt":0.29770587293064255,"score_spread":0.24307452532807736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128501820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8507492,0.0008258144,0.001683845,0.009484014,0.0003480434,0.00021398526,0.0001274446,0.000032198313,0.13653548],"genre_scores_gemma":[0.984358,0.00064028054,0.00009567692,0.00019825694,0.00029403498,0.000039446626,0.0001716404,0.000014655476,0.014188025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982753,0.00010798484,0.00050797896,0.0005022083,0.00028118354,0.00032538097],"domain_scores_gemma":[0.9989555,0.0002680782,0.00013254643,0.00033100296,0.00024521956,0.00006767478],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002619975,0.00012286461,0.00032900512,0.0028988684,0.000080519574,0.00018364096,0.00047934963,0.00011257555,0.0030643872],"category_scores_gemma":[0.0014484028,0.00013030374,0.00017127793,0.0026545534,0.000105478815,0.00021842601,0.00012222721,0.00030497162,0.0008601837],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004313018,0.0004211686,0.32355842,0.000019580582,0.00033150308,0.000021898863,0.00024199937,0.007135112,0.000035107518,0.6565581,0.008362522,0.0028832678],"study_design_scores_gemma":[0.00042505702,0.000031757863,0.80229205,0.000019186022,0.000010309381,6.1565487e-7,0.000021052407,0.05113553,0.000022760647,0.038749386,0.10713902,0.00015329146],"about_ca_topic_score_codex":0.0011349991,"about_ca_topic_score_gemma":0.0004231873,"teacher_disagreement_score":0.61780876,"about_ca_system_score_codex":0.0002773788,"about_ca_system_score_gemma":0.000024127123,"threshold_uncertainty_score":0.99991775},"labels":[],"label_agreement":null},{"id":"W2129317918","doi":"10.1111/j.0013-0427.2004.00368.x","title":"Research Collaborations with Sequential Investments","year":2004,"lang":"en","type":"article","venue":"Economica","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Joint venture; Outcome (game theory); Equity (law); Corporate governance; Business; Microeconomics; Joint (building); Industrial organization; Economics; Finance; Commerce; Political science","score_opus":0.10400271208809253,"score_gpt":0.28659066371450687,"score_spread":0.18258795162641434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129317918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92596024,0.0018393778,0.000119076416,0.002331056,0.00017201544,0.00023874431,0.00010683015,0.000042532673,0.069190115],"genre_scores_gemma":[0.9940414,0.00040738072,0.0017378257,0.00030739544,0.00014835419,0.000057150704,0.000051589195,0.000024113577,0.003224817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888086,0.000013539305,0.00036940235,0.0003882699,0.000033281605,0.00031463912],"domain_scores_gemma":[0.9993465,0.000019692414,0.00012948147,0.00033341983,0.00004447043,0.00012644938],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003885555,0.000112899535,0.00024592027,0.00038273347,0.0002503179,0.00016795972,0.00019631031,0.00006787259,0.00081123685],"category_scores_gemma":[0.000017418404,0.00011701985,0.000070038506,0.0004382129,0.00017952836,0.00032931037,0.000052580257,0.00015165059,0.005074344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011534253,0.00008336112,0.0033259862,0.0000031246202,0.00009944398,0.0000038786575,0.0003123185,0.0010302548,0.000023560619,0.9934365,0.0016557857,0.000014232679],"study_design_scores_gemma":[0.0030765682,0.00036200573,0.01731338,0.000021458849,0.000027279435,0.000008659726,0.00080066675,0.000773048,0.001878645,0.83830506,0.13674194,0.00069130916],"about_ca_topic_score_codex":0.0006786339,"about_ca_topic_score_gemma":0.00045034426,"teacher_disagreement_score":0.15513147,"about_ca_system_score_codex":0.00036444547,"about_ca_system_score_gemma":0.00009603225,"threshold_uncertainty_score":0.9957003},"labels":[],"label_agreement":null},{"id":"W2129406037","doi":"10.32890/ijbf2010.7.2.8413","title":"Influence of Transaction Costs on Foreign Exchange Option Contracts: Intra-Daily Tests","year":2010,"lang":"en","type":"article","venue":"International Journal of Banking and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transaction cost; Arbitrage; Profit (economics); Interest rate parity; Database transaction; Foreign exchange; Business; Econometrics; Economics; Exchange rate; Financial economics; Monetary economics; Microeconomics; Computer science; Database","score_opus":0.012017130766129971,"score_gpt":0.22886246833470464,"score_spread":0.21684533756857466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129406037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540055,0.001701249,0.0008253736,0.00042323078,0.0004458878,0.000042465068,0.00003315758,0.000003883015,0.0011242076],"genre_scores_gemma":[0.99363667,0.0054477216,0.0005254341,0.00012785867,0.00018274292,0.0000019487898,0.0000031874374,0.0000071416453,0.00006729021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99912465,0.0000067738974,0.00055157027,0.00012705156,0.000095749776,0.00009422292],"domain_scores_gemma":[0.99886173,0.00006689638,0.0007805459,0.00008000736,0.00018399466,0.000026799784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037796964,0.00008859479,0.00023355283,0.0003036507,0.00003682676,0.000044112974,0.00017752536,0.000072744864,0.000042088457],"category_scores_gemma":[0.00009494032,0.00008662688,0.00010350739,0.0000923806,0.000068014044,0.00042226448,0.0000093953995,0.00023575405,0.00000942145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002706805,0.0003014437,0.030992404,0.000017641325,0.00022779458,0.000033512253,0.00066704117,0.003929667,0.005620114,0.9312194,0.00015779232,0.026562527],"study_design_scores_gemma":[0.004130074,0.0009367169,0.6469281,0.00054178317,0.000068578454,0.0002645783,0.00011516728,0.011677795,0.010640842,0.30062667,0.02347954,0.0005901942],"about_ca_topic_score_codex":0.00007026458,"about_ca_topic_score_gemma":0.00002756418,"teacher_disagreement_score":0.6305927,"about_ca_system_score_codex":0.000047389916,"about_ca_system_score_gemma":0.000012773458,"threshold_uncertainty_score":0.35325417},"labels":[],"label_agreement":null},{"id":"W2129771682","doi":"10.1111/j.1540-5915.2009.00243.x","title":"Shared Services Transformation: Conceptualization and Valuation from the Perspective of Real Options","year":2009,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Outsourcing; Business; Conceptualization; Valuation (finance); Consolidation (business); Standardization; Business transformation; Process management; Business model; Knowledge management; Industrial organization; Computer science; Marketing; Accounting; Business relationship management; Electronic business","score_opus":0.07442123370507425,"score_gpt":0.30734200011401136,"score_spread":0.2329207664089371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129771682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704106,0.014346991,0.005402332,0.002490892,0.000090421076,0.00013426297,0.00010276445,0.0000115459,0.007010214],"genre_scores_gemma":[0.9948114,0.0036993206,0.0012570276,0.00016883679,0.00002510555,0.0000017969089,0.00001704085,0.0000010553529,0.000018418987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940526,0.000010732581,0.0002773681,0.00016937696,0.000082988816,0.00005429789],"domain_scores_gemma":[0.9995558,0.00011171919,0.00016211293,0.00009042163,0.00006034128,0.000019590443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048118824,0.000045846846,0.000113325994,0.00009783053,0.00020545608,0.00010676312,0.00014229248,0.00002587006,0.0001342078],"category_scores_gemma":[0.000036849382,0.000032434054,0.000042410524,0.00042497783,0.00012210775,0.00051205256,0.0000092449345,0.000021527889,0.000021972399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037007253,0.00001221368,0.0026085482,3.7229867e-7,0.0000051994707,2.7913211e-8,0.0068049114,0.0002339026,0.000025849376,0.9892757,0.00004258594,0.0009870084],"study_design_scores_gemma":[0.00014377154,0.000050013372,0.18026888,0.000009038448,0.0000076168008,1.8500049e-7,0.00592978,0.038598914,0.00004187541,0.77470857,0.00019322746,0.000048148708],"about_ca_topic_score_codex":0.00072586635,"about_ca_topic_score_gemma":0.00012452742,"teacher_disagreement_score":0.21456714,"about_ca_system_score_codex":0.000016474813,"about_ca_system_score_gemma":0.000008515684,"threshold_uncertainty_score":0.15802228},"labels":[],"label_agreement":null},{"id":"W2131062704","doi":"10.5402/2012/478485","title":"Correcting for Hubris in Project Appraisal","year":2012,"lang":"en","type":"article","venue":"ISRN Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Overconfidence effect; Hubris; Extant taxon; Cash flow; Economics; Capital budgeting; Corporate finance; Actuarial science; Term (time); Financial economics; Project appraisal; Public economics; Finance; Psychology; Social psychology","score_opus":0.07254225270467722,"score_gpt":0.28528215984372485,"score_spread":0.2127399071390476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131062704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98466724,0.0044157207,0.0005432141,0.00015890613,0.0014174297,0.00031744066,0.000103636914,0.00003096896,0.00834544],"genre_scores_gemma":[0.99563825,0.00081584137,0.0016371493,0.00018627977,0.00046205247,0.00008960512,0.000044941353,0.000033914785,0.0010919515],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871975,0.0000062550853,0.00054929295,0.00027082066,0.000007918823,0.00044596655],"domain_scores_gemma":[0.9993447,0.00012919887,0.00025625693,0.00019850666,0.000008568012,0.000062760955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005990804,0.00013634372,0.00036788493,0.00031782562,0.000064732914,0.000057955574,0.00013721912,0.00009439339,0.00007287644],"category_scores_gemma":[0.00011184181,0.000166383,0.00018397463,0.00014353605,0.00003018017,0.0004317616,0.000040082865,0.0000955645,0.00031264732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024444014,0.00016539906,0.542391,0.000021082675,0.00007181544,2.5027822e-7,0.0014587069,0.00021192836,0.0000033921974,0.44950283,0.002283337,0.0038658334],"study_design_scores_gemma":[0.0043369764,0.00026619088,0.11189958,0.000032189524,0.00007467844,0.000033604956,0.0038950813,0.10568771,0.0008481029,0.07840278,0.69222903,0.0022940824],"about_ca_topic_score_codex":0.0005315713,"about_ca_topic_score_gemma":0.00051304686,"teacher_disagreement_score":0.6899457,"about_ca_system_score_codex":0.00015424898,"about_ca_system_score_gemma":0.000017102398,"threshold_uncertainty_score":0.6784902},"labels":[],"label_agreement":null},{"id":"W2131395291","doi":"","title":"Environmental Impact Assessment and Investment under Uncertainty. An Application to Power Grid Interconnection","year":2003,"lang":"en","type":"preprint","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Investment (military); Welfare economics; Economics; Art","score_opus":0.01676915034465269,"score_gpt":0.24327067649752349,"score_spread":0.2265015261528708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131395291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872207,0.0050544604,0.0011917045,0.00036591844,0.000473893,0.00080655445,0.0025065744,0.0000367863,0.002343409],"genre_scores_gemma":[0.98963636,0.006603801,0.0006067115,0.0001649329,0.000071003575,0.0000066398457,0.0019392762,0.000026533395,0.0009447548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975232,0.00008681987,0.0006105963,0.0013623695,0.00013436606,0.0002826386],"domain_scores_gemma":[0.9973472,0.000045318397,0.0008360138,0.0013732567,0.000031489668,0.00036672363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003621306,0.00040210574,0.00073019695,0.0003447454,0.00032800453,0.00014783359,0.0005114085,0.0002523487,0.00014728105],"category_scores_gemma":[0.000010225434,0.00046008977,0.00015036066,0.00009729817,0.00023249524,0.00059605937,0.0010937607,0.000274196,0.000017791099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001784446,0.008010482,0.57138413,0.001001072,0.017647415,0.0005237125,0.0057353084,0.02607646,0.0048288982,0.24499437,0.103324965,0.014688702],"study_design_scores_gemma":[0.006544652,0.0024077485,0.75117636,0.00036706738,0.0021528173,0.00016082941,0.0061847754,0.0301035,0.0001622907,0.046914946,0.14966823,0.004156766],"about_ca_topic_score_codex":0.023397682,"about_ca_topic_score_gemma":0.003262498,"teacher_disagreement_score":0.19807942,"about_ca_system_score_codex":0.0010703348,"about_ca_system_score_gemma":0.00006023346,"threshold_uncertainty_score":0.99978507},"labels":[],"label_agreement":null},{"id":"W2132088129","doi":"10.1109/jsyst.2011.2158687","title":"Fuzzy Real Options for Risky Project Evaluation Using Least Squares Monte-Carlo Simulation","year":2011,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Monte Carlo method; Fuzzy logic; Valuation (finance); Computer science; Mathematical optimization; Fuzzy number; Fuzzy set; Data mining; Mathematics; Artificial intelligence; Statistics; Economics; Finance","score_opus":0.2974647216824817,"score_gpt":0.33787018976951166,"score_spread":0.04040546808702994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132088129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96672964,0.018030664,0.008306791,0.000022922926,0.0027175674,0.0010204095,0.00014004647,0.000033917237,0.0029980468],"genre_scores_gemma":[0.99696636,0.0009156414,0.00083484274,0.0000072876264,0.00081364356,0.000044842487,0.00000673822,0.000024465693,0.0003862021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985443,0.0000671173,0.000816072,0.00023427734,0.00010128733,0.00023694678],"domain_scores_gemma":[0.99865687,0.000037835594,0.00080559397,0.00017807636,0.00024543353,0.000076209384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015559003,0.00014077831,0.00034319866,0.00049299723,0.0003561515,0.00017976317,0.00012350548,0.000105144136,0.000044838664],"category_scores_gemma":[0.00006444993,0.00013816696,0.00027069342,0.0002184567,0.000027725651,0.00050430273,0.000009068087,0.00012476613,0.000046726225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000796044,0.00016530763,0.01874041,0.000060201037,0.00042635584,0.0000033636052,0.0034433657,0.93222654,0.00009815171,0.043517146,0.00092450436,0.0003150658],"study_design_scores_gemma":[0.00076868583,0.00011102854,0.003542883,0.000045610046,0.0001342242,0.000024418054,0.0005392012,0.9816852,0.000013120128,0.012385988,0.00052854297,0.000221062],"about_ca_topic_score_codex":0.0023066467,"about_ca_topic_score_gemma":0.00009523483,"teacher_disagreement_score":0.049458712,"about_ca_system_score_codex":0.00029812477,"about_ca_system_score_gemma":0.000058966783,"threshold_uncertainty_score":0.5634285},"labels":[],"label_agreement":null},{"id":"W2135881547","doi":"","title":"A Comparison of Revenue Growth at Recent-IPO and Established Firms: The Influence of SG&A, R&D and COGS","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada; University of Waterloo","funders":"","keywords":"Initial public offering; Revenue; Elasticity (physics); Output elasticity; Productivity; Industrial organization; Function (biology); Economics; Production function; Business; Microeconomics; Monetary economics; Production (economics); Econometrics; Finance; Macroeconomics","score_opus":0.013271292073386634,"score_gpt":0.23549047340347026,"score_spread":0.22221918133008361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135881547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89794606,0.10059407,0.000020280393,0.001152358,0.00002083963,0.00006942356,0.0000132776995,0.0000023042273,0.0001813799],"genre_scores_gemma":[0.88092995,0.1186352,0.000023062046,0.00006724558,0.00002431843,0.0000011428235,0.0000018949378,0.0000049710984,0.00031223855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987994,0.000021152524,0.0005071515,0.00014557096,0.000048463568,0.00047828638],"domain_scores_gemma":[0.9991876,0.000043257718,0.0005507665,0.00012289203,0.000050437902,0.000045048524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000876425,0.00009380303,0.00035020776,0.00013050472,0.00012324944,0.000030496374,0.00014443326,0.000050091618,0.000014708591],"category_scores_gemma":[0.000096767915,0.00007500499,0.0000708286,0.00022469608,0.000112785936,0.00017329642,0.000032456024,0.0004007561,0.0000029220023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079714286,0.00012553588,0.27089652,0.000018143912,0.00022499936,7.081014e-7,0.0013873011,0.000066503664,0.00032713957,0.7213694,0.00043441256,0.005069633],"study_design_scores_gemma":[0.0007012743,0.00044528185,0.21981713,0.000025128478,0.00006356018,0.00004792521,0.0006598838,0.00037138583,0.00028041864,0.775674,0.0017542718,0.00015973994],"about_ca_topic_score_codex":0.00020774634,"about_ca_topic_score_gemma":0.00046867743,"teacher_disagreement_score":0.054304622,"about_ca_system_score_codex":0.00012846169,"about_ca_system_score_gemma":0.00005851581,"threshold_uncertainty_score":0.30586147},"labels":[],"label_agreement":null},{"id":"W2135987917","doi":"10.2139/ssrn.424461","title":"The Importance of the Loss Function in Option Valuation","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmark (surveying); Consistency (knowledge bases); Valuation (finance); Function (biology); Econometrics; Mean squared error; Estimation; Mathematics; Computer science; Statistics; Economics; Artificial intelligence","score_opus":0.015453370402840299,"score_gpt":0.20966887427537426,"score_spread":0.19421550387253395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135987917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9407152,0.05416132,0.002881373,0.0007729043,0.0003265431,0.00009575196,0.0000012436863,0.0000029832868,0.0010426836],"genre_scores_gemma":[0.9749465,0.023714676,0.000008195584,0.000040147443,0.0000404337,0.0000035881676,8.825458e-7,0.0000055351907,0.0012400253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998957,0.000041094114,0.00039399692,0.000096268355,0.00004930913,0.0004623332],"domain_scores_gemma":[0.9994056,0.000027900875,0.0003879969,0.00014016822,0.00002506637,0.000013215573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002513524,0.000057214398,0.00010714996,0.000075681404,0.00016831084,0.000028085966,0.00012115993,0.000036717294,0.000019100955],"category_scores_gemma":[0.00011623447,0.00003742615,0.00012355884,0.000295456,0.00003790758,0.0001287186,0.0000078131625,0.00041872173,0.00001956924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006883314,0.000016721337,0.12094578,6.255166e-7,0.000034476787,5.0439233e-8,0.000041137144,0.00028343688,0.000010562075,0.8783623,0.000007596795,0.00029043722],"study_design_scores_gemma":[0.0002414476,0.00004330742,0.035110883,0.0000027516621,0.000010604177,0.000007151676,0.00030466873,0.0009293676,0.00003592177,0.96200925,0.0012573374,0.000047323614],"about_ca_topic_score_codex":0.000044549502,"about_ca_topic_score_gemma":0.001736346,"teacher_disagreement_score":0.0858349,"about_ca_system_score_codex":0.00042562673,"about_ca_system_score_gemma":0.00015506729,"threshold_uncertainty_score":0.18191607},"labels":[],"label_agreement":null},{"id":"W2136495944","doi":"10.5465/ambpp.2012.52","title":"External Threats and MNE Strategy: The Role of Exposure, Resources and Coping Mechanisms","year":2012,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Multinational corporation; Coping (psychology); Subsidiary; Vulnerability (computing); Business; Psychology; Computer science","score_opus":0.028007237714933804,"score_gpt":0.22771010059130845,"score_spread":0.19970286287637465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136495944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.891661,0.09750339,0.000049801674,0.00034531727,0.00001685285,0.00017330649,0.0000053822746,0.00001053307,0.01023445],"genre_scores_gemma":[0.98146,0.01717745,0.0005927443,0.000119494296,0.000042626634,0.000011037208,4.5527415e-7,0.000008909817,0.00058732455],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992415,0.0000024409005,0.00034325826,0.00017682697,0.000057967864,0.0001780331],"domain_scores_gemma":[0.9995622,0.000014144138,0.0003256085,0.000041685067,0.0000082796505,0.000048065598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005311246,0.00010226261,0.00023174542,0.00014867919,0.00007268247,0.00003894966,0.00014482619,0.000058280963,0.00002975463],"category_scores_gemma":[0.000004324219,0.00008358422,0.00004637566,0.00013138558,0.00009819984,0.0003498705,0.0001449795,0.000083545805,0.0000044355834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008097899,0.000023731604,0.046071775,0.00008309081,0.000095298696,4.270637e-8,0.0008371159,0.000001022159,0.00027818116,0.9485629,0.00007353351,0.0039651655],"study_design_scores_gemma":[0.00045095422,0.00009032167,0.20928822,0.00006829008,0.00012113403,0.0000026886578,0.0033500134,0.00041991478,0.004413873,0.77349436,0.008087465,0.00021275032],"about_ca_topic_score_codex":0.000024906512,"about_ca_topic_score_gemma":2.1778528e-7,"teacher_disagreement_score":0.17506857,"about_ca_system_score_codex":0.00000812054,"about_ca_system_score_gemma":4.718234e-7,"threshold_uncertainty_score":0.34084657},"labels":[],"label_agreement":null},{"id":"W2137274029","doi":"10.1016/j.jfe.2009.11.002","title":"Contrasting two approaches in real options valuation: Contingent claims versus dynamic programming","year":2009,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Ministry of Natural Resources","keywords":"Futures contract; Valuation (finance); Convenience yield; Economics; Dynamic programming; Discounting; Constant (computer programming); Econometrics; Yield (engineering); Investment (military); Actuarial science; Mathematical economics; Computer science; Spot contract; Financial economics; Mathematics; Mathematical optimization; Finance","score_opus":0.09980356780401368,"score_gpt":0.2776634206280657,"score_spread":0.17785985282405203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137274029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99092615,0.0047990503,0.0005427894,0.0006756923,0.00047294967,0.00015558064,0.00000826017,0.000010412634,0.002409139],"genre_scores_gemma":[0.99042773,0.0045442325,0.0046588383,0.000041172145,0.00022169451,0.0000043827267,0.000016294278,0.000013599581,0.00007203705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981935,0.000017110215,0.0012721595,0.00021229371,0.00003319634,0.00027172573],"domain_scores_gemma":[0.99845606,0.000074639705,0.0011694564,0.00015529127,0.00004234879,0.0001021838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010518985,0.00015059231,0.00051478285,0.00045804944,0.00008641032,0.00014095625,0.00019955939,0.00007843009,0.00002314296],"category_scores_gemma":[0.00005503916,0.00016448472,0.00028032533,0.00018066485,0.000048010683,0.0005504818,0.000018820017,0.00022582547,0.000026115054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012869277,0.0002229935,0.05396435,0.000007320933,0.00013944661,0.0000090469775,0.00056798785,0.03578012,0.000004232902,0.9009256,0.00001972206,0.008230511],"study_design_scores_gemma":[0.0082473485,0.0009050765,0.27817166,0.00006574576,0.00015054234,0.00004318323,0.0011722894,0.3590154,0.000017724995,0.34907812,0.0024637862,0.00066914136],"about_ca_topic_score_codex":0.00011233231,"about_ca_topic_score_gemma":0.0008110924,"teacher_disagreement_score":0.55184746,"about_ca_system_score_codex":0.00039844122,"about_ca_system_score_gemma":0.00004375113,"threshold_uncertainty_score":0.67074925},"labels":[],"label_agreement":null},{"id":"W2137762962","doi":"10.22004/ag.econ.169813","title":"The Welfare Impacts of a Conservation Easement","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Easement; Externality; Valuation (finance); Business; Land tenure; Welfare; Natural resource economics; Economics; Public economics; Environmental resource management; Environmental planning; Microeconomics; Finance; Geography; Law; Political science; Agriculture; Market economy","score_opus":0.02678495519099507,"score_gpt":0.2020378044123344,"score_spread":0.17525284922133932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137762962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98814833,0.0009440819,0.00026953637,0.005536157,0.000051800725,0.000110702626,0.000059024518,0.000006199295,0.0048741633],"genre_scores_gemma":[0.9960825,0.001642818,0.0001982456,0.00005372325,0.000014437937,2.4418586e-7,0.000018697414,0.000005065271,0.001984295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993197,0.00003561952,0.00021650668,0.00017491766,0.000069888854,0.00018340841],"domain_scores_gemma":[0.9992091,0.00009578429,0.00025791425,0.00028165733,0.00007964734,0.00007588116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069127744,0.00007514487,0.00024183436,0.00017900042,0.00025045325,0.000017635984,0.0002666985,0.00004958259,0.0006908911],"category_scores_gemma":[0.00005249006,0.00007741652,0.00015608392,0.00024909794,0.0002111792,0.00019740932,0.00008605956,0.00007147853,0.00016699545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005955782,0.00011310226,0.095561445,0.00006437527,0.00022558591,0.0000032586074,0.0016917395,0.000032161355,0.00025211746,0.8944925,0.0045907497,0.0029133877],"study_design_scores_gemma":[0.0021016607,0.00050555886,0.7051211,0.000039598264,0.00007584986,0.0000018510934,0.007068892,0.027242804,0.0009049211,0.014669268,0.24186373,0.00040479185],"about_ca_topic_score_codex":0.005808678,"about_ca_topic_score_gemma":0.002337422,"teacher_disagreement_score":0.87982327,"about_ca_system_score_codex":0.00004339812,"about_ca_system_score_gemma":0.0000149299185,"threshold_uncertainty_score":0.8781022},"labels":[],"label_agreement":null},{"id":"W2138335145","doi":"","title":"How cost-effective are Canadian IPO markets?","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Initial public offering; Welfare economics; Economics; Business; Finance","score_opus":0.04757943898176295,"score_gpt":0.2672871556947847,"score_spread":0.21970771671302172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138335145","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29160684,0.033757318,0.000007675295,0.010510416,0.002449736,0.007370393,0.003783347,0.00012254418,0.65039176],"genre_scores_gemma":[0.875051,0.08341585,0.00013638292,0.00026936355,0.00036515162,0.0016001392,0.00021443135,0.00013351026,0.038814176],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99571323,0.00016134315,0.0008938137,0.0016752249,0.000104774765,0.0014515817],"domain_scores_gemma":[0.996971,0.00031543666,0.00058377185,0.0014492734,0.00010653098,0.0005739554],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019498424,0.0005343454,0.0012960362,0.0025905678,0.0003023344,0.00079433137,0.001014023,0.00086675526,0.0010707454],"category_scores_gemma":[0.0006125448,0.0006641587,0.000581546,0.00038696363,0.0003670872,0.0002585443,0.00068388303,0.0021819945,0.0003367502],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023057144,0.0011333241,0.32377142,0.0010976683,0.0034201678,0.0008820362,0.0028824508,0.008101691,0.00000802607,0.13243954,0.013073944,0.5129592],"study_design_scores_gemma":[0.0009685274,0.00007753772,0.069240116,0.0001858654,0.000024329203,0.0000086245,0.00089445873,0.046549585,0.000023363888,0.037246063,0.84332246,0.0014591059],"about_ca_topic_score_codex":0.022004923,"about_ca_topic_score_gemma":0.102092795,"teacher_disagreement_score":0.8302485,"about_ca_system_score_codex":0.0042072525,"about_ca_system_score_gemma":0.00021930864,"threshold_uncertainty_score":0.9998424},"labels":[],"label_agreement":null},{"id":"W2140640882","doi":"10.1016/j.renene.2009.03.017","title":"The role of taxation policy and incentives in wind-based distributed generation projects viability: Ontario case study","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Incentive; Wind power; Allowance (engineering); Turbine; Internal rate of return; Environmental economics; Net present value; Business; Revenue; Renewable energy; Economics; Engineering; Production (economics); Finance; Operations management; Microeconomics","score_opus":0.018670692898139593,"score_gpt":0.21742765072125075,"score_spread":0.19875695782311115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140640882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970222,0.0019195386,0.00021497958,0.000101278994,0.000024072098,0.00013834232,0.000015066278,0.000006730051,0.0005577885],"genre_scores_gemma":[0.9992935,0.00016017526,0.000043280626,0.000031327563,0.000045059725,0.000011444596,0.00004577167,0.000004154634,0.0003652546],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992174,0.000034718472,0.0003600245,0.00021788372,0.000033481563,0.0001365222],"domain_scores_gemma":[0.9994304,0.000033042816,0.00029383265,0.00018615613,0.000025309673,0.00003123981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028013473,0.000087463304,0.00019618608,0.00019357291,0.0001170821,0.000054471326,0.00005641503,0.00004327661,0.000009256725],"category_scores_gemma":[0.00007231247,0.000075403776,0.000043491335,0.00037698436,0.000033601096,0.00012091691,0.000015826176,0.00003576006,5.187455e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006381729,0.0013207429,0.7353685,0.000007323846,0.00010579614,0.0000362908,0.0042517195,0.1058425,0.0010372825,0.14784975,0.000051764197,0.004064526],"study_design_scores_gemma":[0.0035863062,0.0013313427,0.2970146,0.000022405415,0.00007313351,0.000019773684,0.006281504,0.5173913,0.012444906,0.14726846,0.01378199,0.0007842369],"about_ca_topic_score_codex":0.5936503,"about_ca_topic_score_gemma":0.4874863,"teacher_disagreement_score":0.4383539,"about_ca_system_score_codex":0.00022276938,"about_ca_system_score_gemma":0.00007401396,"threshold_uncertainty_score":0.5218657},"labels":[],"label_agreement":null},{"id":"W2142501382","doi":"10.1002/mde.1446","title":"A real‐option rationale for investing in excess capacity","year":2008,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Capacity utilization; Economics; Flexibility (engineering); Capacity planning; Excess return; Microeconomics; Excess heat; Operations management; Thermodynamics; Context (archaeology)","score_opus":0.08196467421098959,"score_gpt":0.2295595561838127,"score_spread":0.1475948819728231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142501382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931123,0.0004963602,0.0032160243,0.00014485765,0.0003292083,0.00023006299,0.000055566514,0.000015549147,0.0024000634],"genre_scores_gemma":[0.97995627,0.007592488,0.0112879705,0.00019738614,0.0002491326,0.00005405522,0.000045015724,0.000017063103,0.00060059753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989056,0.0000053882864,0.0005640584,0.00035062525,0.000014726917,0.000159604],"domain_scores_gemma":[0.99944437,0.00012377108,0.00020596411,0.00014837978,0.000014722386,0.00006277218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037439814,0.00011017284,0.0003226641,0.00028400848,0.00015836896,0.0000705,0.00009102473,0.000079251666,0.000043951768],"category_scores_gemma":[0.00008673113,0.00012465175,0.00009123006,0.000116383606,0.000066348926,0.0003336187,0.000047904425,0.000049015543,0.00005417719],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009432977,0.000056680787,0.013570307,0.00001402147,0.000023870152,0.0000022971892,0.0005104302,0.0013778444,0.00002206731,0.9809256,0.0005468242,0.002855713],"study_design_scores_gemma":[0.0012914859,0.00004546711,0.032822862,0.00000797042,0.000005648785,0.000005250021,0.00008238969,0.07154672,0.000034086646,0.8843866,0.009518673,0.00025287367],"about_ca_topic_score_codex":0.00050911534,"about_ca_topic_score_gemma":0.00043273848,"teacher_disagreement_score":0.09653904,"about_ca_system_score_codex":0.000070854956,"about_ca_system_score_gemma":0.000009623719,"threshold_uncertainty_score":0.5083151},"labels":[],"label_agreement":null},{"id":"W2143443775","doi":"10.2139/ssrn.246576","title":"Valuation of Information Technology Investments as Real Options","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Valuation (finance); Business; Actuarial science; Economics; Finance","score_opus":0.013995814148174844,"score_gpt":0.2232929088401556,"score_spread":0.20929709469198074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143443775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96291536,0.018267827,0.000790106,0.0010020582,0.0000924459,0.00012101704,0.000012969211,0.000027688073,0.016770504],"genre_scores_gemma":[0.84816563,0.14823797,0.00031419497,0.000086999025,0.00004910411,0.000007273003,0.000034393204,0.000007400084,0.003097027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987574,0.000011468153,0.00053050905,0.00008986986,0.000051818803,0.00055890763],"domain_scores_gemma":[0.99945647,0.000006272525,0.0003319968,0.00012858436,0.00004107551,0.00003562661],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007313244,0.00007917433,0.00018114931,0.000533482,0.000112250185,0.000030851646,0.00015045192,0.00008698456,0.0006123614],"category_scores_gemma":[0.000029936204,0.00008240854,0.000107173604,0.00042210316,0.00004762324,0.000560012,0.000011195744,0.00038121146,0.0009046721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009147833,0.00003581644,0.0025876518,0.0000015003363,0.00010903604,1.15666104e-7,0.00013356554,0.0001703436,0.0000100177695,0.9905956,0.000038937364,0.0063083125],"study_design_scores_gemma":[0.0003849672,0.00016388322,0.0018808745,0.000003838206,0.000020685415,0.000028149272,0.00035735485,0.0010597486,0.000049627368,0.99315226,0.0028126927,0.00008593891],"about_ca_topic_score_codex":0.00031141774,"about_ca_topic_score_gemma":0.00009463807,"teacher_disagreement_score":0.12997015,"about_ca_system_score_codex":0.0003978534,"about_ca_system_score_gemma":0.00021048822,"threshold_uncertainty_score":0.9998732},"labels":[],"label_agreement":null},{"id":"W2143875676","doi":"10.1108/cg-07-2012-0060","title":"A real options approach to implementing corporate social responsibility policies at different stages of the mining process","year":2013,"lang":"en","type":"article","venue":"Corporate Governance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Originality; Corporate social responsibility; Process (computing); Survivability; Function (biology); Value (mathematics); Set (abstract data type); Corporate governance; Confidentiality; Computer science; Process management; Risk analysis (engineering); Business; Computer security; Qualitative research; Public relations; Finance; Sociology; Political science","score_opus":0.07993773262353596,"score_gpt":0.2558351013011639,"score_spread":0.17589736867762792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143875676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99388176,0.00069965277,0.000055665245,0.0006287904,0.00010748122,0.00043948434,0.00044452614,0.000023488039,0.0037191357],"genre_scores_gemma":[0.993577,0.00033284494,0.00033228725,0.00010231059,0.00007247325,0.00010285225,0.00002215964,0.00002044117,0.005437623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836916,0.000039456765,0.0006988636,0.0004241731,0.000107170854,0.0003611575],"domain_scores_gemma":[0.9972785,0.0000333928,0.0021323075,0.0003870988,0.00009258518,0.00007609859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032004077,0.00019381996,0.00044033024,0.00007099451,0.00035971796,0.000083180545,0.00037318483,0.000064839296,0.00012803984],"category_scores_gemma":[0.000078354235,0.00015642689,0.00019010385,0.0005947743,0.00016263506,0.0002081679,0.00029138214,0.00009786331,0.000060691727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029986584,0.00015901712,0.5677533,0.00006393276,0.00007522376,3.0803065e-7,0.0028815116,0.00015983342,0.0013963002,0.4243373,0.0030464635,0.00009681089],"study_design_scores_gemma":[0.00028014428,0.00003506293,0.9561078,0.000016170703,0.000019475352,6.8106704e-7,0.0005273845,0.0019606974,0.0015729471,0.038896624,0.00033008607,0.0002529157],"about_ca_topic_score_codex":0.0011443543,"about_ca_topic_score_gemma":0.0003107301,"teacher_disagreement_score":0.3883545,"about_ca_system_score_codex":0.00020921422,"about_ca_system_score_gemma":0.000028816257,"threshold_uncertainty_score":0.63789034},"labels":[],"label_agreement":null},{"id":"W2148108734","doi":"10.1109/tem.2008.919724","title":"Business Opportunity Assessment With Costly, Imperfect Information","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Engineering Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stochastic game; Computer science; Markov decision process; Perfect information; Opportunity cost; Window of opportunity; Closing (real estate); Business opportunity; Operations research; Imperfect; Optimal stopping; Process (computing); Markov process; Risk analysis (engineering); Economics; Marketing; Business; Microeconomics; Engineering; Mathematics","score_opus":0.018582390523348005,"score_gpt":0.18616868943559628,"score_spread":0.16758629891224827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148108734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061139923,0.00009759124,0.9303615,0.00018961662,0.00036534216,0.00027443786,0.000040412066,0.00014758634,0.0073835733],"genre_scores_gemma":[0.9940236,0.0016804353,0.0031174393,0.00012581854,0.000016589427,0.00008458295,0.000018928247,0.000016400769,0.0009161693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928826,0.000003457393,0.00029395142,0.0001639887,0.00006927866,0.00018105193],"domain_scores_gemma":[0.9995492,0.000010635661,0.000083655905,0.00024393293,0.000026793796,0.00008574391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011896633,0.00015141872,0.00019471407,0.00047202,0.0001433373,0.00004365736,0.00009986596,0.00003678395,0.0002099144],"category_scores_gemma":[0.0000011426121,0.00015235558,0.00008031738,0.0004610778,0.00002122882,0.00044919451,0.0000016925513,0.000120839,0.00019058894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027480786,0.00030250032,0.0002982409,0.00015183081,0.0006395446,0.00003240436,0.00027143402,0.93545353,0.000010286433,0.059635244,0.00062999415,0.0025474953],"study_design_scores_gemma":[0.006217617,0.00084144523,0.1599013,0.00021006788,0.00046449387,0.00008802261,0.00046142435,0.7006017,0.0014052707,0.0011835969,0.12570699,0.002918095],"about_ca_topic_score_codex":0.00009166226,"about_ca_topic_score_gemma":0.000004607986,"teacher_disagreement_score":0.93288374,"about_ca_system_score_codex":0.0001552384,"about_ca_system_score_gemma":0.000010097343,"threshold_uncertainty_score":0.62128806},"labels":[],"label_agreement":null},{"id":"W2148857683","doi":"10.1023/a:1020822232087","title":"Banks' option to lend, interest rate sensitivity, and credit availability","year":2002,"lang":"en","type":"article","venue":"Review of Derivatives Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Interest rate; Interest rate risk; Loan; Liability; Maturity (psychological); Monetary economics; Asset (computer security); Net interest income; Economics; Net interest margin; Credit risk; Business; Actuarial science; Financial system; Finance; Return on assets","score_opus":0.23106571803039158,"score_gpt":0.3568363033525911,"score_spread":0.1257705853221995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148857683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5740885,0.41047972,0.00024485652,0.006883287,0.000067235625,0.0007305624,0.000079204845,0.000015809936,0.007410771],"genre_scores_gemma":[0.6706296,0.32795438,0.000329346,0.00017793747,0.000036117508,0.000020859425,0.000007759634,0.000009181722,0.0008347911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984609,0.00030497322,0.0005286373,0.00038319724,0.000077901626,0.00024440713],"domain_scores_gemma":[0.998895,0.0003530858,0.00013966252,0.00034570543,0.0001487503,0.00011783232],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003719266,0.000108502376,0.00050565,0.00030743788,0.0000892385,0.00004433026,0.00012643162,0.000042735388,0.0012261759],"category_scores_gemma":[0.0015923798,0.000102556114,0.00011124748,0.0007207606,0.00022224282,0.00020973498,0.00020958787,0.00018509771,0.0007191825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000530229,0.0007382694,0.027420819,0.011551741,0.00036230637,0.000020812622,0.0021935604,0.000006879325,0.0032074107,0.88339466,0.022818873,0.048231658],"study_design_scores_gemma":[0.0017486595,0.0019540193,0.38948035,0.011332971,0.00009464641,0.00002555115,0.000783062,0.029398141,0.0069512213,0.10460975,0.45161176,0.0020098735],"about_ca_topic_score_codex":0.00007494453,"about_ca_topic_score_gemma":0.00003553591,"teacher_disagreement_score":0.7787849,"about_ca_system_score_codex":0.00006175871,"about_ca_system_score_gemma":0.000005426628,"threshold_uncertainty_score":0.99968684},"labels":[],"label_agreement":null},{"id":"W2148984417","doi":"10.1111/j.1744-7976.2002.tb00334.x","title":"Capital Investment under Alternative Marketing Scenarios in the Hog Industry: A Real Option Approach","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Investment (military); Option value; Value (mathematics); Economics; Agricultural science; Business; Microeconomics; Mathematics; Statistics","score_opus":0.047823993132660766,"score_gpt":0.17084353761933335,"score_spread":0.12301954448667259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148984417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97690564,0.002775391,0.0000055019605,0.004819985,0.00071749295,0.0003234496,0.00012824625,0.0000058065966,0.0143185025],"genre_scores_gemma":[0.9952349,0.0013224896,0.00018916978,0.0011930777,0.00075202656,0.000025878073,0.00005195972,0.000026928365,0.0012035922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9970478,0.00009379369,0.0014751056,0.0005054106,0.000016236276,0.0008617001],"domain_scores_gemma":[0.9973924,0.00011612697,0.0012284201,0.00032045573,0.000059889335,0.0008826712],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010714367,0.00037737933,0.00078533683,0.0007928094,0.00026230435,0.0003660038,0.00081446685,0.00030019807,0.0005426282],"category_scores_gemma":[0.000079381076,0.00031172615,0.00040798154,0.00035177454,0.0001734467,0.0011094196,0.000029653987,0.00082052813,0.00010545921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002397396,0.00009953234,0.020804064,0.000024533247,0.0004278213,0.00008489202,0.011009308,0.026506253,0.000007501982,0.93783504,0.0029842793,0.0001928219],"study_design_scores_gemma":[0.004313344,0.00084546,0.7921805,0.00019899246,0.00023545777,0.0017373697,0.056946166,0.03439937,0.00001536795,0.08614315,0.0203174,0.0026674406],"about_ca_topic_score_codex":0.052428402,"about_ca_topic_score_gemma":0.35133728,"teacher_disagreement_score":0.85169184,"about_ca_system_score_codex":0.00219459,"about_ca_system_score_gemma":0.00012680964,"threshold_uncertainty_score":0.9999335},"labels":[],"label_agreement":null},{"id":"W2150698685","doi":"10.2139/ssrn.408140","title":"Corporate Investment and Asset Price Dynamics: Implications for the Cross-Section of Returns","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":291,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Financial economics; Asset (computer security); Economics; Investment (military); Capital asset pricing model; Business; Section (typography); Monetary economics","score_opus":0.030521185787719705,"score_gpt":0.24850520294561462,"score_spread":0.21798401715789492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150698685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.853565,0.09714321,0.04266556,0.0024703247,0.00046533803,0.0005436353,0.00016324791,0.000017746992,0.0029659534],"genre_scores_gemma":[0.9672802,0.030470539,0.00019039706,0.00010653308,0.00007266382,0.00002229598,0.000014128845,0.0000129748105,0.0018302683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988547,0.00001507263,0.0004062255,0.00016029924,0.000023578172,0.00054012384],"domain_scores_gemma":[0.9990273,0.000063140906,0.00064412464,0.00016015091,0.000062516025,0.000042748634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014103604,0.000089409616,0.00017879902,0.000119134325,0.00026990505,0.000078040975,0.00011666558,0.000055440665,0.000015795293],"category_scores_gemma":[0.00008586984,0.000071970404,0.00012791321,0.00020292227,0.00007805378,0.00014612036,0.000011670351,0.00033274552,0.000004265499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069580337,0.000029147484,0.051376846,0.0000038227895,0.00017443982,2.8527904e-8,0.000051259554,0.00005853161,0.000025507767,0.94810706,0.00006746568,0.00009894705],"study_design_scores_gemma":[0.00036037856,0.00013184453,0.028216887,0.0000019967902,0.000034232027,0.000037996986,0.0002537603,0.0022746373,0.000026215786,0.96633244,0.002239771,0.00008984681],"about_ca_topic_score_codex":0.000067878165,"about_ca_topic_score_gemma":0.00064959086,"teacher_disagreement_score":0.11371522,"about_ca_system_score_codex":0.0004470086,"about_ca_system_score_gemma":0.00017145241,"threshold_uncertainty_score":0.29348677},"labels":[],"label_agreement":null},{"id":"W2151349532","doi":"10.2139/ssrn.1087112","title":"Options Trading Activity and Firm Valuation","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Valuation (finance); Business; Enterprise value; Market value; Value (mathematics); Market value added; Financial economics; Economics; Monetary economics; Microeconomics; Finance","score_opus":0.028376761745959458,"score_gpt":0.24437689871139565,"score_spread":0.21600013696543618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151349532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93230563,0.041819192,0.023603134,0.0004688894,0.000117088945,0.000060205177,0.0000027990307,0.000012351041,0.0016107281],"genre_scores_gemma":[0.97325027,0.025115672,0.00010756891,0.000032229622,0.00014964835,0.0000017356855,0.0000018929395,0.000008485937,0.001332505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988222,0.000010079306,0.00023730681,0.00014373145,0.000034154935,0.00075253856],"domain_scores_gemma":[0.9996396,0.00003487693,0.0001785612,0.00007202859,0.000014589095,0.000060376227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025964878,0.000075314354,0.00014578605,0.0002366361,0.00021712642,0.000060492286,0.00006538168,0.00004935608,0.00004513582],"category_scores_gemma":[0.00003778102,0.00007870955,0.00009418867,0.0001706721,0.000026956715,0.00027213583,0.000011020229,0.00050004374,0.000034236935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008390057,0.000031869837,0.0063536908,0.0000011344847,0.00009109608,5.9199965e-7,0.000101915844,0.000012790989,0.00008311279,0.98626465,0.00001382556,0.0070369462],"study_design_scores_gemma":[0.00029777555,0.00007341479,0.03431642,0.0000020998768,0.000022452065,0.000041386775,0.00026202353,0.0036206234,0.00006286572,0.9605908,0.0005914023,0.00011875151],"about_ca_topic_score_codex":0.0001286729,"about_ca_topic_score_gemma":0.0006042486,"teacher_disagreement_score":0.04094465,"about_ca_system_score_codex":0.00045640086,"about_ca_system_score_gemma":0.000059557093,"threshold_uncertainty_score":0.32096824},"labels":[],"label_agreement":null},{"id":"W2154973290","doi":"10.1111/1468-0335.00290","title":"Acquisitions and Investment","year":2002,"lang":"en","type":"article","venue":"Economica","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada; University of Ottawa; Massachusetts Institute of Technology","keywords":"Shadow (psychology); Investment (military); Variety (cybernetics); Value (mathematics); Capital (architecture); Shadow price; Econometrics; Economics; Panel data; Capital investment; Set (abstract data type); Microeconomics; Business; Finance; Computer science; Statistics; Mathematics","score_opus":0.03758135850621856,"score_gpt":0.1788342198513771,"score_spread":0.14125286134515852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154973290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7334233,0.02381588,0.000029131183,0.003021241,0.00022043953,0.000113122675,0.00007941016,0.000050513663,0.239247],"genre_scores_gemma":[0.9852651,0.0028402214,0.00047656722,0.0018955651,0.00010138658,0.000018899163,0.00001060472,0.00001320749,0.009378472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929136,0.0000037978753,0.00028743246,0.0002582998,0.000007141039,0.00015194708],"domain_scores_gemma":[0.9995923,0.000015627957,0.00010170861,0.00019287631,0.0000036326815,0.000093869465],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000078332196,0.00008943443,0.00020237958,0.00014156051,0.00009395204,0.00006910455,0.00007662563,0.0000425564,0.005788378],"category_scores_gemma":[0.000007926522,0.00010372231,0.00007888637,0.0000624485,0.00006521721,0.00017160561,0.000039537037,0.000048490147,0.004855508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.5049966e-7,0.000039529466,0.003738813,0.0000025166491,0.00004714218,8.7326237e-7,0.00027566843,0.000008308192,0.000006383356,0.98311955,0.012622216,0.00013834517],"study_design_scores_gemma":[0.00066061586,0.000073663294,0.015979027,0.000005000989,0.000021913678,0.000008005496,0.000103820654,0.025368625,0.00008080924,0.45018992,0.507032,0.00047659597],"about_ca_topic_score_codex":0.00006579443,"about_ca_topic_score_gemma":0.000015240213,"teacher_disagreement_score":0.5329296,"about_ca_system_score_codex":0.000048170885,"about_ca_system_score_gemma":0.0000012290482,"threshold_uncertainty_score":0.99591935},"labels":[],"label_agreement":null},{"id":"W2156536180","doi":"10.5539/ijef.v3n1p171","title":"The Link between Purchase Delay and Resale Price Maintenance: Using the Real Options Approach","year":2011,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Resale price maintenance; Incentive; Business; Price elasticity of demand; Microeconomics; Free riding; Marketing; Industrial organization; Economics","score_opus":0.06441438598117048,"score_gpt":0.2444133045421323,"score_spread":0.17999891856096184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156536180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756214,0.017382154,0.0011520482,0.0022895015,0.00044155223,0.00008606745,0.00007821638,0.0000025476845,0.0029464911],"genre_scores_gemma":[0.8284259,0.16764468,0.0029055958,0.000083880135,0.00057978363,0.0000032291284,0.0000029882258,0.000011143078,0.00034280808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902487,0.000012300149,0.00062375626,0.000163598,0.000027578879,0.0001479078],"domain_scores_gemma":[0.99890304,0.000071225644,0.00075672875,0.00014333926,0.000082343235,0.00004334748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007282853,0.0001019892,0.00022218411,0.000112758484,0.00021878575,0.00014988433,0.00037042046,0.000053819447,0.000007458609],"category_scores_gemma":[0.000035431323,0.00007113405,0.00011540179,0.000060686743,0.00021509617,0.0002788499,0.000098276534,0.00017714837,0.0000037827674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039749484,0.000018534347,0.00838367,0.0000017212041,0.00023516732,0.000004491534,0.0007948753,0.00049845286,0.0000015213471,0.98662513,0.00007614161,0.0033205664],"study_design_scores_gemma":[0.0016395117,0.00020723903,0.073017426,0.00004375938,0.000082061495,0.00027412834,0.0009899407,0.13020873,0.00005238618,0.63080144,0.16219486,0.0004885086],"about_ca_topic_score_codex":0.00022423375,"about_ca_topic_score_gemma":0.000020319536,"teacher_disagreement_score":0.35582367,"about_ca_system_score_codex":0.00006745471,"about_ca_system_score_gemma":0.000026540414,"threshold_uncertainty_score":0.29007623},"labels":[],"label_agreement":null},{"id":"W2156556102","doi":"10.5430/afr.v2n4p11","title":"Survival Analysis on the Timing of Foreign Banks into China from the Aspect of Traditional Real Option","year":2013,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Monopoly; Business; Economics; Cash flow; Market timing; Monetary economics; Finance; Market economy","score_opus":0.10284513346867258,"score_gpt":0.2848490404853137,"score_spread":0.1820039070166411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156556102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878393,0.0020061196,0.00010162693,0.0010322134,0.000031047548,0.00013579146,0.000058868765,0.0000041451067,0.008790877],"genre_scores_gemma":[0.9951266,0.004366151,0.00014658901,0.000020680392,0.000109304965,0.000025849624,0.00003343675,0.000007582147,0.00016382414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99890476,0.00006775441,0.00039866602,0.00026159684,0.00016020947,0.00020699628],"domain_scores_gemma":[0.9983988,0.0009267935,0.00024626974,0.0003170709,0.00009463759,0.000016475933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022631874,0.00008752124,0.0003055005,0.0002592121,0.00029917894,0.000088226436,0.00027335004,0.0000624466,0.0002873395],"category_scores_gemma":[0.00024290946,0.000057729292,0.00016807986,0.0009180352,0.00027301087,0.00017780266,0.00006643675,0.0002442788,0.000040657385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015922677,0.00006349063,0.11018431,0.000008424008,0.00022876365,2.9274983e-7,0.0008217894,0.0001899817,0.00007728029,0.88617635,0.00055792386,0.0016754726],"study_design_scores_gemma":[0.00010174797,0.000048515154,0.72566754,0.00001672947,0.000027234448,8.915391e-8,0.00040118562,0.038045302,0.0001301712,0.23536237,0.00013089475,0.00006823387],"about_ca_topic_score_codex":0.021458762,"about_ca_topic_score_gemma":0.0002064807,"teacher_disagreement_score":0.650814,"about_ca_system_score_codex":0.000033027798,"about_ca_system_score_gemma":0.000015201973,"threshold_uncertainty_score":0.9850574},"labels":[],"label_agreement":null},{"id":"W2156602151","doi":"10.1109/esc.2007.11","title":"Valuating Software Service Development: Integrating COCOMO II and Real Options Theory","year":2007,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; COCOMO; Software engineering; Web service; Software development; Service (business); Business Process Execution Language; Service-oriented architecture; Process management; Software; World Wide Web; Software construction; Engineering; Programming language; Business","score_opus":0.036470429239819746,"score_gpt":0.24478030965251135,"score_spread":0.2083098804126916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156602151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93637764,0.0052237175,0.02034958,0.00020759797,0.00010231313,0.00013091433,0.000009975376,0.000100959325,0.037497267],"genre_scores_gemma":[0.87935925,0.0011474288,0.10908956,0.0009615007,0.00010606646,0.000015723015,0.00006396761,0.000028959437,0.009227572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990159,0.00000916,0.00047782328,0.00025071736,0.000030450472,0.00021589645],"domain_scores_gemma":[0.99947864,0.000113846756,0.0001601349,0.00013028987,0.000039916635,0.000077188066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013340106,0.00011413279,0.00020336547,0.00019467104,0.00043144845,0.000060760827,0.0000940884,0.00006347273,0.00048467572],"category_scores_gemma":[0.000082609135,0.00010981043,0.00004927381,0.00029014688,0.000029876037,0.00017656875,0.000109161905,0.00009405823,0.00014117427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038987027,0.000031467513,0.028246397,0.000010924729,0.00005891826,0.0000010156792,0.0032508865,0.000009033147,0.000028350925,0.9636042,0.00006210496,0.004692808],"study_design_scores_gemma":[0.0014840082,0.00013491458,0.20557597,0.00009779899,0.00008169387,0.000013081104,0.012077269,0.014398541,0.0013319367,0.7465184,0.016842147,0.0014442845],"about_ca_topic_score_codex":0.00051648717,"about_ca_topic_score_gemma":0.001158641,"teacher_disagreement_score":0.21708584,"about_ca_system_score_codex":0.00005832504,"about_ca_system_score_gemma":0.0000139182885,"threshold_uncertainty_score":0.5306859},"labels":[],"label_agreement":null},{"id":"W2157256717","doi":"10.1111/j.1468-036x.2009.00514.x","title":"Optimal Investment Decisions for Two Positioned Firms Competing in a Duopoly Market with Hidden Competitors","year":2009,"lang":"en","type":"article","venue":"European Financial Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Duopoly; Competitor analysis; Competition (biology); Microeconomics; Investment (military); Value (mathematics); Industrial organization; Position (finance); Economics; Market share; Investment strategy; Business; Cournot competition; Marketing; Computer science; Finance","score_opus":0.016695858539841055,"score_gpt":0.21364733625290175,"score_spread":0.1969514777130607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157256717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59145033,0.0028399804,0.01047044,0.0020657098,0.00048498684,0.0018165181,0.00014049641,0.0001450851,0.39058644],"genre_scores_gemma":[0.964081,0.0003545487,0.02929647,0.0021541559,0.0002502587,0.000050149367,0.00009315033,0.000043532822,0.0036767342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983123,0.000041761257,0.00064858457,0.00052715105,0.000078497804,0.00039173587],"domain_scores_gemma":[0.9992536,0.000044706412,0.0002518777,0.0003273192,0.00002383181,0.00009870532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000639231,0.00023360531,0.00038243996,0.00046698435,0.00020470383,0.00012437477,0.0002967179,0.000025951278,0.000120254525],"category_scores_gemma":[0.000039354578,0.00023524874,0.0001591843,0.00045419636,0.000051112384,0.0001524307,0.00009686627,0.00010763511,0.00022566172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018887025,0.00039899777,0.0023856226,0.000016858745,0.00006610828,0.0001306901,0.00046057694,0.0008750334,0.000007405317,0.9869626,0.0048534535,0.0036537582],"study_design_scores_gemma":[0.011941589,0.0018902782,0.6720544,0.0005360273,0.00017807234,0.000010824724,0.00076362793,0.015302472,0.00006221496,0.09255469,0.20269936,0.0020064046],"about_ca_topic_score_codex":0.000054478784,"about_ca_topic_score_gemma":0.000061976694,"teacher_disagreement_score":0.8944079,"about_ca_system_score_codex":0.0001431252,"about_ca_system_score_gemma":0.000008714499,"threshold_uncertainty_score":0.9593165},"labels":[],"label_agreement":null},{"id":"W2160374806","doi":"","title":"Short-Run and Long-Run Dynamics of Resource Commodity Prices","year":2004,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Short run; Economics; Volatility (finance); Spot contract; Commodity; Mid price; Contango; Flexibility (engineering); Econometrics; Microeconomics; Price level; Monetary economics; Macroeconomics; Financial economics; Futures contract; Finance","score_opus":0.023864803655406407,"score_gpt":0.21713005167346097,"score_spread":0.19326524801805456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160374806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97244644,0.0053627556,0.0030036257,0.00072559895,0.000044535886,0.00008864125,0.00007716063,0.000025178346,0.018226074],"genre_scores_gemma":[0.9967396,0.001274991,0.00072432106,0.00011531123,0.000025183708,0.0000026052064,0.00004518428,0.0000096696795,0.0010631236],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99921584,0.0000037291763,0.00037884805,0.00022737247,0.00002981293,0.00014438476],"domain_scores_gemma":[0.99954,0.000023201283,0.00012916455,0.00022690016,0.000014792612,0.000065983135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019742783,0.00010139117,0.00030892354,0.00015854744,0.000063969776,0.000037698534,0.00012699129,0.00006993831,0.00012643759],"category_scores_gemma":[0.0000148466,0.00009910384,0.00010120854,0.00019416765,0.00011236896,0.00013413405,0.00007085291,0.00007424942,0.000041874417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055540263,0.00009281836,0.11452624,0.000020141713,0.000065368775,0.0000017312838,0.00021588858,0.0001968626,0.0000025026352,0.88411766,0.00014361876,0.0006115891],"study_design_scores_gemma":[0.0014809174,0.0002710301,0.48293468,0.00003681525,0.00009908753,0.000010600232,0.0009345351,0.0260642,0.0005302347,0.47536287,0.011369765,0.00090527354],"about_ca_topic_score_codex":0.00066485675,"about_ca_topic_score_gemma":0.0011202799,"teacher_disagreement_score":0.40875483,"about_ca_system_score_codex":0.00006125289,"about_ca_system_score_gemma":0.000005437297,"threshold_uncertainty_score":0.40413374},"labels":[],"label_agreement":null},{"id":"W2160953677","doi":"10.1016/j.jmoneco.2009.02.001","title":"The Irreversibility Premium","year":2008,"lang":"en","type":"article","venue":"Journal of Monetary Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Risk premium; Depreciation (economics); Stock (firearms); Investment (military); Econometrics; Earnings; Cost of capital; Financial economics; Monetary economics; Microeconomics; Finance; Capital formation","score_opus":0.03384379565022384,"score_gpt":0.18279862477461944,"score_spread":0.14895482912439562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160953677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690817,0.025325796,0.00006229832,0.0012596821,0.0007319099,0.000055863038,0.000017727589,0.0000049762357,0.0034600445],"genre_scores_gemma":[0.9541081,0.043298967,0.0005759467,0.00021103628,0.00030205218,8.269527e-7,0.0000026148373,0.000011309025,0.0014891443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986827,0.000014191124,0.00095145276,0.00014811625,0.0000235136,0.00018005297],"domain_scores_gemma":[0.9986083,0.00009384482,0.0008808874,0.00028469058,0.00003183694,0.00010046524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007262104,0.00010596839,0.00036674592,0.00011836299,0.00023650551,0.000038524882,0.00033338272,0.00005861648,0.00011662715],"category_scores_gemma":[0.000056909656,0.00008514221,0.00038950198,0.00008375319,0.00013802097,0.0003596419,0.000040300343,0.00019178134,0.00016641774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030079417,0.0003937204,0.6640551,0.000018868712,0.0015515834,0.000068957124,0.001661916,0.008320837,0.000019094537,0.26852342,0.05308047,0.0020052288],"study_design_scores_gemma":[0.0016728787,0.00037611072,0.3751466,0.000010794591,0.00008690373,0.00037467913,0.00037324356,0.020300565,0.0001610279,0.3140203,0.28689164,0.000585229],"about_ca_topic_score_codex":0.00006623932,"about_ca_topic_score_gemma":0.000034062046,"teacher_disagreement_score":0.2889085,"about_ca_system_score_codex":0.0001228347,"about_ca_system_score_gemma":0.000034625773,"threshold_uncertainty_score":0.34719986},"labels":[],"label_agreement":null},{"id":"W2162565316","doi":"10.1016/j.nbt.2013.12.001","title":"Improving value assessment of high-risk, high-reward biotechnology research: the role of ‘thick tails’","year":2013,"lang":"en","type":"article","venue":"New Biotechnology","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Flexibility (engineering); Downside risk; Value (mathematics); Biotechnology; Economics; Business; Computer science; Financial economics; Biology; Portfolio; Management; Machine learning","score_opus":0.02789152897157886,"score_gpt":0.2542716499790064,"score_spread":0.22638012100742755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162565316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96985275,0.009498594,0.0021364563,0.01672081,0.0002493771,0.0005284685,0.00007183538,0.00012503762,0.0008166832],"genre_scores_gemma":[0.98748475,0.0051660663,0.006665163,0.0000616154,0.000068838606,0.0000447121,0.000011970231,0.000029814963,0.00046706432],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99769086,0.0000798414,0.00095401215,0.00058992766,0.000120113065,0.00056522567],"domain_scores_gemma":[0.9975185,0.00018916916,0.0008693729,0.0012478653,0.00010319069,0.00007190901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010930673,0.00021489288,0.0007464477,0.0012810886,0.00018364612,0.00003604546,0.0010634385,0.0010143516,0.00046091934],"category_scores_gemma":[0.0003937265,0.00017633349,0.00020572681,0.0013494443,0.0010586443,0.00014292098,0.00055358023,0.0010783819,0.00032548452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049806113,0.00009875438,0.005359589,0.00001535989,0.00016856843,7.900958e-7,0.00007986034,0.000041996882,0.01764059,0.9586353,0.00069448224,0.017259777],"study_design_scores_gemma":[0.00061508483,0.0005874581,0.010414141,0.00001431279,0.00004386962,0.0000037166405,0.0008012244,0.006103995,0.15836215,0.8127981,0.009997037,0.00025890867],"about_ca_topic_score_codex":0.08519672,"about_ca_topic_score_gemma":0.0005274473,"teacher_disagreement_score":0.14583714,"about_ca_system_score_codex":0.00012933179,"about_ca_system_score_gemma":0.00008772423,"threshold_uncertainty_score":0.92089504},"labels":[],"label_agreement":null},{"id":"W2164327609","doi":"10.1080/00137910108967560","title":"REAL OPTIONS VALUATION AND ITS RELATIONSHIP TO BAYESIAN DECISION-MAKING METHODS","year":2001,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Economics; Arbitrage; Valuation (finance); Option value; Stochastic game; Valuation of options; Arrow; Value of information; Mathematical economics; Asian option; Value (mathematics); Actuarial science; Call option; Black–Scholes model; Flexibility (engineering); Econometrics; Microeconomics; Financial economics; Computer science; Finance; Incentive","score_opus":0.04855541623032618,"score_gpt":0.2964096133745213,"score_spread":0.24785419714419515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164327609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8050842,0.0067836246,0.18030798,0.002233744,0.00039824948,0.0003631016,0.000020550864,0.000105740335,0.0047027706],"genre_scores_gemma":[0.975068,0.0008315839,0.023089044,0.000076849734,0.00011305435,0.000045018372,0.000005298434,0.000019864547,0.0007513135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992582,0.000011609681,0.0003433683,0.00021761966,0.000015275538,0.0001538843],"domain_scores_gemma":[0.9992966,0.00031833397,0.00008475366,0.00021553818,0.000013435036,0.0000713521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006771645,0.00010265653,0.00018154155,0.00021722062,0.00014475765,0.00011358743,0.00012255457,0.000047804926,0.00020473165],"category_scores_gemma":[0.00024782587,0.00010076593,0.00006847019,0.00022004818,0.00001034782,0.0001845744,0.000042005533,0.00008740851,0.00030495037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050702592,0.00001177278,0.005594892,0.0000056996764,0.000051199262,5.841535e-7,0.0004563671,0.08630854,0.000030519946,0.9050764,0.00020302688,0.0022559506],"study_design_scores_gemma":[0.0001412192,0.00001739079,0.13394761,0.000017754468,0.000020312029,0.0000064561655,0.000057979698,0.72015196,0.000012132095,0.14181945,0.0035809057,0.00022683443],"about_ca_topic_score_codex":0.00010349565,"about_ca_topic_score_gemma":0.0000296504,"teacher_disagreement_score":0.7632569,"about_ca_system_score_codex":0.00009233902,"about_ca_system_score_gemma":0.000005736935,"threshold_uncertainty_score":0.41091156},"labels":[],"label_agreement":null},{"id":"W2168712456","doi":"10.1287/opre.1060.0333","title":"Online Low-Price Guarantees—A Real Options Analysis","year":2006,"lang":"en","type":"article","venue":"Operations Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Reservation; Renting; Purchasing; Reservation price; Business; Product (mathematics); Service (business); Service provider; Marketing; Liberian dollar; Automotive industry; Microeconomics; Commerce; Economics; Computer science; Finance","score_opus":0.07322361096623393,"score_gpt":0.33617223393628537,"score_spread":0.26294862297005145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168712456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9496148,0.006850904,0.0012434319,0.002162271,0.00007035566,0.00024037638,0.00054255285,0.0000484307,0.039226867],"genre_scores_gemma":[0.9442744,0.0055238907,0.0018389366,0.000043058542,0.00024091992,0.000056605008,0.00094295276,0.000016314496,0.047062915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998492,0.00007376736,0.00052700564,0.00041315562,0.00012363863,0.0003704066],"domain_scores_gemma":[0.9991201,0.00007504082,0.000036636993,0.0004890094,0.00020191066,0.00007727345],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010813527,0.000104976556,0.0002956729,0.0015632065,0.000613603,0.0003089823,0.00026454407,0.0000831184,0.0025583503],"category_scores_gemma":[0.00008930162,0.00010879136,0.00024879567,0.003561303,0.00013168555,0.00027347548,0.00007718123,0.00024236683,0.0018180279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004644148,0.0005092153,0.0069650444,0.0000040053733,0.0002493255,0.000004322468,0.0001128472,0.03296425,0.00016411365,0.9562235,0.0027736404,0.000025091203],"study_design_scores_gemma":[0.00056800945,0.00008936824,0.19109082,0.000007953867,0.00012600498,0.0000017775313,0.00046827516,0.759286,0.00017608536,0.03237326,0.015340765,0.00047168473],"about_ca_topic_score_codex":0.020945914,"about_ca_topic_score_gemma":0.014644653,"teacher_disagreement_score":0.92385024,"about_ca_system_score_codex":0.00015191679,"about_ca_system_score_gemma":0.000041195995,"threshold_uncertainty_score":0.9989592},"labels":[],"label_agreement":null},{"id":"W2169468530","doi":"10.1093/cep/byg023","title":"The Optimal Time to License a Biotech “Lemon”","year":2003,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"License; Externality; Business; Dilemma; Genetically modified organism; Biotechnology; Agricultural science; Economics; Industrial organization; Microeconomics; Biology; Mathematics; Computer science","score_opus":0.025052845870266374,"score_gpt":0.22719303040838057,"score_spread":0.2021401845381142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169468530","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3177776,0.03046759,0.00016238146,0.020270532,0.0006410183,0.0008618964,0.00041984732,0.00018736502,0.6292118],"genre_scores_gemma":[0.90716684,0.0010579468,0.000286978,0.002651342,0.00042380992,0.00006647686,0.000021684617,0.000058863727,0.088266075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821407,0.00003530339,0.000767327,0.0004980315,0.000022941722,0.00046233693],"domain_scores_gemma":[0.9986541,0.00009648999,0.00029699982,0.00067087327,0.000013028467,0.00026847475],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00069641677,0.00024043734,0.00045758416,0.00040308593,0.0003120459,0.00023690476,0.00042058362,0.00011509165,0.0010165537],"category_scores_gemma":[0.00015753036,0.00022243988,0.00028298487,0.00027322953,0.000112673755,0.00027799886,0.00008975353,0.00013826009,0.035155166],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023239116,0.000037139012,0.0009080061,0.0000028374673,0.00015521632,0.0000037092705,0.00025898765,0.000109793014,0.0000367466,0.8973096,0.100757524,0.00039721164],"study_design_scores_gemma":[0.0004220017,0.00007181734,0.00051732134,0.000004187625,0.0000052505993,0.000005883835,0.0000597845,0.0018020679,0.00027239232,0.021491762,0.9749987,0.000348827],"about_ca_topic_score_codex":0.0010050479,"about_ca_topic_score_gemma":0.000025852234,"teacher_disagreement_score":0.87581784,"about_ca_system_score_codex":0.00029661544,"about_ca_system_score_gemma":0.00018436197,"threshold_uncertainty_score":0.99989665},"labels":[],"label_agreement":null},{"id":"W2169613733","doi":"10.5547/issn0195-6574-ej-vol22-no3-2","title":"Adelman's Rule and the Petroleum Firm","year":2001,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Rule of thumb; Stylized fact; Economics; Valuation (finance); Econometrics; Microeconomics; Resource (disambiguation); Discounted cash flow; Mathematical economics; Computer science; Macroeconomics","score_opus":0.014873477532655575,"score_gpt":0.18631002934107782,"score_spread":0.17143655180842224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169613733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67977154,0.23297164,0.0011079655,0.027873505,0.00071434816,0.000046140816,0.000008946604,0.00002343714,0.057482492],"genre_scores_gemma":[0.93759084,0.04514454,0.00003289642,0.0010220233,0.0004819812,0.000003632623,0.000001345159,0.000009758406,0.015712973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99938214,0.00002892752,0.00027792362,0.000102215046,0.000036469486,0.00017229977],"domain_scores_gemma":[0.9995084,0.000048803096,0.0002027493,0.00017039952,0.000011857941,0.000057814184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006127881,0.00008353404,0.00018812415,0.000081967846,0.00040593816,0.00015171744,0.0002242445,0.000031840784,0.00048381224],"category_scores_gemma":[0.000020543761,0.000044492434,0.00015191553,0.000112105125,0.0001558059,0.00010996258,0.000048365557,0.00016544615,0.000073874486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003360875,0.000016177304,0.0028026763,4.6487096e-7,0.00011470228,0.0000074547384,0.000284138,0.00031299616,0.000002359557,0.99218464,0.0035508755,0.000689887],"study_design_scores_gemma":[0.0013790337,0.000031674925,0.006320975,0.0000051324814,0.000043674765,0.00031166262,0.00031451657,0.016802713,0.000013995521,0.6224904,0.352129,0.00015724033],"about_ca_topic_score_codex":0.00028799387,"about_ca_topic_score_gemma":0.000048379927,"teacher_disagreement_score":0.3696943,"about_ca_system_score_codex":0.000022969174,"about_ca_system_score_gemma":0.0000057605944,"threshold_uncertainty_score":0.52974045},"labels":[],"label_agreement":null},{"id":"W2169651209","doi":"10.1504/ijram.2007.014661","title":"Preferences, utility and risk perception in engineering decision making","year":2007,"lang":"en","type":"article","venue":"International Journal of Risk Assessment and Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Premise; Preference; Risk analysis (engineering); Reputation; Risk aversion (psychology); Perception; Prospect theory; Risk perception; Actuarial science; Ranking (information retrieval); Economics; Loss aversion; Expected utility hypothesis; Microeconomics; Psychology; Computer science; Business; Political science; Financial economics; Artificial intelligence","score_opus":0.018015461572881846,"score_gpt":0.2830734664712049,"score_spread":0.26505800489832304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169651209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92888385,0.0021303152,0.06748047,0.00006689075,0.000382402,0.00006710127,0.000011224724,0.0000041542917,0.0009735986],"genre_scores_gemma":[0.93148106,0.051770452,0.016626827,0.000020765681,0.00007616516,0.0000012458493,0.0000023483576,0.0000045650127,0.000016581722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906856,0.000010761353,0.00055812974,0.00014965035,0.00010762843,0.000105244166],"domain_scores_gemma":[0.9993227,0.00008723956,0.00044598465,0.00006044012,0.000042527023,0.000041085805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015313403,0.00008446229,0.00017397612,0.0006053446,0.000038007194,0.00010308063,0.00012190719,0.000032582662,0.00005967946],"category_scores_gemma":[0.000035055138,0.000080281454,0.0000621646,0.000090833964,0.000018435809,0.00028430336,0.00008765849,0.00015065708,0.0000029234907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052080948,0.00006957298,0.8493953,0.000009621262,0.00019576796,0.000017657443,0.00024431516,0.0002839931,0.0000019074798,0.043368116,0.00006576688,0.10629591],"study_design_scores_gemma":[0.00061476,0.00003168333,0.9423723,0.000065031825,0.000030040852,0.000004813079,0.00029697377,0.014976495,0.0000011114909,0.040000126,0.0015244826,0.00008217666],"about_ca_topic_score_codex":0.00010911948,"about_ca_topic_score_gemma":0.00013473493,"teacher_disagreement_score":0.10621373,"about_ca_system_score_codex":0.00012644817,"about_ca_system_score_gemma":0.0000034202455,"threshold_uncertainty_score":0.32737824},"labels":[],"label_agreement":null},{"id":"W2169746365","doi":"10.1287/opre.1080.0522","title":"Dynamic Capacity Expansion for a Service Firm with Capacity Deterioration and Supply Uncertainty","year":2008,"lang":"en","type":"article","venue":"Operations Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Obsolescence; Revenue; Profit (economics); Stock (firearms); Microeconomics; Economics; Purchasing; Capacity utilization; Industrial organization; Business; Operations management; Finance; Marketing","score_opus":0.13087281211565333,"score_gpt":0.3023482248545646,"score_spread":0.17147541273891126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169746365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99569994,0.000669704,0.0011297051,0.0014403067,0.00002690666,0.00048548283,0.00019985251,0.000015563943,0.0003325182],"genre_scores_gemma":[0.9927305,0.00089301803,0.0047089653,0.00009694254,0.000026965727,0.00020782807,0.000112257396,0.000013637066,0.0012098978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990328,0.000043655204,0.00025071006,0.00034271256,0.00008009523,0.00025002914],"domain_scores_gemma":[0.9992964,0.00007283239,0.000030034269,0.0002414542,0.00027066798,0.000088595705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006521809,0.0000976961,0.00019505975,0.00027706652,0.0009142293,0.00013505224,0.000102464546,0.00007117098,0.00008982899],"category_scores_gemma":[0.00009251235,0.000088273024,0.00004008147,0.00049385417,0.00016649324,0.00037306699,0.000035244706,0.00015049978,0.000076120254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008832406,0.0015523277,0.08838098,0.00051822147,0.00065275154,0.000025156798,0.04280179,0.043366868,0.031267922,0.7843851,0.00447416,0.0016914724],"study_design_scores_gemma":[0.0014096132,0.0005421541,0.06560477,0.000029114763,0.000015256743,0.000026562893,0.0007327299,0.9161542,0.0005273434,0.0106005,0.003933729,0.0004240396],"about_ca_topic_score_codex":0.0059676017,"about_ca_topic_score_gemma":0.013375942,"teacher_disagreement_score":0.8727873,"about_ca_system_score_codex":0.00013286712,"about_ca_system_score_gemma":0.000051340718,"threshold_uncertainty_score":0.90212685},"labels":[],"label_agreement":null},{"id":"W2170231646","doi":"10.1061/(asce)0733-9364(2007)133:2(169)","title":"Decision Making in Flexible Mine Production System Design Using Real Options","year":2007,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Flexibility (engineering); Risk analysis (engineering); Profitability index; Schedule; Production (economics); Engineering; Computer science; Business","score_opus":0.02623529148179403,"score_gpt":0.23135664679461992,"score_spread":0.20512135531282588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170231646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.502334,0.0032680735,0.49304587,0.000024184385,0.0009357979,0.00009104498,6.427256e-7,0.00001564052,0.00028473316],"genre_scores_gemma":[0.84830993,0.0032956728,0.1482079,0.00000313832,0.00012374225,0.0000010257098,2.97554e-7,0.000007670073,0.00005059347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917746,0.000004550088,0.00055069424,0.000109578854,0.00004448047,0.00011322691],"domain_scores_gemma":[0.999591,0.000017406508,0.00026298244,0.00006852253,0.000025579535,0.000034540775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090633536,0.00007248926,0.00018859265,0.0009201469,0.00004195698,0.000034892484,0.00003997533,0.000032549084,0.0000050529866],"category_scores_gemma":[0.00001448964,0.00007654062,0.000053246018,0.00029940638,0.000014541755,0.00019830657,0.000015717891,0.000071148344,0.0000018805862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061403174,0.000038112816,0.004642397,0.00014011718,0.0001549396,0.00004315393,0.0001439538,0.451378,0.00022414075,0.53606045,0.000050325318,0.0070630074],"study_design_scores_gemma":[0.0033356529,0.0003078143,0.1272003,0.0024556376,0.00036794643,0.0019918678,0.004695254,0.8300948,0.00086953415,0.022431154,0.005180287,0.0010697023],"about_ca_topic_score_codex":0.000016450405,"about_ca_topic_score_gemma":0.0000030258623,"teacher_disagreement_score":0.5136293,"about_ca_system_score_codex":0.0001813483,"about_ca_system_score_gemma":0.0000037559123,"threshold_uncertainty_score":0.3121236},"labels":[],"label_agreement":null},{"id":"W2172130929","doi":"10.1002/mde.1407","title":"Joint venture evolution: extending the real options approach","year":2008,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Divestment; Joint venture; Valuation (finance); Microeconomics; Joint (building); Industrial organization; Computer science; Process (computing); Stochastic game; Business; Economics; Finance; Business administration","score_opus":0.04458980126659299,"score_gpt":0.2074455438073843,"score_spread":0.16285574254079133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172130929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533185,0.016417865,0.007032326,0.00043568158,0.0010185504,0.0002251869,0.00006500216,0.00004407298,0.02144285],"genre_scores_gemma":[0.93568087,0.057666227,0.0038649691,0.00018322555,0.0005853302,0.000025478064,0.00003264963,0.000021632784,0.0019396238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988774,0.0000096197855,0.00050798384,0.0003855587,0.00002431363,0.00019511339],"domain_scores_gemma":[0.9993128,0.000043159427,0.00021074382,0.00034114174,0.000010364207,0.000081747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035722714,0.0001416517,0.0003218774,0.00018731978,0.0005334951,0.00012253041,0.00017259015,0.000087593566,0.00014863392],"category_scores_gemma":[0.00002390074,0.00011685911,0.00018594581,0.00015541207,0.00014275977,0.00023440154,0.00013900918,0.000106249594,0.00023016239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002217089,0.000042573494,0.0015341673,0.000003069033,0.00004772392,0.0000027056728,0.00016000713,0.0010196985,0.0000021801318,0.9936741,0.0023056185,0.0011859974],"study_design_scores_gemma":[0.00084963115,0.000055013614,0.080297455,0.0000062712297,0.000030735828,0.000048583206,0.0003468919,0.0546761,0.000004981725,0.80861866,0.054652892,0.00041281086],"about_ca_topic_score_codex":0.00018996086,"about_ca_topic_score_gemma":0.000019212292,"teacher_disagreement_score":0.18505545,"about_ca_system_score_codex":0.00008770355,"about_ca_system_score_gemma":0.000009378465,"threshold_uncertainty_score":0.47653764},"labels":[],"label_agreement":null},{"id":"W2175764007","doi":"10.19030/iber.v8i12.3194","title":"Investment Strategies, Trading Information And Option Market: Evidence From The Toronto Stock Exchange","year":2011,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Equity (law); Financial economics; Economics; Stock exchange; Order (exchange); Investment decisions; Stock (firearms); Business; Microeconomics; Finance; Behavioral economics","score_opus":0.15581917327769268,"score_gpt":0.3067143083659995,"score_spread":0.15089513508830682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175764007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91005594,0.03555922,0.0018286445,0.0048870104,0.0014975873,0.00041788246,0.00020474163,0.000022906708,0.0455261],"genre_scores_gemma":[0.89292383,0.10406154,0.00101695,0.00049561105,0.0007001593,0.00004904913,0.000053305554,0.000021309503,0.0006782486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984113,0.00006844423,0.0007974961,0.00026765006,0.00013950374,0.00031559606],"domain_scores_gemma":[0.9985699,0.00022076008,0.00048292466,0.00024269195,0.0003287184,0.00015502062],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001693001,0.00016684427,0.00024556785,0.00031171268,0.0003608501,0.001176232,0.00063974946,0.00009301196,0.0032666614],"category_scores_gemma":[0.00023832137,0.00014567244,0.00010427812,0.00017229826,0.00016423844,0.005527963,0.00019744254,0.00032759347,0.00015379899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054599304,0.00024964515,0.041942436,0.000048372247,0.0011496311,0.000021051203,0.018742636,0.00027226759,0.00007469856,0.8935202,0.019914802,0.02351828],"study_design_scores_gemma":[0.0009861642,0.00011320025,0.5001146,0.00018284444,0.000030187784,0.000065500324,0.0037890882,0.043981466,0.000042081265,0.35452375,0.09568948,0.00048163533],"about_ca_topic_score_codex":0.00934569,"about_ca_topic_score_gemma":0.0017182771,"teacher_disagreement_score":0.53899646,"about_ca_system_score_codex":0.0008189318,"about_ca_system_score_gemma":0.000113008406,"threshold_uncertainty_score":0.99986064},"labels":[],"label_agreement":null},{"id":"W2183143635","doi":"10.5539/ibr.v8n12p134","title":"Book Review: The Study on the Entry Timing of Foreign Banks from the Perspective of Real Option","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Business; Perspective (graphical); Supervisor; Financial system; Economics; Management; Political science; Computer science","score_opus":0.16633738628922892,"score_gpt":0.36689590020861496,"score_spread":0.20055851391938603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183143635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4210547,0.31660154,0.00014344421,0.10447015,0.0005554433,0.001931069,0.00034437457,0.000014468648,0.15488482],"genre_scores_gemma":[0.964833,0.032293618,0.0000068041586,0.00066579954,0.00018586124,0.000051985993,0.000021522077,0.000007948835,0.0019334414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989479,0.00012321482,0.00034322054,0.00018321627,0.00029738757,0.00010502255],"domain_scores_gemma":[0.99801314,0.0006313543,0.00020895532,0.00033772574,0.00078932877,0.00001951835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002214894,0.000066525805,0.00017114752,0.00012387816,0.00009262954,0.000044807835,0.0006159522,0.000025551233,0.0006038486],"category_scores_gemma":[0.0010421991,0.00003446662,0.00008504954,0.0004128408,0.00018407227,0.00011355151,0.00015385263,0.00018524245,0.00010111679],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018202876,0.00052551756,0.03234181,0.00001706262,0.0005572407,0.0000030258652,0.00422908,0.0001977487,0.000020778041,0.70188135,0.25980327,0.00024110064],"study_design_scores_gemma":[0.0012285127,0.00029415736,0.6323545,0.00047972426,0.000072826806,0.0000017431875,0.020026218,0.007380242,0.0002650779,0.22582856,0.11181648,0.00025195334],"about_ca_topic_score_codex":0.005857219,"about_ca_topic_score_gemma":0.00005397097,"teacher_disagreement_score":0.6000127,"about_ca_system_score_codex":0.00014211381,"about_ca_system_score_gemma":0.000035958496,"threshold_uncertainty_score":0.8854402},"labels":[],"label_agreement":null},{"id":"W2187423245","doi":"","title":"To wait or not to wait: When do announced Initial Public Offerings are completed?","year":2008,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Syndicate; Underwriting; Initial public offering; Business; Incentive; Leverage (statistics); Adverse selection; Competition (biology); Ex-ante; Monetary economics; Finance; Economics; Microeconomics; Computer science","score_opus":0.1323106258193122,"score_gpt":0.2625332334450233,"score_spread":0.13022260762571108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187423245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601431,0.00037004997,0.0009892954,0.009964951,0.00034190353,0.00037677956,0.00034567862,0.00013090769,0.027337346],"genre_scores_gemma":[0.9746216,0.00020837478,0.001549055,0.0073021245,0.00021908786,0.000038133552,0.00004297124,0.0000307233,0.015987938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982456,0.000009779882,0.0006266882,0.00056612585,0.0000868472,0.0004649353],"domain_scores_gemma":[0.99891955,0.00004109466,0.00016567425,0.0004326036,0.00008080476,0.00036029008],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019761467,0.00022927346,0.0005878879,0.0006121741,0.00023380997,0.00018719019,0.00037753058,0.00009729526,0.0046146973],"category_scores_gemma":[0.00013461873,0.00020859324,0.00020098149,0.0006423299,0.000055788878,0.00032355447,0.0001871971,0.00011684991,0.005019917],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036075414,0.00052562624,0.04911167,0.000043834047,0.00046577447,0.00013176881,0.006728571,0.00017717246,0.0002924537,0.6225402,0.31788036,0.0017418335],"study_design_scores_gemma":[0.0019004593,0.0006885999,0.11581315,0.000030654966,0.00003316862,0.000034039113,0.0009222849,0.004722438,0.00061688025,0.011337553,0.8621871,0.001713673],"about_ca_topic_score_codex":0.0009302083,"about_ca_topic_score_gemma":0.00064666383,"teacher_disagreement_score":0.6112026,"about_ca_system_score_codex":0.00013852784,"about_ca_system_score_gemma":0.000026781108,"threshold_uncertainty_score":0.9962952},"labels":[],"label_agreement":null},{"id":"W2188726840","doi":"","title":"Technological Progress, Industry Rivalry, and Stock Returns","year":2010,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Competitor analysis; Systematic risk; Economics; Financial economics; Market capitalization; Lagging; Stock (firearms); Econometrics; Stock market; Business; Marketing; Context (archaeology)","score_opus":0.024288320156744692,"score_gpt":0.22707299452809435,"score_spread":0.20278467437134964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188726840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97768337,0.0028070158,0.00002199686,0.002561474,0.000100376434,0.00009236967,0.000012874707,0.00009264279,0.016627887],"genre_scores_gemma":[0.9936489,0.00031032498,0.0017600483,0.00013803618,0.000058235455,0.000013383673,0.0000047591834,0.000007705939,0.0040585916],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933046,0.0000024493252,0.00022398452,0.00026138686,0.000019147341,0.0001625832],"domain_scores_gemma":[0.9995994,0.000011260257,0.000087881606,0.00021946222,0.000009430288,0.00007255552],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018114972,0.000091053895,0.00019134581,0.00013446259,0.000069368114,0.00006946327,0.00012486253,0.00037109625,0.0012139856],"category_scores_gemma":[0.00004584088,0.00007685837,0.000056754907,0.00017826396,0.00036639013,0.000105493964,0.00008296571,0.0005010731,0.0001979858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011269415,0.000034249853,0.24081233,0.0000019384152,0.000017456103,0.0000018902185,0.000017918852,6.478163e-8,0.000025435504,0.75709647,0.0008491055,0.0011420031],"study_design_scores_gemma":[0.00062638073,0.00012295994,0.22107223,0.0000058012733,0.000024657458,0.000024971598,0.0001949971,0.0038737166,0.0008212591,0.59951645,0.17308734,0.0006292358],"about_ca_topic_score_codex":0.00003683772,"about_ca_topic_score_gemma":0.000043743337,"teacher_disagreement_score":0.17223825,"about_ca_system_score_codex":0.000008349161,"about_ca_system_score_gemma":0.000003959169,"threshold_uncertainty_score":0.99969906},"labels":[],"label_agreement":null},{"id":"W2191729840","doi":"10.19030/jabr.v7i4.6208","title":"Capital Budgeting Use In Canada: Sophistication And Risk Attributes","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Business Research (JABR)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Brock University","funders":"","keywords":"Sophistication; Capital budgeting; Systematic risk; Business; Sample (material); Accounting; Test (biology); Capital (architecture); Actuarial science; Finance","score_opus":0.11408842830231966,"score_gpt":0.2505771126012466,"score_spread":0.13648868429892694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191729840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99327344,0.00416348,0.00013556148,0.00019518597,0.00009480428,0.00011285499,0.000039561965,0.0000027698673,0.0019823243],"genre_scores_gemma":[0.9894065,0.009534799,0.0008462311,0.000021267153,0.00010914942,0.00000626508,0.0000057982024,0.000014343245,0.00005563764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853957,0.000026497899,0.00073211174,0.00021105183,0.00016053609,0.0003302289],"domain_scores_gemma":[0.99869996,0.00018745575,0.00050154486,0.00016571302,0.00031250945,0.00013280907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015707993,0.000109087065,0.00038303668,0.0007200263,0.00012602161,0.00009144106,0.00021069493,0.000059965092,0.00014142775],"category_scores_gemma":[0.0005027672,0.00010280393,0.000045485926,0.0007785664,0.00011166715,0.00032744015,0.00008877868,0.00042017945,0.000026072967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002378704,0.00021120401,0.7143181,0.000065925466,0.00018620894,0.00009076667,0.0010788126,0.00020816665,0.00019138161,0.28001747,0.0016822891,0.001711812],"study_design_scores_gemma":[0.00056763744,0.000032313794,0.94523495,0.00002660773,0.000016316222,0.0000076032616,0.0006282755,0.0010302952,0.0001598482,0.050339974,0.0017927206,0.00016342793],"about_ca_topic_score_codex":0.6369754,"about_ca_topic_score_gemma":0.31346187,"teacher_disagreement_score":0.32351357,"about_ca_system_score_codex":0.00045859598,"about_ca_system_score_gemma":0.00044851284,"threshold_uncertainty_score":0.6990656},"labels":[],"label_agreement":null},{"id":"W2201096432","doi":"10.1007/978-3-540-78642-9_12","title":"Applying the Real Option Approach to Vendor Selection in IT Outsourcing","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Outsourcing; Vendor; Knowledge process outsourcing; Business; Purchasing; Valuation (finance); Operations management; Information technology; Industrial organization; Supply chain; Process management; Marketing; Finance; Economics; Computer science","score_opus":0.058697148567621864,"score_gpt":0.21545002658851853,"score_spread":0.15675287802089666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2201096432","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005289541,0.002069935,0.001803281,0.00021673428,0.0001101142,0.00078489765,0.000016511247,0.000037771588,0.9944318],"genre_scores_gemma":[0.056222912,0.014630485,0.0013365922,0.00068357855,0.0004917829,0.0004472267,0.00010126224,0.00008007251,0.9260061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987227,0.0000049470495,0.0005619112,0.0004556047,0.00005191183,0.00020298043],"domain_scores_gemma":[0.9994634,0.000022158316,0.00025310877,0.00019237988,0.000016554426,0.000052411826],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002755354,0.00021540147,0.00043218356,0.00055516924,0.00013942074,0.00006355007,0.0001642175,0.00020814233,0.0002103076],"category_scores_gemma":[0.00000931825,0.00018975965,0.00022163201,0.00013147871,0.000029042485,0.000089277004,0.00005454608,0.00028686118,0.0008241852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000854626,0.000027105816,0.0005183031,0.000012971725,0.00007982644,0.0000014547218,0.00064226525,0.0024927196,0.000002154182,0.9912412,0.003957736,0.0010157028],"study_design_scores_gemma":[0.00045504083,0.0000780622,0.0014774422,0.000054593675,0.000057604062,0.000014409814,0.00026331074,0.045619905,0.000009529743,0.053781297,0.8972311,0.00095770863],"about_ca_topic_score_codex":0.0011812074,"about_ca_topic_score_gemma":0.00033603018,"teacher_disagreement_score":0.93745995,"about_ca_system_score_codex":0.00026116025,"about_ca_system_score_gemma":0.000011860146,"threshold_uncertainty_score":0.9999538},"labels":[],"label_agreement":null},{"id":"W2203156740","doi":"10.1007/978-3-642-24820-7_19","title":"Management Motivation, Borrowing Cost Capitalization and Long-Term Construction Projects","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Capitalization; Term (time); Business; Physics","score_opus":0.016877515153524123,"score_gpt":0.1844729601902549,"score_spread":0.16759544503673077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203156740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050801616,0.10598177,0.8588598,0.000103186896,0.0007711017,0.0013693431,0.000035909266,0.00028697305,0.02751181],"genre_scores_gemma":[0.9567025,0.033745635,0.003474156,0.00011219807,0.00043541673,0.00008743993,0.00038819376,0.00020002903,0.004854436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987191,0.000003313542,0.00047828187,0.00048642204,0.000054090375,0.00025877607],"domain_scores_gemma":[0.99954003,0.00007542166,0.00014240544,0.00016684967,0.000018889377,0.00005640363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010635062,0.00029642883,0.00041752672,0.0009749731,0.000045671575,0.00008118753,0.00008983483,0.00032085436,0.00012803102],"category_scores_gemma":[0.00006620773,0.00033859618,0.00010454107,0.00023212016,0.000030056603,0.00016387436,0.000032008455,0.00034048056,0.000016411279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064374553,0.000015113469,0.0054661646,0.00019483388,0.00020712463,0.00003961409,0.00017229412,0.003145785,0.000008459372,0.9690919,0.000008867594,0.02164343],"study_design_scores_gemma":[0.0021730124,0.00038597657,0.050125364,0.0018526621,0.00052278436,0.00014266103,0.0000036948688,0.31746274,0.0007949894,0.6066997,0.014994741,0.004841655],"about_ca_topic_score_codex":0.000023274262,"about_ca_topic_score_gemma":0.000010990433,"teacher_disagreement_score":0.9516223,"about_ca_system_score_codex":0.00027105247,"about_ca_system_score_gemma":0.0000096111835,"threshold_uncertainty_score":0.9999066},"labels":[],"label_agreement":null},{"id":"W2206507479","doi":"10.2139/ssrn.2289562","title":"Towards the Next Generation of Performance Attribution for Institutional Investment Management","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Hospital Edmonton; Alberta Energy","funders":"","keywords":"Attribution; Business; Investment (military); Economics; Public economics; Psychology; Political science; Social psychology","score_opus":0.06980481702855286,"score_gpt":0.22401645959341626,"score_spread":0.15421164256486342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206507479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9170343,0.030399716,0.046131197,0.0024117227,0.00038816518,0.0005895061,0.000017673863,0.000010742239,0.0030169322],"genre_scores_gemma":[0.9648025,0.032893036,0.0003717151,0.00020087608,0.00021684029,0.000068485686,0.000035259087,0.0000068546765,0.0014044341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988082,0.000009782736,0.00041437993,0.0001337061,0.000058158224,0.00057574554],"domain_scores_gemma":[0.9995097,0.0000067033575,0.00026797477,0.0001219342,0.000061778665,0.000031918098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008761953,0.00008947571,0.00015147125,0.00013011911,0.00027757234,0.00006589616,0.00016689475,0.00003809242,0.00008555105],"category_scores_gemma":[0.000009719284,0.00006812214,0.00014995951,0.00015121627,0.00005630415,0.00037658718,0.000019402078,0.00022123312,0.000083986284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051123066,0.000039868788,0.00087191694,0.000008025884,0.00019209814,4.153972e-8,0.000050564908,0.00038174362,0.00006764741,0.99343854,0.00027690578,0.00466753],"study_design_scores_gemma":[0.0008488606,0.00031379025,0.010572084,0.000010793112,0.000061894214,0.000019801293,0.00036570674,0.042513654,0.0005020853,0.9201435,0.02444906,0.00019880405],"about_ca_topic_score_codex":0.000087209744,"about_ca_topic_score_gemma":0.00004678428,"teacher_disagreement_score":0.07329508,"about_ca_system_score_codex":0.0005691037,"about_ca_system_score_gemma":0.00013186742,"threshold_uncertainty_score":0.27779403},"labels":[],"label_agreement":null},{"id":"W2209595549","doi":"","title":"Some Important Issues Involving Real Options","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Redress; Risk analysis (engineering); Computer science; Management science; Data science; Business; Economics; Political science","score_opus":0.016000699748042104,"score_gpt":0.23418083616492297,"score_spread":0.21818013641688086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209595549","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1519987,0.843796,0.000029993522,0.0033642817,0.00017053755,0.000053354564,0.000009416045,0.000033240336,0.00054445845],"genre_scores_gemma":[0.18615124,0.80276847,0.00031899335,0.00014811252,0.001244351,0.000003634126,0.000010029636,0.000019737432,0.009335409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774843,0.000012922609,0.0006414685,0.00022272702,0.000052681524,0.0013217716],"domain_scores_gemma":[0.9993395,0.000011822649,0.00035034583,0.0001788048,0.000024720182,0.00009480894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011975343,0.00013792106,0.0002802561,0.00029446403,0.0002609923,0.000115475166,0.00021520721,0.00007277493,0.00029090472],"category_scores_gemma":[0.000027092305,0.0001380214,0.00024835687,0.00019074707,0.00003915678,0.0005786658,0.000031285253,0.0007636884,0.0005469257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004154562,0.00005570309,0.005753685,0.0000011911765,0.00016379895,0.0000015457546,0.00015997454,0.00006269646,0.0000366649,0.9931365,0.00048521443,0.00013884311],"study_design_scores_gemma":[0.00027578193,0.0000820206,0.0010560212,0.0000042636266,0.000022266517,0.00004755961,0.00046210553,0.0026600768,0.000023391589,0.98616016,0.009011856,0.00019451982],"about_ca_topic_score_codex":0.0004899048,"about_ca_topic_score_gemma":0.0018360738,"teacher_disagreement_score":0.04102752,"about_ca_system_score_codex":0.00082000904,"about_ca_system_score_gemma":0.00018950058,"threshold_uncertainty_score":0.70298064},"labels":[],"label_agreement":null},{"id":"W2210828402","doi":"10.1108/jrf-01-2015-0004","title":"Does R&amp;D create or resolve uncertainty?","year":2015,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Simon Fraser University","funders":"","keywords":"Endogeneity; Shadow (psychology); Economics; Value (mathematics); Volatility (finance); Interpretation (philosophy); Econometrics; Computer science","score_opus":0.05516057330603533,"score_gpt":0.24772207545186847,"score_spread":0.19256150214583315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210828402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9566783,0.037194833,0.0012905382,0.0017734106,0.0009334079,0.000090718604,0.00009827416,0.000012350117,0.0019282001],"genre_scores_gemma":[0.9167251,0.06699232,0.002140204,0.00024611596,0.00052383676,0.0000022658032,0.000002923932,0.000022971246,0.013344249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998771,0.000054666714,0.0007374211,0.0001301797,0.000085940694,0.00022077645],"domain_scores_gemma":[0.9979715,0.00017235868,0.0012871451,0.00035318043,0.00012315759,0.00009269224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018566408,0.00013811525,0.0004430449,0.00016346446,0.0001248317,0.00005249272,0.0004498309,0.000061011928,0.0001442109],"category_scores_gemma":[0.0005157544,0.000063320185,0.00020451918,0.00034615735,0.00012427753,0.0002514651,0.00005401349,0.00028700934,0.0003484666],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056131575,0.00096956926,0.1643061,0.00005828706,0.001666027,0.00017658487,0.042840898,0.052917052,0.000054008196,0.48007143,0.23884171,0.012485169],"study_design_scores_gemma":[0.0016877685,0.0003711429,0.013524203,0.000060853683,0.0001653538,0.00006381201,0.0011103901,0.0023381985,0.00013061287,0.36533868,0.61482894,0.00038003156],"about_ca_topic_score_codex":0.0009072285,"about_ca_topic_score_gemma":0.00047601198,"teacher_disagreement_score":0.37598726,"about_ca_system_score_codex":0.000097399075,"about_ca_system_score_gemma":0.00005230684,"threshold_uncertainty_score":0.44789493},"labels":[],"label_agreement":null},{"id":"W2218476478","doi":"10.1079/9780851995137.0273","title":"The theory of the gains from research.","year":2001,"lang":"en","type":"book-chapter","venue":"CABI Publishing eBooks","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Discounting; Rate of return; Investment (military); Economics; Product (mathematics); Internal rate of return; Actuarial science; Industrial organization; Financial economics; Business; Microeconomics; Finance; Production (economics); Mathematics","score_opus":0.13843057811178994,"score_gpt":0.26153360057837977,"score_spread":0.12310302246658983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218476478","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006583405,0.020127757,0.000018603927,0.001177743,0.00074359984,0.00026100816,0.00040521633,0.000026520665,0.9765812],"genre_scores_gemma":[0.023760356,0.0018956582,0.000018458077,0.0002974253,0.00058966054,0.00001769209,0.000049899358,0.000072631374,0.9732982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807006,0.00006623388,0.00077580026,0.0004926844,0.00020974672,0.00038545567],"domain_scores_gemma":[0.9968417,0.00080257625,0.0007285874,0.0013642246,0.00016872562,0.000094133604],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0029603583,0.00024713654,0.00049967726,0.0003026231,0.00058578904,0.0011884961,0.0016213035,0.00041783645,0.0005488155],"category_scores_gemma":[0.00068080286,0.0001628008,0.00058181235,0.000078516416,0.0008172167,0.00026108045,0.00052346964,0.0012110312,0.00020133489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000087027665,0.000006318883,0.00013240383,0.000006403265,0.00022801958,0.0000025091008,0.00047570473,0.0000016319433,0.0000016098999,0.9680678,0.02684569,0.0042232038],"study_design_scores_gemma":[0.000072938696,0.0000077839095,0.00014996015,0.00003513844,0.00001792312,3.7999197e-7,0.00007867544,0.000019720637,0.00000806483,0.52172387,0.47777683,0.000108729604],"about_ca_topic_score_codex":0.0008529608,"about_ca_topic_score_gemma":0.00047613052,"teacher_disagreement_score":0.45093113,"about_ca_system_score_codex":0.00018897287,"about_ca_system_score_gemma":0.00008817126,"threshold_uncertainty_score":0.99984837},"labels":[],"label_agreement":null},{"id":"W2221263875","doi":"10.1016/j.jeca.2015.10.002","title":"Issues in real options with shadow costs of incomplete information and short sales","year":2015,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shadow price; Economics; Valuation (finance); Complete information; Microeconomics; Cash flow; Sunk costs; Finance","score_opus":0.04032514641031386,"score_gpt":0.25141620939740217,"score_spread":0.2110910629870883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221263875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9826635,0.013621854,0.000105359424,0.0008570757,0.00008332759,0.0000724208,0.00004679261,0.0000028523668,0.0025467866],"genre_scores_gemma":[0.98446673,0.01488543,0.0004965757,0.000032744712,0.000047108373,9.714802e-7,0.000007575997,0.000005077668,0.000057806155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99905545,0.000019907848,0.0007461245,0.000052328756,0.00003123901,0.00009495955],"domain_scores_gemma":[0.9991134,0.00008651237,0.0005779601,0.00011545714,0.000049768085,0.000056923476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011190271,0.00008173028,0.00036717582,0.00054562435,0.00003417027,0.000046645317,0.00014831287,0.000034715446,0.00001521708],"category_scores_gemma":[0.000054852662,0.00005947162,0.000049640927,0.00016831968,0.00014723286,0.00082482374,0.000038379192,0.00009258245,0.000025177325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000211706,0.000036762616,0.30879325,0.000012029739,0.00020280472,0.0000011116255,0.0027428926,0.0026558256,0.000003284286,0.6833824,0.0012037363,0.0007541849],"study_design_scores_gemma":[0.0059268773,0.002743333,0.587355,0.00024469694,0.00031039503,0.00021687872,0.029784212,0.02335107,0.0007068518,0.3249165,0.023386091,0.0010580744],"about_ca_topic_score_codex":0.0018170917,"about_ca_topic_score_gemma":0.0010373957,"teacher_disagreement_score":0.35846588,"about_ca_system_score_codex":0.0001385272,"about_ca_system_score_gemma":0.000041187057,"threshold_uncertainty_score":0.2746911},"labels":[],"label_agreement":null},{"id":"W2221796392","doi":"10.1108/cfri-10-2014-0086","title":"Cross-border M&amp;A and the marketing timing of economic crisis","year":2015,"lang":"en","type":"article","venue":"China Finance Review International","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Work (physics); Economics; Preference; Capital (architecture); Microeconomics","score_opus":0.04505600474597163,"score_gpt":0.3478183328376898,"score_spread":0.3027623280917182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221796392","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25654066,0.6963017,0.00029232787,0.0054656877,0.0007174784,0.00025724308,0.0000985511,0.000014422328,0.040311925],"genre_scores_gemma":[0.51516294,0.47557327,0.0012466355,0.0007215994,0.00018427942,0.000041800435,0.00004029414,0.00001819683,0.0070109633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989634,0.000024262092,0.00062065286,0.00023514543,0.00004447581,0.00011202144],"domain_scores_gemma":[0.999138,0.00006257088,0.000507309,0.00021676754,0.000043989905,0.000031369767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016174935,0.00010827014,0.00041682416,0.00007615975,0.00005608159,0.000054495846,0.0002193906,0.000031989788,0.0008234841],"category_scores_gemma":[0.00032789612,0.00008542762,0.00017273739,0.00008871567,0.0001424242,0.00020716789,0.000101147736,0.00008396468,0.00018688495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008064401,0.00005195514,0.028748056,0.00032707126,0.00024166636,0.0000012023054,0.0007024104,0.00022510838,7.878246e-7,0.94224995,0.018292056,0.009079066],"study_design_scores_gemma":[0.0019253962,0.000016641592,0.040829275,0.00063446723,0.0000613725,0.00002460863,0.000055277313,0.012071369,0.0000116305355,0.051826913,0.8921598,0.00038323848],"about_ca_topic_score_codex":0.00025122162,"about_ca_topic_score_gemma":0.000016799622,"teacher_disagreement_score":0.89042306,"about_ca_system_score_codex":0.00006804214,"about_ca_system_score_gemma":0.000017388225,"threshold_uncertainty_score":0.90165734},"labels":[],"label_agreement":null},{"id":"W2225178334","doi":"10.2139/ssrn.2505444","title":"Technical Uncertainty in Real Options with Learning","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Actuarial science; Economics; Econometrics","score_opus":0.011025240663897257,"score_gpt":0.2141705513620034,"score_spread":0.20314531069810612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225178334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9449533,0.02294199,0.009403143,0.0017554999,0.00010744561,0.0001377965,0.0000030406286,0.00007053374,0.020627234],"genre_scores_gemma":[0.9629843,0.034348305,0.0001885578,0.000036412737,0.00011488688,0.0000053121403,0.000005723485,0.000014458284,0.002301999],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840915,0.00002988091,0.00033991926,0.00019530187,0.000040679657,0.0009850702],"domain_scores_gemma":[0.99959236,0.00002850217,0.00019066126,0.00011405896,0.000017376115,0.000057055346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015604235,0.000100773,0.00024201623,0.00028402125,0.00014163285,0.00005395941,0.00015079611,0.000065330554,0.000057623165],"category_scores_gemma":[0.0000483223,0.00008884601,0.0001005227,0.0003104926,0.00004674257,0.00013985245,0.000018969335,0.0012921313,0.00011701508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015176974,0.00003837513,0.030882994,9.797942e-7,0.000032736738,9.983277e-7,0.00004379021,0.004108975,0.000011983662,0.9643226,0.00001423358,0.0005271186],"study_design_scores_gemma":[0.0008007516,0.00047768635,0.011005356,0.000011507419,0.000016803291,0.00008895492,0.00045373265,0.01189388,0.0000026557784,0.97096336,0.0040541766,0.00023115991],"about_ca_topic_score_codex":0.00063511403,"about_ca_topic_score_gemma":0.0060152384,"teacher_disagreement_score":0.019877639,"about_ca_system_score_codex":0.0006445199,"about_ca_system_score_gemma":0.00013241972,"threshold_uncertainty_score":0.5613739},"labels":[],"label_agreement":null},{"id":"W22282666","doi":"10.15173/esr.v12i1.452","title":"Backwardation in Energy Future Markets: Metallgesellschaft Revisited","year":2003,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Normal backwardation; Futures contract; Margin (machine learning); Convenience yield; Contango; Economics; Set (abstract data type); Financial economics; Econometrics; Spot contract; Actuarial science; Computer science","score_opus":0.03451742351439951,"score_gpt":0.25391940758713605,"score_spread":0.21940198407273653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W22282666","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021538882,0.9718126,0.000104205224,0.0014427381,0.0002720755,0.00007179307,0.000011611779,0.000019594389,0.026049996],"genre_scores_gemma":[0.008567022,0.98211986,0.00033754963,0.002951784,0.000120899895,0.00007389107,0.000050868966,0.000019487332,0.0057586385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831504,0.00010554569,0.0008364626,0.00043815712,0.00005271454,0.00025209133],"domain_scores_gemma":[0.99915004,0.000047767542,0.0003321211,0.0003644086,0.000049435344,0.000056246172],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007246971,0.00022466067,0.00097515754,0.00023773561,0.000079452395,0.000020848034,0.00014315624,0.00006679591,0.001152615],"category_scores_gemma":[0.00019037665,0.00020339616,0.0002849828,0.000933683,0.00004388006,0.0001766613,0.000048472873,0.00007913163,0.0001518367],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021116443,0.00004563446,0.00042478772,0.00027904997,0.0003150474,0.000005504469,0.000038886403,0.000007755856,6.233083e-7,0.9724692,0.022562912,0.003848473],"study_design_scores_gemma":[0.00019274084,0.0000149697935,0.0003143974,0.00026847428,0.000058186586,0.0000020159796,0.00006775181,0.00007745903,0.000013733296,0.024081366,0.97465956,0.00024935507],"about_ca_topic_score_codex":0.000079127945,"about_ca_topic_score_gemma":0.00010636445,"teacher_disagreement_score":0.95209664,"about_ca_system_score_codex":0.000112214446,"about_ca_system_score_gemma":0.000008145524,"threshold_uncertainty_score":0.99976045},"labels":[],"label_agreement":null},{"id":"W2235657103","doi":"10.1016/j.reseneeco.2011.11.003","title":"A real option approach to the protection of a habitat dependent endangered species","year":2011,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Endangered species; Logging; Habitat; Extinction (optical mineralogy); Social planner; Ecology; Geography; Environmental resource management; Environmental science; Economics; Biology","score_opus":0.049058825323681526,"score_gpt":0.1751601572738708,"score_spread":0.12610133195018927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235657103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9082164,0.0013290845,0.0021019143,0.00017984638,0.00006994989,0.00010084252,0.000038737497,0.00001706409,0.08794615],"genre_scores_gemma":[0.99251044,0.0033741735,0.0006658243,0.00008764713,0.0001078576,0.000048661408,0.000016101696,0.000015364805,0.0031739105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992186,0.000012374697,0.00034772293,0.0002591167,0.000015277747,0.0001469544],"domain_scores_gemma":[0.9994854,0.000009566534,0.00019988744,0.00023214458,0.000010956481,0.00006209253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022758686,0.000105287254,0.00024127515,0.00017195825,0.00009147296,0.000035135054,0.00012815389,0.00006651887,0.00002672989],"category_scores_gemma":[0.000008794605,0.00009189654,0.000099102275,0.000100703546,0.000054941363,0.00008872225,0.00006282877,0.00005083501,0.00001849615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060555838,0.00010228974,0.005035175,0.00001350807,0.00012301636,2.8730048e-7,0.003459174,0.0008995478,0.000045897064,0.9879074,0.00019217515,0.0021609915],"study_design_scores_gemma":[0.0023602527,0.0010316852,0.15277572,0.00004452768,0.00020873894,0.000049186874,0.01188223,0.14902058,0.007029744,0.16029285,0.51338226,0.0019221999],"about_ca_topic_score_codex":0.0023882797,"about_ca_topic_score_gemma":0.0006786244,"teacher_disagreement_score":0.82761455,"about_ca_system_score_codex":0.000054791733,"about_ca_system_score_gemma":0.0000047685876,"threshold_uncertainty_score":0.37474322},"labels":[],"label_agreement":null},{"id":"W2252094743","doi":"","title":"Land tenure reforms and land conservation investments in China – what does real option value theory tell us?","year":2013,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Land tenure; Incentive; China; Transferability; Natural resource economics; Investment (military); Economics; Value (mathematics); Land management; Sustainable land management; Business; Option value; Land use; Market economy; Geography; Agriculture","score_opus":0.0116619754333884,"score_gpt":0.20421791138872813,"score_spread":0.19255593595533974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252094743","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7904288,0.20747845,0.0000039041556,0.00076800474,0.00009306547,0.00029460381,0.000032691485,0.0000035798587,0.00089688937],"genre_scores_gemma":[0.23035507,0.7684948,0.00023908164,0.00057064294,0.000026669719,0.000029689449,0.000034720342,0.000009355054,0.00024001084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988235,0.000018723835,0.0006683619,0.0003202884,0.000013606329,0.00015548436],"domain_scores_gemma":[0.99921924,0.00003075786,0.00047800964,0.00021521929,0.000017524348,0.000039228933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054403953,0.00015202313,0.00056791445,0.000120249664,0.00005208565,0.00008537202,0.00007624982,0.00008260836,0.000034939596],"category_scores_gemma":[0.00002709298,0.00011938423,0.00007323012,0.00010536307,0.00009465322,0.0008416605,0.000049701837,0.00008088555,0.000026231675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008501052,0.000046788664,0.16508538,0.0007508423,0.00003473662,6.498394e-7,0.00014433812,0.000032194846,0.000001880498,0.82900363,0.00007056892,0.0048205075],"study_design_scores_gemma":[0.0006436998,0.00006879545,0.5856149,0.0013854961,0.000026104692,0.0000047818125,0.000037872636,0.012203816,0.000016974704,0.38541386,0.014267512,0.00031614333],"about_ca_topic_score_codex":0.0014007017,"about_ca_topic_score_gemma":0.00018747707,"teacher_disagreement_score":0.5610163,"about_ca_system_score_codex":0.0000447833,"about_ca_system_score_gemma":0.000011239649,"threshold_uncertainty_score":0.48683476},"labels":[],"label_agreement":null},{"id":"W2258461446","doi":"10.2139/ssrn.724841","title":"Option Premia in Acquisitions","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Calgary","funders":"","keywords":"Business; Financial economics; Economics","score_opus":0.0109895569619327,"score_gpt":0.21028527405514577,"score_spread":0.19929571709321306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258461446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8901165,0.09464001,0.004323447,0.0035794333,0.00014674853,0.00009592657,0.00000858097,0.000024073832,0.0070652575],"genre_scores_gemma":[0.9588586,0.036555037,0.00018192612,0.00013717067,0.00028770088,0.0000042657493,0.000006759208,0.000010056618,0.0039584567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985375,0.00001027848,0.00037472683,0.00014883978,0.000029036426,0.00089962914],"domain_scores_gemma":[0.99967855,0.000008535694,0.00015424598,0.000102047474,0.0000125271545,0.00004409485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008033108,0.000080077385,0.00016365485,0.00032212908,0.000092454335,0.000050544248,0.00012650905,0.000057120276,0.00021759966],"category_scores_gemma":[0.00001569313,0.0000854339,0.00012627579,0.00023366389,0.00001847672,0.0003286753,0.000014086965,0.00062030985,0.0006644185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052806918,0.000056775167,0.0058046267,6.860682e-7,0.00004157645,6.0213745e-7,0.000107852175,0.00043414507,0.000017183072,0.99201417,0.000066025175,0.0014510615],"study_design_scores_gemma":[0.0004298657,0.000055782082,0.0050188988,0.00000463925,0.000007852647,0.00003842237,0.00023748896,0.0037119377,0.000018655915,0.9838253,0.0065225326,0.00012861354],"about_ca_topic_score_codex":0.00009483753,"about_ca_topic_score_gemma":0.0014243316,"teacher_disagreement_score":0.068742104,"about_ca_system_score_codex":0.0010682029,"about_ca_system_score_gemma":0.00011032963,"threshold_uncertainty_score":0.8539977},"labels":[],"label_agreement":null},{"id":"W2270299581","doi":"","title":"The Intuition Behind Option Valuation: A Teaching Note","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Valuation (finance); Intuition; Valuation of options; Nothing; Actuarial science; Mathematical economics; Stock (firearms); Economics; Computer science; Financial economics; Epistemology; Finance; Philosophy; Engineering","score_opus":0.025916383984975123,"score_gpt":0.22768430610588636,"score_spread":0.20176792212091124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270299581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.404273,0.36805156,0.17953005,0.020899687,0.0016954405,0.0004528046,0.000015259951,0.000102965896,0.024979224],"genre_scores_gemma":[0.9356411,0.057296313,0.00008707877,0.000096131625,0.00042380733,0.000005417979,0.000004672947,0.000011783532,0.0064337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998548,0.00003841864,0.00039003993,0.00015187841,0.00006376066,0.0008079172],"domain_scores_gemma":[0.999456,0.000036528883,0.000302464,0.00013974366,0.000023988521,0.000041262036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024087243,0.000092231654,0.00013385812,0.00013346481,0.0007825321,0.00019851091,0.00017087339,0.000054093216,0.00010558007],"category_scores_gemma":[0.00008045192,0.00007495001,0.00016674054,0.00009174973,0.000032861506,0.00031513895,0.000017767488,0.0010116686,0.00055878353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003640452,0.000029150518,0.00041885738,5.761487e-7,0.000073718285,3.2904947e-7,0.00034969748,0.00007774601,0.000009057486,0.9851162,0.00017041183,0.013750648],"study_design_scores_gemma":[0.00026414584,0.000096486,0.0004062547,0.0000034933703,0.000019795156,0.000042594434,0.0002672949,0.028962014,0.0000056515455,0.95811164,0.011714202,0.000106396445],"about_ca_topic_score_codex":0.000065886474,"about_ca_topic_score_gemma":0.00027949276,"teacher_disagreement_score":0.5313681,"about_ca_system_score_codex":0.00070468365,"about_ca_system_score_gemma":0.00004179564,"threshold_uncertainty_score":0.71822184},"labels":[],"label_agreement":null},{"id":"W2278457050","doi":"10.1007/s40995-017-0206-0","title":"Multi-period Multi-criteria (MPMC) Valuation of American Options Based on Entropy Optimization Principles","year":2017,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions A Science","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Monte Carlo method; Valuation (finance); Valuation of options; Entropy (arrow of time); Principle of maximum entropy; Mathematical optimization; Computer science; Monte Carlo methods for option pricing; Popularity; Probability distribution; Mathematics; Econometrics; Statistics; Economics; Finance","score_opus":0.05914903793499939,"score_gpt":0.28734932122815393,"score_spread":0.22820028329315453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278457050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.629469,0.00040767284,0.36564836,0.003790793,0.00035197425,0.00015127493,0.000030594216,0.000019312343,0.00013105656],"genre_scores_gemma":[0.90661204,0.00043934138,0.09286843,0.000027981925,0.000008891463,0.0000036906686,2.3591305e-7,0.0000043749906,0.00003503918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998738,0.000008690197,0.0005173467,0.0003140876,0.00019079797,0.00023106867],"domain_scores_gemma":[0.9980753,0.000013728682,0.0009585072,0.00038651054,0.00045753663,0.0001084317],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0016701544,0.000102724705,0.00028990043,0.0021641816,0.0014401096,0.000228298,0.00080576295,0.000047240766,0.000040654035],"category_scores_gemma":[0.0003946439,0.00009440838,0.00007362839,0.0016752637,0.007847155,0.0011982585,0.00002020189,0.00015853069,0.0000043950854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019478357,0.0039556306,0.10984903,0.00007605433,0.00019638802,0.000040828505,0.00558072,0.20607342,0.28898138,0.3417646,0.000012045267,0.043275107],"study_design_scores_gemma":[0.000979725,0.00047229434,0.05439431,0.000046115067,0.000033631375,0.000027733071,0.00085739227,0.93655705,0.0052360576,0.0011193935,0.000104183906,0.00017211025],"about_ca_topic_score_codex":0.000043045493,"about_ca_topic_score_gemma":0.000026666548,"teacher_disagreement_score":0.73048365,"about_ca_system_score_codex":0.00011220446,"about_ca_system_score_gemma":0.00023453485,"threshold_uncertainty_score":0.99985987},"labels":[],"label_agreement":null},{"id":"W2330844409","doi":"10.1021/es302549d","title":"Predicting Project Environmental Performance under Market Uncertainties: Case Study of Oil Sands Coke","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Carbon Management Canada","keywords":"Greenhouse gas; Natural gas; Life-cycle assessment; Net present value; Flexibility (engineering); Petroleum coke; Environmental economics; Present value; Investment (military); Carbon price; Production (economics); Environmental science; Natural resource economics; Coke; Economics; Waste management; Engineering; Finance; Microeconomics","score_opus":0.013806365168012695,"score_gpt":0.20244052758781245,"score_spread":0.18863416241979974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330844409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963852,0.0010499095,0.000008367001,0.00007988463,0.00010952179,0.0003068704,0.00003292052,0.000048892296,0.0019784456],"genre_scores_gemma":[0.99741924,0.00084407744,0.0001424265,0.000037289537,0.000018081644,0.00010609453,0.000004389744,0.000016142962,0.0014122818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814,0.000012484974,0.00058866636,0.00065172906,0.00014327148,0.00046389698],"domain_scores_gemma":[0.9990497,0.000019428375,0.0003520736,0.00050270685,0.0000031986513,0.00007288347],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039973526,0.00020924791,0.00035358936,0.00090765435,0.00041580378,0.00004649688,0.00049140066,0.00011719584,0.0014359413],"category_scores_gemma":[0.000013946025,0.00020451173,0.00007383187,0.0007839429,0.0015860534,0.00057477225,0.00040583574,0.00019936354,0.00020962721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057054276,0.00075803226,0.99114215,0.000007757235,0.000055101056,0.000028353543,0.0015264071,0.00017265264,0.0028298728,0.0008181229,0.000059337613,0.0025964852],"study_design_scores_gemma":[0.0043124594,0.0046034246,0.5619085,0.000045596673,0.00014808463,0.0012192569,0.30529433,0.10196267,0.010713982,0.0051828832,0.0025528807,0.002055923],"about_ca_topic_score_codex":0.0012173208,"about_ca_topic_score_gemma":0.000036543403,"teacher_disagreement_score":0.42923367,"about_ca_system_score_codex":0.00037443868,"about_ca_system_score_gemma":0.000014715535,"threshold_uncertainty_score":0.9994769},"labels":[],"label_agreement":null},{"id":"W2332934972","doi":"10.1139/x11-157","title":"Modeling of timber harvesting options using timber prices as a mean reverting process with stochastic trend","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mean reversion; Stochastic modelling; Investment (military); Kalman filter; Economics; Econometrics; Process (computing); Stochastic process; State-space representation; State space; Computer science; Mathematics; Statistics; Finance","score_opus":0.19291143164222332,"score_gpt":0.3159520865285742,"score_spread":0.12304065488635088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332934972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98899585,0.0031722721,0.0022233743,0.00005011567,0.00004155402,0.00009770563,0.000016368975,0.0000024923042,0.0054002935],"genre_scores_gemma":[0.9962495,0.00004243297,0.0032040358,0.000009704427,0.00007854688,0.0000027624924,0.0000021304443,0.000023245668,0.00038761663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851966,0.000032675158,0.00066691556,0.00018577563,0.00013777132,0.00045719947],"domain_scores_gemma":[0.9985698,0.000056307465,0.00037713978,0.00016823516,0.00037342854,0.00045508897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016624389,0.00011096803,0.00033608847,0.001327614,0.00027706954,0.000090195004,0.00029259606,0.00006371941,0.00025031844],"category_scores_gemma":[0.00033739585,0.0000996027,0.000112218106,0.00077570416,0.00018833508,0.00046698796,0.000018798099,0.00036267441,0.000020202326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011566945,0.00010849303,0.22052966,0.00014011643,0.00046142098,0.00017344716,0.015316016,0.6606372,0.000016522416,0.102280855,0.00006965655,0.00015096345],"study_design_scores_gemma":[0.00090194255,0.00062938675,0.013456643,0.0007735884,0.000112066366,0.00025418258,0.0042746575,0.9106708,0.0000590347,0.068311915,0.00008839492,0.00046738092],"about_ca_topic_score_codex":0.07159712,"about_ca_topic_score_gemma":0.17323771,"teacher_disagreement_score":0.25003362,"about_ca_system_score_codex":0.0001873229,"about_ca_system_score_gemma":0.000584749,"threshold_uncertainty_score":0.9345852},"labels":[],"label_agreement":null},{"id":"W2338282107","doi":"","title":"Adaptive Neuro-Fuzzy Optimization of the Net Present Value and Internal Rate of Return of a Wind Farm Project under Wake Effect","year":2015,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wake; Internal rate of return; Net present value; Value (mathematics); Fuzzy logic; Economics; Computer science; Engineering; Mathematics; Microeconomics; Statistics; Production (economics); Aerospace engineering; Artificial intelligence","score_opus":0.03176466998170439,"score_gpt":0.23355420899361506,"score_spread":0.20178953901191068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338282107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569886,0.0037003153,0.0030711284,0.0027541332,0.0007447227,0.0009486304,0.00017749514,0.000041800926,0.031573184],"genre_scores_gemma":[0.99852455,0.00026246058,0.0008485953,0.000041897456,0.00009179835,0.000021464015,0.000025811276,0.000018890853,0.00016451227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983095,0.00020078612,0.0007566221,0.00036102528,0.0001601301,0.00021194587],"domain_scores_gemma":[0.9983153,0.0001400961,0.00087601895,0.00034447652,0.0002099784,0.00011417166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069873605,0.00020543225,0.0005106228,0.00033301432,0.00009435605,0.00004209409,0.00030993376,0.00016875728,0.000008397174],"category_scores_gemma":[0.0003486112,0.00016383972,0.00021000812,0.00052110176,0.00005506399,0.00019392146,0.00019543238,0.00020593317,6.579594e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019654745,0.00022374817,0.006478575,0.000069474605,0.00025859658,0.0000037037264,0.0012979636,0.01030752,0.00040899642,0.98047364,0.00019308565,0.00008812448],"study_design_scores_gemma":[0.01709817,0.0031856617,0.14342327,0.0011537917,0.0012575601,0.0006590163,0.0037131833,0.49134585,0.031225605,0.05558814,0.24862799,0.0027217472],"about_ca_topic_score_codex":0.00004355034,"about_ca_topic_score_gemma":0.000067832465,"teacher_disagreement_score":0.9248855,"about_ca_system_score_codex":0.00014014781,"about_ca_system_score_gemma":0.00013687271,"threshold_uncertainty_score":0.668119},"labels":[],"label_agreement":null},{"id":"W2357003772","doi":"","title":"Research on the Valuation of Real Options Approach in Forestry Companies","year":2012,"lang":"en","type":"article","venue":"Yunnan Caijing Daxue xuebao","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Valuation (finance); Forestry; Shareholder; Business; Shareholder value; Actuarial science; Finance","score_opus":0.27944126590681745,"score_gpt":0.3378101421387842,"score_spread":0.05836887623196674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357003772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.955886,0.004100815,0.00009050743,0.00042097736,0.00012432612,0.00020087085,0.00002789291,0.000012231551,0.039136402],"genre_scores_gemma":[0.9975078,0.0009904727,0.00032497992,0.00003475971,0.00012510191,0.000044621916,0.000033962962,0.000013129148,0.00092517113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99886584,0.00008376903,0.00041281624,0.00019762943,0.00010463626,0.0003352954],"domain_scores_gemma":[0.99921346,0.00019244853,0.00015538919,0.00035547264,0.000031355237,0.000051872685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026253422,0.00009215997,0.0002368322,0.00047247336,0.00017069992,0.00004955788,0.00021443068,0.00007764977,0.000084596984],"category_scores_gemma":[0.00008377661,0.000075949036,0.000101538695,0.00069140573,0.00013724974,0.0002229176,0.00006130559,0.00025701584,0.00016717215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071108952,0.00016899646,0.06381092,0.000012212319,0.000024373008,1.8426107e-7,0.0017143649,0.0010619963,0.000020591237,0.9325242,0.0006110065,0.000044048196],"study_design_scores_gemma":[0.00081513746,0.00017631912,0.69788396,0.00009097258,0.00003200013,0.0000030049077,0.008535415,0.076323144,0.000456684,0.21044008,0.0047524995,0.0004907753],"about_ca_topic_score_codex":0.0014103408,"about_ca_topic_score_gemma":0.00007815139,"teacher_disagreement_score":0.7220841,"about_ca_system_score_codex":0.00012493247,"about_ca_system_score_gemma":0.000016794718,"threshold_uncertainty_score":0.30971116},"labels":[],"label_agreement":null},{"id":"W2411818209","doi":"10.2139/ssrn.2374485","title":"Seeking Q: The Marginal Efficiency of Liquidity and Its Effect on Investment Financing and Valuation","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Valuation (finance); Market liquidity; Economics; Pre-money valuation; Finance; Investment (military); Business","score_opus":0.014641627950390458,"score_gpt":0.2146336395828642,"score_spread":0.19999201163247374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2411818209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96630794,0.030590717,0.0021145374,0.00040070186,0.00007665567,0.00010110159,0.0000016179573,0.0000045516626,0.00040214925],"genre_scores_gemma":[0.9901247,0.009441497,0.000015662561,0.00011423148,0.00007800857,0.0000035460996,0.0000011965701,0.00000777973,0.00021337238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988967,0.00006519922,0.00029804354,0.0001732472,0.00005968728,0.00050711684],"domain_scores_gemma":[0.9994092,0.00013709062,0.00029830524,0.00009913474,0.000018186838,0.000038058857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035017533,0.000105202984,0.00022744424,0.0001446293,0.00022141557,0.000042943353,0.000092839684,0.000041253854,0.0000074643863],"category_scores_gemma":[0.00017939389,0.00007687883,0.0000734881,0.00012454347,0.000044708613,0.0001010516,0.000028664701,0.00040972698,0.000010470239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021049365,0.00002325697,0.0028274404,0.000010714826,0.000057439618,1.5418074e-7,0.00019656116,0.00033039146,0.00014340233,0.9940529,0.0000054969264,0.0023312238],"study_design_scores_gemma":[0.00096842414,0.0022264568,0.009039724,0.000041431453,0.00007342153,0.000037024445,0.00014114562,0.13533849,0.00088867865,0.8505677,0.00047182685,0.00020567291],"about_ca_topic_score_codex":0.00004223296,"about_ca_topic_score_gemma":0.000036468617,"teacher_disagreement_score":0.14348516,"about_ca_system_score_codex":0.00016498944,"about_ca_system_score_gemma":0.000055269687,"threshold_uncertainty_score":0.31350276},"labels":[],"label_agreement":null},{"id":"W2461421406","doi":"","title":"Option Games The Key to Competing in Capital-Intensive Industries","year":2009,"lang":"en","type":"article","venue":"Research Portal (King's College London)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Discounted cash flow; Valuation (finance); Flexibility (engineering); Cash flow; Capital budgeting; Key (lock); Value (mathematics); Microeconomics; Capital (architecture); Business; Economics; Industrial organization; Finance; Computer science; Management","score_opus":0.0647734185438456,"score_gpt":0.30191380685392205,"score_spread":0.23714038831007644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461421406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95817304,0.005540315,0.00002240667,0.011147914,0.00015722198,0.0007038023,0.00009935046,0.000036873156,0.024119103],"genre_scores_gemma":[0.99242437,0.0010572026,0.000103101855,0.00085118046,0.00019027377,0.000055686618,0.00003382909,0.000020876458,0.005263484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976107,0.00009111519,0.00072710396,0.00055570627,0.00024484625,0.00077053],"domain_scores_gemma":[0.9986578,0.0002245107,0.00018532865,0.0004467316,0.0002946168,0.00019097273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020099832,0.00020381386,0.00048390048,0.0010343267,0.00037566075,0.0002291225,0.00046151114,0.00014767515,0.00031212525],"category_scores_gemma":[0.0009968997,0.00017973133,0.00015889092,0.0021624141,0.00018813912,0.00032923796,0.00016020867,0.0006926135,0.00066549884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006562067,0.00013411009,0.02460577,0.000010609488,0.00006398174,0.00018033251,0.0031913642,0.0002770412,0.00010134345,0.96240675,0.008160344,0.00080272625],"study_design_scores_gemma":[0.0034018029,0.0017427718,0.3973582,0.00044599373,0.000039901082,0.00007972448,0.057826515,0.0140895685,0.0022726923,0.37326786,0.14753231,0.0019426391],"about_ca_topic_score_codex":0.0017685479,"about_ca_topic_score_gemma":0.0014254976,"teacher_disagreement_score":0.5891389,"about_ca_system_score_codex":0.00018363132,"about_ca_system_score_gemma":0.00008148512,"threshold_uncertainty_score":0.8553863},"labels":[],"label_agreement":null},{"id":"W2469717571","doi":"10.5539/ijef.v8n7p275","title":"Adjusting Time for Uncertain Project Assessment","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cash flow; Debt; Net present value; Payment; Present value; Investment (military); Econometrics; Value (mathematics); Value at risk; Maturity (psychological); Actuarial science; Economics; Computer science; Credit risk; Risk management; Finance; Mathematics; Statistics; Microeconomics; Production (economics)","score_opus":0.03717126855764967,"score_gpt":0.27236686260316917,"score_spread":0.23519559404551948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469717571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820745,0.00469057,0.003136068,0.0059014526,0.0010626629,0.00015621306,0.00035279366,0.000004911425,0.002620841],"genre_scores_gemma":[0.9570377,0.029462358,0.009712278,0.00026476965,0.00057455123,0.000011323201,0.0000067184924,0.000017620563,0.0029127083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990799,0.0000042088986,0.0006157733,0.00016144416,0.000019340961,0.00011936483],"domain_scores_gemma":[0.99892706,0.000096496915,0.0007716019,0.00007396693,0.00010626159,0.000024640236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043682358,0.00008867209,0.00026868345,0.00021531322,0.000039936087,0.00006847578,0.00021593488,0.000041712374,0.000041106156],"category_scores_gemma":[0.0000639068,0.00007126202,0.0001616044,0.00003291001,0.00004341155,0.00032363387,0.000037679318,0.000045492026,0.000018464456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006466484,0.000052301886,0.0023508414,0.0000036869412,0.00022539546,0.000004304402,0.00007877788,0.00033721275,0.000049290666,0.9822072,0.0014933001,0.01313306],"study_design_scores_gemma":[0.0034346608,0.000497159,0.005608926,0.0001182311,0.0000362948,0.000076500844,0.000064114276,0.07168582,0.0002584973,0.48191622,0.43585125,0.0004523269],"about_ca_topic_score_codex":0.000020284804,"about_ca_topic_score_gemma":0.000006647242,"teacher_disagreement_score":0.50029093,"about_ca_system_score_codex":0.00013251598,"about_ca_system_score_gemma":0.00004562234,"threshold_uncertainty_score":0.29059806},"labels":[],"label_agreement":null},{"id":"W2481575576","doi":"10.35188/unu-wider/2016/073-7","title":"The effects of climate risk on hydropower P3 contract value: Preliminary study of the Inga 3 Dam","year":2016,"lang":"en","type":"book","venue":"Working Paper Series","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TransAlta (Canada)","funders":"United Nations University World Institute for Development Economics Research","keywords":"Hydropower; Inga; Climate change; Value (mathematics); Investment (military); Renewable energy; Natural resource economics; Business; Environmental resource management; Environmental science; Economics; Engineering; Computer science; Political science; Ecology","score_opus":0.008724923806142504,"score_gpt":0.19764605180319691,"score_spread":0.1889211279970544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481575576","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41211176,0.10956168,0.0000025306792,0.0004640419,0.0056904336,0.002657707,0.00029548816,0.000079266116,0.4691371],"genre_scores_gemma":[0.820549,0.03317504,0.00000774113,0.00008739556,0.00022188146,0.000051324667,0.000008275606,0.00007007243,0.14582925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981895,0.000090660295,0.0008702844,0.0004223466,0.00012809827,0.0002991148],"domain_scores_gemma":[0.9964058,0.00080133876,0.0017345904,0.0009924027,0.000029617378,0.000036250447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005719846,0.00033614025,0.0008196724,0.00014009688,0.00040830186,0.00006236487,0.00057076494,0.00020707598,0.0000614608],"category_scores_gemma":[0.0001666987,0.00019130527,0.0004534911,0.00013869461,0.00032298753,0.00010206541,0.00025239005,0.0003746061,0.000059164155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012988083,0.0012469442,0.0920175,0.0005795574,0.004624099,0.00002356166,0.010615532,0.00014599835,0.000037914775,0.8691532,0.009172263,0.011084633],"study_design_scores_gemma":[0.0031666008,0.006186885,0.1317024,0.0033055712,0.0015791074,0.0000045542324,0.00088111643,0.000104966384,0.00033641598,0.13623986,0.7148734,0.001619145],"about_ca_topic_score_codex":0.00009487866,"about_ca_topic_score_gemma":0.00014701879,"teacher_disagreement_score":0.7329133,"about_ca_system_score_codex":0.00009867715,"about_ca_system_score_gemma":0.000033418582,"threshold_uncertainty_score":0.78012025},"labels":[],"label_agreement":null},{"id":"W2482181448","doi":"10.2139/ssrn.2808765","title":"Variance Risk Premium and Investment Uncertainty","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Variance risk premium; Risk premium; Variance (accounting); Investment (military); Econometrics; Economics; Financial economics; Volatility risk premium; Actuarial science; Business; Volatility (finance); Implied volatility; Accounting","score_opus":0.00955437658308395,"score_gpt":0.19454201478905953,"score_spread":0.18498763820597558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482181448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8180589,0.16094571,0.010431557,0.0039569316,0.00042739997,0.00019501173,0.000068593356,0.000047949583,0.0058679413],"genre_scores_gemma":[0.8417445,0.15017617,0.00011924622,0.00022105609,0.00020177753,0.00000608064,0.0000015650725,0.000016290745,0.0075133145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806386,0.000028906787,0.00040683663,0.00028691147,0.000045940436,0.001167553],"domain_scores_gemma":[0.99925137,0.000042811356,0.00037775782,0.00018715713,0.000023907442,0.00011697447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013651446,0.00014431878,0.00026257412,0.00016026602,0.00019553523,0.00006389593,0.00016710947,0.00006863941,0.00013610543],"category_scores_gemma":[0.000090521564,0.000103576334,0.0001309703,0.00013905628,0.00008288564,0.00026121445,0.00004084513,0.0004707867,0.00021176192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014176843,0.000030096524,0.02079513,0.0000015618358,0.00021352815,9.915681e-7,0.00007902598,0.000011003761,0.00003225749,0.97625023,0.00020611586,0.0023658855],"study_design_scores_gemma":[0.00070646073,0.00014851837,0.0039862986,0.000009764767,0.000029026764,0.00004301276,0.00011577706,0.0003222873,0.000021045964,0.98224163,0.012192335,0.00018383139],"about_ca_topic_score_codex":0.00028735955,"about_ca_topic_score_gemma":0.0004253255,"teacher_disagreement_score":0.023685597,"about_ca_system_score_codex":0.0006741937,"about_ca_system_score_gemma":0.00016301835,"threshold_uncertainty_score":0.42237204},"labels":[],"label_agreement":null},{"id":"W2505321506","doi":"10.1090/fic/032","title":"Valuation Theory and Its Applications, Volume I","year":2002,"lang":"en","type":"book","venue":"American Mathematical Society eBooks","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Valuation (finance); Economics; Mathematical economics; Computer science; Accounting","score_opus":0.02586330474305347,"score_gpt":0.22627067517325994,"score_spread":0.20040737043020646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505321506","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027209197,0.019511014,0.015430321,0.0002873214,0.00004093217,0.0009102243,0.00019047926,0.00013181272,0.9632258],"genre_scores_gemma":[0.0018337298,0.0028097031,0.0021536064,0.0007414386,0.00022321839,0.00022560376,0.00006756357,0.00007474372,0.9918704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983908,0.000025694144,0.00068161817,0.00053656864,0.00009757139,0.00026775798],"domain_scores_gemma":[0.9985035,0.00025079786,0.00068803417,0.00037606087,0.00003915839,0.0001424593],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006723379,0.00030489816,0.0008275431,0.00007973056,0.00016460232,0.00008925309,0.00020921133,0.00020286649,0.0010585529],"category_scores_gemma":[0.00005523694,0.00031472548,0.00051732286,0.000073416435,0.00046322352,0.00005124921,0.00009949178,0.00029074584,0.0029424801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014368225,0.00003363289,0.0000076273523,0.00010793152,0.0002626601,3.3915472e-7,0.0007253288,4.6449676e-7,0.000001199611,0.9832573,0.012756758,0.0028453423],"study_design_scores_gemma":[0.00010306971,0.00003876492,0.000011141309,0.000024446828,0.00012517837,0.0000021883318,0.00012449667,0.0057826047,0.0000020945834,0.85004824,0.14339435,0.00034341903],"about_ca_topic_score_codex":0.000006409061,"about_ca_topic_score_gemma":5.507975e-7,"teacher_disagreement_score":0.13320903,"about_ca_system_score_codex":0.00018286,"about_ca_system_score_gemma":0.000026582578,"threshold_uncertainty_score":0.9999305},"labels":[],"label_agreement":null},{"id":"W2506736789","doi":"10.4018/978-1-59140-363-0.ch003","title":"Risk and Investment in the Global Telecommunications Industry","year":2005,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Globe; Equity (law); Investment (military); Business; Equity risk; Finance; Telecommunications; Economics; Industrial organization; Private equity; Actuarial science; Computer science","score_opus":0.030304690634516452,"score_gpt":0.2366059033585682,"score_spread":0.20630121272405175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506736789","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005673619,0.028606698,0.000005440529,0.000568507,0.000086142914,0.00030148143,0.0009723706,0.000025949206,0.9637598],"genre_scores_gemma":[0.86407775,0.008466541,0.0013561117,0.009541527,0.00068919145,0.0001340902,0.00009418538,0.00008020486,0.1155604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99852103,0.00002250836,0.00067716266,0.00044023668,0.00007119101,0.00026786467],"domain_scores_gemma":[0.99857134,0.00003543153,0.00047372223,0.0007952149,0.000018412122,0.000105871295],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003237994,0.0003238086,0.0005021666,0.00010912609,0.0001591595,0.00014592591,0.0005313319,0.00060882105,0.000111228655],"category_scores_gemma":[0.000023560071,0.0002933704,0.0002161477,0.00006443261,0.00020120687,0.00006172777,0.00018928919,0.0006920076,0.00035038134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034776256,0.000024334007,0.0066343965,0.0000043622913,0.000111935326,0.0000052030496,0.000112105816,0.000009124842,1.5036324e-8,0.990727,0.0015525596,0.0008154505],"study_design_scores_gemma":[0.00024083459,0.000029045264,0.0048329807,0.000022548356,0.00006250967,0.000009131123,0.000043223918,0.00008846702,1.5061558e-7,0.8166896,0.17770253,0.00027896726],"about_ca_topic_score_codex":0.001364843,"about_ca_topic_score_gemma":0.0029847438,"teacher_disagreement_score":0.8584041,"about_ca_system_score_codex":0.0004710414,"about_ca_system_score_gemma":0.00004553847,"threshold_uncertainty_score":0.99995184},"labels":[],"label_agreement":null},{"id":"W2525200836","doi":"10.11159/mmme16.142","title":"An Integrated Valuation Tool for Uncertainties in Mining","year":2016,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Valuation (finance); Data mining; Data science; Business; Accounting","score_opus":0.01695534752299588,"score_gpt":0.2138419400818572,"score_spread":0.19688659255886132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525200836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989782,0.000031275762,0.000017454926,0.0002784476,0.00040100736,0.00018138642,0.000044512257,0.000027878445,0.00003981186],"genre_scores_gemma":[0.9979449,0.000106636435,0.0014827028,0.000031752515,0.00008319438,0.00006098089,0.000003761698,0.000018044577,0.0002680326],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991609,0.000001526996,0.00038513716,0.00024620965,0.00003862293,0.00016760165],"domain_scores_gemma":[0.99962145,0.000048934817,0.00016658092,0.00008243806,0.00004406173,0.00003653658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029433324,0.0001278259,0.00028697963,0.00016361682,0.000030170375,0.00006813621,0.00018389292,0.00006118233,0.000030976018],"category_scores_gemma":[0.0001769329,0.00008832525,0.000068621724,0.0001611224,0.000034707344,0.00018305988,0.00004474906,0.00004458533,0.0000011743209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000849514,0.00003731027,0.00022095592,0.000068354835,0.000027112164,5.2111695e-8,0.000017286939,0.000031729945,0.66573703,0.33328378,0.00013689612,0.00035453576],"study_design_scores_gemma":[0.0006342918,0.000063396576,0.000069619186,0.00022663693,0.000017087525,4.0214454e-7,0.00004822732,0.013573297,0.96635944,0.017371502,0.0014354761,0.00020063283],"about_ca_topic_score_codex":0.000014997065,"about_ca_topic_score_gemma":0.000003338558,"teacher_disagreement_score":0.31591228,"about_ca_system_score_codex":0.00005083914,"about_ca_system_score_gemma":0.000004186368,"threshold_uncertainty_score":0.3601799},"labels":[],"label_agreement":null},{"id":"W2530453081","doi":"10.1002/smj.2599","title":"Caught in the crossfire: Dimensions of vulnerability and foreign multinationals' exit from war‐afflicted countries","year":2016,"lang":"en","type":"article","venue":"Strategic Management Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Multinational corporation; Vulnerability (computing); Business; Subsidiary; Harm; Afghan; Portfolio; Political science; Finance; Law; Computer security","score_opus":0.03856077517757007,"score_gpt":0.24519345167241618,"score_spread":0.20663267649484612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530453081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96822953,0.00739535,0.00007888324,0.0031395613,0.00009184721,0.00017709876,0.00015224931,0.0000064039373,0.020729074],"genre_scores_gemma":[0.9784387,0.020477911,0.0002257682,0.00010769341,0.000048192673,0.00000976027,0.00001027513,0.0000055039504,0.0006762268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989381,0.000041126394,0.0005604213,0.00020465307,0.00008616481,0.00016957015],"domain_scores_gemma":[0.9992908,0.00012557437,0.00031791907,0.00019288165,0.000032119762,0.00004068075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007952422,0.00010878942,0.00022921096,0.0002716913,0.0001567641,0.00008156664,0.00018384546,0.000041161347,0.0007045561],"category_scores_gemma":[0.000017176015,0.00006010512,0.000075243515,0.0002172633,0.00015114,0.00017152178,0.000044478493,0.00009931953,0.000024349329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015948237,0.00008668196,0.01683252,0.000010167143,0.0001143666,0.000011950857,0.0003177313,0.00000593128,0.00002463962,0.9820391,0.00047452925,0.00006643016],"study_design_scores_gemma":[0.0008331494,0.000022560424,0.03712218,0.000027018572,0.000020744219,0.0000032619323,0.0016147555,0.00030453893,0.000044286277,0.9578645,0.0020348984,0.00010805732],"about_ca_topic_score_codex":0.00019721947,"about_ca_topic_score_gemma":0.00016433648,"teacher_disagreement_score":0.024174554,"about_ca_system_score_codex":0.000036989357,"about_ca_system_score_gemma":0.0000074015384,"threshold_uncertainty_score":0.77143955},"labels":[],"label_agreement":null},{"id":"W2531470941","doi":"10.1007/s10479-016-2344-8","title":"Using managerial revenue and cost estimates to value early stage real option investments","year":2016,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cash flow; Margin (machine learning); Revenue; Econometrics; Economics; Index (typography); Gross margin; Terminal value; Value (mathematics); Cash flow forecasting; Computer science; Microeconomics; Finance; Production (economics)","score_opus":0.40448125066685753,"score_gpt":0.4477826350915301,"score_spread":0.04330138442467257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531470941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532425,0.0006225688,0.000747558,0.0015877241,0.000049429986,0.0003145035,0.0003997344,0.000005697164,0.0009485372],"genre_scores_gemma":[0.98599106,0.0045438563,0.0031950523,0.00008306929,0.0000755847,0.00003813095,0.000014737987,0.000014184003,0.006044337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99905217,0.000053736276,0.0003217949,0.00025310827,0.000085211606,0.00023398543],"domain_scores_gemma":[0.9994146,0.000064371765,0.00004073897,0.00022574462,0.00013873432,0.000115773284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011489786,0.000073133095,0.00018786876,0.00048775924,0.00021285318,0.0001311344,0.00012207744,0.0000489369,0.00011705625],"category_scores_gemma":[0.0002888294,0.00006340002,0.000044885084,0.00035120946,0.00012316693,0.00037706376,0.000103174614,0.00005782407,0.00016281911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004707121,0.00009316375,0.010524562,0.000018523797,0.00009254409,0.0000035625374,0.0007133664,0.0012602749,0.0074674613,0.97754574,0.0013780021,0.00085572],"study_design_scores_gemma":[0.003973316,0.0019886307,0.4625168,0.0005932465,0.000063837986,0.0000069787325,0.000983829,0.14700058,0.06155897,0.27861995,0.040909264,0.0017845843],"about_ca_topic_score_codex":0.006630741,"about_ca_topic_score_gemma":0.00025621193,"teacher_disagreement_score":0.6989258,"about_ca_system_score_codex":0.00003790855,"about_ca_system_score_gemma":0.000024215698,"threshold_uncertainty_score":0.9999842},"labels":[],"label_agreement":null},{"id":"W2537938613","doi":"","title":"The Development of the Complimentary Energy Decision Support Tool (CEDST) Platform, Solar Photovoltaic Calculator and Integration of other renewable and alternative energy calculators into CEDST","year":2012,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Calculator; Photovoltaic system; Renewable energy; Solar energy; Energy (signal processing); Engineering; Systems engineering; Computer science; Environmental economics; Electrical engineering; Mathematics; Operating system; Economics","score_opus":0.017812107878777832,"score_gpt":0.2067987742356016,"score_spread":0.1889866663568238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537938613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99338293,0.004585468,0.0011831458,0.00003792519,0.00020510929,0.0001371914,0.000063369705,0.000004003082,0.00040084816],"genre_scores_gemma":[0.99503267,0.0017072175,0.00052457507,0.000023445444,0.000023604913,0.0000011041385,0.00013652374,0.000015878204,0.0025349704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990387,0.000025198642,0.00044184324,0.0002262923,0.00011904695,0.00014894443],"domain_scores_gemma":[0.99855214,0.00009221552,0.0009138006,0.0003164235,0.00008055834,0.000044872893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038155142,0.00018343674,0.0004071665,0.00018943752,0.00040705464,0.000017204722,0.00036035382,0.00012098849,0.00007121608],"category_scores_gemma":[0.00001243977,0.00013091997,0.00017530246,0.00021528987,0.0002096126,0.00015975056,0.0001626408,0.00009164028,0.0000020589546],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003943049,0.00097492745,0.043250725,0.00066051167,0.0083801355,0.0000045363863,0.10313663,0.0008159946,0.29066914,0.5027298,0.00540628,0.040028304],"study_design_scores_gemma":[0.0041583604,0.00066087925,0.63867474,0.000544895,0.0015773228,0.00000795306,0.04818244,0.020886922,0.13955744,0.090786934,0.053165823,0.00179627],"about_ca_topic_score_codex":0.025702793,"about_ca_topic_score_gemma":0.0194251,"teacher_disagreement_score":0.59542406,"about_ca_system_score_codex":0.0000921745,"about_ca_system_score_gemma":0.00005600276,"threshold_uncertainty_score":0.99846786},"labels":[],"label_agreement":null},{"id":"W2538628378","doi":"10.1109/epc.2007.4520382","title":"Wind Power in Ontario: An Economical Valuation","year":2007,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wind power; Valuation (finance); Turbine; Internal rate of return; Tariff; Wind speed; Net present value; Environmental science; Marine engineering; Environmental economics; Automotive engineering; Meteorology; Engineering; Business; Electrical engineering; Economics; Finance; Microeconomics; Mechanical engineering; Geography","score_opus":0.04841085902526016,"score_gpt":0.2383223301210522,"score_spread":0.18991147109579204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538628378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9189614,0.00039136628,0.00028200797,0.000106869564,0.00013922813,0.00006736936,0.0000023183666,0.000012814305,0.080036625],"genre_scores_gemma":[0.99327785,0.00003098002,0.0005898183,0.00029764985,0.000026367381,0.0000011895958,0.000021743856,0.0000075977355,0.0057468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99909854,0.000004139482,0.00044216387,0.00025078087,0.000016841512,0.00018753443],"domain_scores_gemma":[0.9996459,0.000016678323,0.00008694192,0.00016993876,0.000007697338,0.00007286001],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000750913,0.000077372155,0.00018866023,0.0002906602,0.000028001472,0.000041440257,0.000086292835,0.00007395412,0.0052649374],"category_scores_gemma":[0.0000103583225,0.00008404352,0.00007390684,0.00010802385,0.000021967548,0.00030953574,0.000017062184,0.000094746814,0.0009985747],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008523304,0.0000869819,0.42189914,3.7403768e-7,0.000012331674,0.0000016922403,0.00051239325,0.000066936416,0.000009550868,0.57718796,0.00009298842,0.00012111331],"study_design_scores_gemma":[0.00035335895,0.000053783966,0.8640176,9.822086e-7,0.000002911154,6.342563e-7,0.00013306271,0.0017548365,0.000059366335,0.12413807,0.009329665,0.00015571085],"about_ca_topic_score_codex":0.049573634,"about_ca_topic_score_gemma":0.4343905,"teacher_disagreement_score":0.45304993,"about_ca_system_score_codex":0.00028619388,"about_ca_system_score_gemma":0.000015579451,"threshold_uncertainty_score":0.9997793},"labels":[],"label_agreement":null},{"id":"W2542233296","doi":"","title":"The Impact of Uncertainty Shocks: Continental Europe versus the Anglo-Saxon World","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Recession; Variance decomposition of forecast errors; European union; Business cycle; Shock (circulatory); Macroeconomics; International economics; Economy; Econometrics","score_opus":0.05044087585203319,"score_gpt":0.3123490979158826,"score_spread":0.26190822206384945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542233296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7493911,0.009055028,0.0000015870086,0.0016379899,0.0011621228,0.0009591935,0.00078731263,0.000027782506,0.2369779],"genre_scores_gemma":[0.9255127,0.06405371,0.000014793246,0.000025518335,0.00036057088,0.0001232459,0.00006464818,0.00006381526,0.009781023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99664974,0.0001933884,0.0013121426,0.0008571664,0.00011814778,0.0008693847],"domain_scores_gemma":[0.99592555,0.0013777511,0.00080587965,0.0016020607,0.0001323633,0.00015639699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030177885,0.000389234,0.00085676863,0.00063748786,0.00034653695,0.0002863398,0.0015077948,0.00023178331,0.0003288635],"category_scores_gemma":[0.0006605631,0.000239415,0.00086089125,0.0004259617,0.0009344887,0.000120402896,0.001264856,0.0011638759,0.000105654486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038346332,0.0010483244,0.21686646,0.00019762524,0.006690684,0.000056206904,0.0019493691,0.041170146,0.00013223955,0.6080532,0.008699275,0.11130182],"study_design_scores_gemma":[0.011443254,0.0016188113,0.20112842,0.0007599469,0.00017168662,0.000012380233,0.0029131647,0.14013931,0.00026723192,0.23976225,0.39783105,0.003952486],"about_ca_topic_score_codex":0.0015905338,"about_ca_topic_score_gemma":0.0022971954,"teacher_disagreement_score":0.38913178,"about_ca_system_score_codex":0.0012765808,"about_ca_system_score_gemma":0.000279305,"threshold_uncertainty_score":0.9763061},"labels":[],"label_agreement":null},{"id":"W2553393874","doi":"10.5539/ijms.v8n6p16","title":"Comparative Analysis of the Traditional Models for Capital Budgeting","year":2016,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital budgeting; Metric (unit); Cash flow; Discounted cash flow; Dependency (UML); Computer science; Investment (military); Software; Capital (architecture); Economics; Actuarial science; Econometrics; Operations research; Finance; Operations management; Artificial intelligence; Mathematics","score_opus":0.1170407171601047,"score_gpt":0.30016808591287036,"score_spread":0.18312736875276567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553393874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98078346,0.010406753,0.0026865036,0.0033680545,0.0008900135,0.00006873739,0.0003507032,0.0000032860441,0.0014424649],"genre_scores_gemma":[0.99703115,0.0014499906,0.000891909,0.00006423292,0.00019151428,0.0000042442803,0.0000023718883,0.0000038396483,0.00036072938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99886686,0.00004417829,0.00076367334,0.00011191226,0.00012400026,0.00008935156],"domain_scores_gemma":[0.9969252,0.001255499,0.0012073606,0.00006967539,0.0005218696,0.000020428404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016026756,0.00008167168,0.00046095037,0.0003943075,0.00006828089,0.000019148463,0.00030245367,0.000022487704,0.000060464667],"category_scores_gemma":[0.00082010205,0.00004845128,0.00063395256,0.00019211353,0.00012523722,0.00019962448,0.000054878357,0.000047979156,0.000001658425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006251682,0.00028290952,0.093545735,0.00002598531,0.048258457,0.000003496749,0.0059582745,0.007744554,0.00056498946,0.8369174,0.0052043493,0.0008686809],"study_design_scores_gemma":[0.0027980183,0.00018436815,0.4205818,0.0004476195,0.0018300681,0.000015384237,0.005114951,0.02541785,0.00096741196,0.5391793,0.0029969078,0.00046630812],"about_ca_topic_score_codex":0.0000084968315,"about_ca_topic_score_gemma":0.000017764229,"teacher_disagreement_score":0.32703605,"about_ca_system_score_codex":0.0001115059,"about_ca_system_score_gemma":0.000014779352,"threshold_uncertainty_score":0.19757858},"labels":[],"label_agreement":null},{"id":"W2553664415","doi":"","title":"What can we learn from EU ETS experience? Recommendations for Eective Design and Ecient Trading","year":2011,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Business; Computer science; Public relations; Political science","score_opus":0.1558111398911819,"score_gpt":0.263642430963703,"score_spread":0.1078312910725211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553664415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8297543,0.026593905,0.117138706,0.0095012225,0.0021365865,0.0012915744,0.00024780785,0.000121074685,0.013214822],"genre_scores_gemma":[0.96680576,0.00909708,0.02039703,0.0004897457,0.000049261667,0.00010705366,0.000029177929,0.000014839151,0.0030100306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992597,0.0000097915445,0.00025207747,0.0003085969,0.000014275614,0.0001555432],"domain_scores_gemma":[0.9995973,0.00007693212,0.000109920395,0.0001256289,0.000014757885,0.00007545206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014958419,0.00009336102,0.00019279699,0.00014654966,0.00015508331,0.00012499336,0.00008221216,0.00004555239,0.0013854905],"category_scores_gemma":[0.000019826259,0.00009199101,0.00009721841,0.000115927614,0.00004553175,0.00043979092,0.00002208364,0.000043529904,0.000035244942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046663696,0.00024448268,0.0056790845,0.000007489087,0.00037583415,0.0000016387243,0.1512499,0.00001664019,0.00008711736,0.8239518,0.0078074345,0.010531952],"study_design_scores_gemma":[0.0013089251,0.0003338607,0.0053077107,0.00004092204,0.00008328726,0.0000018492979,0.048272632,0.07573379,0.005725534,0.8110638,0.051296696,0.0008309773],"about_ca_topic_score_codex":0.0010062642,"about_ca_topic_score_gemma":0.00018336847,"teacher_disagreement_score":0.13705148,"about_ca_system_score_codex":0.000050922168,"about_ca_system_score_gemma":0.0000062800746,"threshold_uncertainty_score":0.9995274},"labels":[],"label_agreement":null},{"id":"W2556764378","doi":"10.5539/ijef.v8n12p202","title":"Valuation of Interacting Time-to-Build and Growth Real Options in Infrastructure Investments","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Discounted cash flow; Cash flow; Option value; Embedded option; Investment (military); Value (mathematics); Finance; Economics; Business; Computer science; Microeconomics; Incentive","score_opus":0.01828970900120892,"score_gpt":0.23304342840158768,"score_spread":0.21475371940037877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556764378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572814,0.0011079292,0.00010284366,0.002258703,0.00022939371,0.000046124063,0.000060108483,0.00000101969,0.0004657537],"genre_scores_gemma":[0.9657812,0.032014847,0.0017812712,0.00014764139,0.00008358568,0.0000018484968,0.0000023513132,0.0000069882735,0.00018028168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907297,0.000008151724,0.00066855137,0.00014442038,0.000024305335,0.00008158091],"domain_scores_gemma":[0.99907625,0.00006609114,0.0006704287,0.000060797604,0.00008977941,0.000036635935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032559282,0.00007955875,0.00025238396,0.0004244525,0.000017860522,0.00003599538,0.0001433641,0.00004302489,0.000042387674],"category_scores_gemma":[0.00011106465,0.00007015466,0.000059546892,0.000062467996,0.000045435292,0.00041537615,0.00006151394,0.000061049606,0.000013171715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009539289,0.00006879327,0.102749765,0.000005421998,0.00017574702,0.0000044864983,0.0005543924,0.0016980439,0.00028935,0.88567257,0.00032737904,0.008358657],"study_design_scores_gemma":[0.001711413,0.00017498208,0.42882463,0.00017522104,0.000015547232,0.000037443275,0.0000511449,0.014698094,0.00037313378,0.5484037,0.0053047817,0.00022990922],"about_ca_topic_score_codex":0.00007481417,"about_ca_topic_score_gemma":0.000017555036,"teacher_disagreement_score":0.33726886,"about_ca_system_score_codex":0.00010173819,"about_ca_system_score_gemma":0.000015868745,"threshold_uncertainty_score":0.2860824},"labels":[],"label_agreement":null},{"id":"W2556870513","doi":"10.1111/cjag.12121","title":"A Spatial Real Options Approach for Modeling Land Use Change: Assessing the Potential for Poplar Energy Plantations in Alberta","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Alberta","funders":"Alberta Innovates Bio Solutions; Genome British Columbia; Genome Canada","keywords":"Forestry; Land use, land-use change and forestry; Land use; Humanities; Economics; Geography; Agriculture; Welfare economics; Engineering; Philosophy; Archaeology","score_opus":0.05978334367672642,"score_gpt":0.19631722975419627,"score_spread":0.13653388607746986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556870513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863826,0.0009881571,0.004622773,0.0052781166,0.0008055329,0.00043613746,0.0013275704,0.0000041257367,0.00015498018],"genre_scores_gemma":[0.995237,0.0012281733,0.0011405669,0.0002226985,0.0010834369,0.00013498447,0.0002342545,0.000030102834,0.00068881124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978175,0.000021435482,0.0011050799,0.00038561402,0.000006990138,0.0006633604],"domain_scores_gemma":[0.99817073,0.00022164291,0.0007430303,0.00020217447,0.00010627268,0.0005561583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004251643,0.00025200096,0.00060726574,0.00051240704,0.00035454548,0.00035151915,0.00039147856,0.00015469299,0.000041298415],"category_scores_gemma":[0.00010878518,0.00017905269,0.00044707744,0.0001160227,0.00007569723,0.0012721597,0.000016473363,0.000116817195,0.0000048108864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008059087,0.000057628302,0.02161583,0.000039971976,0.0005927264,0.000010440629,0.001670724,0.06922132,0.000030541476,0.9042478,0.0011667329,0.0012656981],"study_design_scores_gemma":[0.009387267,0.0008398085,0.14203669,0.00026355078,0.00059355417,0.00064612104,0.004339169,0.6513943,0.00004523334,0.16489077,0.022683544,0.0028800024],"about_ca_topic_score_codex":0.41014275,"about_ca_topic_score_gemma":0.9287837,"teacher_disagreement_score":0.73935705,"about_ca_system_score_codex":0.0011779912,"about_ca_system_score_gemma":0.0002336092,"threshold_uncertainty_score":0.73015565},"labels":[],"label_agreement":null},{"id":"W2577202476","doi":"10.2139/ssrn.2890607","title":"Investment and Uncertainty with Time to Build: Evidence from U.S. Copper Mining","year":2016,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Investment (military); Economics; Copper mine; Investment decisions; Econometrics; Microeconomics; Financial economics; Monetary economics; Copper; Production (economics)","score_opus":0.01796346684447403,"score_gpt":0.22145933416342325,"score_spread":0.20349586731894923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577202476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7875063,0.20173995,0.0014831147,0.0061880583,0.00024396263,0.00037710462,0.00016359049,0.000039836134,0.0022580998],"genre_scores_gemma":[0.8663006,0.11248318,0.0015901471,0.001454547,0.0009952992,0.000064315216,0.00004915997,0.00010963348,0.016953109],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969017,0.000041599822,0.0006678451,0.00076401944,0.00011622468,0.0015086461],"domain_scores_gemma":[0.99848855,0.00010096595,0.0006429026,0.00044025228,0.000062524494,0.00026483365],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012718958,0.00038713583,0.0007558229,0.00040356928,0.00018166694,0.0002631707,0.0004523697,0.00020730057,0.00041127013],"category_scores_gemma":[0.00009029965,0.00030047496,0.00020361226,0.00015666969,0.00009433278,0.00022483419,0.00034552233,0.0012703325,0.00068636384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005567338,0.00021858771,0.050526757,0.00006032133,0.0060740085,0.000039396233,0.0031078618,0.0022650915,0.00025080855,0.9206704,0.009290513,0.006939559],"study_design_scores_gemma":[0.0006958446,0.00050275004,0.0019593474,0.0005860444,0.00017640712,0.000046123474,0.00028599575,0.0011590366,0.000028287126,0.9870769,0.0066707106,0.00081258075],"about_ca_topic_score_codex":0.00094485446,"about_ca_topic_score_gemma":0.0007835711,"teacher_disagreement_score":0.08925676,"about_ca_system_score_codex":0.0015739303,"about_ca_system_score_gemma":0.0007311851,"threshold_uncertainty_score":0.99994475},"labels":[],"label_agreement":null},{"id":"W2577669109","doi":"10.5539/ijef.v9n2p46","title":"Numerical Methods for Differential Games: Capital Structure in an R&amp;D Duopoly","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"East Tennessee State University","keywords":"Duopoly; Differential game; Economics; Mathematical economics; Pecking order; Microeconomics; Valuation (finance); Mathematics; Mathematical optimization; Finance","score_opus":0.04113072745825701,"score_gpt":0.3233404354377393,"score_spread":0.2822097079794823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577669109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98918796,0.0031952746,0.004949941,0.0009568325,0.0013598017,0.00006279698,0.00014939807,0.000001399992,0.0001365914],"genre_scores_gemma":[0.97822446,0.0074111824,0.013643337,0.000096370924,0.00043417767,0.0000034001187,0.000019288056,0.000013318888,0.0001544493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989419,0.000009202029,0.0006665836,0.00022060683,0.00001807896,0.00014364139],"domain_scores_gemma":[0.9988367,0.000043981458,0.00079421507,0.00019521042,0.00007761263,0.00005228204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027326774,0.000121619276,0.0004070557,0.00022815568,0.00009286934,0.00032877704,0.00052721077,0.00008165033,0.000058405723],"category_scores_gemma":[0.00010141087,0.00012380088,0.00017203345,0.000017052193,0.00008235025,0.00065493997,0.00005545001,0.00013139297,0.0000038484936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019557649,0.00015296302,0.022221638,0.0000061454,0.00022437074,0.0000063930115,0.000670592,0.0016765927,0.00011984276,0.9573132,0.00007433154,0.017338369],"study_design_scores_gemma":[0.0028110023,0.0002584006,0.102817014,0.000032819353,0.000024354691,0.00005405421,0.000074884425,0.08543187,0.00037206043,0.74885243,0.058825735,0.00044536887],"about_ca_topic_score_codex":0.00013351892,"about_ca_topic_score_gemma":0.00017497435,"teacher_disagreement_score":0.20846075,"about_ca_system_score_codex":0.00007744167,"about_ca_system_score_gemma":0.000022843811,"threshold_uncertainty_score":0.5048454},"labels":[],"label_agreement":null},{"id":"W2579547685","doi":"","title":"An essay on fair value measurement of derivatives","year":2010,"lang":"en","type":"article","venue":"Accounting","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Epistemology; Mathematics; Computer science; Philosophy; Statistics","score_opus":0.028477047143494718,"score_gpt":0.22955914224418014,"score_spread":0.20108209510068542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579547685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840768,0.00045974963,0.00019638769,0.00013386348,0.00023201373,0.00005820587,0.000008744118,0.000020643212,0.014813568],"genre_scores_gemma":[0.998907,0.000041128187,0.0007012798,0.000117682015,0.00012086416,0.0000049395053,0.0000047603617,0.0000121676185,0.00009012863],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992473,0.0000058815667,0.00032770567,0.00021510608,0.000062751446,0.00014124633],"domain_scores_gemma":[0.99936277,0.00002044321,0.00027318703,0.00026101782,0.000050564064,0.000032040658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065676257,0.00008804384,0.00020744892,0.0001635206,0.00007625032,0.000048565926,0.00016670288,0.00005294646,0.00019215254],"category_scores_gemma":[0.00011733584,0.00008813008,0.00008732566,0.00015947805,0.0000420864,0.00026420286,0.000021390557,0.00011820331,0.000109767105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045926145,0.00016229384,0.09822405,0.000012177933,0.00006119527,4.566423e-7,0.00057510467,0.00008454362,0.010370857,0.88973117,0.00012433235,0.00064925605],"study_design_scores_gemma":[0.0014974807,0.00045815585,0.52489156,0.000084403,0.00007679683,0.0000017821956,0.0012533285,0.032480538,0.0797812,0.32747844,0.03066995,0.0013263508],"about_ca_topic_score_codex":0.0003234515,"about_ca_topic_score_gemma":0.00008346762,"teacher_disagreement_score":0.5622527,"about_ca_system_score_codex":0.000027422328,"about_ca_system_score_gemma":0.00001189913,"threshold_uncertainty_score":0.35938403},"labels":[],"label_agreement":null},{"id":"W2590394220","doi":"10.1007/s11053-017-9329-4","title":"Kalman Filtering-Based Approach for Project Valuation of an Iron Ore Mining Project Through Spot Price and Long-Term Commitment Contracts","year":2017,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Futures contract; Spot contract; Kalman filter; Econometrics; Profitability index; Economics; Valuation (finance); Commodity; Unobservable; Spot market; Computer science; Actuarial science; Finance; Engineering; Artificial intelligence","score_opus":0.21573601806706946,"score_gpt":0.3897923618762318,"score_spread":0.17405634380916232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590394220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989335,0.006629391,0.00021854934,0.00016080681,0.000054018066,0.0014163686,0.00008743431,0.000015997945,0.0020824287],"genre_scores_gemma":[0.9939287,0.00036810432,0.0042339377,0.00002548974,0.0001271986,0.00016158837,0.00017538715,0.000024760664,0.0009548438],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826586,0.000099726036,0.0004349276,0.00053763815,0.00022655321,0.00043526624],"domain_scores_gemma":[0.99850583,0.00025724823,0.00043360208,0.0005741631,0.0001664032,0.00006274707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002351516,0.00016783582,0.00041076652,0.000411627,0.00066140585,0.00038420103,0.0004948312,0.00013728185,0.000011471265],"category_scores_gemma":[0.00058616814,0.00014755502,0.00012576353,0.00019394618,0.00030949397,0.0004606609,0.00015238672,0.0002780911,0.00000242767],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011267087,0.006239164,0.69213223,0.008332243,0.0022259504,0.000089587644,0.07126323,0.0015724713,0.009496493,0.10014309,0.004743833,0.09249464],"study_design_scores_gemma":[0.0063440516,0.002534039,0.47888228,0.0002277284,0.00009426467,0.000007638224,0.0018501959,0.49171498,0.0050048074,0.003376479,0.00900581,0.00095772714],"about_ca_topic_score_codex":0.00097554707,"about_ca_topic_score_gemma":0.0001510688,"teacher_disagreement_score":0.4901425,"about_ca_system_score_codex":0.00012052516,"about_ca_system_score_gemma":0.00004727632,"threshold_uncertainty_score":0.60171187},"labels":[],"label_agreement":null},{"id":"W2592411208","doi":"10.5539/ibr.v10n4p69","title":"How Much Am I Selling It for? Approaches and Methods of Patents Valuation in Technology Transfer","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Activity-based costing; Technology transfer; Business; Industrial organization; Economics; Marketing; Accounting; International trade","score_opus":0.3962895455847392,"score_gpt":0.41796104326687417,"score_spread":0.021671497682134944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592411208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89536506,0.0023970688,0.079714336,0.020153254,0.0002049939,0.000334476,0.000054502,0.0000070338847,0.0017692599],"genre_scores_gemma":[0.9924187,0.0016847904,0.004547447,0.0000071482496,0.00004499561,0.00006932004,0.0000231817,0.000008479634,0.00119593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99924284,0.000025490557,0.0002533413,0.00024769406,0.00008412125,0.00014648563],"domain_scores_gemma":[0.99930763,0.00011189827,0.000089415764,0.00018946693,0.00028248184,0.000019090414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019424792,0.000061431456,0.00019509687,0.00091658917,0.00011658466,0.00017450923,0.00033588574,0.000090054695,0.000021297947],"category_scores_gemma":[0.00076089246,0.000062496736,0.000042685017,0.00023553974,0.00018095698,0.00030561243,0.0000768631,0.00010855174,0.000004261013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007877362,0.00016991439,0.25898075,0.00008559969,0.00015638006,0.0000017298418,0.00047643538,0.00013146679,0.0011034609,0.71667993,0.000046904835,0.022088632],"study_design_scores_gemma":[0.0012010372,0.00004274275,0.24613708,0.000055772023,0.000008713475,0.0000015779755,0.0005768426,0.091566615,0.0054977834,0.6500775,0.004654299,0.00018001517],"about_ca_topic_score_codex":0.00028430828,"about_ca_topic_score_gemma":0.00008706576,"teacher_disagreement_score":0.09705363,"about_ca_system_score_codex":0.00005110419,"about_ca_system_score_gemma":0.0000139485055,"threshold_uncertainty_score":0.2548543},"labels":[],"label_agreement":null},{"id":"W2592709245","doi":"10.3386/w23708","title":"Mispriced Index Option Portfolios","year":2017,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; University of Chicago","keywords":"Index (typography); Mathematics; Computer science; World Wide Web","score_opus":0.39103878466826925,"score_gpt":0.47901358552612006,"score_spread":0.08797480085785081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592709245","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15361565,0.019719914,0.00013998472,0.0036410931,0.0016516664,0.0011929667,0.0008452477,0.00004961793,0.81914383],"genre_scores_gemma":[0.98339707,0.0051764883,0.0002411945,0.00003136887,0.0006434004,0.00010721619,0.00055160664,0.000036965706,0.009814679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99731696,0.000060457787,0.0011246719,0.00083710824,0.00025246307,0.00040834615],"domain_scores_gemma":[0.9972208,0.00022521253,0.0011769726,0.00082631514,0.00040992702,0.00014074561],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004435031,0.0002435444,0.00077753986,0.001789771,0.00025500456,0.00028722954,0.0011085724,0.0005322399,0.0012574093],"category_scores_gemma":[0.0006125533,0.000292099,0.000468589,0.000116613635,0.00032857351,0.00028097854,0.00074750214,0.00087351084,0.0015583262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039767012,0.00009392042,0.006349416,0.00007020643,0.00031834093,0.0000021122557,0.000076203665,0.0022989723,0.000012642381,0.98217577,0.008417219,0.00014545608],"study_design_scores_gemma":[0.0003863017,0.000032131047,0.009172964,0.00003952827,0.00000929052,0.0000012932136,0.000023099588,0.026713474,0.000074374,0.95891607,0.0043608053,0.00027066807],"about_ca_topic_score_codex":0.003880894,"about_ca_topic_score_gemma":0.00015612462,"teacher_disagreement_score":0.8297814,"about_ca_system_score_codex":0.000964935,"about_ca_system_score_gemma":0.0004161356,"threshold_uncertainty_score":0.9999531},"labels":[],"label_agreement":null},{"id":"W2602886582","doi":"10.1016/j.renene.2017.03.031","title":"Quantifying economic risk in photovoltaic power projects","year":2017,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Photovoltaic system; Tariff; Revenue; Electricity; Internal rate of return; Variable cost; Investment (military); Environmental economics; Economics; Business; Production (economics); Finance; Engineering; Microeconomics","score_opus":0.04608038569730613,"score_gpt":0.2458025682214041,"score_spread":0.19972218252409796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602886582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9126461,0.008207724,0.00017397651,0.00008738138,0.00064494426,0.000079943726,0.000055380453,0.000036544065,0.07806798],"genre_scores_gemma":[0.9843232,0.0064156204,0.00021356462,0.000066255045,0.00009635802,0.000026912325,0.0000137047555,0.000026964897,0.008817444],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867666,0.00001384,0.00046503742,0.0004705412,0.000026030744,0.00034789782],"domain_scores_gemma":[0.9985842,0.000024757133,0.0005564949,0.000748996,0.000008538348,0.00007701141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003495704,0.00016676096,0.00041807853,0.0003505568,0.00031154833,0.00025525424,0.0003823802,0.000111970185,0.0005593032],"category_scores_gemma":[0.000070772294,0.00018402596,0.00017582331,0.00007983095,0.0000656424,0.00041237252,0.00011295412,0.00008636265,0.0003512753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003101791,0.00013895932,0.63947034,0.000015212197,0.00017232017,0.000026864078,0.0003497059,0.033349067,0.00053118693,0.32237783,0.0032249112,0.00031257138],"study_design_scores_gemma":[0.0036139523,0.00021617573,0.20982772,0.0000961878,0.000056708457,0.000008377404,0.00044344182,0.26376796,0.013811788,0.22872005,0.27742067,0.0020169544],"about_ca_topic_score_codex":0.2236035,"about_ca_topic_score_gemma":0.047097884,"teacher_disagreement_score":0.42964262,"about_ca_system_score_codex":0.00017510189,"about_ca_system_score_gemma":0.000031974916,"threshold_uncertainty_score":0.9702901},"labels":[],"label_agreement":null},{"id":"W2603701333","doi":"10.18260/1-2--11495","title":"Calculating I From Financial Data: A Longitudinal Analysis Of Construction Related Firms","year":2020,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Variety (cybernetics); Rate of return; Cost of capital; Order (exchange); Investment (military); Interest rate; Finance; Return on investment; Capital (architecture); Financial modeling; Set (abstract data type); Computer science; Economics; Incentive; Microeconomics; Production (economics)","score_opus":0.08583605747806598,"score_gpt":0.24186175353077535,"score_spread":0.15602569605270938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603701333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878025,0.00263051,0.0050604246,0.0006307145,0.00011613307,0.000062177874,0.00088501436,0.000035474302,0.002777051],"genre_scores_gemma":[0.9957783,0.00023695998,0.0029017434,0.0001249948,0.00006482163,0.0000012418077,0.000791953,0.000006880919,0.000093082715],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986776,0.000008418054,0.00069831044,0.0004536016,0.000039847553,0.00012223875],"domain_scores_gemma":[0.9991359,0.000037988273,0.00038221668,0.00034846607,0.00002246837,0.00007294982],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013553869,0.00010096604,0.00055268744,0.00023879431,0.00005516181,0.000030750845,0.00021488409,0.00008260558,0.0022851282],"category_scores_gemma":[0.000157402,0.0001039191,0.00023474614,0.0014361669,0.00006917,0.0002536312,0.00011920948,0.00009039291,0.000120525634],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014606386,0.000036870555,0.6795165,0.000006257418,0.0019574915,0.000003609764,0.00046589455,0.0013730892,0.000049571434,0.3155685,0.00055536424,0.00045226899],"study_design_scores_gemma":[0.00040924625,0.000036416244,0.28559124,0.0000041047115,0.000935002,3.3017804e-7,0.00015823019,0.69745785,0.000085910564,0.013971131,0.001111578,0.00023897109],"about_ca_topic_score_codex":0.00282487,"about_ca_topic_score_gemma":0.00025033133,"teacher_disagreement_score":0.69608474,"about_ca_system_score_codex":0.000020554295,"about_ca_system_score_gemma":0.000011622359,"threshold_uncertainty_score":0.99862695},"labels":[],"label_agreement":null},{"id":"W2605705412","doi":"10.71781/9927","title":"Contrôle adaptatif et autoréglage : applications de l'approximation stochastique","year":2004,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Philosophy","score_opus":0.038691554881670406,"score_gpt":0.2948155739491014,"score_spread":0.256124019067431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605705412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6192123,0.054545406,0.15786916,0.0042658937,0.0014295938,0.007816778,0.0037218912,0.000020031623,0.1511189],"genre_scores_gemma":[0.6687632,0.0070630494,0.091242686,0.00043384207,0.00041120205,0.002123535,0.016416298,0.00017959687,0.21336658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997629,0.000049527534,0.0010301936,0.0008110578,0.000072260555,0.00040799574],"domain_scores_gemma":[0.9980272,0.00008940176,0.0011440127,0.00047501645,0.00010216763,0.00016221247],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00079296384,0.00039392762,0.00079709815,0.00035284218,0.00031680416,0.000734636,0.00068523915,0.00049074437,0.005572812],"category_scores_gemma":[0.00006022002,0.0004982152,0.0003128055,0.00045133842,0.00008463803,0.00064295426,0.00009378853,0.00038438852,0.0040048063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007498076,0.00078726467,0.000600101,0.00013453224,0.00055134896,0.000012382814,0.017095558,0.0074192323,0.0004692205,0.93271327,0.0003163344,0.039825756],"study_design_scores_gemma":[0.0058183363,0.00056911877,0.017325535,0.001044598,0.0013033835,0.000035043322,0.019106185,0.18182412,0.008030466,0.28223023,0.4784646,0.0042483713],"about_ca_topic_score_codex":0.0037053253,"about_ca_topic_score_gemma":0.006187605,"teacher_disagreement_score":0.6504831,"about_ca_system_score_codex":0.0006195762,"about_ca_system_score_gemma":0.00044120973,"threshold_uncertainty_score":0.9997469},"labels":[],"label_agreement":null},{"id":"W2606646056","doi":"10.5539/ijps.v9n2p96","title":"Factors Affecting Delay Discounting—The Real Option Approach","year":2017,"lang":"en","type":"article","venue":"International Journal of Psychological Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Hong Kong","keywords":"Delay discounting; Discounting; Irrational number; Psychology; Time preference; Product (mathematics); Behavioral economics; Social psychology; Econometrics; Economics; Microeconomics; Mathematics; Finance","score_opus":0.2408155154254674,"score_gpt":0.3977313569881174,"score_spread":0.15691584156265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606646056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837489,0.0045020804,0.0005764116,0.0015710787,0.0016304,0.000040604788,0.0000085037245,0.0000058687233,0.007916159],"genre_scores_gemma":[0.9925099,0.006158868,0.00034079215,0.00008827202,0.00059985125,0.0000015866717,0.000001826599,0.0000048763413,0.0002940142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911654,0.000016453989,0.000495229,0.00015365989,0.00010376653,0.000114361676],"domain_scores_gemma":[0.9984167,0.00008936458,0.001173694,0.00015131297,0.00013754219,0.000031364845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066992256,0.00010118448,0.0002832324,0.00009388505,0.00034591902,0.00022934971,0.00066558336,0.000045566332,0.00004327764],"category_scores_gemma":[0.00047182327,0.000056373596,0.00027504115,0.00003492822,0.00020121662,0.0002898988,0.00011684395,0.0001807066,0.000022571385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069580965,0.00041093345,0.6426948,0.0000062368313,0.0019791827,0.00003200931,0.002688679,0.00018360085,0.000041590447,0.34769237,0.0023588869,0.0018421854],"study_design_scores_gemma":[0.00049155037,0.00013387536,0.9271242,0.000021559725,0.00003483377,0.000022297958,0.0018130018,0.0002606944,0.000021236778,0.0678657,0.0020640749,0.00014696625],"about_ca_topic_score_codex":0.00005262027,"about_ca_topic_score_gemma":0.000009424792,"teacher_disagreement_score":0.28442946,"about_ca_system_score_codex":0.00007194083,"about_ca_system_score_gemma":0.0000018801054,"threshold_uncertainty_score":0.26605645},"labels":[],"label_agreement":null},{"id":"W2617948779","doi":"10.1111/1911-3846.12319","title":"Relating Product Prices to Long‐Run Marginal Cost: Evidence from Solar Photovoltaic Modules","year":2017,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Marginal cost; Economics; Context (archaeology); Product (mathematics); Production (economics); Photovoltaic system; Econometrics; Marginal product; Fixed cost; Order (exchange); Microeconomics; Engineering; Mathematics; Finance","score_opus":0.1879402010519716,"score_gpt":0.34912201515154484,"score_spread":0.16118181409957325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617948779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94623375,0.037242163,0.00017224581,0.0030262978,0.00035772717,0.00085782236,0.000088383524,0.00006369621,0.01195793],"genre_scores_gemma":[0.99159515,0.0010937497,0.0010222071,0.000106604566,0.0005634104,0.00010963021,0.000038785514,0.00004809766,0.005422344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969658,0.00008154989,0.00078382756,0.0011455746,0.0003080189,0.0007152236],"domain_scores_gemma":[0.9968084,0.000458822,0.00063373917,0.0015937454,0.00029044115,0.00021484276],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0061467607,0.00025334046,0.0005654554,0.0006478199,0.002088325,0.0018821126,0.0015243926,0.00012448829,0.00035338846],"category_scores_gemma":[0.0051490357,0.00026553124,0.00018722028,0.00045295054,0.00028685847,0.0026889835,0.0008550018,0.00068547647,0.0021599662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112259615,0.00007855131,0.97982013,0.00006483593,0.00012301936,0.0000448983,0.0008000326,0.000022864848,0.00226389,0.004097028,0.0112152975,0.001357181],"study_design_scores_gemma":[0.0005387995,0.0001044195,0.93281,0.0005899849,0.000011884188,0.0000021234182,0.0002798276,0.009978381,0.0032592774,0.01454559,0.03722044,0.0006592772],"about_ca_topic_score_codex":0.016878147,"about_ca_topic_score_gemma":0.0004122648,"teacher_disagreement_score":0.047010146,"about_ca_system_score_codex":0.0001744432,"about_ca_system_score_gemma":0.00010840493,"threshold_uncertainty_score":0.9999797},"labels":[],"label_agreement":null},{"id":"W2624208573","doi":"10.1002/fut.22148","title":"Dynamic programming for valuing American options under a variance‐gamma process","year":2020,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds pour la Formation de Chercheurs et l'Aide à la Recherche","keywords":"Process (computing); Computer science; Variance (accounting); Econometrics; Economics; Programming language; Accounting","score_opus":0.02482291891366785,"score_gpt":0.26404455706562513,"score_spread":0.2392216381519573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624208573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8981178,0.025988556,0.05546166,0.017826026,0.00088784547,0.000533444,0.00009027188,0.000046082638,0.0010483592],"genre_scores_gemma":[0.984092,0.0014576728,0.013027158,0.00070206256,0.0004595968,0.0000139705,0.0000064295014,0.00002478425,0.00021633078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988903,0.000015883095,0.0006258074,0.00018860237,0.00006340657,0.00021602394],"domain_scores_gemma":[0.9986659,0.00005718395,0.00093965937,0.0000936981,0.00009175169,0.00015176677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039386598,0.00012651901,0.00044981326,0.00018614932,0.00012754153,0.00011546762,0.00022200763,0.00004463982,0.00007595611],"category_scores_gemma":[0.00014430482,0.000117301985,0.00034887288,0.00036172403,0.00005326663,0.00025274174,0.000020581632,0.00017148057,0.000010128443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003932707,0.0025383674,0.06774449,0.0014803171,0.008951308,0.00017741504,0.020211661,0.022658372,0.0010564444,0.7066093,0.02222606,0.14241356],"study_design_scores_gemma":[0.0076771462,0.0038795748,0.19236812,0.00029842093,0.0010016563,0.0001794899,0.014857591,0.2719673,0.00019286516,0.28740552,0.21769308,0.0024792408],"about_ca_topic_score_codex":0.000008625622,"about_ca_topic_score_gemma":0.000010446058,"teacher_disagreement_score":0.41920376,"about_ca_system_score_codex":0.00006910732,"about_ca_system_score_gemma":0.000033727916,"threshold_uncertainty_score":0.4783436},"labels":[],"label_agreement":null},{"id":"W2734356940","doi":"10.2139/ssrn.1443463","title":"Incorporating Tunneling Risk into Equity Valuation: an Application to the Oil and Gas Industry","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Valuation (finance); Petroleum industry; Equity (law); Fossil fuel; Financial economics; Business; Economics; Actuarial science; Petroleum engineering; Environmental science; Finance; Engineering; Political science; Waste management; Law; Environmental engineering","score_opus":0.023853460198172024,"score_gpt":0.26455007135089315,"score_spread":0.24069661115272112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734356940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513475,0.018943038,0.021767477,0.006951748,0.00007476905,0.00006758062,0.000003947106,0.000020374227,0.00082358526],"genre_scores_gemma":[0.9866618,0.011691175,0.0004573616,0.00039230916,0.00045251838,0.000006414445,0.0000070991723,0.000008709456,0.00032260988],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867934,0.00003660695,0.0003986183,0.0002313135,0.00006392478,0.0005902105],"domain_scores_gemma":[0.9992586,0.000017195916,0.0003944296,0.00019004592,0.000041032246,0.00009871288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033962163,0.00010568911,0.00016833264,0.00014723913,0.0005150496,0.00017352955,0.00021526426,0.00009965764,0.0000121647445],"category_scores_gemma":[0.00008117995,0.00008916058,0.000063615975,0.00030751762,0.000023339397,0.000294179,0.000040352224,0.001183081,0.000050425413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008507449,0.00003247137,0.0061195316,0.0000010764951,0.000043759446,1.8694332e-7,0.0005230153,0.0013250951,0.00004790474,0.7766055,0.000018352548,0.2152746],"study_design_scores_gemma":[0.000185893,0.00018542135,0.0034500614,0.000003981445,0.000025323465,0.000017834316,0.00086781883,0.027378725,0.000012421969,0.96717954,0.00056508824,0.00012789766],"about_ca_topic_score_codex":0.00040212594,"about_ca_topic_score_gemma":0.001256958,"teacher_disagreement_score":0.2151467,"about_ca_system_score_codex":0.00040170658,"about_ca_system_score_gemma":0.00014414551,"threshold_uncertainty_score":0.51399636},"labels":[],"label_agreement":null},{"id":"W2737308305","doi":"","title":"A Dynamic Program for Valuing Corporate Securities","year":2013,"lang":"fr","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis; Brock University","funders":"","keywords":"Flexibility (engineering); Seniority; Balance sheet; Debt; Carry (investment); Dynamic programming; Yield (engineering); Computer science; Process (computing); Sensitivity (control systems); Business; Actuarial science; Accounting; Economics; Finance; Algorithm; Engineering; Programming language; Management","score_opus":0.04504433454064186,"score_gpt":0.2934464775483785,"score_spread":0.24840214300773664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737308305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8869017,0.057488043,0.000020383384,0.004645291,0.0017187883,0.0035925861,0.00048153635,0.00007659008,0.045075085],"genre_scores_gemma":[0.5855526,0.24775,0.008528827,0.0002796537,0.00040387837,0.0031773725,0.0002658408,0.00018871203,0.15385318],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959516,0.00009767591,0.0013137156,0.0010286553,0.000080503596,0.0015278634],"domain_scores_gemma":[0.99780506,0.00047572528,0.0005819085,0.0006929618,0.00016780745,0.00027652338],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018609625,0.00036569597,0.0008816176,0.0010017924,0.00034392247,0.00067019765,0.00054199685,0.00041610858,0.0011825814],"category_scores_gemma":[0.00031962365,0.0004794268,0.00050321186,0.0004642012,0.0007872732,0.00072482723,0.00023441273,0.00066777045,0.00048330668],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006625771,0.0011529153,0.023895578,0.00065386243,0.00060721056,0.000018290073,0.0016165548,0.002078268,0.00003010419,0.3027548,0.0017070445,0.6654191],"study_design_scores_gemma":[0.0013654287,0.0005726703,0.011901861,0.00020609309,0.000025787447,0.000008785162,0.0021820106,0.6140062,0.000027664135,0.16974345,0.19914682,0.00081323093],"about_ca_topic_score_codex":0.0007506811,"about_ca_topic_score_gemma":0.0009952898,"teacher_disagreement_score":0.6646059,"about_ca_system_score_codex":0.001186694,"about_ca_system_score_gemma":0.00013964952,"threshold_uncertainty_score":0.99976575},"labels":[],"label_agreement":null},{"id":"W2746227284","doi":"","title":"Economic Scenario Generators: Calibration, Simulation and Comparison from an ALM Perspective","year":2009,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Calibration; Black box; Computer science; Asset (computer security); Liability; Financial market; Finance; Decision maker; Actuarial science; Economics; Operations research; Engineering; Computer security; Artificial intelligence; Mathematics","score_opus":0.033321718905024195,"score_gpt":0.27894475772963373,"score_spread":0.24562303882460954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746227284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856824,0.005044041,0.0036853596,0.0011024856,0.0000962186,0.000099849975,0.000056369132,0.000048611564,0.004184637],"genre_scores_gemma":[0.9976998,0.0001906408,0.0009697701,0.0005371384,0.00020771555,0.000001701617,0.00008708136,0.000007706337,0.00029847008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915814,0.000010127859,0.00034824084,0.0003524172,0.000016070604,0.000114998074],"domain_scores_gemma":[0.99956375,0.000019531359,0.0001413062,0.00017350103,0.000016176422,0.00008575667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083693914,0.00010942199,0.00026884355,0.00013359833,0.00010379,0.00016806267,0.00006622505,0.000069388276,0.0006648419],"category_scores_gemma":[0.000008821311,0.00011632323,0.000056277247,0.00006685096,0.000027857835,0.0005540127,0.000011577778,0.000054145898,0.00014184635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106403095,0.000083656334,0.07012947,5.116131e-7,0.00005444742,4.212612e-7,0.0015826058,0.030134609,0.000020984582,0.89703596,0.0006634883,0.00028318664],"study_design_scores_gemma":[0.00024596963,0.00007375449,0.0386659,0.0000010002914,0.000012123514,1.18888906e-7,0.00040408224,0.7940062,0.00014198436,0.16535415,0.00092118303,0.00017350508],"about_ca_topic_score_codex":0.003050845,"about_ca_topic_score_gemma":0.0009256713,"teacher_disagreement_score":0.7638716,"about_ca_system_score_codex":0.00012675235,"about_ca_system_score_gemma":0.000009748705,"threshold_uncertainty_score":0.7279552},"labels":[],"label_agreement":null},{"id":"W2755426559","doi":"10.15173/esr.v22i1.3306","title":"ECONOMIC VALUE OF R&amp;D IN THE FIELD OF FAST REACTORS TAKING INTO ACCOUNT UNCERTAINTY ON THEIR COMPETITIVENESS: THE CASE OF FRANCE","year":2017,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Software deployment; Value (mathematics); Field (mathematics); Economics; Uranium; Environmental economics; Key (lock); Natural resource economics; Computer science; Mathematics; Physics","score_opus":0.054825627211162666,"score_gpt":0.3224103453136959,"score_spread":0.2675847181025332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755426559","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44578436,0.546665,0.00001448199,0.002104051,0.00020817839,0.00016090013,0.000057827096,0.000002315016,0.005002878],"genre_scores_gemma":[0.6663132,0.3331574,0.0000123257305,0.00041708426,0.000027361248,0.000019693314,0.000002277753,0.0000042683273,0.00004645763],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989648,0.000054665114,0.0006663174,0.00018424838,0.000026787162,0.00010321931],"domain_scores_gemma":[0.9974182,0.0005019322,0.0013596208,0.00067487,0.000035036264,0.000010317656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007726188,0.00013241006,0.0007849418,0.00006619073,0.00014703887,0.000012155138,0.00043356995,0.000031833995,0.00006762532],"category_scores_gemma":[0.00031745556,0.000074290205,0.0002545191,0.000091985734,0.0002317525,0.000073260904,0.00010958115,0.000078375604,0.0000046791492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009747166,0.00008381706,0.0109886825,0.00077242625,0.00047485868,0.000005357154,0.002528097,0.0005877879,0.0000046037385,0.9723957,0.0003710041,0.011777899],"study_design_scores_gemma":[0.0016626542,0.0006359535,0.08150556,0.010769158,0.0005078283,0.000020482204,0.011761653,0.0018113651,0.001136091,0.09833541,0.7905925,0.0012613249],"about_ca_topic_score_codex":0.011403158,"about_ca_topic_score_gemma":0.0061239027,"teacher_disagreement_score":0.87406033,"about_ca_system_score_codex":0.000042285086,"about_ca_system_score_gemma":0.000010564008,"threshold_uncertainty_score":0.99518},"labels":[],"label_agreement":null},{"id":"W2762643064","doi":"10.2139/ssrn.2364187","title":"Time Horizon Effect on Real Investment Decisions","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Horizon; Investment (military); Economics; Investment decisions; Time horizon; Econometrics; Business; Monetary economics; Financial economics; Actuarial science; Natural resource economics; Microeconomics; Finance; Mathematics; Political science; Behavioral economics","score_opus":0.010603976876662796,"score_gpt":0.20892786013579542,"score_spread":0.19832388325913264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762643064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9622175,0.012095154,0.00010488223,0.0008193998,0.00022738356,0.00022815594,0.000007241726,0.000035288944,0.024264967],"genre_scores_gemma":[0.947237,0.034833092,0.0000692058,0.00035494438,0.00037323186,0.00003152764,0.000017761986,0.000039860268,0.017043358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976234,0.000040506584,0.0005006107,0.0003006984,0.00008451044,0.0014503041],"domain_scores_gemma":[0.999152,0.00010443719,0.000279704,0.00027176947,0.000028110742,0.00016398505],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011826409,0.00020039242,0.00038524548,0.0003667568,0.00023768371,0.00013635115,0.0002724237,0.00009709266,0.0008280626],"category_scores_gemma":[0.00009183384,0.0001694123,0.00031713746,0.00025676348,0.000052417483,0.00026098688,0.000036992584,0.0008848981,0.012594121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016870483,0.000086282314,0.0012707206,0.0000010061856,0.000252755,0.0000019196564,0.000051906278,0.000035737947,0.00008723325,0.9914111,0.0025565352,0.0042279167],"study_design_scores_gemma":[0.0007094282,0.0023523967,0.0021397087,0.000012943547,0.000031860836,0.00003340226,0.000092234375,0.0012470738,0.00007553086,0.98906684,0.0039633224,0.00027524412],"about_ca_topic_score_codex":0.00039275357,"about_ca_topic_score_gemma":0.000093040355,"teacher_disagreement_score":0.022737937,"about_ca_system_score_codex":0.00096219004,"about_ca_system_score_gemma":0.00013484168,"threshold_uncertainty_score":0.9881747},"labels":[],"label_agreement":null},{"id":"W2763728129","doi":"","title":"Decision Horizon and Idiosyncratic Risk","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cash flow; Volatility (finance); Systematic risk; Economics; Time horizon; Horizon; Stock (firearms); Financial economics; Investment (military); Cash; Microeconomics; Econometrics; Monetary economics; Actuarial science; Finance; Mathematics; Engineering","score_opus":0.005574158388281009,"score_gpt":0.1868654227462933,"score_spread":0.1812912643580123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763728129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9057061,0.09050387,0.0015751534,0.00013871017,0.00024569448,0.00007035456,0.00000507715,0.000010427769,0.0017446014],"genre_scores_gemma":[0.86416453,0.132679,0.00013534543,0.00003259269,0.00010374089,0.000001135518,0.0000017926372,0.000013619253,0.002868233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984749,0.000015335027,0.00036522755,0.00022650659,0.000044918645,0.0008731403],"domain_scores_gemma":[0.9994284,0.000040786705,0.00028267512,0.00016164444,0.00001618696,0.00007029075],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012853784,0.000112842165,0.000271171,0.0002194539,0.00013786275,0.00009722548,0.0001333316,0.00006462699,0.0002155888],"category_scores_gemma":[0.000051274463,0.00010335514,0.00013735164,0.0001669858,0.000022104914,0.00023937089,0.000031382155,0.00074256875,0.00093091367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000162338,0.000021213635,0.06312116,0.000002148788,0.00013399635,7.057896e-7,0.000056957128,0.000021866485,0.000015875217,0.9295028,0.000060506394,0.0070465603],"study_design_scores_gemma":[0.0005540329,0.00038377658,0.0057885093,0.000007122745,0.000024980498,0.000051717387,0.00026913284,0.0019796684,0.0000107120395,0.98807603,0.0026951584,0.000159141],"about_ca_topic_score_codex":0.00012710753,"about_ca_topic_score_gemma":0.00030446675,"teacher_disagreement_score":0.058573276,"about_ca_system_score_codex":0.00027813614,"about_ca_system_score_gemma":0.000087205655,"threshold_uncertainty_score":0.999847},"labels":[],"label_agreement":null},{"id":"W2765287148","doi":"10.5430/afr.v6n4p244","title":"The Financial Effects of Strategic Divestment – An Analysis of GE Capital","year":2017,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Divestment; Industrial organization; Business; Strategic management; Strategic leadership; Context (archaeology); Multinational corporation; Strategic planning; Marketing; Economics; Finance","score_opus":0.0743472847282842,"score_gpt":0.32140010137278796,"score_spread":0.24705281664450376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765287148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814414,0.016535878,0.000014149838,0.00012055848,0.000092058275,0.00013702217,0.000028106217,0.000003995053,0.0016268544],"genre_scores_gemma":[0.9857269,0.013783874,0.00006238912,0.0000075264784,0.00005718074,0.000019416624,0.000007679665,0.000008203257,0.00032683302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99867445,0.000042394233,0.0004533646,0.00033864123,0.00013310455,0.00035802744],"domain_scores_gemma":[0.99827677,0.00030409964,0.00052178017,0.0007305125,0.00012978616,0.000037077618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022582843,0.000108214284,0.00046312102,0.00037601654,0.0009634541,0.00023585394,0.00053357263,0.00008378266,0.00001035579],"category_scores_gemma":[0.0005078832,0.00008738876,0.00017305721,0.00041516853,0.0006252068,0.00031072018,0.00019449623,0.00018880148,0.000010243853],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027670127,0.00011898637,0.1476306,0.00005203736,0.00027651835,0.0000039677952,0.00069777813,0.000053805652,0.000110775196,0.848944,0.000022054912,0.0020618197],"study_design_scores_gemma":[0.00032973784,0.00020157993,0.877595,0.000024880632,0.00009951836,2.7741336e-7,0.0002949488,0.020125557,0.0004715397,0.100354195,0.00035252454,0.00015024931],"about_ca_topic_score_codex":0.0032023806,"about_ca_topic_score_gemma":0.000541237,"teacher_disagreement_score":0.74858975,"about_ca_system_score_codex":0.00002800786,"about_ca_system_score_gemma":0.000031061714,"threshold_uncertainty_score":0.7410207},"labels":[],"label_agreement":null},{"id":"W2766718468","doi":"10.5703/1288284316430","title":"Valuing Consortial Resources: A Framework for Assessment","year":2017,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Institution; Value (mathematics); Computer science; Resource (disambiguation); Value creation; Knowledge management; Business; Data science; Sociology; Computer network","score_opus":0.10329761035887586,"score_gpt":0.32600818942535076,"score_spread":0.2227105790664749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766718468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48961672,0.005140788,0.24521962,0.0066988496,0.0015376734,0.00074712327,0.000197347,0.00013332443,0.25070858],"genre_scores_gemma":[0.95307535,0.0003100897,0.039328173,0.00036502836,0.0002861609,0.00004537016,0.000007747146,0.000015549942,0.0065665585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99917567,0.0000035650712,0.0003217041,0.00027557055,0.000024824236,0.00019865153],"domain_scores_gemma":[0.9989935,0.00006809982,0.00034373495,0.0005126336,0.000018640565,0.00006338497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036317826,0.000092549526,0.00026882015,0.00008714814,0.0005073435,0.0003778204,0.0002825349,0.00008280581,0.00082141114],"category_scores_gemma":[0.00018067214,0.00009073138,0.00021566653,0.000029948878,0.00007684501,0.00017503252,0.0000674785,0.00007986439,0.0001831373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047881126,0.00002931681,0.02625124,0.0000064047767,0.00007160545,6.3579944e-7,0.00013059578,0.000007155332,0.000004437028,0.97229296,0.0009392539,0.00026160938],"study_design_scores_gemma":[0.0004210369,0.00005433836,0.030856337,0.0000115943685,0.000022959823,4.1090533e-7,0.00013026202,0.013531803,0.000049395407,0.87990576,0.07479623,0.00021986965],"about_ca_topic_score_codex":0.00029895522,"about_ca_topic_score_gemma":0.000036031728,"teacher_disagreement_score":0.46345863,"about_ca_system_score_codex":0.00004023163,"about_ca_system_score_gemma":0.000007935302,"threshold_uncertainty_score":0.8993876},"labels":[],"label_agreement":null},{"id":"W2768247343","doi":"10.5539/ijef.v9n12p175","title":"The Extent of Using Capital Budgeting Techniques in Evaluating Manager’s Investments Projects Decisions (A Case Study on Jordanian Industrial Companies)","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Payback period; Internal rate of return; Capital budgeting; Net present value; Modified internal rate of return; Profitability index; Return on capital employed; Rate of return; Investment (military); Return on investment; Order (exchange); Business; Finance; Capital (architecture); Index (typography); Operations management; Economics; Investment performance; Financial capital; Computer science; Production (economics); Capital formation; Project appraisal; Microeconomics","score_opus":0.17679627507992196,"score_gpt":0.34770637244282304,"score_spread":0.17091009736290108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768247343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976122,0.0009940888,0.000014760808,0.0002705007,0.0005812465,0.00020065613,0.000025172536,0.0000012870545,0.00030009632],"genre_scores_gemma":[0.99576485,0.0032003291,0.00078529847,0.00003482371,0.00016160704,0.000005178224,7.4882826e-7,0.000010364152,0.00003676938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853885,0.000024389894,0.001048859,0.00019590223,0.000057917867,0.00013406656],"domain_scores_gemma":[0.9974559,0.00013362258,0.002044181,0.00023259212,0.00010240815,0.0000313262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013178338,0.00012086279,0.00034976538,0.00032132847,0.0002724784,0.00027965632,0.0004677554,0.000050618302,0.0000028754048],"category_scores_gemma":[0.0003519385,0.00010482074,0.00011678574,0.00004303515,0.00010913534,0.0003583512,0.0001653048,0.00019549753,0.0000015512634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004961257,0.0013297931,0.41803005,0.0000066144585,0.0011721959,0.0011880081,0.0064656283,0.009641123,0.000041097606,0.51149315,0.00008501666,0.050051186],"study_design_scores_gemma":[0.014879374,0.0034454896,0.33715028,0.0010374932,0.00023352414,0.0020364742,0.02733044,0.33817893,0.0010206618,0.26873666,0.0043342435,0.0016164142],"about_ca_topic_score_codex":0.0010934866,"about_ca_topic_score_gemma":0.0004641099,"teacher_disagreement_score":0.32853782,"about_ca_system_score_codex":0.00015881298,"about_ca_system_score_gemma":0.00004570768,"threshold_uncertainty_score":0.42744657},"labels":[],"label_agreement":null},{"id":"W2770377059","doi":"10.2139/ssrn.3066248","title":"Real Options and Endogenous Investment Costs: Evidence from Oil Rig Rates","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Investment (military); Economics; Monetary economics; Business","score_opus":0.04900015463421694,"score_gpt":0.2545648449168709,"score_spread":0.20556469028265398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770377059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.743078,0.24894685,0.000069513764,0.0012839679,0.00022690716,0.00005062523,0.000037437425,0.00001564847,0.0062910616],"genre_scores_gemma":[0.55182534,0.44535488,0.00014376885,0.00007268479,0.00020972958,0.000005770314,0.0000061946917,0.000011829835,0.0023697803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99820155,0.000024014133,0.00041718036,0.00031147565,0.000056214154,0.0009895498],"domain_scores_gemma":[0.99883604,0.00005569227,0.0005432022,0.00039631492,0.000033288085,0.00013545112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009532541,0.00016018016,0.0003186945,0.0001450589,0.0009280819,0.0004770266,0.00039105027,0.000076584576,0.00011439662],"category_scores_gemma":[0.000132278,0.00015452139,0.0001485711,0.000057481993,0.00013859282,0.0006033663,0.00008879172,0.00063835806,0.00020220823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015994046,0.00004558935,0.027708363,0.000002341822,0.00031342605,0.000006615255,0.00022312792,0.0000062239224,0.00026873613,0.97006017,0.000070352515,0.001279035],"study_design_scores_gemma":[0.0006553491,0.00018841997,0.021055138,0.00004293489,0.00007958479,0.00008039074,0.0005241205,0.0007512939,0.00015021721,0.974906,0.0012674078,0.000299111],"about_ca_topic_score_codex":0.009379191,"about_ca_topic_score_gemma":0.004374644,"teacher_disagreement_score":0.19640802,"about_ca_system_score_codex":0.0009137018,"about_ca_system_score_gemma":0.00023726288,"threshold_uncertainty_score":0.9972174},"labels":[],"label_agreement":null},{"id":"W2770697357","doi":"10.1057/978-1-137-59139-5_9","title":"Markets Are not Created Equal","year":2017,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Dilemma; Order (exchange); Competition (biology); Microeconomics; Predatory pricing; Economics; Homogeneous; Value (mathematics); Industrial organization; Business; Scale (ratio); Public economics; Market economy; Finance; Monopoly","score_opus":0.04955627661705492,"score_gpt":0.22847122839818387,"score_spread":0.17891495178112896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770697357","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043922194,0.012466646,0.000024712523,0.00009868782,0.00059338636,0.00036053485,0.0014263565,0.00009290636,0.98449755],"genre_scores_gemma":[0.7769206,0.0023266643,0.000061712264,0.0002560802,0.00042330485,0.000020793714,0.00020035944,0.00012275513,0.21966773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973066,0.000011635681,0.0010057132,0.0010140878,0.00012635734,0.0005356394],"domain_scores_gemma":[0.9964268,0.000065991815,0.0016947634,0.0014703211,0.00007800499,0.00026408114],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00037325086,0.00070782093,0.0014320896,0.00062169536,0.00035234564,0.00027157515,0.0007284087,0.0006517781,0.0038133191],"category_scores_gemma":[0.00006390421,0.0007561651,0.0008882378,0.000012837074,0.0002883728,0.0000020350537,0.00027091414,0.0004395482,0.0044569643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044189193,8.341935e-7,0.00091821124,0.00004440321,0.00058435526,0.00010647726,0.00009831349,4.2331743e-7,0.0000044176545,0.9969194,0.00027605618,0.0010029292],"study_design_scores_gemma":[0.0005129041,0.000051250026,0.0024706826,0.00011355673,0.00013316693,0.000010301151,0.000009873248,0.00014632013,0.000047556874,0.96576196,0.029759975,0.0009824345],"about_ca_topic_score_codex":0.00027910975,"about_ca_topic_score_gemma":0.00026431846,"teacher_disagreement_score":0.7764814,"about_ca_system_score_codex":0.00015262651,"about_ca_system_score_gemma":0.000031181204,"threshold_uncertainty_score":0.99948895},"labels":[],"label_agreement":null},{"id":"W2784289672","doi":"10.5539/ibr.v11n2p70","title":"Forward Unbiasedness in the Short End of the Interest Rate Market","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Forward rate; Estimator; Basis point; Risk premium; Econometrics; Economics; Basis (linear algebra); Interest rate; Investment (military); Constant (computer programming); Exchange rate; A priori and a posteriori; Variable (mathematics); Mathematics; Statistics; Computer science; Monetary economics","score_opus":0.13734998206386057,"score_gpt":0.3455886328525439,"score_spread":0.2082386507886833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784289672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9309838,0.00046345236,0.00007710807,0.00892044,0.00064426917,0.00019117029,0.00008252839,0.000004270142,0.05863299],"genre_scores_gemma":[0.9956822,0.00034135775,0.000016738397,0.00017078969,0.0002351864,0.000028049912,0.000013042723,0.000008550456,0.003504114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989222,0.00011280722,0.00038308126,0.00022042404,0.00016332087,0.00019814627],"domain_scores_gemma":[0.9988953,0.0002849753,0.00008436512,0.00033768025,0.00037684364,0.00002082886],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00282317,0.000075350865,0.00015097903,0.00043328851,0.0000972366,0.00010778053,0.0010447346,0.000046836652,0.0016600704],"category_scores_gemma":[0.00071759487,0.00004861004,0.00008994312,0.0011209474,0.00049237476,0.00016629753,0.0002363262,0.00019426095,0.0001646556],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023527848,0.0004306578,0.4028829,0.000035945377,0.00019680365,0.000013502272,0.0014136946,0.000038195907,0.00033502243,0.5661628,0.026918022,0.0013371599],"study_design_scores_gemma":[0.00022308933,0.000022388824,0.90013736,0.00003753251,0.000003026,0.0000026724545,0.000257883,0.0028694752,0.0004922781,0.051699676,0.04416632,0.00008828092],"about_ca_topic_score_codex":0.0012485726,"about_ca_topic_score_gemma":0.0014963193,"teacher_disagreement_score":0.5144631,"about_ca_system_score_codex":0.00009069843,"about_ca_system_score_gemma":0.00003512523,"threshold_uncertainty_score":0.99925256},"labels":[],"label_agreement":null},{"id":"W2785834248","doi":"10.1109/epec.2017.8286237","title":"Real option valuation of flexibilities in the integrated planning of natural gas-fired distributed generators and natural gas distribution system","year":2017,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Natural gas; Valuation (finance); Computer science; Engineering; Business; Waste management; Finance","score_opus":0.043584817302510764,"score_gpt":0.2550029035593156,"score_spread":0.21141808625680483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785834248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961201,0.0024951657,0.00038750118,0.00013783683,0.00018670099,0.00016067427,0.00030675175,0.000012561056,0.00019272832],"genre_scores_gemma":[0.9985895,0.0003341115,0.000092335074,0.0000045470683,0.000031392217,0.000009013025,0.0008808681,0.000004502584,0.00005371329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990233,0.00003937925,0.00055091345,0.00019717554,0.00006336552,0.0001258581],"domain_scores_gemma":[0.9990478,0.000046004767,0.0005476127,0.00026980613,0.00006948714,0.000019271174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007222597,0.00010837464,0.0003157311,0.000108856235,0.00015218391,0.000097038595,0.00017715574,0.000069033355,0.000005387583],"category_scores_gemma":[0.0001326908,0.00007977506,0.00008795062,0.00014171675,0.00013104017,0.00029245863,0.000037302332,0.00010260009,0.0000019020084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000741428,0.000052421252,0.12626562,0.00008611803,0.00008417774,0.0000014961346,0.0012362126,0.00025096958,0.00080571754,0.87068266,0.00010729398,0.0003531662],"study_design_scores_gemma":[0.00083898846,0.00008380986,0.6077957,0.00009539141,0.000046462334,0.000003332368,0.0050417804,0.36702412,0.0027014383,0.016105507,0.000053140717,0.00021033178],"about_ca_topic_score_codex":0.0032083304,"about_ca_topic_score_gemma":0.00022301498,"teacher_disagreement_score":0.8545772,"about_ca_system_score_codex":0.00012093085,"about_ca_system_score_gemma":0.000012292796,"threshold_uncertainty_score":0.4850057},"labels":[],"label_agreement":null},{"id":"W2792901416","doi":"10.3390/axioms7010009","title":"Incentive Compatible Decision Making: Real Options with Adverse Incentives","year":2018,"lang":"en","type":"article","venue":"Axioms","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Incentive; Microeconomics; Capital budgeting; Maximization; Value (mathematics); Investment (military); Compensation (psychology); Economics; Capital (architecture); Business; Capital investment; Actuarial science; Public economics; Finance; Computer science","score_opus":0.024144780802163004,"score_gpt":0.25102358264641833,"score_spread":0.22687880184425532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792901416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9627174,0.0015491229,0.008558877,0.00009185264,0.00024089734,0.00014269145,0.000053279768,0.000047538902,0.026598334],"genre_scores_gemma":[0.99554765,0.0011675698,0.0020740563,0.00010635805,0.00012034517,0.000009579618,0.00002142693,0.00001458424,0.00093843427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99912333,0.000008955274,0.0002913851,0.0003167807,0.000050874616,0.00020864618],"domain_scores_gemma":[0.99939424,0.00003552268,0.00020042293,0.0002563268,0.000054749078,0.00005876538],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014761685,0.00011875678,0.00023483115,0.0002453156,0.00020277705,0.00005137784,0.00016858806,0.000050247374,0.0008170283],"category_scores_gemma":[0.000015683005,0.00010703869,0.00009021291,0.0004702052,0.00022942222,0.00028337387,0.0000732906,0.00006756438,0.001755598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007265704,0.00013127388,0.026616171,0.0000035122177,0.00011612284,0.0000049260952,0.0018241864,0.00003893839,0.000013471891,0.9698681,0.00068656646,0.0006240405],"study_design_scores_gemma":[0.0029898607,0.0012062673,0.6876241,0.00021663815,0.00012800028,0.0000082517545,0.004151725,0.04822055,0.000528378,0.23124003,0.022342982,0.0013432177],"about_ca_topic_score_codex":0.0002601954,"about_ca_topic_score_gemma":0.00029765308,"teacher_disagreement_score":0.7386281,"about_ca_system_score_codex":0.00007874539,"about_ca_system_score_gemma":0.000011460429,"threshold_uncertainty_score":0.99902165},"labels":[],"label_agreement":null},{"id":"W2793544353","doi":"10.6000/1929-7092.2018.07.11","title":"The Impact of Cash Flows and Weighted Average Cost of Capital to Enterprise Value in the Oil and Gas Sector","year":2018,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Cash flow; Economics; Capital (architecture); Business; Monetary economics; Fossil fuel; Cash; Econometrics; Financial economics; Finance; Mathematics; Statistics; Chemistry","score_opus":0.022592344215105285,"score_gpt":0.2613868830997288,"score_spread":0.23879453888462351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793544353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95401424,0.04373738,0.000011717047,0.00045966895,0.00015002995,0.00012046859,0.00012475793,6.830169e-7,0.0013810381],"genre_scores_gemma":[0.80313736,0.19637685,0.00016356626,0.00016806278,0.00011018027,0.000002565529,0.0000011603126,0.000006019773,0.00003421635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847,0.000056881127,0.0011428932,0.000144831,0.000028577953,0.00015678076],"domain_scores_gemma":[0.99845684,0.00009381733,0.0010821328,0.00022918242,0.000043694203,0.0000943405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013702221,0.00014327929,0.00069788384,0.00012384761,0.000053938285,0.00006533163,0.00025712847,0.000049604205,0.000037965787],"category_scores_gemma":[0.00010409488,0.000084699954,0.00031297526,0.00016646818,0.00010572782,0.0001411904,0.000047291942,0.00010856621,0.000019431567],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017135531,0.0012619878,0.33083946,0.0003739854,0.0021802,0.000033243865,0.013203949,0.0026046047,0.00009077808,0.4456278,0.015679413,0.18639101],"study_design_scores_gemma":[0.009143378,0.010508058,0.32213074,0.0014518399,0.00049440603,0.0005722044,0.0015462618,0.062391087,0.00022868066,0.17978793,0.4098739,0.00187153],"about_ca_topic_score_codex":0.00040435823,"about_ca_topic_score_gemma":0.00039959745,"teacher_disagreement_score":0.39419448,"about_ca_system_score_codex":0.0001766845,"about_ca_system_score_gemma":0.000030409767,"threshold_uncertainty_score":0.3453964},"labels":[],"label_agreement":null},{"id":"W2794794025","doi":"10.5430/jbar.v7n1p32","title":"A New Pricing Model for Crude Oil Pre-Sale Units via SPFO (Standard Parallel Forward with Options) in Iran","year":2018,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Christian ministry; Work (physics); Investment (military); Order (exchange); Petroleum; Black–Scholes model; Finance; Business; Petroleum industry; Energy sector; Crude oil; Economics; Environmental economics; Petroleum engineering; Environmental science; Engineering","score_opus":0.13779750633596652,"score_gpt":0.34555076428966364,"score_spread":0.20775325795369712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794794025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5137178,0.0016426423,0.47932976,0.003657034,0.0001228647,0.00025898285,0.000039014776,0.000008670012,0.0012232589],"genre_scores_gemma":[0.97169805,0.0011388168,0.022650823,0.00003924376,0.0003428953,0.000017053726,0.00001449053,0.00002175268,0.0040768706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984408,0.00003173701,0.000792946,0.00021821175,0.0002100772,0.0003062342],"domain_scores_gemma":[0.99812627,0.000101366415,0.00044136276,0.00018764401,0.000992994,0.00015034086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018975319,0.000117878735,0.00037948275,0.00087463064,0.00018556819,0.00020650717,0.00023079982,0.000088719615,0.0000980932],"category_scores_gemma":[0.0003200376,0.00010405079,0.00007967731,0.0014135563,0.00010959132,0.00056891877,0.000027704173,0.00023259046,0.000014892458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.025136115,0.0018567512,0.052118983,0.0008975873,0.0010425121,0.00016715885,0.011326505,0.12186437,0.0017938872,0.74175256,0.02155323,0.020490367],"study_design_scores_gemma":[0.008733764,0.0042168205,0.04593954,0.00047150342,0.00008479737,0.00010681307,0.0009977109,0.76851076,0.0009193852,0.15534613,0.013877642,0.00079516676],"about_ca_topic_score_codex":0.0001528227,"about_ca_topic_score_gemma":0.0011987273,"teacher_disagreement_score":0.6466464,"about_ca_system_score_codex":0.00017469084,"about_ca_system_score_gemma":0.0005448704,"threshold_uncertainty_score":0.4243068},"labels":[],"label_agreement":null},{"id":"W2794841438","doi":"10.3390/jrfm14110534","title":"Investment Decisions with Two-Factor Uncertainty","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Optimal stopping; Bellman equation; Investment (military); Function (biology); Mathematical optimization; Homogeneous; Boundary value problem; Value (mathematics); Mathematics; State space; Partial differential equation; Boundary (topology); Investment decisions; Space (punctuation); Differential (mechanical device); Economics; Mathematical economics; Computer science; Mathematical analysis; Microeconomics; Production (economics); Engineering; Statistics","score_opus":0.01781268631956082,"score_gpt":0.21185110305789645,"score_spread":0.19403841673833563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794841438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94209296,0.03220802,0.017648444,0.0004162532,0.0005409956,0.00014769714,0.0000967209,0.000011090849,0.0068378407],"genre_scores_gemma":[0.9487123,0.04204206,0.0074353623,0.0006360328,0.00020547865,0.000004515741,0.0000059802746,0.000014909676,0.0009433971],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988906,0.00001954805,0.00059346535,0.00021925989,0.00009130304,0.0001858541],"domain_scores_gemma":[0.99903244,0.00005247322,0.0005115571,0.00019034631,0.00008066366,0.00013252083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029662522,0.00013925272,0.00041567074,0.00028249144,0.00014047,0.00008978782,0.000119205135,0.00004012217,0.00013544323],"category_scores_gemma":[0.00009342626,0.00011293941,0.00017280063,0.00036469757,0.000056337132,0.00016863734,0.000081004975,0.00016756596,0.0000323485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000992489,0.00027092217,0.033867955,0.000017614091,0.00023925162,0.00037157166,0.00071686384,0.00074856414,0.0000037684824,0.92654043,0.0016966539,0.035427164],"study_design_scores_gemma":[0.0038426572,0.0004231654,0.21513766,0.00013203891,0.00029215612,0.00006969664,0.0007995623,0.00060711196,0.00006745799,0.3245285,0.4535988,0.00050120906],"about_ca_topic_score_codex":0.0000691801,"about_ca_topic_score_gemma":0.00013270484,"teacher_disagreement_score":0.6020119,"about_ca_system_score_codex":0.000070730275,"about_ca_system_score_gemma":0.000028041612,"threshold_uncertainty_score":0.46055356},"labels":[],"label_agreement":null},{"id":"W2806465643","doi":"10.5539/mas.v12n6p151","title":"The Extent of Using and Trusting Capital Budgeting Methods in Projects Appraisal in Palestinian Corporations","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital budgeting; Net present value; Payback period; Palestine; Cash flow; Accounting; Project appraisal; Business; Value (mathematics); Capital (architecture); Finance; Economics; Computer science; Microeconomics; Production (economics)","score_opus":0.07774101664755442,"score_gpt":0.3347937869828276,"score_spread":0.2570527703352732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806465643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97264975,0.00074787834,0.023820598,0.00004096025,0.000076449935,0.00015426084,0.0000027216822,0.0000063581797,0.002500993],"genre_scores_gemma":[0.96777934,0.000042032203,0.032109357,0.000013503862,0.000024492876,0.000011545879,5.539495e-7,0.0000053702447,0.0000138321975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989399,0.0000133124195,0.00042609047,0.00032906563,0.000053362615,0.00023830726],"domain_scores_gemma":[0.99940056,0.00011339214,0.00026096334,0.00016257445,0.000024639843,0.000037899612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021890872,0.00007767543,0.000186722,0.00030628077,0.00025897418,0.000087532244,0.00018319723,0.000029943312,0.0000029411497],"category_scores_gemma":[0.0002245958,0.00006766367,0.000021511323,0.0008376931,0.0007273318,0.00014785092,0.00010021308,0.00008355198,0.0000029757991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019707919,0.00010289288,0.1576729,0.000022677259,0.000010117907,0.0000015712836,0.021458704,0.0012781632,0.110218816,0.69317603,0.0000018807452,0.016036535],"study_design_scores_gemma":[0.00018220203,0.000016500497,0.04025896,0.000009929635,0.0000028115485,0.0000012392678,0.0010566601,0.9044779,0.0014435428,0.052421972,0.00001581181,0.000112464775],"about_ca_topic_score_codex":0.00040546243,"about_ca_topic_score_gemma":0.00040251142,"teacher_disagreement_score":0.90319973,"about_ca_system_score_codex":0.000054441043,"about_ca_system_score_gemma":0.000047191596,"threshold_uncertainty_score":0.27592444},"labels":[],"label_agreement":null},{"id":"W2809902275","doi":"10.1177/875697280203300106","title":"Financial Engineering in Project Management","year":2002,"lang":"en","type":"article","venue":"Project Management Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Financial engineering; Financial modeling; Finance; Financial management; Financial analysis; Financial risk; Strategic financial management; Accounting management; Engineering economics; Structured finance; Risk management; Portfolio; Cash flow; Financial ratio; Project portfolio management; Variety (cybernetics); Economics; Business; Computer science; Project management; Accounting; Marketing; Accounting information system; Strategic planning; Management","score_opus":0.03583778855896445,"score_gpt":0.21582829413823224,"score_spread":0.1799905055792678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809902275","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25667357,0.09818613,0.0038906606,0.0016485642,0.003119799,0.0041818605,0.000046418383,0.00037833923,0.6318747],"genre_scores_gemma":[0.8065726,0.10709008,0.014501707,0.00078179996,0.0008620756,0.00032880908,0.000020009527,0.00012387538,0.06971903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828446,0.000015074781,0.0007360434,0.00036900185,0.00010330645,0.0004921041],"domain_scores_gemma":[0.99944675,0.000009244025,0.000248972,0.00023827162,0.000012608984,0.000044161505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054460665,0.00021938654,0.00034665866,0.0018285359,0.00012032307,0.00022216869,0.0003331222,0.00005924091,0.00047987307],"category_scores_gemma":[0.000017267568,0.00023049036,0.00021804194,0.0009695081,0.00001960153,0.00033477574,0.0001390103,0.00028335748,0.00047034718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024594048,0.0005146954,0.010927376,0.0002335304,0.00045956395,0.00066934066,0.0011956875,0.0006244955,0.0000014534744,0.92913544,0.050030764,0.0061830804],"study_design_scores_gemma":[0.007167284,0.00038404018,0.030615743,0.00030965163,0.00020216068,0.00010997138,0.0008279105,0.11858654,0.00002196441,0.086757585,0.7531194,0.0018977185],"about_ca_topic_score_codex":0.00005901724,"about_ca_topic_score_gemma":0.000013695203,"teacher_disagreement_score":0.84237784,"about_ca_system_score_codex":0.00022908507,"about_ca_system_score_gemma":0.0000041195062,"threshold_uncertainty_score":0.9399124},"labels":[],"label_agreement":null},{"id":"W2888288899","doi":"10.5547/01956574.39.5.dtan","title":"Real Option Valuation in a Gollier/Weitzman World: The Effect of Long-Run Discount Rate Uncertainty","year":2018,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Economics; Valuation (finance); Ambiguity; Investment (military); Interest rate; Investment decisions; Econometrics; Financial economics; Capital budgeting; Actuarial science; Microeconomics; Monetary economics; Finance; Debt; Production (economics)","score_opus":0.018147969011351718,"score_gpt":0.2448528508319336,"score_spread":0.22670488182058188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888288899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932039,0.0027512545,0.00091295125,0.0009242667,0.00034999292,0.000063583466,0.0000052166674,0.000004737826,0.001784125],"genre_scores_gemma":[0.99374825,0.00348291,0.000021873238,0.00006928178,0.0004725681,0.000008728426,0.000009077164,0.00000978104,0.0021775533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989716,0.00017303816,0.0004837608,0.00013186377,0.00006484086,0.00017492952],"domain_scores_gemma":[0.9991342,0.00010671364,0.00045965172,0.00023124993,0.00003305984,0.000035137113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002559595,0.00010669773,0.00024457872,0.00026076433,0.00021181938,0.000079541234,0.0002458385,0.00003617994,0.00017764725],"category_scores_gemma":[0.000045817495,0.000058769434,0.00016186446,0.0004505856,0.00015666954,0.00014588458,0.00003602577,0.00015198643,0.00005476208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002948394,0.00006390314,0.038897123,0.00000775769,0.0002767488,0.0000043082923,0.0019076288,0.021630535,0.00026488857,0.93202794,0.0008115048,0.0038128216],"study_design_scores_gemma":[0.0029633187,0.0009364932,0.21901983,0.000110524656,0.00021785409,0.000040745294,0.00030243333,0.13960497,0.0029500246,0.6245748,0.00874683,0.0005321966],"about_ca_topic_score_codex":0.0018043602,"about_ca_topic_score_gemma":0.0040876376,"teacher_disagreement_score":0.30745316,"about_ca_system_score_codex":0.000129703,"about_ca_system_score_gemma":0.000015480226,"threshold_uncertainty_score":0.2727665},"labels":[],"label_agreement":null},{"id":"W2890325122","doi":"","title":"Nexus between Firm Level Investment and Financing Constraint Measures: A Critical Review","year":2018,"lang":"en","type":"review","venue":"Review of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cash flow; Volatility (finance); External financing; Monetary economics; Investment (military); Constraint (computer-aided design); Economics; Finance; Nexus (standard); Business","score_opus":0.18232343533331583,"score_gpt":0.31163958168001454,"score_spread":0.12931614634669872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890325122","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017483175,0.9949085,0.000034056888,0.00052723533,0.00018958058,0.0010673963,0.0014976964,0.0000107675105,0.0017472877],"genre_scores_gemma":[0.000013253158,0.9967358,0.0009207125,0.0015732573,0.00019713523,0.00014455512,0.00013530489,0.00006131392,0.00021865196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952212,0.00006986996,0.0031053536,0.0011020047,0.00004387889,0.00045772316],"domain_scores_gemma":[0.99667233,0.0002991617,0.0019913127,0.0007858277,0.00008565858,0.00016570462],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018077927,0.0006875119,0.005987873,0.0002468677,0.00014443742,0.00006803441,0.0003935901,0.00041111876,0.00007488633],"category_scores_gemma":[0.00055308477,0.0006563302,0.00093030947,0.00030622134,0.00064178207,0.00021571253,0.00025282975,0.00044555563,0.00013339313],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.788273e-7,0.000036408648,0.00001845175,0.22631662,0.00028027451,0.000003057994,0.000024740448,8.342615e-8,2.1343052e-9,0.49775103,0.0030686366,0.27249992],"study_design_scores_gemma":[0.00011079878,0.0000785446,0.00001695927,0.17123601,0.000790844,0.00002640441,0.0000023213092,0.00003123649,8.1062446e-8,0.0144527685,0.81269705,0.0005569745],"about_ca_topic_score_codex":0.00006177802,"about_ca_topic_score_gemma":0.000014724917,"teacher_disagreement_score":0.8096284,"about_ca_system_score_codex":0.00014539882,"about_ca_system_score_gemma":0.00018176416,"threshold_uncertainty_score":0.9995888},"labels":[],"label_agreement":null},{"id":"W2891525693","doi":"10.1016/j.jedc.2018.09.001","title":"Investment and uncertainty with time to build: Evidence from entry into U.S. copper mining","year":2018,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Investment (military); Construct (python library); Economics; Econometrics; Investment decisions; Copper mine; Microeconomics; Copper; Computer science; Production (economics)","score_opus":0.008700714731392322,"score_gpt":0.2066890804192722,"score_spread":0.19798836568787986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891525693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878414,0.007610114,0.0007746269,0.0025330873,0.00016176281,0.000119857235,0.00006830861,0.0000048479956,0.0008859854],"genre_scores_gemma":[0.99458987,0.001283506,0.0016815098,0.0013401689,0.0003791205,0.0000041544777,0.0000037642849,0.000016192433,0.00070174487],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988416,0.00001539761,0.00064301584,0.00027811594,0.00003327252,0.00018861397],"domain_scores_gemma":[0.99887323,0.00012092866,0.0005591078,0.00016387278,0.000049096514,0.0002337444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004205257,0.00016620016,0.0005714089,0.00022766065,0.00010079885,0.00016578149,0.00015233495,0.000064282285,0.00023554648],"category_scores_gemma":[0.000040022755,0.00014388676,0.00008728542,0.000060094397,0.00013784885,0.00032139788,0.000050465605,0.000095516865,0.00012912558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031629906,0.00036307398,0.65978783,0.000071387156,0.0054942584,0.000081506965,0.008847424,0.0064742495,0.0009408217,0.28136933,0.013678854,0.019728271],"study_design_scores_gemma":[0.006019291,0.002988164,0.04078379,0.00036465251,0.00039789095,0.00006966263,0.0008372766,0.87783796,0.000050082937,0.05798949,0.011660889,0.0010008701],"about_ca_topic_score_codex":0.000537336,"about_ca_topic_score_gemma":0.000556505,"teacher_disagreement_score":0.8713637,"about_ca_system_score_codex":0.00023074396,"about_ca_system_score_gemma":0.000043871234,"threshold_uncertainty_score":0.58675313},"labels":[],"label_agreement":null},{"id":"W2896789579","doi":"10.3905/jod.2018.26.1.109","title":"Remembering Peter Christoffersen (1967–2018)","year":2018,"lang":"en","type":"article","venue":"The Journal of Derivatives","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Bank of Canada","funders":"","keywords":"Psychology","score_opus":0.04357285033448397,"score_gpt":0.23610040258319734,"score_spread":0.19252755224871337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896789579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734116,0.007099257,0.0010880082,0.0010180423,0.0004099619,0.0000426404,0.000004436779,0.0000069485127,0.01691906],"genre_scores_gemma":[0.9959567,0.0014498348,0.0005914886,0.00023920812,0.00051798526,4.347038e-7,4.0393235e-7,0.000011210009,0.001232713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992288,0.00002526597,0.00047652662,0.000078990946,0.000045639557,0.00014479984],"domain_scores_gemma":[0.9990678,0.000060107683,0.00058715895,0.00017684672,0.0000589971,0.000049121856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006159156,0.00008931701,0.00025552927,0.00015702164,0.00013076219,0.000037703976,0.00025441044,0.000029751514,0.0004955535],"category_scores_gemma":[0.00009268185,0.00006047973,0.00014183232,0.00018868074,0.00020000465,0.00024525455,0.000047816593,0.00012256688,0.0002653203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075590936,0.0006176313,0.11845995,0.000086922926,0.00399453,0.00005085929,0.08568731,0.0002107023,0.02032684,0.688168,0.07874387,0.002897505],"study_design_scores_gemma":[0.002505522,0.0018341953,0.30073428,0.00017409177,0.00026791336,0.000249035,0.005070212,0.003041154,0.022141093,0.32246912,0.34042576,0.0010876156],"about_ca_topic_score_codex":0.000023238465,"about_ca_topic_score_gemma":0.0000108692475,"teacher_disagreement_score":0.36569884,"about_ca_system_score_codex":0.00003835086,"about_ca_system_score_gemma":0.000009154195,"threshold_uncertainty_score":0.5425963},"labels":[],"label_agreement":null},{"id":"W2897228764","doi":"10.3386/w25140","title":"The Valuation of Fisheries Rights: A Real Options Approach","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Valuation (finance); Fishery; Business; Natural resource economics; Economics; Finance; Biology","score_opus":0.4900919864581662,"score_gpt":0.462813671145785,"score_spread":0.02727831531238123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897228764","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038269055,0.014619502,0.00001828521,0.0005058741,0.000559755,0.00052247854,0.0005655697,0.000011151184,0.9793705],"genre_scores_gemma":[0.68402106,0.17264353,0.002002638,0.000017482844,0.0036859305,0.00061721046,0.003984842,0.00012358993,0.13290374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99704534,0.00012375874,0.0014840032,0.0005138062,0.00051597273,0.0003171194],"domain_scores_gemma":[0.9961503,0.0007833868,0.0011314494,0.0005044325,0.0013627076,0.00006770554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011254078,0.00018627408,0.0006557952,0.0009598142,0.0003932186,0.00011067893,0.00063126534,0.00033692035,0.00058406073],"category_scores_gemma":[0.00088754634,0.00015870454,0.00040499188,0.0003548701,0.00092105876,0.00021223664,0.0001561833,0.00037466944,0.00026504428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002716338,0.000080880236,0.00075986114,0.000054947446,0.0004043971,1.235308e-7,0.00011228058,0.0000958423,0.0000025789748,0.91937107,0.079035945,0.000054919146],"study_design_scores_gemma":[0.0001964036,0.000091606955,0.0016650882,0.000022577575,0.000022140477,0.0000021747724,0.000075681346,0.0046268753,0.0000358041,0.9253457,0.0677571,0.00015884759],"about_ca_topic_score_codex":0.009687516,"about_ca_topic_score_gemma":0.00081962266,"teacher_disagreement_score":0.8464667,"about_ca_system_score_codex":0.0011642042,"about_ca_system_score_gemma":0.0009666598,"threshold_uncertainty_score":0.99690706},"labels":[],"label_agreement":null},{"id":"W2897252265","doi":"10.19255/jmpm364","title":"A Real Options Analysis of Project Portfolios: Practitioners’ Assessment","year":2018,"lang":"en","type":"article","venue":"Journal of Modern Project Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Flexibility (engineering); Computer science; Risk analysis (engineering); Process management; Usability; Project management; Completeness (order theory); Management science; Operations research; Systems engineering; Business; Engineering; Economics","score_opus":0.05023938364208717,"score_gpt":0.31634106791526734,"score_spread":0.26610168427318015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897252265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6502262,0.011030882,0.06848199,0.0014028398,0.0012352428,0.0017913245,0.00039601594,0.00007682503,0.2653587],"genre_scores_gemma":[0.9640359,0.015487249,0.017062984,0.00008946231,0.00018053435,0.000021584523,0.000026810196,0.000020337124,0.0030751158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803007,0.0000388283,0.0012621118,0.000265393,0.00018636271,0.00021725347],"domain_scores_gemma":[0.99747735,0.000022430346,0.0019024026,0.00034672403,0.00019999388,0.00005107837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011132855,0.00015829029,0.00067925575,0.0031251593,0.00009941633,0.0000774622,0.00027529235,0.000058409893,0.00026356353],"category_scores_gemma":[0.000017370558,0.00014578091,0.00063055824,0.0017250031,0.0000864814,0.00042645604,0.000094182025,0.000137251,0.00001797809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014858716,0.0015929579,0.019147398,0.00011393407,0.024777783,0.00007008979,0.0033060452,0.0016619267,0.00011604409,0.9342097,0.012061553,0.0027940026],"study_design_scores_gemma":[0.005575746,0.0037955558,0.31649312,0.0002461057,0.019592062,0.000056195502,0.0070139705,0.36969277,0.0002561928,0.20203258,0.07340165,0.0018440499],"about_ca_topic_score_codex":0.0003912257,"about_ca_topic_score_gemma":0.00008377911,"teacher_disagreement_score":0.7321771,"about_ca_system_score_codex":0.00022518546,"about_ca_system_score_gemma":0.00006542523,"threshold_uncertainty_score":0.5944773},"labels":[],"label_agreement":null},{"id":"W2898103546","doi":"10.4236/ti.2018.94013","title":"Designing Equity Option Strategies Using Memetic Algorithms","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Computer science; Limiting; Drawdown (hydrology); Economics; Range (aeronautics); Mathematical optimization; Mathematics; Engineering","score_opus":0.07378511103467096,"score_gpt":0.28886822288419745,"score_spread":0.2150831118495265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898103546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9510037,0.014668275,0.023711564,0.0005454681,0.00021422857,0.0001770545,0.000009544105,0.00016281511,0.009507396],"genre_scores_gemma":[0.9775417,0.00043445814,0.02131215,0.00037216704,0.00007667397,0.0000144489995,0.000004880767,0.000011066932,0.00023248578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990957,0.000008100478,0.00030600224,0.000317791,0.000027134969,0.00024527477],"domain_scores_gemma":[0.99955285,0.000007779729,0.0001569613,0.00020957197,0.000023212357,0.000049625687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026807535,0.00012872231,0.00024556558,0.0005677814,0.00023288405,0.00006726925,0.00012653066,0.00016671086,0.00012303428],"category_scores_gemma":[0.00001851176,0.0001316375,0.00004523457,0.000397222,0.0005116237,0.00023662974,0.00014504835,0.00010582489,0.00014334248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027010353,0.00003122499,0.0011077444,0.0000063142706,0.000057632045,0.0000018968643,0.00014477578,0.0000082806555,0.001481707,0.996603,0.000059824823,0.0004948634],"study_design_scores_gemma":[0.00022534221,0.00019614086,0.00053668674,0.000011375012,0.000026315518,0.000008476434,0.0005189684,0.0152516,0.0053268615,0.9756339,0.002083989,0.0001803372],"about_ca_topic_score_codex":0.00009695551,"about_ca_topic_score_gemma":0.000012493324,"teacher_disagreement_score":0.026538014,"about_ca_system_score_codex":0.00007497694,"about_ca_system_score_gemma":0.000015954189,"threshold_uncertainty_score":0.5368022},"labels":[],"label_agreement":null},{"id":"W2899389743","doi":"10.36688/imej.1.35-40","title":"Strategic timing of commercial-scale tidal energy investment","year":2018,"lang":"en","type":"article","venue":"International Marine Energy Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Harrison McCain Foundation","keywords":"Option value; Valuation (finance); Cash flow; Finance; Volatility (finance); Incentive; Predictability; Business; Net present value; Investment decisions; Economics; Microeconomics; Production (economics)","score_opus":0.03746995120236821,"score_gpt":0.2358613212900605,"score_spread":0.19839137008769228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899389743","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37120068,0.002040203,0.0028631098,0.0019140602,0.0029234553,0.00002750661,0.00005354673,0.000026000298,0.61895144],"genre_scores_gemma":[0.9859814,0.0014928766,0.001078313,0.00089414924,0.0012698278,0.000003541216,0.000043353335,0.000017037088,0.00921948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988185,0.00001641655,0.0006872447,0.00018976285,0.00010684585,0.00018121618],"domain_scores_gemma":[0.9990509,0.000023143793,0.00052360387,0.00014608535,0.00014681765,0.00010945302],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000220145,0.00013193008,0.00026684557,0.00041983865,0.000105274485,0.00009325014,0.00034816467,0.000062307954,0.004601966],"category_scores_gemma":[0.000015745298,0.00013218504,0.00020479274,0.00015789102,0.00012494974,0.000208767,0.00014901196,0.000105624036,0.000058249385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002654602,0.00013015857,0.013512617,0.0000014517805,0.00025087205,0.0000078472185,0.00007454331,0.00008291178,0.00010432157,0.98163646,0.002721488,0.0014507974],"study_design_scores_gemma":[0.00095948885,0.0002692785,0.015207772,0.000023634237,0.000030468977,0.000102140206,0.000100456564,0.026229843,0.0025888924,0.8182672,0.13587749,0.00034332866],"about_ca_topic_score_codex":0.0019890699,"about_ca_topic_score_gemma":0.00070021156,"teacher_disagreement_score":0.6147807,"about_ca_system_score_codex":0.00012095675,"about_ca_system_score_gemma":0.000028887196,"threshold_uncertainty_score":0.99630797},"labels":[],"label_agreement":null},{"id":"W2899692465","doi":"10.5539/ijef.v10n12p67","title":"Financial Performance Evaluation Based on IPA——Taking XX Power Supply Bureau as an Example","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Delicacy; GRASP; Finance; Construct (python library); Power (physics); Business; Financial management; Benchmark (surveying); Operations management; Economics; Computer science","score_opus":0.0504621001975142,"score_gpt":0.2727966964410276,"score_spread":0.2223345962435134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899692465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916351,0.0010578865,0.000104010825,0.00062889437,0.0013208251,0.000077998644,0.00003439585,0.0000036735987,0.0051372573],"genre_scores_gemma":[0.9935928,0.0038124865,0.0008198063,0.0009272076,0.0006567838,0.000005064873,0.000017188228,0.000015671305,0.00015302224],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987484,0.000014302342,0.0006995831,0.0002881385,0.00007676455,0.00017276245],"domain_scores_gemma":[0.9983928,0.000037486705,0.0010547498,0.00018260277,0.0002799855,0.000052356416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008812567,0.00014886007,0.0002981661,0.00039237886,0.00011209547,0.00015222866,0.00033131248,0.00008461431,0.00050250243],"category_scores_gemma":[0.00009628459,0.00015737806,0.0001347386,0.00008279622,0.00010290482,0.000613342,0.000033637254,0.00014055868,0.000101313075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040744265,0.00027485893,0.01469646,0.0000033114475,0.00012312546,0.00000951409,0.0008091302,0.011512809,0.0000116222745,0.9526476,0.0005701631,0.018933937],"study_design_scores_gemma":[0.0026253178,0.0017692273,0.106051765,0.000088643836,0.00003518392,0.000048937534,0.000069431466,0.66080296,0.00051231956,0.16651295,0.060975038,0.0005081966],"about_ca_topic_score_codex":0.00022275861,"about_ca_topic_score_gemma":0.00007463473,"teacher_disagreement_score":0.78613466,"about_ca_system_score_codex":0.00016905284,"about_ca_system_score_gemma":0.00008777599,"threshold_uncertainty_score":0.6417691},"labels":[],"label_agreement":null},{"id":"W2907677476","doi":"10.1088/1755-1315/212/1/012058","title":"Dynamic discount rate through Ornstein-Uhlenbeck process for mining project valuation","year":2018,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Discounted cash flow; Valuation (finance); Discounting; Cash flow; Interest rate; Stochastic discount factor; Ornstein–Uhlenbeck process; Econometrics; Actuarial science; Computer science; Economics; Present value; Process (computing); Stochastic process; Mathematics; Capital asset pricing model; Finance; Statistics","score_opus":0.046749009343597395,"score_gpt":0.2587579892895762,"score_spread":0.21200897994597884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907677476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954552,0.00067186437,0.00080281054,0.00018863057,0.00015974132,0.00032715837,0.00011632104,0.00001736043,0.0022608931],"genre_scores_gemma":[0.9958261,0.0010628764,0.0012664745,0.00012079744,0.000040091192,0.000045401113,0.00003872702,0.000008848655,0.0015906292],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875045,0.0000079495685,0.00028331025,0.0005337574,0.00008343107,0.000341131],"domain_scores_gemma":[0.9995426,0.000014342502,0.00017696615,0.00017816051,0.000017235323,0.00007071306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041598422,0.00015170476,0.00021577057,0.00010128849,0.0005229994,0.00020773339,0.00019535935,0.000042788277,0.00020098849],"category_scores_gemma":[0.00003831562,0.00014155489,0.000046183035,0.00024271177,0.0013810077,0.001325528,0.00007172153,0.000045284116,0.0000654928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055720966,0.0005885867,0.050291855,0.0002801448,0.00021577747,0.000007351892,0.052336458,0.00027215612,0.10958051,0.7622388,0.00019309593,0.023438035],"study_design_scores_gemma":[0.0036035494,0.0045594224,0.24353147,0.00017883051,0.00014956588,0.000045811714,0.039239578,0.309535,0.13816199,0.2235405,0.034252692,0.0032015934],"about_ca_topic_score_codex":0.00009941381,"about_ca_topic_score_gemma":0.00021268698,"teacher_disagreement_score":0.5386983,"about_ca_system_score_codex":0.00004710775,"about_ca_system_score_gemma":0.000047933438,"threshold_uncertainty_score":0.5772441},"labels":[],"label_agreement":null},{"id":"W2911704563","doi":"10.2139/ssrn.917386","title":"A Markov Nash R&amp;D Race with Innovation Feasibility and Innovation Timing Uncertainties","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Race (biology); Markov chain; Nash equilibrium; Business; Economics; Computer science; Mathematical economics; Sociology; Machine learning","score_opus":0.029955551070182496,"score_gpt":0.23764571664091694,"score_spread":0.20769016557073444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911704563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97529835,0.01576909,0.0066390717,0.00074993586,0.000056347573,0.00010042599,0.000006362134,0.000019085712,0.0013613189],"genre_scores_gemma":[0.98930097,0.0039244364,0.00056151656,0.00008889637,0.00015078383,0.0000043615096,0.000044060238,0.000015510393,0.005909498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984062,0.000015411406,0.00056515215,0.00024085089,0.0000594496,0.00071297976],"domain_scores_gemma":[0.99919933,0.000018560153,0.00049049576,0.0001401706,0.0001341244,0.000017337925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015792828,0.0001327436,0.00023864675,0.000759365,0.00022793008,0.00013744245,0.00008757415,0.00006372736,0.000044851113],"category_scores_gemma":[0.00005770068,0.00012141713,0.00004140805,0.0015469403,0.00006711662,0.0003752501,0.000020370991,0.0005385026,0.000020019199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003681288,0.000039552906,0.093044534,0.000005539337,0.000073020514,4.032276e-7,0.000059621954,0.00006213822,0.000059175418,0.90563196,0.00014088958,0.00084633764],"study_design_scores_gemma":[0.0006929112,0.00012868791,0.020056091,0.00001051743,0.000020670925,0.0000565134,0.000352672,0.0006352975,0.000032141226,0.9741563,0.0036379767,0.00022021418],"about_ca_topic_score_codex":0.00042520883,"about_ca_topic_score_gemma":0.0014683657,"teacher_disagreement_score":0.07298844,"about_ca_system_score_codex":0.0006707282,"about_ca_system_score_gemma":0.0001833503,"threshold_uncertainty_score":0.4951247},"labels":[],"label_agreement":null},{"id":"W2913649111","doi":"10.5539/ibr.v12n3p17","title":"Real Option Analysis versus DCF Valuation - An Application to a Tunisian Oilfield","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Discounted cash flow; Economics; Investment (military); Option value; Cash flow; Flexibility (engineering); Value (mathematics); Originality; Net present value; Microeconomics; Actuarial science; Finance; Computer science; Incentive","score_opus":0.11850388847229826,"score_gpt":0.3788507741597318,"score_spread":0.2603468856874335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913649111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600716,0.00011687687,0.010368057,0.0029556772,0.00047365951,0.00032049103,0.000055774282,0.00003367787,0.025604151],"genre_scores_gemma":[0.9947925,0.00041825575,0.00060892076,0.000054686887,0.00023802965,0.00008660511,0.0005951515,0.000013779614,0.003192055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985695,0.000045918223,0.0003732914,0.0004992337,0.00028931224,0.00022277143],"domain_scores_gemma":[0.9987,0.00010392097,0.00011587743,0.0004172574,0.00056090695,0.00010202004],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013484128,0.000096003176,0.00021480108,0.001778233,0.00009861398,0.00022382927,0.0004311157,0.00008793959,0.0012421585],"category_scores_gemma":[0.00017855174,0.00010694127,0.00011071476,0.0023922762,0.000031702315,0.00049368123,0.0001031096,0.00013578233,0.0034387778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005239072,0.000328392,0.10224545,0.000014418054,0.00085027405,0.0000023883988,0.0008313433,0.017967585,0.0017901963,0.8721522,0.00037807287,0.0029157868],"study_design_scores_gemma":[0.00090760546,0.00014790177,0.7168717,0.000008515025,0.0000533884,5.18664e-7,0.0003556464,0.22928603,0.00018375812,0.040235095,0.011642255,0.0003076044],"about_ca_topic_score_codex":0.0046238997,"about_ca_topic_score_gemma":0.00068995927,"teacher_disagreement_score":0.8319171,"about_ca_system_score_codex":0.00028742352,"about_ca_system_score_gemma":0.000029736311,"threshold_uncertainty_score":0.99967086},"labels":[],"label_agreement":null},{"id":"W2916564392","doi":"","title":"Value of a clear desk: sequencing decisions when decision capacity is limited","year":2018,"lang":"en","type":"preprint","venue":"BIROn (Birkbeck, University of London)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Ottawa","keywords":"Postponement; Incentive; Value (mathematics); Desk; Microeconomics; Generalization; Optimal decision; Economics; Deferral; Business decision mapping; Business; Decision analysis; Actuarial science; Operations research; Operations management; Computer science; Engineering; Finance; Mathematical economics; Mathematics; Artificial intelligence","score_opus":0.06620016610600424,"score_gpt":0.21178444956981302,"score_spread":0.14558428346380878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916564392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98388034,0.003111506,0.0072706523,0.00021660053,0.00036904367,0.00032356248,0.0008713346,0.00005140544,0.0039055361],"genre_scores_gemma":[0.9561657,0.009595328,0.031657528,0.00011085862,0.00009207762,6.9031046e-7,0.00009547283,0.00005021657,0.0022321434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99759126,0.000055686756,0.000889218,0.00090394984,0.00019754007,0.00036233844],"domain_scores_gemma":[0.9967279,0.00023173903,0.0014427687,0.0011563515,0.00023459773,0.0002066607],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006230631,0.00037592388,0.0012368371,0.0010599236,0.00022681567,0.000044496006,0.001007338,0.00059977366,0.0022005127],"category_scores_gemma":[0.00021261864,0.00047007276,0.0009455307,0.00038345644,0.0004996472,0.00025520966,0.001099739,0.00045146895,0.00074606045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033114313,0.0029949087,0.23879692,0.0015968384,0.006140309,0.00021167187,0.05227525,0.009722595,0.0017486658,0.5825596,0.09050249,0.010139313],"study_design_scores_gemma":[0.005786455,0.0011995418,0.14441648,0.00209016,0.0013614579,0.000014872918,0.0037228102,0.06995392,0.0032717518,0.7011664,0.0637528,0.0032633971],"about_ca_topic_score_codex":0.012426973,"about_ca_topic_score_gemma":0.00082057115,"teacher_disagreement_score":0.11860676,"about_ca_system_score_codex":0.0005266433,"about_ca_system_score_gemma":0.00014401636,"threshold_uncertainty_score":0.9997751},"labels":[],"label_agreement":null},{"id":"W2925657488","doi":"10.2139/ssrn.3285921","title":"Patent-to-Market Premium","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Business","score_opus":0.02209741516769191,"score_gpt":0.20958142512923209,"score_spread":0.1874840099615402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2925657488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84633607,0.05762837,0.008654908,0.00420807,0.0015330323,0.00028264627,0.000032950542,0.00008334094,0.0812406],"genre_scores_gemma":[0.95992696,0.012171619,0.00015284798,0.0003811444,0.00082915067,0.0000046978826,0.0000029792352,0.000023713008,0.02650687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977055,0.000015040208,0.00041989665,0.00025576702,0.00005014148,0.0015536422],"domain_scores_gemma":[0.9993874,0.000012229683,0.00020672627,0.000205232,0.00005106529,0.0001373403],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00131907,0.00013131353,0.00024815358,0.00030002123,0.00021654545,0.00009511155,0.00028231813,0.00006356715,0.0011590084],"category_scores_gemma":[0.000058027123,0.00012743527,0.00018897688,0.00032747767,0.000050031234,0.00018563302,0.000046504232,0.00055099104,0.0024385701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030827614,0.000048949634,0.01341843,0.0000014463199,0.00020793929,0.0000012693921,0.00018904614,0.0000033985712,0.000029065955,0.98071355,0.0041964683,0.0011595855],"study_design_scores_gemma":[0.00042803303,0.00044461477,0.0040223417,0.000006525206,0.00002177078,0.000051983272,0.00031025655,0.0007410247,0.00008023527,0.93925077,0.054380465,0.0002620067],"about_ca_topic_score_codex":0.00013430932,"about_ca_topic_score_gemma":0.0005540005,"teacher_disagreement_score":0.1135909,"about_ca_system_score_codex":0.0005484998,"about_ca_system_score_gemma":0.00015566261,"threshold_uncertainty_score":0.9997541},"labels":[],"label_agreement":null},{"id":"W2938646954","doi":"10.1287/msom.2019.0814","title":"Managing Capital Market Frictions via Cost-Reduction Investments","year":2020,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economics; Microeconomics; Cash flow; Production (economics); Profit (economics); Cost reduction; Profit maximization; Discounted cash flow; Investment (military); Investment decisions; Cost of capital; Industrial organization; Finance","score_opus":0.02717846338270824,"score_gpt":0.20979622786732313,"score_spread":0.1826177644846149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938646954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66153604,0.0042419555,0.054018565,0.07884961,0.0023951551,0.004062417,0.00027515594,0.0009725033,0.19364859],"genre_scores_gemma":[0.9811938,0.0013429559,0.003936967,0.0056700124,0.00027257882,0.0002757775,0.0002476736,0.000054089563,0.0070061875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983371,0.000021995498,0.00057940837,0.0006315691,0.00009233524,0.0003376194],"domain_scores_gemma":[0.999249,0.000006738706,0.00013091866,0.00039438103,0.00002837501,0.000190592],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015747079,0.00025935273,0.00029036088,0.00032754746,0.000519163,0.00033637008,0.00030978685,0.00005933677,0.0019715338],"category_scores_gemma":[0.000004005745,0.00030147607,0.00014302743,0.00044062172,0.000025181622,0.0006384196,0.00022397042,0.00015774005,0.002421312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080623104,0.00096799654,0.0015273244,0.00074453413,0.0030690134,0.00007751996,0.012824846,0.23353429,0.00019990154,0.7027464,0.03263861,0.01158893],"study_design_scores_gemma":[0.0035844957,0.00022100644,0.04136028,0.000087548484,0.00067186105,0.000021126878,0.008251716,0.5861972,0.0042497218,0.08147129,0.2710612,0.0028225807],"about_ca_topic_score_codex":0.0007425714,"about_ca_topic_score_gemma":0.00015151722,"teacher_disagreement_score":0.6212751,"about_ca_system_score_codex":0.00018535664,"about_ca_system_score_gemma":0.000005350953,"threshold_uncertainty_score":0.99994373},"labels":[],"label_agreement":null},{"id":"W2943264476","doi":"10.1016/j.tranpol.2019.04.012","title":"Why are regional jets less used in emerging economies? A real options valuation approach and policy implications","year":2019,"lang":"en","type":"article","venue":"Transport Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Hong Kong Polytechnic University","keywords":"Remotely operated underwater vehicle; Valuation (finance); China; Emerging markets; Business; Economics; Economy; Finance; Computer science; Geography","score_opus":0.07743066355988124,"score_gpt":0.27869799206421,"score_spread":0.20126732850432874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943264476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764621,0.0012341681,0.00030717754,0.010764082,0.00003028498,0.00033239796,0.00018192802,0.00003678633,0.010651042],"genre_scores_gemma":[0.9926439,0.0046960753,0.0003561968,0.0007737512,0.00017377736,0.00007562363,0.0002617014,0.000023975426,0.0009950357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987024,0.000012560918,0.00054277916,0.00042694714,0.00003499898,0.00028028144],"domain_scores_gemma":[0.999292,0.000020787,0.00024876423,0.00031768324,0.000020021655,0.0001007517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002378245,0.00015912992,0.0003802218,0.0010334441,0.00009653459,0.000037647038,0.00014035404,0.000103678045,0.00007592731],"category_scores_gemma":[0.000007723268,0.0001880801,0.00014141135,0.00065036106,0.000066051536,0.00032076784,0.000013612419,0.00011437518,0.000083282575],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047815165,0.00006779861,0.30591166,0.000017637989,0.00003278713,2.1913256e-7,0.0009718341,0.0009192215,0.00001501916,0.6918892,0.000088266264,0.00008154862],"study_design_scores_gemma":[0.0007242574,0.000017363287,0.9053017,0.000010825312,0.000016785283,0.0000028412917,0.00040803474,0.0043434696,0.000004415842,0.0850739,0.0038455082,0.0002508827],"about_ca_topic_score_codex":0.017316552,"about_ca_topic_score_gemma":0.002062159,"teacher_disagreement_score":0.60681534,"about_ca_system_score_codex":0.00019325926,"about_ca_system_score_gemma":0.00007083327,"threshold_uncertainty_score":0.98922724},"labels":[],"label_agreement":null},{"id":"W2945905208","doi":"","title":"Per-Decision Option Discounting","year":2019,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Discounting; Computer science; Economics; Actuarial science; Finance","score_opus":0.03633236734184508,"score_gpt":0.26806036843716696,"score_spread":0.23172800109532188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945905208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85945517,0.000492635,0.002528334,0.0012170142,0.00072124676,0.00008308177,0.000021981672,0.00004914617,0.13543141],"genre_scores_gemma":[0.9852983,0.00039957286,0.0004890535,0.00015698036,0.00009191606,0.000004799695,0.00009678069,0.000013942432,0.013448656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911106,0.0000120142195,0.00032237527,0.00032261442,0.00009429632,0.00013766038],"domain_scores_gemma":[0.9995066,0.000043534637,0.00023468689,0.00013149017,0.00004690304,0.000036812904],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002738867,0.00011555063,0.00018740668,0.00027670132,0.000067639885,0.00018653246,0.00022549812,0.00005010855,0.008506565],"category_scores_gemma":[0.00008105195,0.00011487376,0.00011748803,0.000086064334,0.000017795788,0.00026484256,0.000063608975,0.00027184442,0.007564342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023295821,0.000029856243,0.1061988,0.0000026128916,0.00003655489,0.0000011076644,0.00013562958,0.0021363487,0.00024885032,0.88930416,0.00002263001,0.0018601506],"study_design_scores_gemma":[0.0006218236,0.00012760672,0.036839314,0.000056178156,0.000005861836,0.0000022473544,0.00018713842,0.8190229,0.00005320273,0.11534734,0.027422883,0.00031350253],"about_ca_topic_score_codex":0.00024739502,"about_ca_topic_score_gemma":0.000018891911,"teacher_disagreement_score":0.81688654,"about_ca_system_score_codex":0.00007428921,"about_ca_system_score_gemma":0.000006823447,"threshold_uncertainty_score":0.9932084},"labels":[],"label_agreement":null},{"id":"W2946414656","doi":"10.5539/emr.v8n1p44","title":"Assessment of the Profitability of an Apartment Building Complex Using a Stochastic Cash-Flow","year":2019,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cash flow; Profitability index; Apartment; Cash; Work (physics); Fraction (chemistry); Actuarial science; Mathematics; Economics; Econometrics; Business; Finance; Engineering","score_opus":0.09251240780192939,"score_gpt":0.33613830117418886,"score_spread":0.24362589337225948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946414656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900202,0.00031258713,0.0073231957,0.000046840243,0.00012895853,0.00071898306,0.000022477325,0.000012541144,0.0014141968],"genre_scores_gemma":[0.9884967,0.000024396324,0.011131107,0.0000037425084,0.000019384017,0.00002444333,0.0000058025375,0.000015081344,0.00027929468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987347,0.00004143895,0.0004358956,0.00029669152,0.00019791738,0.000293342],"domain_scores_gemma":[0.9991068,0.00006531556,0.00012884769,0.0006002063,0.000050545656,0.000048262256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989516,0.00010423969,0.00029611468,0.00039884675,0.00006132279,0.00003235366,0.00035920006,0.000031942192,0.00018099815],"category_scores_gemma":[0.000032472988,0.00009221712,0.00012400073,0.0006267282,0.000058886006,0.00011689386,0.00029756982,0.00015282273,0.000010942896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006457687,0.00018720969,0.0141625265,0.00035017767,0.00019867324,9.415262e-7,0.00012869875,0.5253221,0.0021477758,0.45736605,0.000019024254,0.00011039699],"study_design_scores_gemma":[0.00024316444,0.0000620446,0.12724406,0.00004042464,0.000013060816,2.943224e-7,0.00010197554,0.8695514,0.00023063867,0.0022171773,0.00019718567,0.00009854975],"about_ca_topic_score_codex":0.00019783789,"about_ca_topic_score_gemma":0.000004073168,"teacher_disagreement_score":0.45514888,"about_ca_system_score_codex":0.00021963909,"about_ca_system_score_gemma":0.00001269576,"threshold_uncertainty_score":0.3760505},"labels":[],"label_agreement":null},{"id":"W2946434886","doi":"10.3917/rfe.184.0049","title":"Erreurs méthodologiques dans l’évaluation des projets d’investissement","year":2019,"lang":"fr","type":"article","venue":"Revue française d économie","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.06886594388316698,"score_gpt":0.24848599606204913,"score_spread":0.17962005217888216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946434886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84121925,0.12882447,0.0010692446,0.0034011505,0.0032324344,0.00093188597,0.00019124786,0.0000792363,0.021051075],"genre_scores_gemma":[0.72515255,0.050052784,0.025552565,0.0007297335,0.0011433354,0.00018074174,0.00028167755,0.00013945198,0.19676715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967517,0.00013471136,0.0012987624,0.0010398962,0.000053539443,0.00072134135],"domain_scores_gemma":[0.99787027,0.00024100118,0.0007477707,0.00083764695,0.000081202925,0.00022214078],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017365281,0.00046440255,0.0010589827,0.00045780823,0.00022282623,0.00025191478,0.00043894944,0.00043983088,0.003727941],"category_scores_gemma":[0.000233435,0.00059683766,0.0005798502,0.00044755958,0.00039174317,0.00093168084,0.00014255999,0.00034961078,0.009100257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000459591,0.00044227936,0.30222365,0.00069859193,0.00054670416,0.000022200673,0.008041434,0.0032614816,0.00016838468,0.65129197,0.0047119963,0.028545348],"study_design_scores_gemma":[0.0026862733,0.0011366721,0.1693136,0.0010114459,0.00056216115,0.000055279823,0.001720525,0.12321606,0.0015126133,0.3133936,0.38285437,0.0025374333],"about_ca_topic_score_codex":0.003278341,"about_ca_topic_score_gemma":0.0010946498,"teacher_disagreement_score":0.37814236,"about_ca_system_score_codex":0.00071686116,"about_ca_system_score_gemma":0.0001245865,"threshold_uncertainty_score":0.9996483},"labels":[],"label_agreement":null},{"id":"W2946489467","doi":"10.1080/13504851.2019.1616049","title":"Evaluating real estate development project with Monte Carlo based binomial options pricing model","year":2019,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Real estate; Binomial options pricing model; Monte Carlo method; Econometrics; Value (mathematics); Economics; Valuation of options; Option value; Binomial theorem; Present value; Capitalization rate; Mathematics; Statistics; Microeconomics; Finance; Real estate investment trust","score_opus":0.05431747457081746,"score_gpt":0.2440469559557728,"score_spread":0.18972948138495535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946489467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882155,0.00004441811,0.0011784183,0.0003782565,0.00010588013,0.0006573569,0.00003647372,0.000062022584,0.009321658],"genre_scores_gemma":[0.9583401,0.000338476,0.039514553,0.0010701391,0.00006486272,0.00017618806,0.0000695183,0.000067120476,0.00035903472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980851,0.000008130716,0.0007136721,0.00070549943,0.000042307063,0.00044533508],"domain_scores_gemma":[0.99897295,0.00004159767,0.00046544988,0.00042271375,0.000015311509,0.000081981205],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050225254,0.00028391703,0.00050697685,0.00041424166,0.00017531896,0.00014895193,0.00023724725,0.00007853822,0.00005436162],"category_scores_gemma":[0.0000034225566,0.000306117,0.00012675942,0.00018159953,0.000053385433,0.00022242201,0.000063422915,0.00016837288,0.0004683456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077373385,0.0000519091,0.008206123,0.000027907678,0.00020064737,8.7454686e-7,0.0012681979,0.9557303,0.000599567,0.032729957,0.00014795519,0.0009591933],"study_design_scores_gemma":[0.0017826416,0.000053590247,0.0026729787,0.000011676244,0.000039752704,0.0000010910329,0.00020115694,0.9925819,0.00046632913,0.000499857,0.0010000046,0.0006890257],"about_ca_topic_score_codex":0.0006040062,"about_ca_topic_score_gemma":0.00025381902,"teacher_disagreement_score":0.038336135,"about_ca_system_score_codex":0.00048092284,"about_ca_system_score_gemma":0.00012944601,"threshold_uncertainty_score":0.9999391},"labels":[],"label_agreement":null},{"id":"W2946505436","doi":"","title":"Nonlinear exchange rate pass-through in timber products: the case of oriented strand board in Canada and the United States","year":2012,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exchange-rate pass-through; Exchange rate; Product (mathematics); Oriented strand board; Economics; Work (physics); Econometrics; Business; Monetary economics; Engineering; Mathematics; Structural engineering; Mechanical engineering","score_opus":0.023181802166543176,"score_gpt":0.1958954447250392,"score_spread":0.17271364255849603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946505436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844794,0.008979953,0.00002429697,0.0022465086,0.000116236275,0.00062204024,0.0020399636,0.000007247681,0.0014843221],"genre_scores_gemma":[0.957393,0.039555196,0.0010029903,0.00016889651,0.0000424564,0.000004378781,0.0006425284,0.000032416567,0.0011581404],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788356,0.00037061135,0.0006646794,0.0005640347,0.00010505469,0.00041206952],"domain_scores_gemma":[0.9977698,0.00044358653,0.00074031303,0.0008467319,0.00010256545,0.00009705501],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010399023,0.00033615867,0.00092793966,0.00035484048,0.00018691599,0.000020158495,0.000660752,0.00012924788,0.00017638698],"category_scores_gemma":[0.00012313966,0.00029012904,0.0002139468,0.0005784473,0.0010106043,0.00013642447,0.000995256,0.00085180084,0.0000035769917],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006706448,0.0023119263,0.21978086,0.004088521,0.0049451455,0.0033056596,0.61894256,0.014844177,0.00003578968,0.11567642,0.007113418,0.0022490972],"study_design_scores_gemma":[0.019615283,0.0003009103,0.12623708,0.001193972,0.0010027678,0.00015811126,0.20395204,0.46460888,0.000066471344,0.045738526,0.13423428,0.0028916597],"about_ca_topic_score_codex":0.97706187,"about_ca_topic_score_gemma":0.96681416,"teacher_disagreement_score":0.4497647,"about_ca_system_score_codex":0.0003500959,"about_ca_system_score_gemma":0.00030989526,"threshold_uncertainty_score":0.99995506},"labels":[],"label_agreement":null},{"id":"W2948541740","doi":"10.3390/w11061203","title":"Effects of Short-Term Uncertainties on the Revenue Estimation of PPP Sewage Treatment Projects","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subsidy; Revenue; Term (time); Government revenue; Estimation; Economics; Government (linguistics); Econometrics; Monte Carlo method; Finance; Statistics; Mathematics; Physics","score_opus":0.021325042544892456,"score_gpt":0.21243637067029056,"score_spread":0.1911113281253981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948541740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99766344,0.00058705354,0.000007733874,0.00014935435,0.00009711453,0.00028194356,0.000023147044,0.000004116872,0.0011861243],"genre_scores_gemma":[0.9958475,0.00021159921,0.000027690554,0.000026068863,0.0000159889,0.000020978903,0.00001764592,0.0000069348584,0.0038255476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995379,0.000010822564,0.00021093423,0.0001226628,0.00002440869,0.00009327196],"domain_scores_gemma":[0.99967504,0.000037773865,0.00008030838,0.00018723716,0.000008637341,0.00001102389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010038332,0.00007500405,0.00021756331,0.00008909489,0.000020871059,0.000011748828,0.000065364686,0.000032195614,0.00010300158],"category_scores_gemma":[0.0000075037647,0.00004175921,0.000109654175,0.000053454052,0.000029741448,0.000052150986,0.000015237851,0.000025191895,0.00023602806],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026091325,0.001721956,0.2264997,0.0014763592,0.0019048307,0.00001419839,0.0408492,0.0064880275,0.03847542,0.67428124,0.0026416115,0.005386518],"study_design_scores_gemma":[0.0011326792,0.0014112473,0.059861902,0.00016801043,0.00014275259,0.0000010209616,0.00023323705,0.01352614,0.88431484,0.03574231,0.0030598885,0.0004059505],"about_ca_topic_score_codex":0.00020954046,"about_ca_topic_score_gemma":0.000010599848,"teacher_disagreement_score":0.84583944,"about_ca_system_score_codex":0.000036193593,"about_ca_system_score_gemma":0.0000031463758,"threshold_uncertainty_score":0.3033742},"labels":[],"label_agreement":null},{"id":"W2950632727","doi":"10.82308/13883","title":"Modeling commodity prices for valuation and hedging of mining projects subjected to volatile markets","year":2017,"lang":"fr","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Speculation; Valuation (finance); Commodity; Commodity swap; Price discovery; Economics; Business; Financial economics; Commodity market; Stock (firearms); Finance; Commerce; Futures contract; Engineering","score_opus":0.07443753382851052,"score_gpt":0.2637151658726256,"score_spread":0.18927763204411507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950632727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854504,0.0071272748,0.00008463254,0.00034011735,0.0008898216,0.0011636204,0.0017592348,0.000036594338,0.0031483131],"genre_scores_gemma":[0.98619246,0.0015668134,0.010045063,0.00012116468,0.000071794486,0.00013008545,0.000072797586,0.00007176028,0.0017280807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708617,0.00008573248,0.0011564406,0.0009022014,0.00014622751,0.0006232594],"domain_scores_gemma":[0.9972229,0.00027776178,0.0010940194,0.0008166921,0.00033597357,0.00025262448],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002157865,0.00040001614,0.0009068426,0.00052992906,0.0019444072,0.0003773733,0.00051732175,0.00032402552,0.000104338775],"category_scores_gemma":[0.001972642,0.0005095463,0.0003233978,0.00028990066,0.00013758214,0.0018766114,0.00038870113,0.0003000822,0.00004301018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047188447,0.0008295432,0.027727582,0.0020540145,0.0014360746,0.0000104261135,0.0006122374,0.0047146645,0.0067181317,0.7727837,0.000048536003,0.18259318],"study_design_scores_gemma":[0.002405407,0.000428591,0.029328283,0.0008344303,0.00043989066,0.0000075234907,0.0007485175,0.81305707,0.0067297257,0.1386204,0.00599589,0.0014042996],"about_ca_topic_score_codex":0.0024522562,"about_ca_topic_score_gemma":0.0014745864,"teacher_disagreement_score":0.8083424,"about_ca_system_score_codex":0.00036409992,"about_ca_system_score_gemma":0.0000281876,"threshold_uncertainty_score":0.9997356},"labels":[],"label_agreement":null},{"id":"W2951097169","doi":"10.2139/ssrn.3066960","title":"Can Irrelevant Benchmark Information Help When Making Business Decisions Under Uncertainty? An Empirical Investigation of the Newsvendor Game","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Newsvendor model; Benchmark (surveying); Empirical research; Economics; Econometrics; Computer science; Actuarial science; Business; Marketing; Mathematics; Statistics; Supply chain","score_opus":0.037689639332503355,"score_gpt":0.2649974731783215,"score_spread":0.22730783384581815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951097169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98287517,0.003468443,0.0039132205,0.008394759,0.00042684952,0.00014676931,0.000021031574,0.00000920371,0.0007445712],"genre_scores_gemma":[0.99564886,0.0034310578,0.000107419706,0.0003453814,0.00011118546,0.000004203457,0.000018174393,0.0000107843625,0.00032292947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983489,0.000036018744,0.0006746338,0.00015612388,0.00010100805,0.0006832952],"domain_scores_gemma":[0.99819565,0.000038968068,0.001103381,0.00047367995,0.00012486568,0.00006343795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011387774,0.00013552984,0.00027558688,0.0002643706,0.0006087083,0.00029558182,0.0005980964,0.00009479752,0.000045870383],"category_scores_gemma":[0.00030721666,0.00010433689,0.00017701124,0.0002150289,0.00016704189,0.000955944,0.00009103235,0.0006058664,0.000021818554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034643344,0.00003475523,0.087227486,0.0000056398903,0.00018748452,3.0501425e-7,0.0009148853,0.0025566542,0.000030310483,0.9055737,0.00023092068,0.0032032037],"study_design_scores_gemma":[0.00037388084,0.00004227834,0.18280467,0.00003137909,0.000033955923,0.0000152061075,0.0008469799,0.0051455316,0.000013689014,0.8096745,0.0009019545,0.00011598806],"about_ca_topic_score_codex":0.001037413,"about_ca_topic_score_gemma":0.005420483,"teacher_disagreement_score":0.09589923,"about_ca_system_score_codex":0.0006802083,"about_ca_system_score_gemma":0.0006409132,"threshold_uncertainty_score":0.46817535},"labels":[],"label_agreement":null},{"id":"W2951234042","doi":"10.1108/jdqs-02-2008-b0001","title":"Implied Risk Preferences from Option Prices: Evidence from KOSPI 200 Index Options","year":2008,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Economics; Econometrics; Risk aversion (psychology); Robustness (evolution); Expected utility hypothesis; Actuarial science; Financial economics","score_opus":0.1731675219537222,"score_gpt":0.317631605506373,"score_spread":0.14446408355265078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951234042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7766886,0.21789189,0.004500003,0.00037581872,0.00019138011,0.00007916208,0.00014879706,0.0000066859934,0.00011766694],"genre_scores_gemma":[0.721552,0.268722,0.009502655,0.000045866444,0.00010773579,0.0000049333016,0.0000050553926,0.000008026326,0.000051726136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984793,0.00006406617,0.00088462443,0.00029918022,0.000098617085,0.00017420642],"domain_scores_gemma":[0.99717015,0.00079740834,0.0015738198,0.00013061753,0.00024262886,0.00008535402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033667238,0.00020297995,0.0007513103,0.0002572151,0.00040126298,0.000059086382,0.00016596519,0.00006219344,0.00008334876],"category_scores_gemma":[0.0006426203,0.0001621171,0.000194751,0.0003070669,0.0003977024,0.00088766206,0.000087344524,0.00023386392,0.000029242838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002696332,0.00023838207,0.83958364,0.000024528195,0.0043839775,0.000020920254,0.05155222,0.00041584423,0.00028838686,0.101327196,0.0012804285,0.0006148397],"study_design_scores_gemma":[0.0005859861,0.00047441968,0.78672427,0.0001412723,0.00010868196,0.0000029081768,0.015339656,0.0013125351,0.00006438515,0.19448034,0.00051891804,0.0002466163],"about_ca_topic_score_codex":0.0008580549,"about_ca_topic_score_gemma":0.00011407994,"teacher_disagreement_score":0.09315315,"about_ca_system_score_codex":0.00006128337,"about_ca_system_score_gemma":0.000024898744,"threshold_uncertainty_score":0.6610943},"labels":[],"label_agreement":null},{"id":"W2951629248","doi":"10.1109/esem.2019.8870161","title":"Temporal Discounting in Software Engineering: A Replication Study","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Blekinge Tekniska Högskola; Agència per a la Competitivitat de l’Empresa; Generalitat de Catalunya; European Commission","keywords":"Discounting; Temporal discounting; Intertemporal choice; Replication (statistics); Variance (accounting); Empirical research; Technical debt; Relevance (law); Observational study; Software; Computer science; Psychology; Econometrics; Actuarial science; Economics; Software development; Statistics; Mathematics; Accounting; Finance; Political science","score_opus":0.037830082534586584,"score_gpt":0.24162728505946515,"score_spread":0.20379720252487857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951629248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921802,0.0029932503,0.0018109211,0.00014705143,0.0004048321,0.0007428739,0.00004596319,0.00008569741,0.0015891887],"genre_scores_gemma":[0.9946971,0.0002145499,0.0013138963,0.000039344388,0.00008246973,0.00010180207,0.00015123609,0.000030384395,0.0033691947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818546,0.000006627833,0.00074857415,0.0008284517,0.000038669663,0.00019221069],"domain_scores_gemma":[0.9985512,0.000026358686,0.00036867277,0.0010024308,0.000016684926,0.000034652785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005729762,0.00020683095,0.0005586319,0.00052306073,0.000021542353,0.00013524665,0.00027602102,0.00015674309,0.00019547579],"category_scores_gemma":[0.00014866026,0.00022398574,0.00017623322,0.00022532004,0.000009011433,0.00011926892,0.00036166256,0.0003327325,0.0004217095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025605916,0.00021583059,0.95866597,0.000059398917,0.000086115244,0.0000023303007,0.0005545528,0.0056102597,6.6750266e-7,0.034525864,0.00022821236,0.000048241378],"study_design_scores_gemma":[0.000795456,0.00008939522,0.8098455,0.00008019042,0.000043260363,6.8742344e-7,0.00061436865,0.15917291,0.000009711845,0.02443988,0.0038400767,0.0010685531],"about_ca_topic_score_codex":0.003432352,"about_ca_topic_score_gemma":0.00032393413,"teacher_disagreement_score":0.15356265,"about_ca_system_score_codex":0.00016145308,"about_ca_system_score_gemma":0.000018195244,"threshold_uncertainty_score":0.91338736},"labels":[],"label_agreement":null},{"id":"W2952451200","doi":"10.1111/1911-3846.12548","title":"Does Other Comprehensive Income Volatility Influence Credit Risk and the Cost of Debt?","year":2019,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Debt; Credit risk; Economics; Monetary economics; Business; Actuarial science; Financial economics; Finance","score_opus":0.045689112632275306,"score_gpt":0.288821794872915,"score_spread":0.24313268224063966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952451200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795612,0.0127437515,0.000014044047,0.00050115463,0.00012950777,0.00062459125,0.00012726111,0.0000148021245,0.00628365],"genre_scores_gemma":[0.9974694,0.00090440776,0.000033529283,0.000104647894,0.00006977615,0.000024101244,0.0000068116915,0.000015892445,0.001371427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840236,0.00018528379,0.0006013833,0.0003950894,0.00014568567,0.00027017415],"domain_scores_gemma":[0.9975048,0.0012381041,0.0004016913,0.0005501084,0.00025095936,0.000054372154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004021119,0.00012697095,0.00048512066,0.00029563892,0.00023448057,0.00015208621,0.00038862095,0.00008796327,0.00023406345],"category_scores_gemma":[0.00064933806,0.00007571638,0.000121739904,0.00048875634,0.00074424513,0.00050767395,0.00030040578,0.00042560272,0.00020938976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016251706,0.000025250572,0.94922197,0.00006542312,0.00008202406,6.227086e-7,0.00053629465,0.000013138319,0.000044973174,0.049439307,0.00028988195,0.00011860143],"study_design_scores_gemma":[0.0023243292,0.000065995904,0.85177857,0.00008631858,0.000009267284,6.3757886e-7,0.0009745921,0.021514835,0.00016107937,0.0862997,0.03653087,0.00025379178],"about_ca_topic_score_codex":0.0065626595,"about_ca_topic_score_gemma":0.0000693934,"teacher_disagreement_score":0.09744339,"about_ca_system_score_codex":0.00003406924,"about_ca_system_score_gemma":0.000040095987,"threshold_uncertainty_score":0.9920822},"labels":[],"label_agreement":null},{"id":"W2952572086","doi":"10.1016/j.physa.2019.121883","title":"Robustness analysis on the pricing of some options on two assets with delays","year":2019,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Robustness (evolution); Stochastic game; Valuation of options; Stochastic differential equation; Computer science; Asset (computer security); Econometrics; Mathematical optimization; Economics; Mathematics; Mathematical economics; Applied mathematics","score_opus":0.021055351770302322,"score_gpt":0.23962881872932296,"score_spread":0.21857346695902063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952572086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2768879,0.00080601324,0.71423686,0.0023725603,0.000041750758,0.001218602,0.0017552399,0.000038642793,0.0026424718],"genre_scores_gemma":[0.99793684,0.00032139168,0.0012367641,0.00013805882,0.000027452843,0.00014870982,0.00006730486,0.000012961577,0.00011053651],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991536,0.000013221666,0.0002827447,0.00033417548,0.000067809735,0.00014844841],"domain_scores_gemma":[0.9990315,0.0003169897,0.00020832082,0.00033551973,0.000044446453,0.000063254374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014362726,0.00012166243,0.00033468296,0.00016308669,0.0001359419,0.000040947347,0.0001327033,0.00002720208,0.0001346202],"category_scores_gemma":[0.000018203937,0.00008769986,0.00008375594,0.000649542,0.000022881848,0.00006539259,0.000031255862,0.0001126218,0.000112342925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007978734,0.00018176516,0.000051307645,0.000009618482,0.00028996082,1.2221177e-7,0.000031316133,0.007608833,0.0000776499,0.99157774,0.00003326001,0.0001304427],"study_design_scores_gemma":[0.00022447525,0.00018047371,0.0009631337,0.0000092441305,0.000261773,2.190891e-7,0.00005485164,0.691139,0.00018275724,0.3064944,0.00031727497,0.00017237585],"about_ca_topic_score_codex":0.000034997873,"about_ca_topic_score_gemma":0.000010622497,"teacher_disagreement_score":0.72104895,"about_ca_system_score_codex":0.000024246672,"about_ca_system_score_gemma":0.000008574482,"threshold_uncertainty_score":0.35762966},"labels":[],"label_agreement":null},{"id":"W2965337479","doi":"10.5539/ijef.v11n8p138","title":"Potential and Real Operating Leverage","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Operating leverage; Revenue; Leverage (statistics); Economics; Earnings before interest and taxes; Econometrics; Finance; Statistics; Mathematics","score_opus":0.012790947497860238,"score_gpt":0.20628521628052834,"score_spread":0.1934942687826681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965337479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909334,0.004711009,0.000052402662,0.0008100539,0.000755348,0.000033151646,0.00003141917,0.0000014549597,0.0026717521],"genre_scores_gemma":[0.9347656,0.06330586,0.00075075513,0.0001677122,0.00019522566,5.3698466e-7,0.0000028704428,0.0000072616976,0.0008042281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992505,0.0000036910053,0.0004898771,0.00015012121,0.000018183242,0.000087674925],"domain_scores_gemma":[0.99938387,0.000017035518,0.00045319487,0.0000655122,0.000049742324,0.000030654493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023443054,0.00007858998,0.00024407089,0.00015246157,0.000032255586,0.00013494228,0.00014531765,0.000042288404,0.00007314946],"category_scores_gemma":[0.000011384782,0.00008198224,0.00008315449,0.000024430125,0.00003390634,0.00037817677,0.000058702804,0.00008547348,0.000032107753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026837582,0.000030910756,0.027257651,0.0000034721672,0.0001570417,0.000013387768,0.00023541793,0.0028492264,0.000051804964,0.96712315,0.00011300876,0.0021380621],"study_design_scores_gemma":[0.0052415095,0.0005490678,0.21188518,0.00009830517,0.00004665807,0.00053931994,0.00041155893,0.30709776,0.00035061518,0.37537733,0.0974777,0.00092498824],"about_ca_topic_score_codex":0.00009856386,"about_ca_topic_score_gemma":0.000009443739,"teacher_disagreement_score":0.59174585,"about_ca_system_score_codex":0.000039185543,"about_ca_system_score_gemma":0.000013694484,"threshold_uncertainty_score":0.33431387},"labels":[],"label_agreement":null},{"id":"W2971692098","doi":"10.1108/jdqs-01-2009-b0003","title":"Stochastic Behavior of Commodity Prices: The Valuation of Derivative-Linked Securities","year":2009,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Geometric Brownian motion; Econometrics; Valuation (finance); Economics; Derivative (finance); Rendleman–Bartter model; Financial economics; Finance; Diffusion process; Economy","score_opus":0.1476191278310944,"score_gpt":0.3324327789506128,"score_spread":0.1848136511195184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971692098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92369044,0.07157539,0.003590346,0.00071537466,0.00009762028,0.00015645984,0.00005070669,0.0000024057688,0.00012128813],"genre_scores_gemma":[0.9895757,0.008254365,0.0020352234,0.000062804975,0.00003465026,0.0000039961933,0.000002194791,0.0000055325418,0.000025544527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985981,0.00006039363,0.0009951977,0.00012498752,0.00010333888,0.000117955984],"domain_scores_gemma":[0.9969817,0.0004867937,0.0019314196,0.00010654405,0.00046218387,0.000031398176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007344702,0.00014204212,0.0007492189,0.0002289137,0.00014515933,0.000018438966,0.0001452603,0.000035690726,0.000014853331],"category_scores_gemma":[0.00045057494,0.00009743466,0.00019471039,0.00030703127,0.00055325276,0.00031162915,0.00004274788,0.00013549512,9.101422e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010852319,0.0003095898,0.007981784,0.00006868099,0.0009675875,0.0000016760198,0.054159477,0.00020736629,0.0006091141,0.93491143,0.00016878743,0.00050597975],"study_design_scores_gemma":[0.001428022,0.0029780858,0.5439195,0.00027207326,0.0003375721,0.000007501083,0.07751,0.0017258167,0.0008982313,0.37045968,0.0001641775,0.0002993522],"about_ca_topic_score_codex":0.000019652487,"about_ca_topic_score_gemma":0.00001090364,"teacher_disagreement_score":0.56445175,"about_ca_system_score_codex":0.000029329278,"about_ca_system_score_gemma":0.000017654576,"threshold_uncertainty_score":0.397327},"labels":[],"label_agreement":null},{"id":"W2972168825","doi":"10.1093/rfs/hhz097","title":"The Value of Green Energy: Optimal Investment in Mutually Exclusive Projects and Operating Leverage","year":2019,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Leverage (statistics); Operating leverage; Revenue; Investment (military); Microeconomics; Business; Economics; Industrial organization; Investment decisions; Value (mathematics); Finance; Production (economics); Computer science; Profitability index","score_opus":0.03081576661748047,"score_gpt":0.25609761372630635,"score_spread":0.22528184710882587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972168825","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36514807,0.63301337,0.0000033556246,0.00047620537,0.00005390195,0.00025010956,0.000014236243,0.0000021299782,0.0010386194],"genre_scores_gemma":[0.2087159,0.78915274,0.0002904697,0.000893262,0.00003316505,0.00004264094,0.0000029497373,0.000008060482,0.00086082704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99887925,0.000027663562,0.00069570023,0.00020576798,0.00004659791,0.00014498757],"domain_scores_gemma":[0.9992874,0.0000822537,0.00040588246,0.00016385007,0.00004254232,0.000018042449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896911,0.00012053557,0.0007402971,0.00007444824,0.00007667101,0.000008156711,0.00012042529,0.000031325075,0.000009119624],"category_scores_gemma":[0.00019808086,0.00008712151,0.00011420291,0.00025259127,0.000110221015,0.000086131746,0.00016286218,0.000056934292,0.0000054912693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006530078,0.000046611276,0.009386218,0.002160862,0.00014181445,0.0000019201118,0.0022077288,0.00002847379,0.000020549309,0.98344576,0.0003661906,0.0021873086],"study_design_scores_gemma":[0.0074523417,0.00394296,0.47477624,0.028193463,0.0011748899,0.000016377915,0.008273721,0.009687523,0.0031023533,0.18348876,0.27591774,0.003973633],"about_ca_topic_score_codex":0.00066177576,"about_ca_topic_score_gemma":0.00012799796,"teacher_disagreement_score":0.79995704,"about_ca_system_score_codex":0.00003657356,"about_ca_system_score_gemma":0.000028269858,"threshold_uncertainty_score":0.35527122},"labels":[],"label_agreement":null},{"id":"W2994210065","doi":"10.1093/rcfs/cfz012","title":"Corporate Innovation and Returns","year":2019,"lang":"en","type":"article","venue":"The Review of Corporate Finance Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Expected return; The Internet; Industrial organization; Business; Marketing; Economics; Financial economics; Computer science","score_opus":0.10817637384151031,"score_gpt":0.26924365608182893,"score_spread":0.16106728224031863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994210065","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4000153,0.59663314,0.0000068875715,0.0014135711,0.00013971205,0.00025359978,0.000024012776,0.0000075580033,0.0015062151],"genre_scores_gemma":[0.35318598,0.6439869,0.00010361827,0.0005201503,0.000022165043,0.000016064736,0.000009132619,0.000007109985,0.0021489237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988712,0.000020544081,0.0007219787,0.00022132932,0.000040813287,0.00012415349],"domain_scores_gemma":[0.9973241,0.00004408748,0.0021379313,0.0003274312,0.00015698237,0.000009441214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009111568,0.00013406888,0.00070915284,0.00010096921,0.00006813892,0.0000114297645,0.00013640612,0.000027017106,0.00004829219],"category_scores_gemma":[0.00010680143,0.00009259499,0.00008223333,0.0008983614,0.00019150315,0.0001373364,0.00008467159,0.0000827899,0.00023137272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005129859,0.000013707012,0.01323493,0.0016930322,0.00012309814,6.0106004e-7,0.00018058615,0.000003875141,0.000017997121,0.98083156,0.0032023264,0.00069316145],"study_design_scores_gemma":[0.00048155533,0.0002074833,0.037561618,0.0040943245,0.00011797236,0.0000053521712,0.00025829853,0.0003786916,0.000232006,0.88902813,0.06716933,0.0004652171],"about_ca_topic_score_codex":0.00001173032,"about_ca_topic_score_gemma":0.0000038491335,"teacher_disagreement_score":0.09180341,"about_ca_system_score_codex":0.000020073929,"about_ca_system_score_gemma":0.000011894947,"threshold_uncertainty_score":0.37759143},"labels":[],"label_agreement":null},{"id":"W2997389370","doi":"10.1080/00036846.2019.1708255","title":"Estimation of the rate of return to capital in the East African Community (EAC) Countries","year":2020,"lang":"en","type":"article","venue":"Applied Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Rate of return; Tanzania; Return on capital employed; Cost of capital; Capital (architecture); Return of capital; Investment (military); Return on investment; Return on capital; Capital formation; Financial capital; Investment performance; Macroeconomics; Finance; Economic growth; Socioeconomics; Human capital; Geography; Production (economics); Market economy","score_opus":0.03306985458717542,"score_gpt":0.19664929542780638,"score_spread":0.16357944084063095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997389370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99107647,0.00019599826,0.00007262336,0.0036226027,0.0000465838,0.00024862346,0.00013767937,0.000005049646,0.00459438],"genre_scores_gemma":[0.99846995,0.00013608181,0.00012050126,0.00118907,0.000026518472,0.000015119149,0.00001485213,0.000009377033,0.000018515335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99915504,0.000026931128,0.00054733467,0.00013521829,0.000015660775,0.000119837976],"domain_scores_gemma":[0.9991343,0.00009011169,0.00037487887,0.00035626424,0.000009658937,0.00003478073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005727127,0.00009752347,0.00032322406,0.00007230589,0.000082214596,0.000030753672,0.00045752124,0.000046347588,0.000041165596],"category_scores_gemma":[0.00004423479,0.00007812939,0.00010120817,0.00024938548,0.00011529457,0.00007430758,0.000101224694,0.00015846032,0.000064137785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039891325,0.000048183607,0.009246318,0.000031359734,0.00005306423,6.887251e-8,0.027513836,0.014635414,0.00003680937,0.9479101,0.00028417996,0.00020082283],"study_design_scores_gemma":[0.0024039876,0.00036080802,0.26501906,0.00003607426,0.00013069596,0.0000019606262,0.04453783,0.109041184,0.008339348,0.55614614,0.012898059,0.0010848449],"about_ca_topic_score_codex":0.0007543337,"about_ca_topic_score_gemma":0.00048466126,"teacher_disagreement_score":0.3917639,"about_ca_system_score_codex":0.000048931644,"about_ca_system_score_gemma":0.000016894655,"threshold_uncertainty_score":0.31860244},"labels":[],"label_agreement":null},{"id":"W3001931150","doi":"10.5267/j.dsl.2019.10.003","title":"Selection of optimal portfolios of interdependent real options","year":2020,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Interdependence; Computer science; Risk analysis (engineering); Mathematical optimization; Operations research; Management science; Business; Economics; Engineering; Mathematics; Artificial intelligence; Sociology","score_opus":0.03798437178668035,"score_gpt":0.2622009212305544,"score_spread":0.22421654944387404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001931150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848641,0.00017676967,0.012501001,0.001366023,0.000113967726,0.000057504472,0.000016937864,0.000010210666,0.00089348276],"genre_scores_gemma":[0.9941049,0.00032254393,0.005007595,0.00050777115,0.00003174035,0.0000015541679,0.0000020498514,0.0000044102617,0.00001744059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989348,0.0000062541862,0.00052120094,0.0002823606,0.00012431202,0.00013109518],"domain_scores_gemma":[0.999393,0.000026569918,0.00031186148,0.00014344047,0.000041070794,0.000084076215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005408261,0.000064073116,0.00021494873,0.00039271274,0.000063256906,0.000032975946,0.00031223902,0.00002101056,0.00024010058],"category_scores_gemma":[0.00010147198,0.00006316049,0.00013044284,0.0010856332,0.00021495624,0.00030103992,0.000085927684,0.000059252932,0.00008418304],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012522495,0.00027346992,0.18079683,0.000028269358,0.00011679346,0.000011860813,0.0051146685,0.014754815,0.30267838,0.47865266,0.011455304,0.0059917234],"study_design_scores_gemma":[0.0027969663,0.0010567738,0.48896217,0.00010805389,0.00010106265,0.000026469628,0.0020896734,0.35278633,0.120292075,0.024825899,0.0056291153,0.0013254028],"about_ca_topic_score_codex":0.00009457525,"about_ca_topic_score_gemma":0.0000036116273,"teacher_disagreement_score":0.45382676,"about_ca_system_score_codex":0.00003872138,"about_ca_system_score_gemma":0.000012287739,"threshold_uncertainty_score":0.2628933},"labels":[],"label_agreement":null},{"id":"W3003777274","doi":"10.1080/10920277.2019.1685394","title":"Efficient Simulation Designs for Valuation of Large Variable Annuity Portfolios","year":2020,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Valuation (finance); Computer science; Annuity; Risk analysis (engineering); Econometrics; Actuarial science; Economics; Finance; Business; Life annuity; Pension","score_opus":0.07542955944419334,"score_gpt":0.27827127973069293,"score_spread":0.2028417202864996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003777274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62955207,0.00044558538,0.3687714,0.00030930736,0.0002330666,0.0002385287,0.00022323066,0.000014748711,0.000212069],"genre_scores_gemma":[0.99454486,0.000115102135,0.0042863875,0.00044688853,0.0005212907,0.000005226482,0.00004219265,0.000014838333,0.00002322599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987656,0.000024899175,0.0006810558,0.00020845485,0.0000852643,0.00023471139],"domain_scores_gemma":[0.9984464,0.00008643907,0.0010686368,0.0001068244,0.00012773571,0.00016398392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004923127,0.00011461044,0.00042345905,0.00016561538,0.0001497118,0.000055554214,0.00013747312,0.000032692482,0.00023984781],"category_scores_gemma":[0.0003589143,0.000116481,0.00022354609,0.0005392677,0.000050538845,0.0001033589,0.000022402965,0.00012426074,0.00002780379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004961449,0.00039330436,0.089100294,0.000028874854,0.00042995025,0.0000028932607,0.0023256068,0.8377983,0.00017192627,0.06465508,0.0013032838,0.003294371],"study_design_scores_gemma":[0.0013290554,0.00055368396,0.0323821,0.000004103697,0.000097828575,0.0000016455836,0.00016307528,0.95471996,0.000059808444,0.005743251,0.0047190054,0.00022651056],"about_ca_topic_score_codex":0.0000943378,"about_ca_topic_score_gemma":0.000015037917,"teacher_disagreement_score":0.3649928,"about_ca_system_score_codex":0.00006721234,"about_ca_system_score_gemma":0.00006550621,"threshold_uncertainty_score":0.47499576},"labels":[],"label_agreement":null},{"id":"W3004060282","doi":"10.5539/ijef.v12n2p32","title":"The Financial Decision Making for Tourism Hotels: Applying Real Options Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Tourism; Point (geometry); Value (mathematics); Return on investment; Economics; Matching (statistics); Period (music); Investment decisions; Investment strategy; Finance; Business; Marketing; Microeconomics; Computer science; Behavioral economics; Mathematics","score_opus":0.04081720412005413,"score_gpt":0.25083597220434733,"score_spread":0.2100187680842932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004060282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86758494,0.052141458,0.06501556,0.008954301,0.0026252673,0.0004776301,0.00028104635,0.0000116434985,0.0029081798],"genre_scores_gemma":[0.8688786,0.11325505,0.016188541,0.00054102833,0.0010219681,0.000020006175,0.0000060097827,0.000015071144,0.000073696014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989135,0.0000048532056,0.0007241164,0.00019098121,0.00002983634,0.00013669433],"domain_scores_gemma":[0.9988999,0.00014157928,0.00074883417,0.00008300409,0.000083866624,0.000042817006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040053634,0.00010235466,0.0002667524,0.000100171594,0.00017594926,0.00021181641,0.00037508333,0.000059572594,0.0000064634646],"category_scores_gemma":[0.0001528661,0.0000904744,0.00022456246,0.0000604648,0.000059927635,0.00026741644,0.00006687515,0.00012533134,0.0000070085994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001420123,0.000028372393,0.00037016696,0.0000031113307,0.00009624357,0.0000029231853,0.00028746988,0.008458608,0.0000018900972,0.96813226,0.0008823288,0.02159459],"study_design_scores_gemma":[0.001043456,0.00013446277,0.0025745444,0.000023559873,0.00002109325,0.000025976213,0.0001617049,0.34950614,0.000014502026,0.44798172,0.19828707,0.00022579133],"about_ca_topic_score_codex":0.000010427127,"about_ca_topic_score_gemma":0.0000100514635,"teacher_disagreement_score":0.5201506,"about_ca_system_score_codex":0.00006275973,"about_ca_system_score_gemma":0.000029093086,"threshold_uncertainty_score":0.3689439},"labels":[],"label_agreement":null},{"id":"W3005064568","doi":"10.1108/qram-01-2019-0020","title":"Bounded rationality, capital budgeting decisions and small business","year":2020,"lang":"en","type":"article","venue":"Qualitative Research in Accounting & Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bounded rationality; Capital budgeting; Rationality; Context (archaeology); Economics; Capital (architecture); Grounded theory; Originality; Nexus (standard); Accounting; Sociology; Finance; Microeconomics; Political science; Qualitative research; Computer science; Social science; Law; Project appraisal","score_opus":0.3229304257770977,"score_gpt":0.4244267754374777,"score_spread":0.10149634966038001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005064568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.962358,0.003927473,0.0017168614,0.014530599,0.00007640046,0.00052451825,0.000041639443,0.000036443478,0.016788065],"genre_scores_gemma":[0.9924075,0.0019061617,0.004442609,0.0004504987,0.000089132,0.0000757666,0.0000427894,0.000021970869,0.0005635976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977721,0.00022050094,0.00070189015,0.0006255545,0.00021357695,0.00046639892],"domain_scores_gemma":[0.9985658,0.00077113346,0.00018195198,0.00019491382,0.00016795682,0.000118242875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058766454,0.00015123539,0.00034057163,0.00065102935,0.00029639513,0.00043835674,0.0002895248,0.000053971995,0.00013131433],"category_scores_gemma":[0.0011165094,0.00016451138,0.00006910242,0.0016441959,0.00021924773,0.0003580361,0.0004955099,0.00028648466,0.00037717033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020592051,0.00008383199,0.0055670557,0.00012673784,0.00009992552,0.00001973169,0.01676151,0.000052684718,0.0000114584,0.9752417,0.00067317457,0.0013415797],"study_design_scores_gemma":[0.001047983,0.00005422846,0.0757677,0.00011265287,0.000011877694,5.8057776e-7,0.043252397,0.007316598,0.000011913182,0.8621074,0.009899534,0.00041713135],"about_ca_topic_score_codex":0.0012169548,"about_ca_topic_score_gemma":0.000212677,"teacher_disagreement_score":0.11313432,"about_ca_system_score_codex":0.00015119619,"about_ca_system_score_gemma":0.000018886978,"threshold_uncertainty_score":0.6708579},"labels":[],"label_agreement":null},{"id":"W3008363534","doi":"10.1016/j.tra.2020.02.013","title":"Incorporating the impacts of climate change in transportation infrastructure decision models","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Climate change; Environmental science; Arctic; Environmental resource management","score_opus":0.16511992174277498,"score_gpt":0.3868173984814261,"score_spread":0.22169747673865112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008363534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96512526,0.0055384096,0.00051575236,0.02478793,0.00003793003,0.00067150383,0.00061482756,0.000019315597,0.002689093],"genre_scores_gemma":[0.98019433,0.01824444,0.0005182425,0.00079302414,0.00011213183,0.00003744408,0.00008320511,0.000011174814,0.0000059842137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99870014,0.00009014457,0.0005923506,0.00024049474,0.00013662037,0.00024024822],"domain_scores_gemma":[0.9987206,0.00064550317,0.00031010702,0.00012202925,0.00008965495,0.00011210116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014266708,0.00009674725,0.00022854647,0.00027795052,0.00013153939,0.000049796345,0.000114069204,0.00007873975,0.000051225812],"category_scores_gemma":[0.00044803967,0.00008240849,0.00005807683,0.0010966669,0.00010820322,0.0010720317,0.0000049640007,0.00029140426,0.000012726698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037478577,0.00004600965,0.02759109,0.00009414912,0.000030749376,0.00000809664,0.024891777,0.0017849896,0.000041872954,0.94320345,0.0001017221,0.0018313043],"study_design_scores_gemma":[0.0017967428,0.00040412,0.559762,0.00012449455,0.000052183215,0.0000016220187,0.0050086305,0.056808587,0.000117,0.3603421,0.015219468,0.00036304587],"about_ca_topic_score_codex":0.006401183,"about_ca_topic_score_gemma":0.0022601834,"teacher_disagreement_score":0.58286136,"about_ca_system_score_codex":0.00002423408,"about_ca_system_score_gemma":0.000038788035,"threshold_uncertainty_score":0.96767163},"labels":[],"label_agreement":null},{"id":"W3017194997","doi":"","title":"The Development of the Net Present Value (NPV) Rule ¨C Religious Prohibitions and Its Evolution","year":2016,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Allegation; Net present value; Value (mathematics); Usury; Economics; Net asset value; Criticism; Investment (military); Work (physics); Present value; Law; Finance; History; Political science; Mathematics; Microeconomics; Engineering; Archaeology; Production (economics)","score_opus":0.018773905203449615,"score_gpt":0.2099974791354986,"score_spread":0.19122357393204897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017194997","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44185004,0.5545841,0.000031883847,0.0024101336,0.00008073675,0.0002706908,0.00006307164,0.0000021572291,0.00070716656],"genre_scores_gemma":[0.37370422,0.6256572,0.00017018688,0.000048022026,0.000016973037,0.000023286528,0.0000012693152,0.00000488675,0.00037395407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989505,0.000011902921,0.00069405814,0.0002033502,0.000015208331,0.00012500028],"domain_scores_gemma":[0.999071,0.00005471893,0.00057804334,0.00024422846,0.0000306502,0.000021382612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004647948,0.00009428468,0.00031834884,0.00003335502,0.00014872091,0.000012794424,0.00014319715,0.00003447124,0.000007707189],"category_scores_gemma":[0.000052772142,0.00005428872,0.00010183165,0.00008554023,0.000112661684,0.0000906908,0.00009922852,0.000036241414,0.000011542545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029555288,0.000021984266,0.0011548019,0.0002712982,0.000039573453,3.4289002e-8,0.00007430109,0.000008105026,0.000010816789,0.99147004,0.00054896995,0.0063971234],"study_design_scores_gemma":[0.0007240561,0.00007461717,0.041639253,0.0031355314,0.00007262342,0.0000060963866,0.000031946925,0.0044549,0.0010449346,0.30668193,0.64168507,0.0004490594],"about_ca_topic_score_codex":0.000018332248,"about_ca_topic_score_gemma":0.000026336686,"teacher_disagreement_score":0.6847881,"about_ca_system_score_codex":0.000045997996,"about_ca_system_score_gemma":0.000039157283,"threshold_uncertainty_score":0.22138298},"labels":[],"label_agreement":null},{"id":"W3021040265","doi":"10.1111/1467-937x.00246","title":"Estimating Production Functions Using Inputs to Control for Unobservables","year":2003,"lang":"en","type":"preprint","venue":"The Review of Economic Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Harvard University; University of Toronto; Yale University; Sage Foundation","keywords":"Simultaneity; Production (economics); Productivity; Investment (military); Econometrics; Control (management); Function (biology); Process (computing); Value (mathematics); Autocorrelation; Economics; Computer science; Statistics; Mathematics; Microeconomics; Artificial intelligence; Macroeconomics","score_opus":0.15049199256961818,"score_gpt":0.33413623752440136,"score_spread":0.18364424495478318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021040265","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03830402,0.9462782,0.0028800287,0.0056706057,0.0036143323,0.0023107533,0.00044219467,0.000022120224,0.00047775658],"genre_scores_gemma":[0.066819005,0.9001824,0.021828596,0.0037063865,0.0019370004,0.0018750179,0.00010294601,0.000124961,0.0034236936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979127,0.000036388472,0.0012891631,0.0005270629,0.000021808244,0.00021287434],"domain_scores_gemma":[0.9978034,0.00014359785,0.001316237,0.00060052215,0.000099908524,0.000036328744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016195001,0.00026760815,0.0015186991,0.0001534838,0.00022024845,0.00003115594,0.00025460028,0.0000659548,0.000050342063],"category_scores_gemma":[0.00065944943,0.0002200014,0.0005371861,0.00011000135,0.000098674114,0.00007755966,0.00018746598,0.00012774851,0.000097035445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007772824,0.0002452478,0.005482154,0.07217612,0.0179325,6.604139e-7,0.0026544123,0.38280618,0.00003766909,0.39156893,0.122901164,0.0041172514],"study_design_scores_gemma":[0.001877338,0.0003829343,0.000980067,0.039110955,0.00689483,0.000015792468,0.0009328537,0.12159042,0.00022110877,0.693233,0.1313403,0.0034203897],"about_ca_topic_score_codex":0.00010852573,"about_ca_topic_score_gemma":0.000033467117,"teacher_disagreement_score":0.30166408,"about_ca_system_score_codex":0.0003117381,"about_ca_system_score_gemma":0.00004825275,"threshold_uncertainty_score":0.89713967},"labels":[],"label_agreement":null},{"id":"W3022777985","doi":"10.3386/w12486","title":"Irreversible Investment, Real Options, and Competition: Evidence from Real Estate Development","year":2006,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Real Estate Foundation of British Columbia","keywords":"Competition (biology); Real estate; Investment (military); Business; Real estate development; Finance; Economics; Industrial organization; Political science; Ecology","score_opus":0.3359526593321809,"score_gpt":0.4283425599754967,"score_spread":0.09238990064331581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022777985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71976763,0.014713389,0.000030906016,0.0014444991,0.00045058833,0.0007329881,0.0009941786,0.000040821174,0.26182503],"genre_scores_gemma":[0.70846003,0.26125267,0.015051785,0.00008037018,0.0008352008,0.0003182143,0.005375644,0.00007510836,0.008550997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971759,0.0001158718,0.0011903794,0.00091790676,0.00024447544,0.0003554884],"domain_scores_gemma":[0.9979409,0.00064311986,0.0006064937,0.000396224,0.00026213648,0.00015111985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002786599,0.00026171634,0.0006622355,0.0010930302,0.00023233879,0.00020817542,0.00048258272,0.00030437787,0.0006100023],"category_scores_gemma":[0.00013528013,0.00031801104,0.00017752513,0.00018597441,0.000367985,0.0003274536,0.0007066859,0.00054283417,0.00047403856],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043170967,0.000105565974,0.021626573,0.00009168629,0.00029865452,0.00000285052,0.00041347995,0.0017241087,0.000023501083,0.9701773,0.005300865,0.0001922354],"study_design_scores_gemma":[0.0004292984,0.000042788677,0.055673853,0.00016452809,0.000018845885,0.0000010129548,0.00007699461,0.0064597037,0.00014038579,0.9331404,0.003473993,0.00037822552],"about_ca_topic_score_codex":0.04316989,"about_ca_topic_score_gemma":0.0026354122,"teacher_disagreement_score":0.25327402,"about_ca_system_score_codex":0.0014210072,"about_ca_system_score_gemma":0.0005815772,"threshold_uncertainty_score":0.9999272},"labels":[],"label_agreement":null},{"id":"W3023436146","doi":"10.46254/j.ieom.20190105","title":"Real Options Framework for Dealing with Uncertainty in Project Management: A Moroccan Infrastructure Project","year":2019,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering and Operations Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Valuation (finance); Risk analysis (engineering); Project management; Flexibility (engineering); Limiting; Business case; Process (computing); Project portfolio management; Cost–benefit analysis; Computer science; Downside risk; Business; Process management; Management science; Portfolio; Finance; Economics; Systems engineering; Engineering","score_opus":0.022693400835190888,"score_gpt":0.24944116120558446,"score_spread":0.22674776037039357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023436146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96341926,0.001781868,0.026802726,0.0011334006,0.0017681228,0.001779644,0.00014462465,0.000035143086,0.0031352278],"genre_scores_gemma":[0.9398534,0.0055985325,0.05326096,0.000058657304,0.00040690825,0.000072112736,0.000045466957,0.000025615685,0.00067834085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991723,0.0000051095008,0.00046508532,0.00015862327,0.00007980738,0.00011912749],"domain_scores_gemma":[0.9996494,0.000026268728,0.00014863737,0.000087088156,0.00006164935,0.000026953978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025729815,0.00011000861,0.0002055783,0.0006634433,0.000035488883,0.00014824017,0.00016990303,0.00005947597,0.00002732816],"category_scores_gemma":[0.000021388685,0.00009936019,0.00006967351,0.00018342627,0.0000116576775,0.00021301188,0.000039802417,0.0001666414,0.0000021911994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054852233,0.000026791677,0.0013792937,0.000012448638,0.00036158992,0.00000848344,0.00016473678,0.37521482,0.000003099783,0.6220358,0.00007518884,0.0006628953],"study_design_scores_gemma":[0.012254757,0.0008964994,0.009069182,0.0013833201,0.00028199147,0.000065295746,0.0036220434,0.8843995,0.000040716594,0.028302688,0.0586053,0.0010787506],"about_ca_topic_score_codex":0.0002340891,"about_ca_topic_score_gemma":0.000024285235,"teacher_disagreement_score":0.59373313,"about_ca_system_score_codex":0.00014399762,"about_ca_system_score_gemma":0.000017550685,"threshold_uncertainty_score":0.4051791},"labels":[],"label_agreement":null},{"id":"W3025615729","doi":"10.3390/jrfm13050095","title":"Forest of Stochastic Trees: A Method for Valuing Multiple Exercise Options","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Bank of Canada; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Binomial options pricing model; Estimator; Valuation (finance); Valuation of options; Monte Carlo methods for option pricing; Tree (set theory); Econometrics; Finite difference methods for option pricing; Value (mathematics); Computer science; Asian option; Mathematics; Mathematical optimization; Statistics; Economics; Black–Scholes model; Finance","score_opus":0.026167006832899523,"score_gpt":0.23385819450200854,"score_spread":0.20769118766910902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025615729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07031895,0.01398179,0.9147758,0.00024152467,0.00018227454,0.00027502683,0.000114377515,0.000005660567,0.000104594554],"genre_scores_gemma":[0.9366898,0.008741334,0.054188773,0.00008611983,0.00018556222,0.000013525513,0.0000041082367,0.000013546881,0.00007726131],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99894375,0.000010445366,0.0006974828,0.00016101073,0.00004912918,0.00013816658],"domain_scores_gemma":[0.99897265,0.00008493519,0.0007076137,0.00008818528,0.00005201332,0.00009460329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049184443,0.000107094296,0.000488925,0.00026229653,0.00008954733,0.000029198023,0.00012929794,0.00004366677,0.00001477404],"category_scores_gemma":[0.00019495017,0.000102201906,0.00030030636,0.00023023081,0.00003169993,0.00013603542,0.000051101684,0.00009285685,0.0000048679553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000700047,0.00041604656,0.022743838,0.00037244867,0.00038482845,0.000017456267,0.0054223663,0.03118859,0.000032264303,0.84617573,0.002186962,0.09035943],"study_design_scores_gemma":[0.008340057,0.0017700449,0.116384685,0.0003543991,0.0017516786,0.000008364603,0.002930508,0.34737587,0.00009664716,0.46409646,0.05598808,0.0009031991],"about_ca_topic_score_codex":0.000056389978,"about_ca_topic_score_gemma":0.000030611347,"teacher_disagreement_score":0.8663708,"about_ca_system_score_codex":0.000020387017,"about_ca_system_score_gemma":0.000007879479,"threshold_uncertainty_score":0.4167673},"labels":[],"label_agreement":null},{"id":"W3038345066","doi":"10.1142/s0219024920500363","title":"REAL OPTION SIGNALING GAMES OF DEBT FINANCING USING EQUITY GUARANTEE SWAPS UNDER ASYMMETRIC INFORMATION","year":2020,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Information asymmetry; Loan; Finance; Equity (law); Business; Swap (finance); Economics; Incentive compatibility; Debt; Incentive; Microeconomics","score_opus":0.024398095004425628,"score_gpt":0.2501382269450918,"score_spread":0.22574013194066617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038345066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94396085,0.0012367738,0.050937872,0.0010521864,0.00017910491,0.000057211328,0.00003456331,0.0000053621516,0.0025360852],"genre_scores_gemma":[0.9927643,0.0026323746,0.0040966896,0.0003329649,0.0001563543,9.1910783e-7,0.000005377304,0.0000061054347,0.0000049246587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99877673,0.000008341229,0.0008400125,0.000117951284,0.00013578558,0.00012115365],"domain_scores_gemma":[0.99889773,0.00006540464,0.0008077984,0.000056905563,0.00012680373,0.000045349127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038119507,0.00010389204,0.00033572363,0.00023460152,0.00004006767,0.00006823313,0.00023722657,0.0000691138,0.000042150386],"category_scores_gemma":[0.00010218194,0.00009610965,0.00014004948,0.00022935787,0.00016302489,0.00035871123,0.000097569435,0.00015556217,0.000011846822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001326032,0.000031430944,0.00028508532,0.000014262983,0.000075085176,0.0000019519575,0.00030766174,0.0075413506,0.0008951151,0.98749214,0.000021123207,0.0032021648],"study_design_scores_gemma":[0.001107439,0.00016575234,0.0025181284,0.00007993382,0.00004793616,0.00001942511,0.00025344233,0.07749345,0.007333613,0.91029954,0.0004557007,0.00022564613],"about_ca_topic_score_codex":0.000016910284,"about_ca_topic_score_gemma":2.593578e-7,"teacher_disagreement_score":0.077192634,"about_ca_system_score_codex":0.000062800274,"about_ca_system_score_gemma":0.000023620843,"threshold_uncertainty_score":0.39192382},"labels":[],"label_agreement":null},{"id":"W3040577229","doi":"10.4236/ti.2020.113003","title":"Differential Evolution Optimization of the Broken Wing Butterfly Option Strategy","year":2020,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Differential evolution; Profit (economics); Mathematical optimization; Economics; Wing; Computer science; Econometrics; Microeconomics; Mathematics; Engineering","score_opus":0.0215030534020865,"score_gpt":0.18949410407169018,"score_spread":0.16799105066960368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040577229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98051655,0.0039626122,0.010415574,0.0037203094,0.000084455285,0.00016505229,0.000017442766,0.000050290888,0.0010677017],"genre_scores_gemma":[0.99864715,0.00028482347,0.0005577714,0.0003610062,0.000027761867,0.000009722655,0.00000848333,0.0000059864583,0.000097275435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993923,0.000008185858,0.00027867666,0.000193874,0.000024291327,0.00010267526],"domain_scores_gemma":[0.9996246,0.000004132887,0.00019207959,0.0001364803,0.00001312814,0.000029587338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004225378,0.00008215141,0.0001784596,0.00015166076,0.00008760264,0.000013823155,0.00011552626,0.000115423914,0.00008216098],"category_scores_gemma":[0.000020728925,0.00006879757,0.000057068984,0.00035109074,0.00015981038,0.000096550095,0.00007858917,0.00009435009,0.000014512319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005167058,0.000027244605,0.0114048505,0.000010809571,0.000042388212,1.7460046e-7,0.00009872014,0.0022446983,0.0006962258,0.98529124,0.000082192884,0.00009630057],"study_design_scores_gemma":[0.0010063917,0.00037732374,0.03289991,0.000027312073,0.000087441906,0.0000033701529,0.00039760864,0.31022605,0.005694271,0.6478256,0.0011379276,0.000316813],"about_ca_topic_score_codex":0.000035250374,"about_ca_topic_score_gemma":0.0000026340233,"teacher_disagreement_score":0.33746564,"about_ca_system_score_codex":0.00003408689,"about_ca_system_score_gemma":0.0000071720965,"threshold_uncertainty_score":0.28054833},"labels":[],"label_agreement":null},{"id":"W3044565886","doi":"10.1016/j.ijggc.2020.103113","title":"Uncertainty analysis in the techno-economic assessment of CO2 capture and storage technologies. Critical review and guidelines for use","year":2020,"lang":"en","type":"article","venue":"International journal of greenhouse gas control","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Risk analysis (engineering); Uncertainty analysis; Computer science; Selection (genetic algorithm); Key (lock); Emerging technologies; Management science; Data science; Operations research; Engineering; Simulation; Computer security","score_opus":0.06113159533251434,"score_gpt":0.321469707892257,"score_spread":0.26033811255974265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044565886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42193353,0.22210166,0.046780255,0.30658075,0.0002659573,0.0008394799,0.0013811829,0.000033714085,0.00008348798],"genre_scores_gemma":[0.9642656,0.03129568,0.0019106081,0.0024383573,0.000059521906,0.000010991701,0.0000057509274,0.0000070202136,0.000006475585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866337,0.000021450365,0.00096434675,0.00017193012,0.00007922313,0.00009966964],"domain_scores_gemma":[0.9986708,0.00028452504,0.000610582,0.000115541494,0.00027887122,0.00003966613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074789126,0.00011000742,0.0006406067,0.00036608864,0.000025217405,0.00007052904,0.00033891198,0.00006385189,0.000023917364],"category_scores_gemma":[0.00086876407,0.00008173787,0.0002473527,0.00017934857,0.00011747753,0.00021448376,0.000041046285,0.00016320874,6.762535e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039303736,0.00043924616,0.39316937,0.00043346127,0.009593492,0.0001193359,0.0007261622,0.016524883,0.00014425683,0.55894464,0.011180296,0.008331838],"study_design_scores_gemma":[0.0075970134,0.0009750626,0.040981285,0.00046243373,0.004087885,0.00011309617,0.0015424151,0.8715049,0.000025961854,0.047179364,0.02480507,0.00072551914],"about_ca_topic_score_codex":0.0002754526,"about_ca_topic_score_gemma":0.00016331096,"teacher_disagreement_score":0.85498,"about_ca_system_score_codex":0.00006911397,"about_ca_system_score_gemma":0.000027807815,"threshold_uncertainty_score":0.33331734},"labels":[],"label_agreement":null},{"id":"W3045657533","doi":"10.5465/ambpp.2020.12623abstract","title":"Towards a Resource-Based View of Internal Capital Markets","year":2020,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Value (mathematics); Resource (disambiguation); Capital (architecture); Industrial organization; Work (physics); Microeconomics; Economics; Business; Capital allocation line; Subsidiary; Computer science; Engineering","score_opus":0.03236369590095709,"score_gpt":0.22800957781998563,"score_spread":0.19564588191902854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045657533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85752285,0.010940132,0.0003252323,0.011144126,0.00004658206,0.0004786068,0.000053951193,0.00006592473,0.119422615],"genre_scores_gemma":[0.9943599,0.0012998044,0.0012182294,0.0023514673,0.000064125314,0.000015620986,0.000004145136,0.000019657859,0.0006670452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858874,0.0000033130502,0.00074040104,0.00036159274,0.00010445282,0.0002014968],"domain_scores_gemma":[0.9992614,0.000010564943,0.0005588901,0.0000545178,0.00001689559,0.00009777028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003836456,0.0001562887,0.00046333298,0.00027212157,0.000029312747,0.000027808217,0.00043688095,0.00008264483,0.00043103966],"category_scores_gemma":[0.00003302332,0.00016587548,0.00024142307,0.0004321131,0.00009456902,0.00020649252,0.00017973712,0.00014588442,0.00007704274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000140067,0.00012500507,0.014324545,0.0011967106,0.0005060669,0.0000018416283,0.00116343,0.0000138429805,0.000110991794,0.95994675,0.017651446,0.004819279],"study_design_scores_gemma":[0.004090204,0.0005810213,0.10371145,0.00046804608,0.00042766458,0.000001935204,0.00221572,0.018667068,0.013326747,0.09549561,0.7598074,0.0012071425],"about_ca_topic_score_codex":0.000021029298,"about_ca_topic_score_gemma":1.0353683e-7,"teacher_disagreement_score":0.86445117,"about_ca_system_score_codex":0.000029370422,"about_ca_system_score_gemma":0.0000027054105,"threshold_uncertainty_score":0.6764205},"labels":[],"label_agreement":null},{"id":"W3080271032","doi":"10.2139/ssrn.3442989","title":"Real Option Signaling Games of Debt Financing Using Equity Guarantee Swaps under Asymmetric Information","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Equity (law); Business; Swap (finance); Information asymmetry; Debt; Finance; Debt financing; Financial system","score_opus":0.020269289536583874,"score_gpt":0.24146647259134127,"score_spread":0.22119718305475738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080271032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694589,0.011311522,0.017202074,0.000062002706,0.00021839359,0.00010151099,0.0000071807763,0.00001162576,0.0016268278],"genre_scores_gemma":[0.97835475,0.02088303,0.00035657614,0.000039164253,0.000086231375,0.0000010001601,0.0000117270265,0.0000122482925,0.0002552707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99801606,0.00001945353,0.0007953195,0.0001512051,0.00009906069,0.00091892405],"domain_scores_gemma":[0.99884576,0.000031369837,0.0008593039,0.00015477088,0.000074410804,0.000034414345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017620845,0.00013560485,0.00036357265,0.0007652492,0.00012164383,0.000088505316,0.00018937163,0.00009920379,0.00005348148],"category_scores_gemma":[0.00004216131,0.00013891667,0.00024403028,0.0005985368,0.000024454406,0.0010349832,0.000050253824,0.0005634301,0.00013161749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023134331,0.000029461546,0.006006068,0.000016203581,0.00015310262,2.0046967e-7,0.00019599292,0.0130118625,0.0005121203,0.97789377,0.000004989386,0.0021531032],"study_design_scores_gemma":[0.00089244667,0.00027340124,0.0036773013,0.000040669594,0.000059001013,0.0000414678,0.0015925147,0.04930858,0.000627215,0.943083,0.0001164319,0.00028797035],"about_ca_topic_score_codex":0.0007175257,"about_ca_topic_score_gemma":0.00008044315,"teacher_disagreement_score":0.036296714,"about_ca_system_score_codex":0.0010377371,"about_ca_system_score_gemma":0.0003179117,"threshold_uncertainty_score":0.5664857},"labels":[],"label_agreement":null},{"id":"W3086660421","doi":"10.1108/jdqs-02-2006-b0002","title":"Which One is More Important Factor for Pricing Options, Skewness or Kurtosis?","year":2006,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Kurtosis; Skewness; Econometrics; Parametric statistics; Mathematics; Statistics","score_opus":0.10898193168959679,"score_gpt":0.33169633768411955,"score_spread":0.22271440599452275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086660421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8701914,0.119826585,0.005168695,0.0039701364,0.00020731265,0.00022276811,0.00024089546,0.000007882308,0.00016435095],"genre_scores_gemma":[0.9426998,0.039043035,0.017133752,0.00019554552,0.00019266114,0.0000146883085,0.0000055656888,0.000022832139,0.0006921534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99839276,0.000018199844,0.0010709115,0.0002335517,0.000071018105,0.00021356337],"domain_scores_gemma":[0.9978189,0.00031837772,0.0012852327,0.000093233655,0.00043042522,0.000053828448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003684256,0.00019082597,0.00081065384,0.00031162292,0.00027779833,0.00007065349,0.00009997615,0.00004925893,0.000043750777],"category_scores_gemma":[0.00036745326,0.00014249742,0.00020639226,0.00038746785,0.00015836468,0.0003983268,0.000048261994,0.00011388275,0.0000032985147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028963853,0.0003777773,0.04659776,0.0002203435,0.0028694144,0.0000066506395,0.01679393,0.00006156026,0.0006257512,0.930041,0.0018914221,0.00022476405],"study_design_scores_gemma":[0.0046669436,0.0034161196,0.49062368,0.00052197743,0.0004979983,0.000025662795,0.065620184,0.0048728143,0.0029732832,0.4108429,0.014649306,0.0012891354],"about_ca_topic_score_codex":0.000043712218,"about_ca_topic_score_gemma":0.00008896279,"teacher_disagreement_score":0.5191981,"about_ca_system_score_codex":0.000061133054,"about_ca_system_score_gemma":0.000023033272,"threshold_uncertainty_score":0.5810876},"labels":[],"label_agreement":null},{"id":"W3088514589","doi":"10.11575/prism/38226","title":"Applications of Mean-reverting Processes in Alberta Energy Markets","year":2020,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mean reversion; Economics; Econometrics","score_opus":0.02803432075450638,"score_gpt":0.2601143709442867,"score_spread":0.2320800501897803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088514589","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17702538,0.030326102,0.000110984016,0.0005130797,0.00021175218,0.0010562607,0.00030278732,0.0000025788354,0.79045105],"genre_scores_gemma":[0.9001145,0.0046793907,0.00124685,0.00005826602,0.000077256445,0.0002674843,0.0023075154,0.000046493795,0.091202244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986788,0.000007872768,0.00072524295,0.00042857224,0.000032210686,0.00012730993],"domain_scores_gemma":[0.99895924,0.00006024765,0.0006864983,0.00020831205,0.00003956161,0.000046140307],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001357463,0.00015055451,0.0005298694,0.00024614253,0.000038274968,0.00008324579,0.00046280114,0.00013721001,0.0019276062],"category_scores_gemma":[0.00008680078,0.00017357424,0.00009459812,0.00062165153,0.000014766232,0.0001644054,0.000057317295,0.00009235438,0.00030075578],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000666157,0.0021706605,0.028380131,0.0028412913,0.0021767851,0.000024124722,0.054704774,0.0001226907,0.00042374237,0.5203708,0.0045451135,0.38357377],"study_design_scores_gemma":[0.00084936945,0.00006224137,0.0031307486,0.00032691262,0.00015344699,7.736802e-7,0.0025579862,0.0019811327,0.0077701653,0.035728097,0.9463761,0.0010630483],"about_ca_topic_score_codex":0.0047164406,"about_ca_topic_score_gemma":0.029468717,"teacher_disagreement_score":0.941831,"about_ca_system_score_codex":0.00003554453,"about_ca_system_score_gemma":0.000076567405,"threshold_uncertainty_score":0.99898475},"labels":[],"label_agreement":null},{"id":"W3091735592","doi":"10.22034/amfa.2020.674942","title":"Option Pricing in the Presence of Operational Risk","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Business; Environmental science; Computer science","score_opus":0.27989478115466465,"score_gpt":0.4728612638230646,"score_spread":0.19296648266839994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091735592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.954059,0.04013228,0.0010298175,0.0009667441,0.00013313709,0.0002956108,0.00008549786,0.000006027552,0.0032919003],"genre_scores_gemma":[0.96686757,0.03231323,0.00021468355,0.00039123412,0.000101619844,0.000015533018,0.000011185842,0.000011734945,0.00007318632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983971,0.000096096155,0.0009286872,0.00027624983,0.00014531879,0.00015653046],"domain_scores_gemma":[0.99849564,0.0001908387,0.0009444093,0.0002248855,0.00007037063,0.00007388718],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012991017,0.00012985888,0.0004976822,0.0004169906,0.000118341166,0.00047172088,0.0014058489,0.000052877676,0.0025301985],"category_scores_gemma":[0.0004097725,0.00010733582,0.00016718154,0.001033697,0.000074282776,0.0014489647,0.00026620118,0.00024387187,0.000031575644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051970284,0.00016260718,0.9371369,0.000035880243,0.00012601254,0.0000049568494,0.0015674855,0.005245696,0.0019613788,0.047354214,0.00552251,0.00083037204],"study_design_scores_gemma":[0.00039760544,0.000015197743,0.91268295,0.000061542174,0.000035769855,0.0000013481464,0.00025281133,0.016126111,0.0018239798,0.064471416,0.003906769,0.00022451238],"about_ca_topic_score_codex":0.0020364171,"about_ca_topic_score_gemma":0.000056975186,"teacher_disagreement_score":0.024453977,"about_ca_system_score_codex":0.000036977883,"about_ca_system_score_gemma":0.000028894652,"threshold_uncertainty_score":0.9983816},"labels":[],"label_agreement":null},{"id":"W3092957372","doi":"","title":"Valuation in the energy sector: Fundamentals or bubbles?","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Economics; Econometrics; Energy sector; Monetary economics; Financial economics; Accounting; Natural resource economics","score_opus":0.13797169555722325,"score_gpt":0.32349725140501995,"score_spread":0.1855255558477967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092957372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7268745,0.010792707,0.000047432655,0.0076579344,0.0014304006,0.0021645864,0.0008965,0.000082711,0.2500533],"genre_scores_gemma":[0.9165504,0.078643896,0.00017897658,0.0007457271,0.00036953224,0.00042695776,0.00034513147,0.00006172887,0.0026776253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99653745,0.00024762916,0.0012782769,0.0011343332,0.00014185446,0.0006604832],"domain_scores_gemma":[0.99799824,0.0004355763,0.00045017092,0.000950211,0.000034598248,0.00013122095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029829917,0.0003356008,0.0008409113,0.0009837449,0.00014176575,0.00038554502,0.0010625029,0.00039794768,0.0007519748],"category_scores_gemma":[0.0003413571,0.00030161097,0.000330994,0.00047993276,0.00020331285,0.00016393054,0.00071377965,0.0011830345,0.00012909292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056779187,0.0013799352,0.059446797,0.0005083977,0.000985958,0.0002368989,0.010494495,0.023364484,0.000088530214,0.8321951,0.0030492905,0.06768234],"study_design_scores_gemma":[0.0022360892,0.00039395885,0.025223551,0.00021064273,0.000037380116,0.000011427584,0.004552055,0.17091647,0.00012825814,0.5718215,0.22288312,0.0015855144],"about_ca_topic_score_codex":0.0018984318,"about_ca_topic_score_gemma":0.004195718,"teacher_disagreement_score":0.26037356,"about_ca_system_score_codex":0.0012176355,"about_ca_system_score_gemma":0.00023272805,"threshold_uncertainty_score":0.9999436},"labels":[],"label_agreement":null},{"id":"W3110696876","doi":"10.3138/cpp.2021-035","title":"A Pervasive Economic Fallacy in Assessing the Cost of Public Funds","year":2022,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Public sector; Ceteris paribus; Private sector; Business; Government (linguistics); Subsidy; Opportunity cost; Economics; Finance; Public economics; Market economy; Microeconomics; Economic growth; Economy","score_opus":0.06518740029494677,"score_gpt":0.26441660266636857,"score_spread":0.1992292023714218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110696876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83600974,0.0067219674,0.000016187674,0.06672073,0.00036286857,0.00036815018,0.00108252,0.000020026513,0.0886978],"genre_scores_gemma":[0.99545604,0.00028360117,0.000012475719,0.0021625762,0.00014761517,0.00010169317,0.000080243575,0.00002236542,0.0017333729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984185,0.00006391567,0.0005447404,0.000306469,0.00004351273,0.0006228669],"domain_scores_gemma":[0.99883336,0.000061284365,0.00029459546,0.00043470217,0.000021656198,0.00035439676],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009156637,0.00013433695,0.0003329211,0.002127434,0.00039635802,0.0002949451,0.0006207975,0.000053007676,0.0022671788],"category_scores_gemma":[0.00019680004,0.00014268074,0.00017649926,0.0011392796,0.00013171112,0.000459239,0.00013174885,0.0002406022,0.00013006928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.0467816e-7,0.00002189256,0.09809596,0.0000035634566,0.000049951872,0.0000038592693,0.00045937835,0.00009323949,0.0000010089191,0.89605635,0.0034565516,0.0017578639],"study_design_scores_gemma":[0.00058904645,0.000037797203,0.14670724,0.0000028594557,0.000008320692,0.000013887329,0.0022987423,0.00876677,0.0000027090914,0.05278357,0.7884147,0.00037436656],"about_ca_topic_score_codex":0.5036413,"about_ca_topic_score_gemma":0.44179115,"teacher_disagreement_score":0.84327275,"about_ca_system_score_codex":0.0025576265,"about_ca_system_score_gemma":0.0022174777,"threshold_uncertainty_score":0.9986449},"labels":[],"label_agreement":null},{"id":"W3115223235","doi":"","title":"Investment Plans, Uncertainty, and Misallocation","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Investment (military); Economics; Capital (architecture); Microeconomics; Capital investment; Investment decisions; Econometrics; Monetary economics; Finance; Production (economics)","score_opus":0.019896936821014236,"score_gpt":0.20289457223882623,"score_spread":0.182997635417812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115223235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7574028,0.20686494,0.00333148,0.026224734,0.0002150563,0.00021462017,0.000034102894,0.00005873065,0.00565356],"genre_scores_gemma":[0.9447711,0.05218678,0.00007041634,0.001978889,0.00021187945,0.000003042934,0.000013537812,0.000012807595,0.00075156055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99875677,0.000011894058,0.00031457964,0.00019927713,0.000036507547,0.000680968],"domain_scores_gemma":[0.99959636,0.000011117956,0.00017880295,0.00007427514,0.000014009394,0.00012541203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046024853,0.00010101021,0.00019603326,0.000088081666,0.00011367609,0.00007178818,0.000118238626,0.00004591381,0.000064008374],"category_scores_gemma":[0.000035628254,0.000099226316,0.000081728904,0.00014560112,0.000034648696,0.00014681784,0.000025135578,0.00046976883,0.00016101284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011573672,0.000017440958,0.005418702,0.0000037537015,0.00013293941,9.43265e-7,0.0003613789,0.000084670166,0.000022116425,0.9930414,0.0003598499,0.00054521713],"study_design_scores_gemma":[0.00055623986,0.00024945347,0.0010882223,0.0000037530763,0.000025257383,0.00003078136,0.0009866396,0.006229151,0.000017502545,0.9724545,0.018172532,0.00018599203],"about_ca_topic_score_codex":0.00015090422,"about_ca_topic_score_gemma":0.0002463891,"teacher_disagreement_score":0.1873683,"about_ca_system_score_codex":0.00025818247,"about_ca_system_score_gemma":0.00012501932,"threshold_uncertainty_score":0.40463316},"labels":[],"label_agreement":null},{"id":"W3119100482","doi":"10.3808/jeil.202000043","title":"Optimizing Two-Stage Modular Wastewater Plant Expansions Using Numerical Methods and Simulation in A Real Options Context","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Informatics Letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Modular design; Computer science; Context (archaeology); Valuation (finance); Mathematical optimization; Industrial engineering; Engineering; Mathematics","score_opus":0.052634927163641064,"score_gpt":0.27613612000062004,"score_spread":0.22350119283697897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119100482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643109,0.0010077356,0.033942804,0.0005099717,0.00005485423,0.00007804653,0.000058872105,0.0000034042214,0.00003340139],"genre_scores_gemma":[0.92458147,0.0009426975,0.07319655,0.0012094671,0.000042195217,8.708157e-7,0.000011415902,0.000010154177,0.000005198989],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987043,0.000027300137,0.0009822086,0.000079478355,0.000058890488,0.00014781566],"domain_scores_gemma":[0.9991781,0.000049143167,0.0005733286,0.00007679524,0.0000025004163,0.00012014136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030951793,0.00011567873,0.00034460155,0.0002127066,0.00006332022,0.000058289603,0.00008435259,0.00004014635,0.00009055076],"category_scores_gemma":[0.000016203745,0.00011088867,0.000121391575,0.00009244524,0.00005482918,0.00066079415,0.000060756385,0.00018977365,0.000011570452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031887044,0.0000523292,0.004508484,0.000017084682,0.000094808405,0.000015779928,0.01005622,0.9720944,0.011446637,0.0014677921,0.00001772981,0.00019684926],"study_design_scores_gemma":[0.00078529626,0.000059696955,0.0013521962,0.000018770124,0.000027435595,0.000012139885,0.0026362988,0.99395776,0.00033816224,0.00013422668,0.00052998564,0.00014800525],"about_ca_topic_score_codex":0.000033376877,"about_ca_topic_score_gemma":8.9545154e-7,"teacher_disagreement_score":0.03972946,"about_ca_system_score_codex":0.00013065724,"about_ca_system_score_gemma":0.0000037409354,"threshold_uncertainty_score":0.45219088},"labels":[],"label_agreement":null},{"id":"W3120583634","doi":"10.20397/2177-6652/2020.v20i4.1990","title":"Evolution of studies on Real Options Theory in health sector","year":2020,"lang":"en","type":"article","venue":"Revista Gestão & Tecnologia","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Health sector; Relevance (law); Originality; Investment (military); Management science; Data science; Computer science; Risk analysis (engineering); Social science; Sociology; Business; Economics; Qualitative research; Medicine; Political science; Environmental health; Health services","score_opus":0.08476408826691491,"score_gpt":0.2805931191379074,"score_spread":0.19582903087099252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120583634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8244467,0.17049499,0.00014174142,0.0032726184,0.000101491256,0.00026735052,0.000073307405,0.000067133624,0.0011346879],"genre_scores_gemma":[0.9659491,0.033256344,0.0002494744,0.00024733593,0.00005034973,0.000012926589,0.000008846935,0.000009755634,0.00021586225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998752,0.000056158595,0.00068913616,0.00029785538,0.000030589566,0.00017427254],"domain_scores_gemma":[0.9992205,0.00007519684,0.00041858433,0.00021132804,0.000021677213,0.000052728992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000565624,0.00011391775,0.0005231758,0.00022535455,0.000052237534,0.000014944446,0.00014002061,0.000064448635,0.00006969467],"category_scores_gemma":[0.00029867684,0.00010661698,0.00012556397,0.0005039397,0.00009840177,0.000064364045,0.000049038314,0.00014473686,0.00016872025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019022675,0.000057100442,0.019826824,0.00011797687,0.000057770023,0.0000015640877,0.0005128747,0.00029141264,0.00003295699,0.97859037,0.0003894481,0.000102657046],"study_design_scores_gemma":[0.0022907988,0.0032427148,0.42918712,0.0006746044,0.000084742765,0.000003725205,0.006709866,0.008564071,0.0003200325,0.5327625,0.014849897,0.0013098924],"about_ca_topic_score_codex":0.00019606526,"about_ca_topic_score_gemma":0.000027833195,"teacher_disagreement_score":0.44582787,"about_ca_system_score_codex":0.00026827407,"about_ca_system_score_gemma":0.000028534423,"threshold_uncertainty_score":0.43477142},"labels":[],"label_agreement":null},{"id":"W3120827670","doi":"","title":"Application of Monte Carlo simulation with activity start times to determine cash flow parameters","year":2013,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Monte Carlo method; Computer science; Cash flow; Econometrics; Statistical physics; Simulation; Mathematics; Statistics; Economics; Physics","score_opus":0.024248296002591218,"score_gpt":0.21208645474969734,"score_spread":0.18783815874710613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120827670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97629744,0.00011552763,0.021799497,0.0002194229,0.000018086277,0.00033057705,0.0000211495,0.00001860631,0.0011796822],"genre_scores_gemma":[0.9930823,0.000022882481,0.0053543597,0.00009142005,0.000012446867,0.00004878399,0.0000049690925,0.000009369103,0.001373505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994132,0.0000046687,0.00022610022,0.0002131627,0.000029896783,0.00011297861],"domain_scores_gemma":[0.9994857,0.00003663285,0.00014686903,0.0002309216,0.000039251157,0.00006063629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007372187,0.00008718227,0.00022761358,0.00015030416,0.000029489676,0.000030297564,0.00006790316,0.000036364232,0.0002319603],"category_scores_gemma":[0.000012254532,0.00007609859,0.00006259536,0.00020151888,0.000022671404,0.00024806854,0.000019249732,0.00003081481,0.00031114797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083184,0.00029895036,0.14078707,0.000042586715,0.00030233737,8.0809775e-7,0.0009677711,0.8097355,0.000719468,0.0135278525,0.0010792256,0.03245528],"study_design_scores_gemma":[0.00016846442,0.00009817257,0.0304693,0.0000023083353,0.000012355665,1.5400576e-7,0.000030941235,0.9660179,0.001093245,0.0015089698,0.00046644537,0.00013176806],"about_ca_topic_score_codex":0.0051109353,"about_ca_topic_score_gemma":0.00039001103,"teacher_disagreement_score":0.15628241,"about_ca_system_score_codex":0.000038351554,"about_ca_system_score_gemma":0.0000037808145,"threshold_uncertainty_score":0.7726239},"labels":[],"label_agreement":null},{"id":"W3121331736","doi":"10.1111/j.1540-5982.2009.01556.x","title":"Optimal agenda‐setter timing","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Setter; Stochastic game; Component (thermodynamics); Politics; Political science; Economics; Mathematical economics; Law; History","score_opus":0.16827519520251458,"score_gpt":0.1890008199037004,"score_spread":0.02072562470118583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121331736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98421365,0.0037332776,0.0001276936,0.00569174,0.0010900339,0.0001340124,0.00020758792,0.00000854106,0.004793458],"genre_scores_gemma":[0.99217737,0.0005561364,0.0014326861,0.0032545112,0.0008170522,0.0000037869177,0.000025039737,0.000042745392,0.0016906656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972803,0.000019423987,0.0014137733,0.00043136647,0.0000016427591,0.0008534796],"domain_scores_gemma":[0.9970084,0.00004481793,0.0010191388,0.0004299998,0.00008652378,0.0014111297],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00070924324,0.00031615,0.0008935451,0.0013465328,0.0002100775,0.00024805043,0.000620109,0.00021065156,0.0012928025],"category_scores_gemma":[0.00011070154,0.0004035625,0.00053400034,0.00020078298,0.00012178284,0.000692537,0.000014282914,0.00037429982,0.00028764896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023887123,0.000018828552,0.004357299,0.000008722504,0.00020115038,0.00017874881,0.00114409,0.0063755414,0.000009084084,0.98197246,0.00469017,0.001020022],"study_design_scores_gemma":[0.0013574112,0.0007781456,0.0068938355,0.000073052084,0.000095893156,0.00057235494,0.0004551884,0.010392825,0.00019718491,0.80164284,0.17627333,0.0012679677],"about_ca_topic_score_codex":0.04082939,"about_ca_topic_score_gemma":0.5705019,"teacher_disagreement_score":0.5296725,"about_ca_system_score_codex":0.0014293728,"about_ca_system_score_gemma":0.00047464017,"threshold_uncertainty_score":0.99984163},"labels":[],"label_agreement":null},{"id":"W3121340383","doi":"10.17578/4-1/2-2","title":"The Relationship Between Overallotment Options, Underwriting Fees and Price Stabilization For Canadian IPOs","year":2000,"lang":"en","type":"article","venue":"Multinational Finance Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Social Sciences and Humanities Research Council; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Underwriting; Initial public offering; Secondary market; Business; Order (exchange); Finance; Monetary economics; Economics","score_opus":0.055388829017490745,"score_gpt":0.25859070566977005,"score_spread":0.2032018766522793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121340383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97037464,0.01713563,0.00189171,0.008684735,0.0001312966,0.00034274795,0.00021382338,0.000012719862,0.0012126666],"genre_scores_gemma":[0.98902804,0.0042002387,0.0026886687,0.0001255338,0.00022718764,0.00003005814,0.00006144375,0.000011938766,0.0036268858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99906576,0.000019181807,0.00046306342,0.00016833383,0.000059013004,0.0002246459],"domain_scores_gemma":[0.9990855,0.00044611492,0.00022232972,0.00008085625,0.000079511155,0.0000857008],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007157443,0.000091487236,0.00013206403,0.00015410311,0.0015178024,0.00024692132,0.0001062483,0.00005620981,0.000118835116],"category_scores_gemma":[0.00032067628,0.00008405875,0.00008257032,0.00016815466,0.00005177119,0.0003364417,0.000008213508,0.00013391147,0.000033416505],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048583724,0.000013349306,0.30149674,0.0000038475496,0.000023216448,3.1866347e-7,0.00012752246,0.000752542,6.26826e-7,0.69509494,0.00044502175,0.002037011],"study_design_scores_gemma":[0.00037878295,0.000024636967,0.77301,0.000012371768,0.000008953034,0.0000052592923,0.000047051002,0.009178756,0.000001991638,0.17384245,0.04338174,0.000107985936],"about_ca_topic_score_codex":0.0010492629,"about_ca_topic_score_gemma":0.002280691,"teacher_disagreement_score":0.5212525,"about_ca_system_score_codex":0.0002886805,"about_ca_system_score_gemma":0.00006701734,"threshold_uncertainty_score":0.9997821},"labels":[],"label_agreement":null},{"id":"W3121585412","doi":"","title":"Noncapital Investment Costs and the Adoption of CAD and CNC in U.S. Metalworking Industries","year":2002,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metalworking; CAD; Investment (military); Test (biology); Industrial organization; Operations management; Economics; Business; Computer science; Engineering drawing; Engineering; Mechanical engineering","score_opus":0.022090171731004117,"score_gpt":0.18983040969835707,"score_spread":0.16774023796735296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121585412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9296911,0.03871551,0.00040682036,0.0051342165,0.00003744878,0.00018497503,0.000020764892,0.000014332014,0.025794838],"genre_scores_gemma":[0.987886,0.009413793,0.0008200058,0.00009058799,0.0000052133655,0.000013701222,0.000015025066,0.000007432906,0.001748227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99892443,0.00032854002,0.00036045015,0.0002196563,0.000046646313,0.00012025108],"domain_scores_gemma":[0.99895304,0.0003346507,0.00025896274,0.0003161589,0.00008996459,0.00004720036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019424183,0.00009261872,0.00023686592,0.0001644731,0.00011155091,0.000095609124,0.00014673875,0.0000633435,0.00006808185],"category_scores_gemma":[0.00031250456,0.000082205865,0.000050400846,0.00033495537,0.00034696047,0.00014850544,0.000121484074,0.00012380586,0.00001251829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042582974,0.00008192525,0.021120347,0.000009086022,0.00003185708,4.3363977e-7,0.005584826,0.0000032355733,0.000033706092,0.9674028,0.000077552344,0.0056499275],"study_design_scores_gemma":[0.011722715,0.000006697252,0.45164308,0.0011217541,0.0002170688,0.000029072049,0.0043126117,0.23610415,0.009791499,0.24621364,0.03728676,0.0015509469],"about_ca_topic_score_codex":0.0012833565,"about_ca_topic_score_gemma":0.00095135806,"teacher_disagreement_score":0.7211892,"about_ca_system_score_codex":0.000038770337,"about_ca_system_score_gemma":0.000006075838,"threshold_uncertainty_score":0.3352258},"labels":[],"label_agreement":null},{"id":"W3121772224","doi":"","title":"The Factor Structure in Equity Options","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; University of Toronto","funders":"","keywords":"Econometrics; Volatility (finance); Economics; Equity (law); Principal component analysis; Implied volatility; Valuation of options; Factor analysis; Financial economics; Skew; Equity risk; Index (typography); Valuation (finance); Mathematics; Statistics; Finance; Computer science","score_opus":0.07040871867901945,"score_gpt":0.32353883972335573,"score_spread":0.2531301210443363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121772224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93633413,0.010378797,0.0000012719835,0.0012752828,0.00081833923,0.0009466328,0.00067455374,0.000027364382,0.04954363],"genre_scores_gemma":[0.8762058,0.11745982,0.00015330964,0.000064347194,0.0002132267,0.00022461887,0.000103240236,0.000052093324,0.0055235554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966498,0.00011058693,0.0012167693,0.0009924946,0.00009283396,0.0009375138],"domain_scores_gemma":[0.9977126,0.0003801202,0.0004021914,0.0012736216,0.000056757133,0.0001746845],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014294789,0.0003309022,0.0007463568,0.0008902572,0.0002855354,0.00059930654,0.0012131947,0.0005536003,0.0007941253],"category_scores_gemma":[0.00037478385,0.00030551568,0.00032497497,0.0002792952,0.00038856856,0.00018340442,0.0018310688,0.0021114193,0.00018498536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006180566,0.000360539,0.104516745,0.00019434711,0.0005415487,0.000024243285,0.0015579932,0.019705813,0.000056682267,0.79175526,0.00079147384,0.08043353],"study_design_scores_gemma":[0.0008088237,0.00006960958,0.11991543,0.00009907054,0.00000905458,0.0000028309855,0.00067994994,0.06963052,0.00003841516,0.7446546,0.06305322,0.0010384711],"about_ca_topic_score_codex":0.0013735121,"about_ca_topic_score_gemma":0.005218446,"teacher_disagreement_score":0.107081026,"about_ca_system_score_codex":0.0014603398,"about_ca_system_score_gemma":0.0001752722,"threshold_uncertainty_score":0.9999397},"labels":[],"label_agreement":null},{"id":"W3121772998","doi":"10.1007/s10640-020-00528-8","title":"Fisheries Optimal Harvest Under Price and Biomass Uncertainty","year":2021,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Fishery; Renewable resource; Biomass (ecology); Resource (disambiguation); Cash flow; Fish <Actinopterygii>; Halibut; Economics; Renewable energy; Ecology; Computer science; Biology","score_opus":0.012789253966576252,"score_gpt":0.16300325452482986,"score_spread":0.1502140005582536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121772998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97822315,0.016299056,0.00003416867,0.0012132408,0.00006942867,0.000060188813,0.00015582134,0.000014121031,0.0039308383],"genre_scores_gemma":[0.97910666,0.01122768,0.00043050878,0.0006275382,0.000092577095,0.000007663894,0.00012355739,0.000024372981,0.008359456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896604,0.000011677443,0.0003273597,0.00046271252,0.00001748977,0.00021473136],"domain_scores_gemma":[0.9995061,0.000030476274,0.00013507652,0.00019227444,0.0000014458124,0.00013462518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120480545,0.00016747473,0.00029578892,0.00006680687,0.00018668335,0.00014933979,0.000071771574,0.00010456402,0.0006273579],"category_scores_gemma":[0.0000051648453,0.00018236288,0.000087511115,0.000041425013,0.00026945947,0.00018932048,0.00018363829,0.00010213198,0.00012647237],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012935189,0.0007651316,0.46967936,0.00011958794,0.0012632997,0.00007102882,0.0041192733,0.003394937,0.002039206,0.51047635,0.003620617,0.0043218723],"study_design_scores_gemma":[0.0016136313,0.00013192571,0.2785016,0.00001118782,0.000061439976,0.00009442158,0.004932458,0.011296963,0.0010849135,0.024954416,0.67628455,0.0010324562],"about_ca_topic_score_codex":0.00008131711,"about_ca_topic_score_gemma":0.000035249734,"teacher_disagreement_score":0.6726639,"about_ca_system_score_codex":0.00008170523,"about_ca_system_score_gemma":0.000005831266,"threshold_uncertainty_score":0.7436543},"labels":[],"label_agreement":null},{"id":"W3121903335","doi":"10.1093/rof/rfv054","title":"International Firm Investment under Exchange Rate Uncertainty","year":2015,"lang":"en","type":"article","venue":"European Finance Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Volatility (finance); Foreign direct investment; Exchange rate; Economics; Monetary economics; Investment (military); Business; Financial economics; International economics; Macroeconomics","score_opus":0.09422753782581045,"score_gpt":0.262550706959677,"score_spread":0.16832316913386658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121903335","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003424529,0.7075056,0.00015265864,0.0046237474,0.00072817126,0.00026376444,0.00006280504,0.000053161657,0.28318557],"genre_scores_gemma":[0.028270325,0.93087876,0.00054862216,0.016398491,0.0003650658,0.000033575503,0.00014785967,0.000049498034,0.023307793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986132,0.00008436786,0.0006111564,0.0004025664,0.000059426562,0.00022927645],"domain_scores_gemma":[0.9990328,0.000014969724,0.0003776585,0.0004067557,0.000054571916,0.00011326061],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013781703,0.0001833763,0.0004284298,0.00010364991,0.000051891057,0.00005624298,0.00037292042,0.00002402796,0.00068826973],"category_scores_gemma":[0.000119930584,0.00017450585,0.00020425806,0.0003011463,0.000058365178,0.00020641794,0.0001397067,0.000113057766,0.008046701],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008179268,0.00015072041,0.00084462325,0.00029860483,0.00014763062,0.000045330446,0.00027373616,0.00025360828,0.0000024240387,0.7067682,0.2838302,0.007376724],"study_design_scores_gemma":[0.00031206524,0.00003522522,0.0020371212,0.0003314815,0.000019745967,0.0000035620876,0.00001146637,0.00040191022,0.0000020127638,0.00929227,0.9873191,0.00023405261],"about_ca_topic_score_codex":0.000057261997,"about_ca_topic_score_gemma":0.00000722955,"teacher_disagreement_score":0.7034889,"about_ca_system_score_codex":0.00016096886,"about_ca_system_score_gemma":0.000017625362,"threshold_uncertainty_score":0.9927257},"labels":[],"label_agreement":null},{"id":"W3122021557","doi":"10.5430/afr.v8n2p43","title":"Investor Protection and Capital Expenditures under Endogenous Time Inconsistency","year":2019,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information asymmetry; Agency cost; Agency (philosophy); Economics; Principal–agent problem; Microeconomics; Capital (architecture); Value (mathematics); Cost of capital; Capital expenditure; Business; Finance; Corporate governance; Incentive; Shareholder","score_opus":0.07490668378894794,"score_gpt":0.2601004295745518,"score_spread":0.18519374578560388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122021557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686029,0.024142902,0.000007956384,0.00040273843,0.00008804943,0.00029562679,0.000014173529,0.000022315227,0.006423337],"genre_scores_gemma":[0.99120337,0.004515688,0.0001027505,0.00006524023,0.00010544989,0.000038650687,0.000007675384,0.000018449027,0.0039427103],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987349,0.000034444394,0.00028338304,0.00047204053,0.00009025198,0.0003849866],"domain_scores_gemma":[0.99946576,0.000089445784,0.00011898952,0.0002352526,0.000045757683,0.000044775876],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012556107,0.00012438244,0.0002788258,0.00036594272,0.00031161777,0.00020347863,0.0001168562,0.000116492025,0.00016252087],"category_scores_gemma":[0.00008336724,0.00012554292,0.000052981126,0.00023705751,0.00017936471,0.00035982873,0.0001337166,0.00029980528,0.00091865985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008480882,0.0002025003,0.122430675,0.0002064529,0.0001773683,0.000018384735,0.0032727101,0.0000562973,0.0065024076,0.8609376,0.0012209794,0.004889803],"study_design_scores_gemma":[0.0027828673,0.0009572193,0.27785453,0.0002060918,0.000034677167,0.00015385717,0.0040182355,0.025353191,0.0020255565,0.61857814,0.06627599,0.0017596567],"about_ca_topic_score_codex":0.0015069395,"about_ca_topic_score_gemma":0.00003719006,"teacher_disagreement_score":0.24235949,"about_ca_system_score_codex":0.00005970382,"about_ca_system_score_gemma":0.00002327949,"threshold_uncertainty_score":0.9998592},"labels":[],"label_agreement":null},{"id":"W3122209165","doi":"","title":"Oil Volatility and the Option Value of Waiting: An Analysis of the G-7","year":2010,"lang":"en","type":"preprint","venue":"Research Repository UCD (University College Dublin)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Volatility (finance); Economics; Production (economics); Investment (military); Econometrics; Financial economics; Commodity; Empirical evidence; Monetary economics; Microeconomics; Finance","score_opus":0.04885235432582325,"score_gpt":0.2615328110703171,"score_spread":0.21268045674449387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122209165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99475026,0.0013786034,0.000036934496,0.00074180815,0.00019288983,0.00020452037,0.0006893575,0.0000113585165,0.0019942822],"genre_scores_gemma":[0.9899381,0.00064909685,0.00012527818,0.00000616522,0.00006136217,0.0000029482785,0.00003972817,0.000010516415,0.009166807],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977664,0.00053646415,0.0005476203,0.0006073257,0.0002851651,0.0002570562],"domain_scores_gemma":[0.9970344,0.00029474281,0.0008187245,0.0012795096,0.00045128656,0.00012137873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031461585,0.00017206423,0.00082305935,0.001205394,0.0007401219,0.000075020485,0.0010384846,0.00037538356,0.000047871727],"category_scores_gemma":[0.00020964669,0.00014087165,0.0007303306,0.001864282,0.0013655445,0.0002500088,0.0010715803,0.0010679952,0.0000022780355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014816501,0.00013402243,0.0012075498,0.00009247863,0.0011240205,0.0000042007246,0.0008063537,0.00037538118,0.00019586628,0.99581933,0.000046897243,0.000045754332],"study_design_scores_gemma":[0.00052429497,0.00003094237,0.02876082,0.00002610756,0.00045133897,7.787965e-7,0.0014281025,0.9628076,0.00013170693,0.00511671,0.00058711285,0.00013449689],"about_ca_topic_score_codex":0.008354725,"about_ca_topic_score_gemma":0.0012606514,"teacher_disagreement_score":0.9907026,"about_ca_system_score_codex":0.00019279674,"about_ca_system_score_gemma":0.00017958741,"threshold_uncertainty_score":0.9982487},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W3122295356","doi":"10.3386/w13250","title":"Investment, Consumption, and Hedging under Incomplete Markets","year":2007,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Consumption (sociology); Investment (military); Incomplete markets; Economics; Business; Financial economics; Monetary economics; Microeconomics","score_opus":0.44359883456993526,"score_gpt":0.4712582885390347,"score_spread":0.027659453969099412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122295356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60828453,0.056074534,0.00021828574,0.0030810551,0.00082987605,0.0011857698,0.00069948926,0.000051731433,0.32957476],"genre_scores_gemma":[0.9845366,0.010472523,0.00085967797,0.00031452105,0.00034683698,0.000063187734,0.00046566786,0.000041607836,0.002899406],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973853,0.00009325642,0.0011149102,0.0007925424,0.00019567629,0.00041828977],"domain_scores_gemma":[0.99797225,0.0006734492,0.00056237105,0.0003827581,0.00023589485,0.0001732715],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006010669,0.00024264862,0.00065933005,0.0019786726,0.00017736324,0.00016807215,0.0004178654,0.00035625754,0.0010640502],"category_scores_gemma":[0.0002577286,0.00029188266,0.00021251499,0.00016384438,0.0005599901,0.00018360076,0.00075542624,0.00070706505,0.00054311246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003676348,0.00005507153,0.01450708,0.0001227274,0.0003087171,0.0000013005264,0.00009494451,0.0005068543,0.000014335947,0.97958094,0.0047069956,0.000064266154],"study_design_scores_gemma":[0.00042574582,0.00002333925,0.025236003,0.000049099894,0.000010682368,0.000003005795,0.00004338772,0.007927693,0.000054398715,0.96285146,0.0031116363,0.00026352942],"about_ca_topic_score_codex":0.0010131411,"about_ca_topic_score_gemma":0.00014922972,"teacher_disagreement_score":0.37625206,"about_ca_system_score_codex":0.00088372675,"about_ca_system_score_gemma":0.00019522247,"threshold_uncertainty_score":0.9999533},"labels":[],"label_agreement":null},{"id":"W3122429072","doi":"","title":"Anchoring on the Acquisition Premium Decisions of Others","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anchoring; Premise; Salient; Focal point; Business; Marketing; Cardinal point; Economics; Psychology; Computer science; Social psychology; Artificial intelligence","score_opus":0.04057087623417714,"score_gpt":0.234913824459214,"score_spread":0.19434294822503684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122429072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95182794,0.03338599,0.0027331393,0.0016637875,0.00027988793,0.00009290098,0.000009155879,0.00001105613,0.009996153],"genre_scores_gemma":[0.9903075,0.00805651,0.000037451875,0.00009671168,0.00019456784,0.0000025301292,0.0000016286654,0.000010617447,0.0012924811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891067,0.000019003457,0.00032252521,0.00011812737,0.000057474248,0.0005722266],"domain_scores_gemma":[0.9994142,0.000054089225,0.00027248706,0.00016933348,0.00003359462,0.000056310044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017060654,0.00007619006,0.00016468408,0.00015677427,0.000098703924,0.00003494225,0.00019696586,0.000039378072,0.00007538582],"category_scores_gemma":[0.00008084248,0.000055595236,0.00014924341,0.00018200504,0.000033693388,0.00011716344,0.00001784049,0.0004380488,0.00014955098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018384855,0.000035878984,0.0021794469,3.728687e-7,0.000100556346,2.7422695e-7,0.00020677109,0.00021108726,0.00001531297,0.9960955,0.0005094271,0.0006270375],"study_design_scores_gemma":[0.0002961156,0.00019324027,0.00047763292,0.000010468781,0.000013533571,0.00001683373,0.0012485068,0.0006918087,0.00012080865,0.9955863,0.0012631373,0.00008161277],"about_ca_topic_score_codex":0.00007335633,"about_ca_topic_score_gemma":0.0000755222,"teacher_disagreement_score":0.038479567,"about_ca_system_score_codex":0.00042343393,"about_ca_system_score_gemma":0.00014028583,"threshold_uncertainty_score":0.2267108},"labels":[],"label_agreement":null},{"id":"W3122485085","doi":"","title":"Option Pricing: Real and Risk-Neutral Distributions","year":2005,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economics; Valuation of options; Black–Scholes model; Risk neutral; Premise; Rational pricing; Financial economics; Microeconomics; Econometrics; Capital asset pricing model; Volatility (finance)","score_opus":0.023074422539577855,"score_gpt":0.19981216782199376,"score_spread":0.1767377452824159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122485085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96418405,0.0069942027,0.0018270492,0.0007636598,0.00017053059,0.00041649924,0.0057667694,0.00008946752,0.019787773],"genre_scores_gemma":[0.85237515,0.13255209,0.007730136,0.000025890527,0.00015556655,0.000002188367,0.0014461539,0.00004455664,0.0056682816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99770665,0.000127502,0.0006053161,0.00097601017,0.00012017493,0.00046431876],"domain_scores_gemma":[0.99757504,0.00013419117,0.001037191,0.00087644457,0.00008828295,0.0002888314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004922574,0.00043620338,0.00095185306,0.00058557175,0.00059768686,0.00006290659,0.00079969404,0.0003564139,0.00024129794],"category_scores_gemma":[0.00007676649,0.0005800836,0.00070512487,0.0002332885,0.0007634048,0.00022318165,0.0014612116,0.0010606338,0.00007401425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005744406,0.0013476826,0.10941761,0.00056503224,0.0033398573,0.00011391058,0.039021622,0.0024280704,0.00011334047,0.83256555,0.0034246796,0.007088202],"study_design_scores_gemma":[0.003673456,0.0005295071,0.47914612,0.00052340474,0.0014533224,0.000035990994,0.011060564,0.16777712,0.000058187383,0.24981257,0.08312258,0.0028071713],"about_ca_topic_score_codex":0.021665446,"about_ca_topic_score_gemma":0.0062935348,"teacher_disagreement_score":0.582753,"about_ca_system_score_codex":0.0003449977,"about_ca_system_score_gemma":0.000103220096,"threshold_uncertainty_score":0.9996651},"labels":[],"label_agreement":null},{"id":"W3122627438","doi":"10.1111/j.1755-053x.2009.01058.x","title":"Investment Timing for Dynamic Business Expansion","year":2009,"lang":"en","type":"article","venue":"Financial Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Investment (military); Earnings; Economics; Rate of return; Returns to scale; Return on investment; Deferral; Capital (architecture); Return of capital; Monetary economics; Microeconomics; Econometrics; Investment performance; Finance; Production (economics)","score_opus":0.024316130224498807,"score_gpt":0.22527412752161263,"score_spread":0.20095799729711383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122627438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58947897,0.033672027,0.21617076,0.012505835,0.0043128687,0.005504657,0.0003585813,0.0005764226,0.13741986],"genre_scores_gemma":[0.9695845,0.0024043983,0.010959136,0.0044412985,0.00020989253,0.0001726961,0.00016836208,0.000029752695,0.012029955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988302,0.000003838643,0.00042526147,0.0003978498,0.000044195516,0.00029865614],"domain_scores_gemma":[0.99945724,0.000008475699,0.00017186861,0.0002780802,0.00002792114,0.000056404806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020450568,0.00016266409,0.00029436295,0.00029981323,0.00016094254,0.00006221265,0.00017812659,0.00006076853,0.00007284997],"category_scores_gemma":[0.000027038615,0.00017891549,0.00015675057,0.00039485452,0.000021434022,0.00015816455,0.000047073085,0.00004619119,0.00026321498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001985505,0.00013992425,0.00014672156,0.000039064253,0.00002709748,0.000006094095,0.00011240397,0.0001968825,0.00001590001,0.982296,0.0054634223,0.011536649],"study_design_scores_gemma":[0.0011307676,0.00017195324,0.12610792,0.000046588942,0.000059551316,7.2376974e-7,0.00005312901,0.009592567,0.00004451561,0.60022527,0.26205397,0.00051305705],"about_ca_topic_score_codex":0.000031712738,"about_ca_topic_score_gemma":0.000015538126,"teacher_disagreement_score":0.38207072,"about_ca_system_score_codex":0.00013404519,"about_ca_system_score_gemma":0.0000075385733,"threshold_uncertainty_score":0.7295962},"labels":[],"label_agreement":null},{"id":"W3122662712","doi":"10.1142/s0219024917500443","title":"IRREVERSIBLE INVESTMENTS AND AMBIGUITY AVERSION","year":2017,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of the Sunshine Coast","keywords":"Ambiguity aversion; Ambiguity; Economics; Valuation (finance); Microeconomics; Complementarity (molecular biology); Mathematical economics; Econometrics; Incomplete markets; Risk aversion (psychology); Complete market; Expected utility hypothesis; Computer science; Finance","score_opus":0.01457889584248352,"score_gpt":0.23247722921192748,"score_spread":0.21789833336944398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122662712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772023,0.0019412043,0.00029510047,0.0030609858,0.0003845702,0.000038588452,0.000023143273,0.0000029561872,0.017051183],"genre_scores_gemma":[0.9935424,0.0048482027,0.0008566634,0.00032066143,0.0001174884,8.6676744e-7,0.0000013881405,0.000004585736,0.00030777167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940664,0.0000036333681,0.00029605598,0.00013731241,0.00006498635,0.00009134647],"domain_scores_gemma":[0.999313,0.00002404919,0.00044676778,0.000114393086,0.000040916464,0.000060884868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002665154,0.00007756447,0.00021058644,0.000087812856,0.00013468647,0.00015712077,0.00030598414,0.000048517355,0.00010296231],"category_scores_gemma":[0.00006921875,0.00006842662,0.000066951434,0.000018506727,0.00044205657,0.00019909162,0.00015383962,0.000111824804,0.000028156219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052614003,0.00003828846,0.005077578,0.0000029372418,0.0000613637,0.0000083746845,0.00007268913,0.0000027503495,0.00005979121,0.99231124,0.0003216827,0.001990669],"study_design_scores_gemma":[0.0007874967,0.000047754682,0.037010495,0.000024562569,0.000014097464,0.000018249713,0.000027135628,0.00070907373,0.0006550531,0.95454097,0.006057129,0.00010795851],"about_ca_topic_score_codex":0.000013829951,"about_ca_topic_score_gemma":7.46195e-7,"teacher_disagreement_score":0.037770268,"about_ca_system_score_codex":0.00002707956,"about_ca_system_score_gemma":0.0000063612124,"threshold_uncertainty_score":0.27903566},"labels":[],"label_agreement":null},{"id":"W3123051481","doi":"10.5018/economics-ejournal.ja.2009-34","title":"Inventory Investment and the Real Interest Rate","year":2009,"lang":"en","type":"article","venue":"Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Investment (military); Interest rate; Economics; Business; Monetary economics; Political science","score_opus":0.035077437353695215,"score_gpt":0.2080817523514693,"score_spread":0.17300431499777408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123051481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93615896,0.0065812124,0.000013079327,0.004807335,0.00024356377,0.00015667647,0.000017616223,0.000025929328,0.05199563],"genre_scores_gemma":[0.9748209,0.017302196,0.00009731612,0.0049109664,0.00015763045,0.000011115082,0.000014769779,0.000011799273,0.0026733144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907225,0.000020165893,0.00044228247,0.00027768695,0.000006864575,0.00018075178],"domain_scores_gemma":[0.99935746,0.00003814921,0.00022902309,0.0002847263,0.000006679634,0.00008393326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005738505,0.00013013769,0.00032385605,0.00011558835,0.00010915622,0.00012519668,0.00016862385,0.00005595653,0.00011084277],"category_scores_gemma":[0.000025362951,0.000109519206,0.00013171672,0.00006549973,0.00017664598,0.00018159847,0.000049759834,0.00009977739,0.00032750168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000232587,0.000022480126,0.0023846342,0.0000015036907,0.000051580246,6.821947e-7,0.00038351453,0.000025695948,0.0000018777368,0.9956529,0.0011832014,0.0002686816],"study_design_scores_gemma":[0.001417327,0.00006272123,0.016774897,0.000004013687,0.000020486568,0.0000020315247,0.00012204961,0.013551837,0.00003465421,0.9263894,0.04138581,0.00023474675],"about_ca_topic_score_codex":0.00020279901,"about_ca_topic_score_gemma":0.00013195345,"teacher_disagreement_score":0.069263466,"about_ca_system_score_codex":0.00008331196,"about_ca_system_score_gemma":0.0000095457335,"threshold_uncertainty_score":0.44660637},"labels":[],"label_agreement":null},{"id":"W3123114061","doi":"10.1016/s0263-7863(01)00045-x","title":"Understanding and managing risks in large engineering projects","year":2001,"lang":"en","type":"article","venue":"International Journal of Project Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":347,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Hydro-Québec","funders":"","keywords":"Risk management; Risk analysis (engineering); Business; Coping (psychology); Process (computing); Control (management); Finance; Economics; Computer science","score_opus":0.14353630643136464,"score_gpt":0.2900436102705216,"score_spread":0.14650730383915697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123114061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8818189,0.011357014,0.057673752,0.002609063,0.0018309725,0.00051294296,0.000018972101,0.0000345062,0.044143874],"genre_scores_gemma":[0.9904392,0.007943499,0.0010670186,0.00009074202,0.00009811107,0.000003912602,0.0000021256972,0.000009004684,0.00034643218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99917483,0.0000061380565,0.00045526025,0.00013159368,0.00008690331,0.00014529847],"domain_scores_gemma":[0.99961233,0.000015040205,0.00026543933,0.0000592105,0.000022689579,0.000025309804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005332433,0.00008255535,0.00017293492,0.0012675113,0.000022382623,0.000100952915,0.0001773811,0.000023326917,0.00004051973],"category_scores_gemma":[0.000018444664,0.000084440304,0.000074539304,0.00022364182,0.000010233659,0.00028527842,0.0000881059,0.0001067485,0.000009148134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045164663,0.00012150635,0.1436897,0.000027881124,0.00049789785,0.0004753725,0.0009163911,0.0008846349,0.0000048098605,0.8524377,0.00037115664,0.0005277908],"study_design_scores_gemma":[0.011905215,0.00043132063,0.3042864,0.00093613856,0.0001844252,0.00044683716,0.012506139,0.24720609,0.000057597066,0.30093178,0.11966989,0.001438194],"about_ca_topic_score_codex":0.00010652662,"about_ca_topic_score_gemma":0.00003334777,"teacher_disagreement_score":0.5515059,"about_ca_system_score_codex":0.00027949922,"about_ca_system_score_gemma":0.0000050347985,"threshold_uncertainty_score":0.34433755},"labels":[],"label_agreement":null},{"id":"W3123140738","doi":"10.1111/j.1540-6261.2006.01064.x","title":"Executive Stock Options: Early Exercise Provisions and Risk‐taking Incentives","year":2006,"lang":"en","type":"article","venue":"The Journal of Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Vesting; Stock options; Incentive; Non-qualified stock option; Business; Executive compensation; Restricted stock; Stock (firearms); Stock price; Actuarial science; Finance; Economics; Microeconomics; Engineering","score_opus":0.017459744057172457,"score_gpt":0.21644253126901986,"score_spread":0.1989827872118474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123140738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90669686,0.09134169,0.000683491,0.00021920286,0.00010447158,0.0000988807,0.000029276322,0.000004673761,0.00082147244],"genre_scores_gemma":[0.9468761,0.050715648,0.000890975,0.000016603906,0.00009638994,0.0000026931539,7.949179e-7,0.000008888367,0.0013918823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99914557,0.000026697504,0.0005172014,0.00011198413,0.000047263406,0.00015126687],"domain_scores_gemma":[0.998035,0.0000729402,0.0016572506,0.00015104408,0.000056006775,0.000027764068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058947736,0.0001008351,0.000288875,0.00016635313,0.00029984317,0.00007851805,0.00018521571,0.000039930703,0.000022124905],"category_scores_gemma":[0.000065646425,0.00007467989,0.00012055651,0.00024006589,0.0001581862,0.0003364269,0.000044211458,0.00020450674,0.000027126645],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021222381,0.000420532,0.35831845,0.00002206078,0.0002654899,0.000022541724,0.0060197515,0.002271267,0.00013679128,0.61878026,0.005131274,0.00839937],"study_design_scores_gemma":[0.00056964235,0.0001547956,0.8366581,0.000115151655,0.00011189113,0.000018376302,0.00024450323,0.0018164635,0.00016751424,0.15460452,0.005356722,0.00018231475],"about_ca_topic_score_codex":0.00075359887,"about_ca_topic_score_gemma":0.00004201886,"teacher_disagreement_score":0.47833967,"about_ca_system_score_codex":0.000036659058,"about_ca_system_score_gemma":0.000015338248,"threshold_uncertainty_score":0.30453575},"labels":[],"label_agreement":null},{"id":"W3123143732","doi":"10.1287/isre.2019.0854","title":"Software Patents and Firm Value: A Real Options Perspective on the Role of Innovation Orientation and Environmental Uncertainty","year":2019,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Dynamism; Industrial organization; Business; Portfolio; Software; Value (mathematics); Enterprise value; Software development; Market orientation; Marketing; Computer science; Finance","score_opus":0.04065897564419501,"score_gpt":0.27791210361170443,"score_spread":0.23725312796750941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123143732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935177,0.0011499939,0.000035883473,0.00011087692,0.000050125698,0.00044746825,0.00015813793,0.00000665874,0.004523144],"genre_scores_gemma":[0.9984762,0.0010667413,0.000017841443,0.000016769036,0.000013970179,0.00003816003,0.000108163025,0.0000033383521,0.00025881326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99921364,0.000047437377,0.00039571777,0.00010902198,0.00012904334,0.00010514569],"domain_scores_gemma":[0.999404,0.00011466969,0.00021436137,0.00013964038,0.00010499388,0.000022329536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012148442,0.000054976335,0.000117950796,0.0004302057,0.00013624338,0.000100191435,0.000059579655,0.000047291334,0.00004092636],"category_scores_gemma":[0.000113706614,0.00004418923,0.00001857969,0.000392972,0.00007551073,0.00050479016,0.000041999476,0.00010271593,0.0001693112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022162696,0.000016739725,0.04337597,0.000019650308,0.000030478703,3.326459e-8,0.004131606,0.00045258942,0.00005257045,0.9515808,0.000062734056,0.00025467292],"study_design_scores_gemma":[0.002153333,0.0008099214,0.35248846,0.0001425778,0.000018345163,0.000007145371,0.22602232,0.2933568,0.0004610155,0.10650078,0.017541982,0.00049730024],"about_ca_topic_score_codex":0.0021470848,"about_ca_topic_score_gemma":0.0000042972565,"teacher_disagreement_score":0.84508,"about_ca_system_score_codex":0.00017562673,"about_ca_system_score_gemma":0.000011982316,"threshold_uncertainty_score":0.3245764},"labels":[],"label_agreement":null},{"id":"W3123192193","doi":"10.1142/s0219024909005361","title":"INVESTMENT TIMING UNDER REGIME SWITCHING","year":2009,"lang":"en","type":"article","venue":"International Journal of Theoretical and Applied Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Investment (military); Markov chain; Economics; Optimal stopping; Boundary (topology); Investment strategy; Markov decision process; Investment decisions; Microeconomics; Econometrics; Markov process; Computer science; Financial economics; Mathematics; Statistics","score_opus":0.01541649162173098,"score_gpt":0.23156223720927457,"score_spread":0.2161457455875436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123192193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90551406,0.007775025,0.014912297,0.017974883,0.0005719961,0.000090842645,0.00001293167,0.00001551931,0.053132433],"genre_scores_gemma":[0.99267024,0.0016030651,0.0024042348,0.0029182583,0.00022577417,9.1157733e-7,0.0000016113681,0.0000057196457,0.000170182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913836,0.000004975704,0.00049784593,0.00014860036,0.00008500857,0.0001252099],"domain_scores_gemma":[0.9994235,0.000037426445,0.00035630947,0.00008012431,0.000042622574,0.00006001572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018624,0.00009880196,0.00025082513,0.00015007712,0.000044553628,0.00008072552,0.00023875311,0.000050717117,0.00010718441],"category_scores_gemma":[0.000029251993,0.00008547911,0.0001118109,0.00007210072,0.00010655249,0.00012334957,0.000035803405,0.00016177364,0.0000361136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045701407,0.00006574024,0.00008950648,0.0000010899357,0.000058659072,0.0000085468155,0.00012784258,0.00016714497,0.00021982142,0.99654907,0.00024218428,0.0024247013],"study_design_scores_gemma":[0.00042325864,0.00006505214,0.002299333,0.000023716824,0.000011070903,0.00003002074,0.00003814643,0.001518338,0.00051259995,0.9908204,0.0041451002,0.00011294273],"about_ca_topic_score_codex":0.0000024207536,"about_ca_topic_score_gemma":2.1159038e-7,"teacher_disagreement_score":0.08715617,"about_ca_system_score_codex":0.000052529318,"about_ca_system_score_gemma":0.00000907417,"threshold_uncertainty_score":0.34857368},"labels":[],"label_agreement":null},{"id":"W3123209743","doi":"","title":"Time Invariant Decision Rules and Land Development: A Dynamic and Stochastic Analysis *","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Terrain; Welfare economics; Forestry; Economics; Cartography","score_opus":0.015965277211165592,"score_gpt":0.1997723201714518,"score_spread":0.18380704296028622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123209743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98462707,0.012447878,0.0022894097,0.00026472122,0.00004815045,0.000028991493,0.000009639412,0.0000011485232,0.00028296656],"genre_scores_gemma":[0.9965228,0.000277522,0.002886652,0.00010044076,0.000008724472,4.4061557e-7,0.0000014361632,0.000003385822,0.00019858932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992086,0.0000075750695,0.00031823767,0.00018931972,0.00007212958,0.0002041032],"domain_scores_gemma":[0.9990813,0.00004923012,0.00021917428,0.00007969687,0.000063376654,0.00050718896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008454436,0.00007767377,0.00025003703,0.0012287963,0.0002863551,0.00014604855,0.00015092496,0.000030797775,0.0001144469],"category_scores_gemma":[0.00018128444,0.00006971153,0.0000578107,0.0007906065,0.0004386206,0.00027620868,0.000011544114,0.000069468726,0.000025423733],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033355886,0.0000678522,0.28496143,0.00001873304,0.0011004064,0.0002182537,0.005310187,0.0034643267,0.0001628194,0.69814724,0.0006501625,0.0058652335],"study_design_scores_gemma":[0.0010839067,0.0001478852,0.76032853,0.00009437946,0.00027744158,0.00060330017,0.00035929188,0.04706153,0.000020831598,0.17172638,0.017556623,0.0007398792],"about_ca_topic_score_codex":0.00074630074,"about_ca_topic_score_gemma":0.006791372,"teacher_disagreement_score":0.5264209,"about_ca_system_score_codex":0.00013021164,"about_ca_system_score_gemma":0.00042787593,"threshold_uncertainty_score":0.3789745},"labels":[],"label_agreement":null},{"id":"W3123390756","doi":"","title":"The Role of Real Options in Capital Budgeting: Theory and Practice","year":2007,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Discounted cash flow; Remotely operated underwater vehicle; Valuation (finance); Cash flow; Discounting; Actuarial science; Portfolio; Economics; Computer science; Econometrics; Finance; Artificial intelligence","score_opus":0.012928676637872302,"score_gpt":0.24032690695604383,"score_spread":0.22739823031817152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123390756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7426828,0.03369715,0.00014773323,0.0004419241,0.00004987845,0.00007389357,0.0000061330934,0.000008829074,0.22289164],"genre_scores_gemma":[0.98466396,0.013116847,0.0004807822,0.000050558036,0.000022877794,0.0000021175858,0.0000020022317,0.000004575802,0.0016562951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994114,0.000019962412,0.0003116069,0.00011685544,0.000017551714,0.00012261808],"domain_scores_gemma":[0.99904144,0.0006530515,0.00014234717,0.00011804191,0.000015963044,0.000029144267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002465693,0.000047747428,0.00011195973,0.000111478206,0.00006652607,0.000026134085,0.00006461213,0.000034666773,0.000050972776],"category_scores_gemma":[0.0002979571,0.00003731629,0.00004216491,0.00014658477,0.000085399355,0.00013349151,0.000031147574,0.000058328897,0.00003236281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027156684,0.00003737675,0.012307633,9.846418e-7,0.000022595503,6.605789e-7,0.00077286694,0.0000033741971,0.000067880996,0.9860785,0.000021853253,0.00065909006],"study_design_scores_gemma":[0.00025404253,0.00004688691,0.087243274,0.0000026671835,0.000014399482,0.0000042718857,0.015725914,0.00059118064,0.00027523862,0.8793426,0.016371552,0.00012797161],"about_ca_topic_score_codex":0.0012245458,"about_ca_topic_score_gemma":0.00065943756,"teacher_disagreement_score":0.24198113,"about_ca_system_score_codex":0.000019349403,"about_ca_system_score_gemma":0.000004319437,"threshold_uncertainty_score":0.1851155},"labels":[],"label_agreement":null},{"id":"W3123509045","doi":"","title":"Company Flexibility, the Value of Management and Managerial Compensation","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Volatility (finance); Economics; Welfare economics; Microeconomics; Business; Humanities; Econometrics; Art","score_opus":0.05567774022438194,"score_gpt":0.29543285141993325,"score_spread":0.23975511119555132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123509045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8318417,0.0046843435,0.000013528709,0.0005136188,0.0005403274,0.0010753073,0.00013301414,0.000015409645,0.16118276],"genre_scores_gemma":[0.9511103,0.044966973,0.000708667,0.00008327659,0.00008759525,0.000100517194,0.00006380794,0.000034888333,0.0028439506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99744743,0.00015106934,0.0010717501,0.0008233489,0.00008808314,0.0004183206],"domain_scores_gemma":[0.9982038,0.00019630598,0.00046008025,0.0010165193,0.00003819083,0.00008511363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027627943,0.00024333634,0.0007338459,0.00061365677,0.00014862916,0.00015652513,0.0005431859,0.00022798708,0.0001455208],"category_scores_gemma":[0.0000759892,0.000238421,0.00023077914,0.00018577506,0.0005139757,0.00008014283,0.00096982846,0.00064774795,0.000022784357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006166221,0.00022486123,0.021799367,0.00037246465,0.0005561356,0.0000068312365,0.00054913934,0.008990931,0.000003999029,0.9583385,0.00015524618,0.008940887],"study_design_scores_gemma":[0.0016667884,0.00012286264,0.16300377,0.00017013167,0.000079748424,0.000004434266,0.0012908739,0.09134056,0.00006378963,0.70901513,0.032370865,0.0008710555],"about_ca_topic_score_codex":0.00037817488,"about_ca_topic_score_gemma":0.00016921117,"teacher_disagreement_score":0.24932337,"about_ca_system_score_codex":0.00039155688,"about_ca_system_score_gemma":0.000037454596,"threshold_uncertainty_score":0.9722526},"labels":[],"label_agreement":null},{"id":"W3123630033","doi":"","title":"The Valuation of American Options on Multiple Assets","year":2004,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Valuation (finance); Asian option; Economics; Futures contract; Stochastic game; Financial economics; Valuation of options; Mathematical economics; Actuarial science; Finance","score_opus":0.06837064003055614,"score_gpt":0.3168816709752807,"score_spread":0.24851103094472454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123630033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948007,0.0073847943,0.00002492599,0.004408689,0.0012382076,0.0012036103,0.00055738486,0.000020482412,0.037154924],"genre_scores_gemma":[0.76115423,0.2304388,0.000531814,0.000052225914,0.0001915464,0.00021971604,0.00014896694,0.000057270103,0.0072054286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9957109,0.00028906332,0.0017837023,0.0011172865,0.0001798654,0.0009192001],"domain_scores_gemma":[0.99485785,0.002077037,0.0012472478,0.0014772577,0.00015776367,0.0001828315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040123058,0.0003903637,0.0010362233,0.0009676758,0.000515027,0.00023561233,0.0009501083,0.00035395907,0.0001334953],"category_scores_gemma":[0.0015591282,0.0004115523,0.0006481732,0.0005517326,0.0015418149,0.00014858173,0.0005362938,0.001465996,0.00019553308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013684401,0.0007546167,0.05976233,0.00007709413,0.0005633814,0.00000600772,0.00069048395,0.22505176,0.000022635335,0.61182594,0.000066912566,0.101042],"study_design_scores_gemma":[0.0022456916,0.0009909977,0.42358437,0.00049908063,0.000073802126,0.000004681526,0.002688303,0.2604658,0.00028354244,0.20912632,0.09870981,0.0013275909],"about_ca_topic_score_codex":0.002531848,"about_ca_topic_score_gemma":0.004351638,"teacher_disagreement_score":0.40269962,"about_ca_system_score_codex":0.0026139223,"about_ca_system_score_gemma":0.00037336227,"threshold_uncertainty_score":0.99983364},"labels":[],"label_agreement":null},{"id":"W3123665490","doi":"","title":"Contrasting Two Approaches in Real Options Valuation: Contingent Claims versus Dynamic Programming","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Valuation (finance); Dynamic programming; Economics; Constant (computer programming); Discounting; Econometrics; Actuarial science; Convenience yield; Investment (military); Stochastic discount factor; Mathematical economics; Mathematics; Computer science; Mathematical optimization; Financial economics; Finance; Capital asset pricing model; Spot contract","score_opus":0.1749850882867013,"score_gpt":0.34242315423252573,"score_spread":0.16743806594582442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123665490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91846126,0.0073725837,0.000024994764,0.00044764177,0.00091276906,0.0016975066,0.00014448613,0.000080236074,0.07085852],"genre_scores_gemma":[0.8689652,0.12617113,0.0025128727,0.0000152012535,0.00023589686,0.00066773524,0.00044477519,0.00008163056,0.0009055301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953616,0.00017808782,0.0017709046,0.0014723749,0.00014274093,0.0010742755],"domain_scores_gemma":[0.9976812,0.00047763617,0.0006811507,0.0008813015,0.00007607779,0.00020264777],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003264074,0.00043728526,0.0011335284,0.0015918365,0.00028318877,0.0002932982,0.00065470696,0.0004772148,0.00006672321],"category_scores_gemma":[0.0003852116,0.00055777206,0.00042805562,0.00044354904,0.00040694658,0.0002539486,0.0006943183,0.0017539292,0.000058821144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060397905,0.0018160687,0.1596007,0.00043640652,0.0014715055,0.0001737281,0.0064345356,0.23072787,0.000017787901,0.36082557,0.000040169412,0.23785166],"study_design_scores_gemma":[0.0051543834,0.00020478391,0.04047735,0.0002567892,0.000042963766,0.000009246088,0.002661018,0.90693355,0.000010820859,0.037803125,0.00500991,0.0014360748],"about_ca_topic_score_codex":0.0013547079,"about_ca_topic_score_gemma":0.0042286324,"teacher_disagreement_score":0.6762057,"about_ca_system_score_codex":0.0024689783,"about_ca_system_score_gemma":0.00026668273,"threshold_uncertainty_score":0.9996874},"labels":[],"label_agreement":null},{"id":"W3123707324","doi":"","title":"Predicting Systematic Risk: Implications from Growth Options","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Operating leverage; Leverage (statistics); Economics; Equity (law); Portfolio; Leverage effect; Systematic risk; Financial economics; Welfare economics; Finance; Volatility (finance); Profitability index; Computer science; Political science","score_opus":0.04453700525726103,"score_gpt":0.2856523213745604,"score_spread":0.2411153161172994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123707324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85665447,0.02280498,0.000094043724,0.0013650263,0.00073630566,0.0026153342,0.003313355,0.00018358052,0.112232916],"genre_scores_gemma":[0.8603941,0.13481018,0.0015938602,0.00007945926,0.00041681694,0.0006784878,0.0005152244,0.0000797108,0.0014321181],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99563026,0.00022064161,0.0019303096,0.0013747088,0.00009127119,0.0007528305],"domain_scores_gemma":[0.99624586,0.0006551868,0.001100715,0.0016341826,0.00011110339,0.00025297585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025490748,0.00039767486,0.0013328753,0.0013020101,0.0003899784,0.00042182865,0.0010361931,0.0005544317,0.00019161832],"category_scores_gemma":[0.0010675282,0.00046804707,0.0005625708,0.0003534873,0.00019538535,0.00020467807,0.00068948214,0.001751306,0.00024834156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003831902,0.0009233543,0.43111643,0.003042868,0.0018364331,0.0000181863,0.0021698766,0.016599528,0.000017341205,0.5403161,0.00032611328,0.0035954323],"study_design_scores_gemma":[0.0006597746,0.000079769066,0.13423921,0.0014647156,0.0001235729,0.0000035537619,0.00071684975,0.0967013,0.000016848891,0.76433396,0.0006450086,0.0010154011],"about_ca_topic_score_codex":0.0026076853,"about_ca_topic_score_gemma":0.0010277666,"teacher_disagreement_score":0.29687724,"about_ca_system_score_codex":0.0012498666,"about_ca_system_score_gemma":0.00014316977,"threshold_uncertainty_score":0.99977714},"labels":[],"label_agreement":null},{"id":"W3123724307","doi":"10.3917/rsg.236.0035","title":"Valoriser l'incertitude : Comprendre la dynamique des options réelles","year":2009,"lang":"fr","type":"article","venue":"˜La œRevue des sciences de gestion/˜La œRevue des sciences de gestion, Direction et gestion","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.10997309740038887,"score_gpt":0.3087170804257852,"score_spread":0.19874398302539636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123724307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7568211,0.07177703,0.10156227,0.038049668,0.0037989987,0.0010904768,0.00034867253,0.00083245646,0.02571932],"genre_scores_gemma":[0.8674382,0.06322792,0.05471496,0.00053380674,0.0006743068,0.00014813548,0.0001153815,0.000062542495,0.013084763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9922733,0.0018296423,0.0016822752,0.0020888322,0.00044957697,0.0016764265],"domain_scores_gemma":[0.99540925,0.0016334057,0.001122832,0.0006383662,0.00051800016,0.0006781527],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.009493073,0.0008998564,0.0009901052,0.001984714,0.005840228,0.0023489853,0.0012698934,0.0010379824,0.0004866855],"category_scores_gemma":[0.0022535424,0.0010651399,0.0006720936,0.0053149555,0.0124561805,0.0040721693,0.00018553405,0.0012158334,0.00032661535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035309793,0.001008924,0.054902997,0.0002357446,0.00008570572,0.000044259017,0.006009001,0.50622773,0.00034687397,0.4085857,0.001926356,0.020591393],"study_design_scores_gemma":[0.00040787173,0.0006517823,0.38487986,0.0011157648,0.00019978358,0.001212636,0.0005950571,0.34242448,0.00006459751,0.26236206,0.0051472727,0.0009388028],"about_ca_topic_score_codex":0.0038003973,"about_ca_topic_score_gemma":0.0053068073,"teacher_disagreement_score":0.32997686,"about_ca_system_score_codex":0.002950877,"about_ca_system_score_gemma":0.0005888284,"threshold_uncertainty_score":0.9991799},"labels":[],"label_agreement":null},{"id":"W3123740747","doi":"10.1093/rfs/hhq083","title":"SEO Risk Dynamics","year":2010,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Columbia university; Dynamics (music); Library science; Management; Sociology; Media studies; Computer science; Economics; Pedagogy","score_opus":0.024892669958844368,"score_gpt":0.2631521389968327,"score_spread":0.23825946903798834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123740747","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.097534716,0.89542407,0.000039173425,0.0006489665,0.000580458,0.00016635284,0.00017212845,0.000015941147,0.005418221],"genre_scores_gemma":[0.07829893,0.920054,0.0005578373,0.00035143134,0.00013402085,0.000018726678,0.000010472776,0.00000881297,0.00056576374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989845,0.000008791531,0.0006164561,0.00020656627,0.000034659006,0.00014901721],"domain_scores_gemma":[0.9990779,0.00004251951,0.00052112894,0.00025175046,0.00007365537,0.000033010245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055851653,0.00012083187,0.0007386583,0.00007977145,0.00010305317,0.000006665961,0.00014699766,0.000050920626,0.00014005849],"category_scores_gemma":[0.0009857933,0.000108296386,0.00029958558,0.00029759295,0.00012987824,0.00007402765,0.000068945454,0.00016441345,0.0002384027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017803546,0.00005696633,0.023812378,0.0014173709,0.00011546667,0.0000012220346,0.0001135201,3.6291718e-7,0.000002389711,0.9551421,0.007064937,0.012271513],"study_design_scores_gemma":[0.00047754776,0.00016726245,0.13696456,0.0018943037,0.0003156413,0.0000034896937,0.00008126258,0.00050836866,0.00007253301,0.2816538,0.5771033,0.0007578961],"about_ca_topic_score_codex":0.00015604487,"about_ca_topic_score_gemma":0.00045021987,"teacher_disagreement_score":0.6734883,"about_ca_system_score_codex":0.000031850217,"about_ca_system_score_gemma":0.000012802779,"threshold_uncertainty_score":0.44161987},"labels":[],"label_agreement":null},{"id":"W3123778548","doi":"","title":"Some Important Issues Involving Real Options: An Overview","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; Risk analysis (engineering)","score_opus":0.07053817314452286,"score_gpt":0.28941474068636613,"score_spread":0.21887656754184326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123778548","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10968935,0.88903236,0.000007879497,0.0007814384,0.00024847538,0.00005777295,0.000008451029,0.000030232783,0.00014401405],"genre_scores_gemma":[0.0425916,0.95320034,0.00022338888,0.00015136307,0.00080001156,0.0000047609888,0.000020027715,0.000024658062,0.002983852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99776614,0.00003210972,0.0006647404,0.00025941912,0.00007725999,0.0012003136],"domain_scores_gemma":[0.99907917,0.000008802891,0.0004075941,0.00024811496,0.000051873958,0.00020445866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023972902,0.00015482465,0.0003493924,0.0002735402,0.00016758597,0.00015971733,0.00026753295,0.000080546735,0.00008504805],"category_scores_gemma":[0.000053326938,0.00015094188,0.00019417636,0.00023220626,0.000038989845,0.0009284352,0.000038566053,0.0006645427,0.00026900205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007958467,0.000072037765,0.007871897,0.000002574593,0.00013597978,0.0000037030982,0.0002750384,0.000028581582,0.000009275507,0.9912408,0.00029850536,0.000053628046],"study_design_scores_gemma":[0.0003793629,0.00025309736,0.0007999073,0.000007920907,0.000025669806,0.000057557416,0.0013895886,0.0020170445,0.0000064984933,0.9922512,0.0026006552,0.00021148987],"about_ca_topic_score_codex":0.001462689,"about_ca_topic_score_gemma":0.0014975582,"teacher_disagreement_score":0.067097746,"about_ca_system_score_codex":0.00086089043,"about_ca_system_score_gemma":0.00040048736,"threshold_uncertainty_score":0.6155231},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3123903301","doi":"10.1016/j.ijindorg.2012.07.005","title":"A dynamic duopoly investment game without commitment under unecrtain market expansion","year":2012,"lang":"en","type":"article","venue":"Toulouse Capitole Publications (University Toulouse 1 Capitole)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Duopoly; Microeconomics; Cournot competition; Economics; Investment (military); Preemption; Volatility (finance); Markov perfect equilibrium; Oligopoly; Production (economics); Revenue; Industrial organization; Nash equilibrium; Financial economics; Finance","score_opus":0.023324200024584685,"score_gpt":0.21688979199349795,"score_spread":0.19356559196891326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123903301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9409407,0.014133042,0.004137723,0.008583244,0.000970132,0.0013007933,0.00057803054,0.0007619989,0.028594371],"genre_scores_gemma":[0.9393709,0.0032677846,0.0024318793,0.0015526029,0.00019910479,0.000058052265,0.00047891567,0.000116659605,0.05252416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651396,0.00015771044,0.00083739974,0.0010169146,0.0002703382,0.0012036498],"domain_scores_gemma":[0.9963299,0.00011543613,0.00074919144,0.0017283618,0.00018753247,0.00088954944],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007764465,0.0006068654,0.00088673364,0.0016572119,0.00074215775,0.00026010955,0.0009867817,0.00038615035,0.0032188538],"category_scores_gemma":[0.0000760183,0.0007418563,0.00053905655,0.0016102047,0.00037600906,0.0018859948,0.0004285074,0.0004742003,0.0024198606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006777198,0.0017010844,0.025618775,0.00005399709,0.0006485435,0.000009253039,0.0054788226,0.00022570301,0.00015106949,0.91648746,0.049153514,0.00040400837],"study_design_scores_gemma":[0.0054790587,0.00032217358,0.14783345,0.0000861112,0.00069508253,0.000073952564,0.0195633,0.036861658,0.00026653192,0.045679595,0.7394944,0.0036447302],"about_ca_topic_score_codex":0.0021062284,"about_ca_topic_score_gemma":0.00072913885,"teacher_disagreement_score":0.8708079,"about_ca_system_score_codex":0.0014489854,"about_ca_system_score_gemma":0.00014038377,"threshold_uncertainty_score":0.99950325},"labels":[],"label_agreement":null},{"id":"W3123908417","doi":"10.1016/j.jmaa.2014.12.029","title":"Optimal exit strategies for investment projects","year":2015,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Optimal stopping; Mathematical optimization; Market liquidity; Investment (military); Variational inequality; Logarithm; Mean reversion; Bellman equation; Markov process; Mathematics; Viscosity solution; Cox–Ingersoll–Ross model; Process (computing); Mathematical economics; Economics; Econometrics; Applied mathematics; Computer science; Finance; Interest rate; Statistics","score_opus":0.07611706994306415,"score_gpt":0.2800694173017636,"score_spread":0.20395234735869944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123908417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10423466,0.007123747,0.87752944,0.0014403973,0.000024198655,0.0004059841,0.000053687523,0.000013141933,0.009174739],"genre_scores_gemma":[0.9106781,0.0011516745,0.08609586,0.000324,0.00030195978,0.0001868321,0.000021491094,0.000018438159,0.001221646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990104,0.0000068891923,0.0006790515,0.00013449542,0.000058681886,0.000110516616],"domain_scores_gemma":[0.99903,0.00006229024,0.0004904447,0.00013988782,0.00011518811,0.00016221155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005741813,0.000088352164,0.00047782948,0.00053167774,0.000060889986,0.000112251866,0.00011696856,0.000041813946,0.00006635626],"category_scores_gemma":[0.00004459712,0.0000691208,0.00031580142,0.0006885126,0.00005144653,0.00017248811,0.000021754548,0.000059703194,0.000031849275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005871867,0.00017133325,0.00039374662,0.000021142838,0.0007006354,3.7940902e-7,0.0003420763,0.00040576415,0.000007336062,0.99669605,0.0011738625,0.00008177622],"study_design_scores_gemma":[0.00036280614,0.000099913064,0.00026718038,0.000005708056,0.0007651235,0.0000062669283,0.0014736964,0.02123254,0.000042386695,0.96152663,0.014094523,0.00012320341],"about_ca_topic_score_codex":0.000009502317,"about_ca_topic_score_gemma":0.0000045756783,"teacher_disagreement_score":0.80644345,"about_ca_system_score_codex":0.000024223917,"about_ca_system_score_gemma":0.000027122373,"threshold_uncertainty_score":0.28186643},"labels":[],"label_agreement":null},{"id":"W3124036432","doi":"10.1108/17439130610705535","title":"An analytical theory of project investment: a comparison with real option theory","year":2006,"lang":"en","type":"article","venue":"International Journal of Managerial Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Variable (mathematics); Fixed cost; Economics; Variable cost; Investment (military); Relation (database); Return on investment; Duration (music); Econometrics; Microeconomics; Mathematical economics; Mathematics; Computer science; Production (economics); Physics","score_opus":0.02657644758917311,"score_gpt":0.2691455641915535,"score_spread":0.2425691166023804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124036432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97477216,0.0016619081,0.010132206,0.00017740045,0.00054676767,0.00011058253,0.000056361623,0.000010182608,0.012532441],"genre_scores_gemma":[0.99602646,0.00061588315,0.0020465527,0.00006789386,0.0005014739,0.0000031871834,0.000025504029,0.000013935501,0.0006990858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99855494,0.00005763913,0.000909194,0.0001883448,0.00015628534,0.00013358603],"domain_scores_gemma":[0.99837136,0.00006007209,0.0012053488,0.00016561995,0.00016765842,0.000029950861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008721929,0.00012895267,0.00042294737,0.00047309365,0.000034525445,0.000075338074,0.00041844812,0.00005949221,0.00007542767],"category_scores_gemma":[0.000037400052,0.000110946305,0.00017949239,0.0002065385,0.00015098472,0.00045577076,0.000030764295,0.0001225141,0.000014101716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007790437,0.000346385,0.008708843,0.0000064391716,0.00023896169,0.000031590862,0.00019022918,0.0026590065,0.00006655554,0.98600394,0.0003684962,0.0006005387],"study_design_scores_gemma":[0.0025648745,0.001027494,0.076175064,0.00011300383,0.00013815556,0.000046042845,0.0003834953,0.01991033,0.0007461491,0.8878782,0.010619669,0.0003975424],"about_ca_topic_score_codex":0.00025822362,"about_ca_topic_score_gemma":0.0000338141,"teacher_disagreement_score":0.09812573,"about_ca_system_score_codex":0.000097992546,"about_ca_system_score_gemma":0.000036952853,"threshold_uncertainty_score":0.4524259},"labels":[],"label_agreement":null},{"id":"W3124291751","doi":"","title":"Yield Spreads as Predictors of Industrial Production: Expectations on Short Rates or Term Premia?","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Term (time); Yield curve; Econometrics; Economics; Production (economics); Industrial production; Variance (accounting); Yield (engineering); Risk premium; Autoregressive conditional heteroskedasticity; Conditional variance; Forward rate; Interest rate; Financial economics; Monetary economics; Microeconomics; Volatility (finance); Macroeconomics","score_opus":0.04398538450198545,"score_gpt":0.2528809853454887,"score_spread":0.20889560084350325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124291751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880669,0.0064365845,0.00006097466,0.00073020934,0.0006263761,0.00015956371,0.000008987913,0.000019916815,0.0038904967],"genre_scores_gemma":[0.9745847,0.015044345,0.000011901672,0.000027286402,0.001046767,0.000011609997,0.000010565373,0.000018112878,0.009244727],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982698,0.000017231108,0.00060024025,0.0002619189,0.0000825751,0.0007682374],"domain_scores_gemma":[0.99933714,0.000042466298,0.00029638334,0.00020242161,0.00004632744,0.00007528565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005676575,0.00014735029,0.00030851696,0.00036582298,0.00016260595,0.000049412112,0.00019587787,0.000116538016,0.00043167875],"category_scores_gemma":[0.00025187695,0.00012695347,0.0001909584,0.00043463142,0.00005893984,0.0002556371,0.000018070581,0.0007957312,0.00009587455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005061109,0.0005272308,0.38570476,0.0000058557407,0.001146432,0.000009933005,0.0010401623,0.00027144194,0.00018277107,0.6057809,0.0019576815,0.002866725],"study_design_scores_gemma":[0.0036390391,0.0076936414,0.020413866,0.00026157356,0.00052238087,0.0012317371,0.013656798,0.00056738674,0.010375479,0.92615926,0.013735571,0.0017432601],"about_ca_topic_score_codex":0.00011343903,"about_ca_topic_score_gemma":0.0004407386,"teacher_disagreement_score":0.3652909,"about_ca_system_score_codex":0.00042418105,"about_ca_system_score_gemma":0.00037491924,"threshold_uncertainty_score":0.51770127},"labels":[],"label_agreement":null},{"id":"W3124496874","doi":"10.1093/rfs/hhaa049","title":"CAPM-Based Company (Mis)valuations","year":2020,"lang":"en","type":"preprint","venue":"Review of Financial Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Labex Ecodec; Singapore Management University; Agence Nationale de la Recherche","keywords":"Capital asset pricing model; Business; Economics; Finance","score_opus":0.18437023142031533,"score_gpt":0.3357603540756728,"score_spread":0.15139012265535745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124496874","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022959975,0.9867308,0.0002457237,0.006044939,0.00058502617,0.00060064683,0.0005870675,0.00003214551,0.0028776436],"genre_scores_gemma":[0.049987793,0.94522554,0.0013235038,0.0025634798,0.00030047284,0.00018112484,0.00017855495,0.000025055362,0.00021450804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977383,0.0000356034,0.001397947,0.00053338136,0.000093154325,0.000201638],"domain_scores_gemma":[0.9979586,0.00006202363,0.0012658199,0.00045681704,0.00019114016,0.00006557996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058427744,0.0003094316,0.0021698002,0.00015922598,0.00011933052,0.000018646526,0.0003417493,0.00012449372,0.00019975459],"category_scores_gemma":[0.0011782787,0.0003086806,0.0008916209,0.00038672422,0.0001761488,0.000041369563,0.00026982237,0.00029499948,0.0003357711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009492811,0.00028474024,0.0032729593,0.053671055,0.001208257,0.000009878128,0.0009556059,0.00025419425,0.000003612894,0.8072084,0.12918156,0.0039402223],"study_design_scores_gemma":[0.0011097456,0.0002717033,0.045637343,0.034645353,0.0019109531,9.4993595e-7,0.00012601863,0.0036820811,0.00010858018,0.35673642,0.5535362,0.0022347008],"about_ca_topic_score_codex":0.00018990824,"about_ca_topic_score_gemma":0.00005089956,"teacher_disagreement_score":0.450472,"about_ca_system_score_codex":0.00013411374,"about_ca_system_score_gemma":0.0001334992,"threshold_uncertainty_score":0.9999365},"labels":[],"label_agreement":null},{"id":"W3124855985","doi":"","title":"The Risk-Return Trade-Off of Investing in Latin American Emerging Stock Markets","year":2014,"lang":"en","type":"article","venue":"Accounting & taxation","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Emerging markets; Risk–return spectrum; Economics; Portfolio; Diversification (marketing strategy); Financial economics; Portfolio investment; Capital market; Investment performance; Stock market; Business; Finance; Return on investment; Context (archaeology); Macroeconomics","score_opus":0.013695311123528998,"score_gpt":0.21302663483506679,"score_spread":0.19933132371153778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124855985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947805,0.0012933937,0.00034022276,0.0004795448,0.000111870264,0.0000942477,0.000007093716,0.000019544774,0.0028736142],"genre_scores_gemma":[0.9985425,0.0006068087,0.0004939749,0.000090207715,0.00009743561,0.0000103452285,0.000011868899,0.000014684068,0.00013216298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883765,0.000048725266,0.00062894914,0.00022096955,0.000056421544,0.00020726367],"domain_scores_gemma":[0.99714583,0.00027317717,0.0023278168,0.00021016238,0.00001945845,0.000023529363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015371209,0.00010402267,0.00025163297,0.00022807476,0.00018919064,0.000074208954,0.00015852095,0.0000383881,0.000019975605],"category_scores_gemma":[0.0014924025,0.0000939947,0.00009129356,0.00051032554,0.00008252634,0.0002580145,0.000034704586,0.00015024217,0.00001934849],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056608833,0.000016078027,0.9416529,0.000007917334,0.000023544479,9.891279e-8,0.0007413631,0.00022100146,0.00004949087,0.033454258,0.00014088565,0.023686817],"study_design_scores_gemma":[0.00017524445,0.000017958813,0.8183508,0.000017064362,0.00001152659,1.3682133e-7,0.00024405462,0.16041748,0.00006195444,0.016306972,0.0042704963,0.00012631911],"about_ca_topic_score_codex":0.0030273602,"about_ca_topic_score_gemma":0.0009522569,"teacher_disagreement_score":0.16019648,"about_ca_system_score_codex":0.000050594947,"about_ca_system_score_gemma":0.0000071568593,"threshold_uncertainty_score":0.45764834},"labels":[],"label_agreement":null},{"id":"W3124884882","doi":"","title":"Equilibrium Investment Strategies and Output Price Behavior: A Real-Options Approach","year":2002,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Competitor analysis; Economics; Volatility (finance); Flexibility (engineering); Microeconomics; Investment (military); Competition (biology); Commodity; Industrial organization; Capacity utilization; Monetary economics; Econometrics; Finance","score_opus":0.06666765737523128,"score_gpt":0.22731402440729387,"score_spread":0.1606463670320626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124884882","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47380483,0.02511418,0.00029808973,0.0003482994,0.0000925116,0.00027987448,0.000039516526,0.00010812564,0.4999146],"genre_scores_gemma":[0.95612556,0.011235707,0.0036826108,0.00031930167,0.000073581985,0.000094750634,0.000033982593,0.00002179467,0.028412735],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99894613,0.000009096177,0.00038591825,0.00037883956,0.000036678528,0.00024331869],"domain_scores_gemma":[0.9994431,0.000013195765,0.000130189,0.00027644652,0.000012557793,0.00012447538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013530662,0.00015208403,0.00027817406,0.0002200634,0.00007877613,0.00026675875,0.00011253639,0.00007963666,0.0006089948],"category_scores_gemma":[0.0000063197735,0.00014851351,0.000107966756,0.00023052718,0.00010176227,0.00053504424,0.00006845076,0.000085701606,0.0003698546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.201025e-7,0.00021523543,0.00489554,0.000010431484,0.000046457928,0.0000019443169,0.000517016,0.000031989384,0.000018961802,0.9920249,0.002174086,0.00006250454],"study_design_scores_gemma":[0.0032815565,0.00071723224,0.18950234,0.000022540504,0.00042046153,0.00007295205,0.010834129,0.27626204,0.00013808029,0.44174793,0.073844045,0.0031566708],"about_ca_topic_score_codex":0.00058056286,"about_ca_topic_score_gemma":0.000023453298,"teacher_disagreement_score":0.550277,"about_ca_system_score_codex":0.000049793434,"about_ca_system_score_gemma":0.000005493227,"threshold_uncertainty_score":0.6668066},"labels":[],"label_agreement":null},{"id":"W3124892828","doi":"","title":"Testing for Avoidance of Environmental Obligations","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nuclear decommissioning; Closing (real estate); Incentive; Closure (psychology); Investment (military); Business; Environmental remediation; Environmental economics; Value (mathematics); Natural resource economics; Risk analysis (engineering); Economics; Engineering; Microeconomics; Computer science; Waste management; Finance","score_opus":0.07241303930089046,"score_gpt":0.2901303148782416,"score_spread":0.21771727557735113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124892828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94549257,0.008375407,0.000024059742,0.00018199778,0.00047423755,0.0010471566,0.0018623553,0.000022606635,0.042519633],"genre_scores_gemma":[0.98592603,0.007957748,0.0035221616,0.000028384007,0.00024567364,0.0003224927,0.00017788236,0.000056457186,0.0017631982],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99747473,0.00003697359,0.0011233333,0.0006905227,0.00005879584,0.0006156231],"domain_scores_gemma":[0.9979733,0.00051291555,0.00062695297,0.00071735436,0.000031073923,0.00013840034],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016557929,0.00023980942,0.0007246249,0.00069627416,0.0001406132,0.000065165426,0.0004928352,0.00031992162,0.00017904982],"category_scores_gemma":[0.00041072382,0.0003025535,0.00033596717,0.0001522217,0.00030083483,0.0001467934,0.0005249218,0.0006295951,0.00004489332],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010419583,0.0015900659,0.60628384,0.00092785043,0.0009095981,0.0000045194206,0.0023146516,0.012214794,0.0016223517,0.28724077,0.00023171995,0.08655565],"study_design_scores_gemma":[0.0024682733,0.00037017887,0.3967492,0.00042939145,0.00009096391,0.0000064641054,0.0015530507,0.11025034,0.0013695182,0.4482166,0.036181588,0.002314449],"about_ca_topic_score_codex":0.0001322284,"about_ca_topic_score_gemma":0.00005773459,"teacher_disagreement_score":0.20953462,"about_ca_system_score_codex":0.0006316914,"about_ca_system_score_gemma":0.00008096318,"threshold_uncertainty_score":0.99994266},"labels":[],"label_agreement":null},{"id":"W3125031126","doi":"","title":"The Economic Significance of Conditional Skewness in Index Option Markets","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Skewness; Index (typography); Profitability index; Economics; Econometrics; Financial economics; Valuation of options; Computer science; Finance","score_opus":0.008198026421723183,"score_gpt":0.21060474163691348,"score_spread":0.2024067152151903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125031126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94702154,0.043768138,0.004309029,0.002143818,0.000250058,0.00016752968,0.000025693194,0.000009415039,0.0023048036],"genre_scores_gemma":[0.9684134,0.030422876,0.000012276293,0.000051226143,0.00010878873,0.0000040928994,0.000007516046,0.0000063330695,0.0009734497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984859,0.000024428427,0.0005607362,0.000156683,0.000038979717,0.00073325675],"domain_scores_gemma":[0.9993663,0.000046731595,0.00041018528,0.00012440208,0.000017696899,0.000034719873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015065763,0.00009447159,0.00022184517,0.00020271371,0.00013129447,0.000049127484,0.00022229,0.000056173983,0.00004263999],"category_scores_gemma":[0.000022846298,0.000082485385,0.00014436527,0.00013837076,0.00006089775,0.00020389624,0.000009714153,0.0005154123,0.00005874731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004044496,0.00003173807,0.0077081244,9.301841e-7,0.000054359072,5.829828e-7,0.00003340312,0.00073358207,0.000014521194,0.9898432,0.000035157827,0.001503992],"study_design_scores_gemma":[0.00040491193,0.000077680364,0.07005185,0.000003806742,0.0000049634355,0.000014831266,0.000192131,0.0044924873,0.000024480994,0.9236393,0.0009973866,0.000096148666],"about_ca_topic_score_codex":0.0001189881,"about_ca_topic_score_gemma":0.0006633178,"teacher_disagreement_score":0.06620385,"about_ca_system_score_codex":0.0009860167,"about_ca_system_score_gemma":0.0003186252,"threshold_uncertainty_score":0.33636564},"labels":[],"label_agreement":null},{"id":"W3125266333","doi":"","title":"Testing and Comparing Value-at-Risk Measures","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Value at risk; Price risk; Risk management; Humanities; Actuarial science; Economics; Financial economics; Finance; Philosophy","score_opus":0.10007825577140056,"score_gpt":0.2932756858305442,"score_spread":0.19319743005914364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125266333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8372125,0.009821846,0.000004279612,0.0001293932,0.0002688807,0.0004152324,0.00009611715,0.000047435075,0.1520043],"genre_scores_gemma":[0.88369006,0.11151376,0.0010823717,0.000046753037,0.00025942386,0.000106761414,0.000046302026,0.000080494414,0.003174061],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99623704,0.00012792999,0.0012298401,0.0014096102,0.00010496395,0.00089061813],"domain_scores_gemma":[0.9975528,0.00051513,0.000640552,0.0009497153,0.00006881216,0.00027296686],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030707975,0.00040787432,0.0011488391,0.0011403059,0.0004074152,0.0003407595,0.00059095264,0.00044907304,0.00010260177],"category_scores_gemma":[0.0011184615,0.0004944231,0.0002617507,0.0002950943,0.0003772618,0.00013935917,0.0018105919,0.0015931205,0.00009531181],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039638242,0.00012032834,0.9423291,0.000091186645,0.00029326085,0.000026579764,0.00046429862,0.015722344,0.000011675207,0.014201247,0.000075508804,0.026624827],"study_design_scores_gemma":[0.0015678414,0.00014262385,0.31494877,0.00028428133,0.000060228733,0.000027776114,0.0004747903,0.44333965,0.000044416654,0.20651406,0.030886544,0.0017089942],"about_ca_topic_score_codex":0.0032612456,"about_ca_topic_score_gemma":0.0014036045,"teacher_disagreement_score":0.6273803,"about_ca_system_score_codex":0.0012018037,"about_ca_system_score_gemma":0.0000902637,"threshold_uncertainty_score":0.99975073},"labels":[],"label_agreement":null},{"id":"W3125286056","doi":"10.2139/ssrn.3188645","title":"Signaling Game Models of Equity Financing Under Information Asymmetry and Finite Project Life","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Information asymmetry; Equity (law); Finance; Business; Asymmetry; Economics; Microeconomics; Public economics; Actuarial science; Political science","score_opus":0.0361732089441806,"score_gpt":0.24868329189713992,"score_spread":0.2125100829529593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125286056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.854654,0.027477855,0.11320005,0.00028585174,0.00015512203,0.0001318771,0.00001916891,0.00001621216,0.004059836],"genre_scores_gemma":[0.9863411,0.012833371,0.00023386625,0.00018210353,0.00014669978,0.0000019355305,0.000005540338,0.000008518732,0.00024687152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843156,0.000013814491,0.00060226186,0.00012860335,0.00006221214,0.0007615381],"domain_scores_gemma":[0.99919474,0.000033370077,0.00053322886,0.000112068316,0.00007333871,0.000053249485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014543594,0.00011190011,0.00027849828,0.00041955878,0.00013362114,0.00008637085,0.00013485717,0.00007658763,0.000031614258],"category_scores_gemma":[0.00009132124,0.000109651126,0.000116335796,0.00030067924,0.000073374176,0.0009388277,0.00006498769,0.0004512903,0.000043343756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022265096,0.000020415917,0.0010082888,0.000012035119,0.00014652188,1.0982523e-7,0.0005978039,0.0009803445,0.000020839363,0.9957465,0.000040022052,0.0014048367],"study_design_scores_gemma":[0.00046706907,0.0002598888,0.0004226378,0.000017434762,0.000027708165,0.000012638025,0.0010113209,0.057026464,0.000110640256,0.9401496,0.00033543617,0.00015917991],"about_ca_topic_score_codex":0.0002532561,"about_ca_topic_score_gemma":0.00010956164,"teacher_disagreement_score":0.13168706,"about_ca_system_score_codex":0.0002604395,"about_ca_system_score_gemma":0.00032877707,"threshold_uncertainty_score":0.44714433},"labels":[],"label_agreement":null},{"id":"W3125310398","doi":"10.1111/j.1745-6622.2002.tb00337.x","title":"HOW DO CFOs MAKE CAPITAL BUDGETING AND CAPITAL STRUCTURE DECISIONS?","year":2002,"lang":"en","type":"article","venue":"Journal of applied corporate finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":381,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Paul University","funders":"","keywords":"Capital structure; Capital budgeting; Weighted average cost of capital; Cost of capital; Leverage (statistics); Corporate finance; Finance; Discounted cash flow; Economics; Valuation (finance); Debt; Cash flow; Business; Equity (law); Accounting; Financial capital; Incentive; Profit (economics); Capital formation; Microeconomics","score_opus":0.03481304984903062,"score_gpt":0.18498959432798426,"score_spread":0.15017654447895362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125310398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96994644,0.027331354,0.0002700469,0.0005587723,0.00028620483,0.00011355075,0.000083507264,0.000010258601,0.0013998393],"genre_scores_gemma":[0.9856768,0.009268675,0.003607627,0.00013663288,0.00028111006,0.0000030754056,0.00000499472,0.000027953693,0.0009931049],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984148,0.000008088868,0.00080971565,0.00034536573,0.00011486793,0.00030716063],"domain_scores_gemma":[0.99732906,0.000058327554,0.002134019,0.00025577375,0.00009234621,0.00013049268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028212633,0.00025019693,0.0006686078,0.0003535662,0.0001656207,0.0003262972,0.0002735103,0.00014598566,0.00015016827],"category_scores_gemma":[0.000061863415,0.00023188011,0.00018883166,0.0003899132,0.00012902463,0.00032587757,0.00007184108,0.00037024356,0.00006382722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010593914,0.00017855967,0.010939464,0.00003100045,0.00026527818,0.00017281281,0.0023674238,0.00063384435,0.0011665002,0.96260154,0.004895099,0.01664255],"study_design_scores_gemma":[0.002961465,0.00043477013,0.025590694,0.00009351555,0.00010698447,0.0002877438,0.001447432,0.0046447096,0.00135273,0.93311834,0.02881761,0.0011439739],"about_ca_topic_score_codex":0.000007631771,"about_ca_topic_score_gemma":0.000010401983,"teacher_disagreement_score":0.029483158,"about_ca_system_score_codex":0.00006901149,"about_ca_system_score_gemma":0.000013205506,"threshold_uncertainty_score":0.9455797},"labels":[],"label_agreement":null},{"id":"W3125345102","doi":"","title":"On a Finite Horizon Starting and Stopping Problem with Risk of Abandonment","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Profitability index; Abandonment (legal); Investment (military); Constraint (computer-aided design); Optimal stopping; Production (economics); Probabilistic logic; Interval (graph theory); Economics; Boundary (topology); Microeconomics; Function (biology); Set (abstract data type); Stopping time; Econometrics; Financial economics; Computer science; Mathematics; Finance","score_opus":0.007336898510263861,"score_gpt":0.1827623191677528,"score_spread":0.17542542065748892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125345102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740555,0.020023197,0.0042702914,0.00035987806,0.000018618692,0.00008698066,0.00000653102,0.000007844566,0.0011711572],"genre_scores_gemma":[0.9701629,0.029032044,0.00029894823,0.00005231462,0.000044164528,0.0000014452045,0.0000015503388,0.000008372767,0.00039820428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99870676,0.000014944183,0.00036773275,0.00017448537,0.000050980598,0.0006851176],"domain_scores_gemma":[0.99929714,0.000033145436,0.0005055447,0.000097640615,0.000016217504,0.000050304116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000957,0.00010899409,0.000257785,0.0001990236,0.00013244915,0.000040150935,0.000074767835,0.00003410113,0.000014967542],"category_scores_gemma":[0.000026624657,0.000090047266,0.000083421946,0.00014707891,0.00002621658,0.00012335788,0.0000088235165,0.0005533147,0.00000798071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008466912,0.0000842516,0.013228804,0.000003899874,0.00023355838,0.0000014595233,0.0003906028,0.001041692,0.000026436253,0.97906363,0.000014435827,0.0058265664],"study_design_scores_gemma":[0.0009017699,0.002450475,0.003529858,0.000030736574,0.000044752847,0.000012083549,0.00030211805,0.0019505622,0.00006474756,0.9904065,0.0001509875,0.00015542025],"about_ca_topic_score_codex":0.000101155936,"about_ca_topic_score_gemma":0.00015237438,"teacher_disagreement_score":0.011342864,"about_ca_system_score_codex":0.00021421678,"about_ca_system_score_gemma":0.00006639251,"threshold_uncertainty_score":0.36720207},"labels":[],"label_agreement":null},{"id":"W3125358880","doi":"","title":"Option-Implied Measures of Equity Risk","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"Danmarks Grundforskningsfond; National Research Foundation","keywords":"Economics; Volatility (finance); Equity (law); Humanities; Welfare economics; Financial economics; Political science; Philosophy","score_opus":0.10667570558136776,"score_gpt":0.3295434904806058,"score_spread":0.22286778489923809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125358880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70513684,0.012930755,0.00007410554,0.00041507598,0.0006365075,0.001029757,0.000916253,0.000060976236,0.27879974],"genre_scores_gemma":[0.8482537,0.14903931,0.0008596296,0.000045624412,0.0001930681,0.000077335346,0.00010612123,0.000048274378,0.0013769156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99607944,0.00013489659,0.0016987462,0.0011599811,0.00014486944,0.0007820887],"domain_scores_gemma":[0.99701697,0.00023781229,0.0010426139,0.0013792114,0.00011248053,0.000210939],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0041560815,0.00037298427,0.0013126573,0.0014412437,0.00015899281,0.00017010645,0.0010135528,0.0006068082,0.0002098469],"category_scores_gemma":[0.000573148,0.00044343635,0.00061862404,0.0002901592,0.00035982436,0.00013848684,0.0011763847,0.0015804777,0.0000948902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020716863,0.00095397705,0.06476984,0.00032400282,0.0010183376,0.000018683062,0.0010901971,0.039646458,0.00007376257,0.6813612,0.0002923307,0.21024406],"study_design_scores_gemma":[0.0009572072,0.00017838996,0.060157675,0.00013521226,0.000040213454,0.0000021276485,0.00028725748,0.025813613,0.00022626144,0.8972272,0.014085022,0.0008898192],"about_ca_topic_score_codex":0.0010082386,"about_ca_topic_score_gemma":0.00059974636,"teacher_disagreement_score":0.27742285,"about_ca_system_score_codex":0.0009386245,"about_ca_system_score_gemma":0.00020368425,"threshold_uncertainty_score":0.99980175},"labels":[],"label_agreement":null},{"id":"W3125447850","doi":"","title":"Getting real with real options","year":2006,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Asset (computer security); Investment (military); Risk aversion (psychology); Value (mathematics); Econometrics; Economics; Microeconomics; Financial economics; Computer science; Mathematical economics; Actuarial science; Mathematical optimization; Mathematics; Expected utility hypothesis; Statistics","score_opus":0.06845148303658428,"score_gpt":0.16620071006747833,"score_spread":0.09774922703089405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125447850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9012224,0.0010571737,0.0028803414,0.00008450849,0.00019454489,0.00018488527,0.0001920069,0.00012738277,0.094056726],"genre_scores_gemma":[0.9729112,0.0087143,0.00056606054,0.000029319632,0.00016129912,0.0000014362901,0.00022280838,0.000032515083,0.017361091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998464,0.000019543571,0.00032131295,0.000867145,0.00002085698,0.00030712422],"domain_scores_gemma":[0.99870944,0.000028350963,0.00048995926,0.00061669707,0.000047888254,0.00010765879],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017616108,0.0002672072,0.00048178574,0.00043924994,0.00018601524,0.00009347581,0.00037530926,0.00025391678,0.00017284325],"category_scores_gemma":[0.00000595457,0.00031389872,0.00030031425,0.0004170039,0.00012984751,0.0001763188,0.00030505643,0.00037438778,0.00033756328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014653046,0.00007672376,0.06413518,0.000023858172,0.00019702548,0.000083265826,0.00008930472,0.07466315,0.0000015707104,0.86011696,0.0005841437,0.000014183328],"study_design_scores_gemma":[0.0013830657,0.00014053065,0.12822726,0.00011062253,0.00048556124,0.0000046662935,0.00028608332,0.26404953,0.000018456973,0.6001503,0.0032635226,0.0018803808],"about_ca_topic_score_codex":0.011664869,"about_ca_topic_score_gemma":0.0012901026,"teacher_disagreement_score":0.25996664,"about_ca_system_score_codex":0.00028252846,"about_ca_system_score_gemma":0.0000442571,"threshold_uncertainty_score":0.99993134},"labels":[],"label_agreement":null},{"id":"W3125485243","doi":"10.2139/ssrn.3531590","title":"(Systematic) Investing in Emerging Market Debt","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Market liquidity; Emerging markets; Monetary economics; Economics; Currency; Financial economics; Portfolio; Volatility (finance); Debt; Business; Finance","score_opus":0.018887291572636276,"score_gpt":0.205938838967392,"score_spread":0.18705154739475574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125485243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70201296,0.2572677,0.004275309,0.010170331,0.00034424782,0.00042147026,0.000008770429,0.000076867276,0.02542237],"genre_scores_gemma":[0.98166513,0.015960637,0.00014699239,0.0006080831,0.00019984061,0.000006297621,0.0000019235922,0.000022938628,0.0013881391],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99768656,0.00004090935,0.000811425,0.00022921049,0.00005184409,0.0011800193],"domain_scores_gemma":[0.99931276,0.00003911309,0.00041137807,0.00010844496,0.000016104032,0.00011220946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018361501,0.00013442799,0.00044771022,0.00024931747,0.00010519761,0.00008634178,0.0002399331,0.00005459688,0.00018250922],"category_scores_gemma":[0.00031853284,0.00013471527,0.00018281174,0.00048239017,0.00002017981,0.00024661038,0.00003769613,0.00088765594,0.0002140266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010728013,0.000024839019,0.020591686,0.00019427936,0.000190539,0.00000810751,0.00087984186,0.00011366516,0.00002003777,0.97764874,0.00023460938,0.00008292503],"study_design_scores_gemma":[0.00080415676,0.00014033046,0.0010516405,0.00021658336,0.000039519004,0.00006586058,0.003493624,0.040632136,0.000016008617,0.952649,0.0005071191,0.00038399434],"about_ca_topic_score_codex":0.00012863381,"about_ca_topic_score_gemma":0.00048025482,"teacher_disagreement_score":0.2796522,"about_ca_system_score_codex":0.00043271075,"about_ca_system_score_gemma":0.00014301739,"threshold_uncertainty_score":0.54935294},"labels":[],"label_agreement":null},{"id":"W3125884382","doi":"10.1108/03074350210768202.html?utm_source=repec&utm_medium=feed&utm_campaign=repec","title":"Real Options: Valuing Flexibility in Strategic Mergers and Acquisitions as an Exchange Ratio Swap","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Swap (finance); Valuation (finance); Discounted cash flow; Business; Earnings; Credibility; Portfolio; Valuation of options; Mergers and acquisitions; Flexibility (engineering); Economics; Financial economics; Microeconomics; Finance; Actuarial science","score_opus":0.0373450963552961,"score_gpt":0.26556147607029734,"score_spread":0.22821637971500125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125884382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9388772,0.0537493,0.00019234564,0.00024031378,0.00008690097,0.00009801534,0.000007616706,0.000014147368,0.006734121],"genre_scores_gemma":[0.87704206,0.12168053,0.00012844778,0.00004826874,0.00006972072,0.00000872664,0.000011497058,0.000012288494,0.000998473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982336,0.000074055395,0.00046084318,0.0002907482,0.00004476658,0.000895962],"domain_scores_gemma":[0.99949646,0.000019858955,0.00018689383,0.00016720498,0.000026233436,0.000103362334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021457535,0.00012902221,0.00024847427,0.00033543224,0.00022910873,0.00011884005,0.00009914615,0.00007879113,0.00041765926],"category_scores_gemma":[0.000034478922,0.00013731627,0.00010410954,0.0003175157,0.00005289261,0.00050635246,0.000011154723,0.00058102014,0.000060034592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000791258,0.0000858501,0.0039289873,0.0000032916373,0.000058155547,0.0000019546821,0.00030017807,0.00020517333,0.000054560453,0.99525595,0.000006165487,0.00009183877],"study_design_scores_gemma":[0.00044823665,0.00018315886,0.0016793319,0.0000048804777,0.00001769417,0.000034906705,0.0028029727,0.002805235,0.000025822474,0.9916823,0.00014241048,0.00017304823],"about_ca_topic_score_codex":0.00082008855,"about_ca_topic_score_gemma":0.0029852784,"teacher_disagreement_score":0.06793123,"about_ca_system_score_codex":0.0006114477,"about_ca_system_score_gemma":0.00026338408,"threshold_uncertainty_score":0.5599595},"labels":[],"label_agreement":null},{"id":"W3125977856","doi":"10.2139/ssrn.1150646","title":"Forward-Looking Betas","year":2007,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Sophistication; Econometrics; Stock market; Index (typography); BETA (programming language); Financial economics; Economics; Computer science","score_opus":0.019247509657623715,"score_gpt":0.2356678186155788,"score_spread":0.2164203089579551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125977856","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24056846,0.69987386,0.027348166,0.0016751873,0.002750462,0.00038444003,0.00009415261,0.00011326455,0.027192026],"genre_scores_gemma":[0.7701924,0.21579176,0.0004263396,0.0002746851,0.001518324,0.00001000613,0.000071548566,0.000083830695,0.011631116],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99548054,0.00002153293,0.0011048155,0.00056183775,0.000109997876,0.0027213066],"domain_scores_gemma":[0.9981868,0.00003084011,0.0011204893,0.0004456733,0.000060495226,0.00015565172],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0036963858,0.0003693068,0.00079174933,0.0008688623,0.00025824714,0.00026506494,0.0006518479,0.00041333077,0.00030704855],"category_scores_gemma":[0.00005964968,0.00039380137,0.0009081884,0.00024488862,0.00006490803,0.000172218,0.00029632464,0.00497908,0.00062378985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012727701,0.00005813954,0.0046703564,0.000015971378,0.0010031284,0.000007979927,0.00016588527,0.00022317233,0.0000019815247,0.99160033,0.0003603369,0.0018800058],"study_design_scores_gemma":[0.0003377958,0.00007813781,0.00045920734,0.0000295848,0.00010182347,0.00006905698,0.00031406907,0.00084758113,0.000016136795,0.98431003,0.012968671,0.00046790845],"about_ca_topic_score_codex":0.0004965125,"about_ca_topic_score_gemma":0.00085911306,"teacher_disagreement_score":0.5296239,"about_ca_system_score_codex":0.002080354,"about_ca_system_score_gemma":0.0006657085,"threshold_uncertainty_score":0.9998514},"labels":[],"label_agreement":null},{"id":"W3125981779","doi":"","title":"The Impact of Leased and Rented Assets on Industry Productivity Measurement","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lease; Business; Finance; Renting; Asset (computer security); Balance sheet; Productivity; Capital (architecture); Fixed asset; Collateral; Economics; Production (economics); Microeconomics; Engineering","score_opus":0.08159647066347601,"score_gpt":0.32015059034621884,"score_spread":0.23855411968274282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125981779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97745854,0.0024770636,0.0000012065785,0.0005422976,0.00021509413,0.0006094209,0.0001281603,0.000012738596,0.01855551],"genre_scores_gemma":[0.9836019,0.015259419,0.000022929427,0.000012206771,0.00014980214,0.00009653132,0.000025945903,0.000037716734,0.0007934917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99723864,0.00018819478,0.0009365579,0.00093182526,0.00014566166,0.00055912876],"domain_scores_gemma":[0.99756527,0.00028356654,0.0006449941,0.0012112615,0.00012742468,0.00016745644],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005536328,0.000308804,0.00081439974,0.00062533806,0.00020080952,0.00017620741,0.00050821516,0.00052339444,0.000047944726],"category_scores_gemma":[0.0011548386,0.00025930247,0.00036354997,0.00017361074,0.00042960892,0.00007538626,0.0005141874,0.00192323,0.000014544998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001179399,0.0025190357,0.6996843,0.0006650751,0.004381219,0.000018491924,0.0010968475,0.05385974,0.00033405065,0.08535387,0.0023799476,0.14852801],"study_design_scores_gemma":[0.0023995182,0.0011233852,0.79485923,0.0005410243,0.000049873448,0.0000052541423,0.00034200633,0.07364744,0.0006751676,0.11186806,0.012945976,0.0015430927],"about_ca_topic_score_codex":0.00096833974,"about_ca_topic_score_gemma":0.00035103204,"teacher_disagreement_score":0.14698492,"about_ca_system_score_codex":0.001208562,"about_ca_system_score_gemma":0.00023360352,"threshold_uncertainty_score":0.99998593},"labels":[],"label_agreement":null},{"id":"W3126018574","doi":"","title":"The Impact of Political Risk on the Foreign Direct Investment Decision: A Capital Budgeting Analysis","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Expropriation; Political risk; Foreign direct investment; Cash flow; Politics; Capital budgeting; Investment (military); Economics; Business; Capital (architecture); Investment decisions; Finance; Financial economics; Macroeconomics; Market economy; Project appraisal; Political science","score_opus":0.009314346794826782,"score_gpt":0.22588064094543597,"score_spread":0.21656629415060918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126018574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95574117,0.026962133,0.00060627615,0.0004189325,0.000055168464,0.00011581437,0.000044167664,0.000010019426,0.016046314],"genre_scores_gemma":[0.9912227,0.00777968,0.000031401207,0.000056986548,0.00022122977,0.000007469747,0.0000067794513,0.00001740784,0.0006563896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99707264,0.0000860702,0.0008115966,0.00025532374,0.00013430046,0.0016400813],"domain_scores_gemma":[0.9982385,0.00054551876,0.00068727444,0.00037930062,0.00005648114,0.00009294263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031624557,0.0002028527,0.00045384894,0.00036816605,0.00061387225,0.00015828018,0.00040410878,0.000069816924,0.000101421996],"category_scores_gemma":[0.00024376967,0.00010911557,0.0012851723,0.00080216804,0.00015031031,0.000098884775,0.000044403845,0.0008693994,0.00006638747],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032280648,0.000083061546,0.06843194,3.8397647e-7,0.0019381726,9.585367e-7,0.000044319062,0.0015799566,0.0000019518607,0.9274427,0.0002493362,0.00019490284],"study_design_scores_gemma":[0.00026552545,0.00030627448,0.052000012,0.000003833538,0.00025389023,0.000011278956,0.0007477666,0.004782994,0.000023628267,0.9413321,0.00013114692,0.00014153555],"about_ca_topic_score_codex":0.0065155053,"about_ca_topic_score_gemma":0.002281726,"teacher_disagreement_score":0.035481483,"about_ca_system_score_codex":0.0011267267,"about_ca_system_score_gemma":0.00023338711,"threshold_uncertainty_score":0.9849538},"labels":[],"label_agreement":null},{"id":"W3126061707","doi":"10.1016/j.jet.2004.04.005","title":"Irreversible investment with regime shifts","year":2005,"lang":"en","type":"article","venue":"Infoscience (Ecole Polytechnique Fédérale de Lausanne)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":188,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"HEC Montréal; Stanford Graduate School of Business","keywords":"Economics; Investment (military); Volatility (finance); Stock (firearms); Microeconomics; Investment policy; Investment decisions; Capital (architecture); Monetary economics; Econometrics; Production (economics)","score_opus":0.01828146850261012,"score_gpt":0.21783509290866682,"score_spread":0.1995536244060567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126061707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67799073,0.0113531,0.020376004,0.012848588,0.00044743007,0.0017949778,0.00020521523,0.0010829002,0.27390105],"genre_scores_gemma":[0.93140495,0.0011331491,0.042189073,0.007497802,0.00023095793,0.00022257796,0.000021218768,0.000047967285,0.017252289],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979603,0.00001969227,0.0005610548,0.000617598,0.0001258195,0.0007154889],"domain_scores_gemma":[0.9986233,0.00003578451,0.0003635314,0.000640699,0.000041743166,0.00029490964],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006748768,0.00027191974,0.00041394302,0.0005411995,0.00026262194,0.00018400735,0.00064014265,0.00016355517,0.00061730156],"category_scores_gemma":[0.00005255625,0.0002716212,0.00016193258,0.0010280024,0.00033311604,0.0009461233,0.00013024027,0.00024907175,0.00088366267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031027288,0.00028608565,0.02749957,0.000021874264,0.000056615634,0.000022170985,0.00087012234,0.00075323676,0.0006315222,0.95303994,0.015839845,0.0009480031],"study_design_scores_gemma":[0.002150585,0.001294036,0.03168721,0.00024038916,0.0000917028,0.00008861299,0.0004985312,0.04033842,0.041394543,0.15259919,0.7267441,0.0028726885],"about_ca_topic_score_codex":0.0006737761,"about_ca_topic_score_gemma":0.00040678153,"teacher_disagreement_score":0.8004407,"about_ca_system_score_codex":0.00035850226,"about_ca_system_score_gemma":0.00009935053,"threshold_uncertainty_score":0.9999736},"labels":[],"label_agreement":null},{"id":"W3126078199","doi":"","title":"Expected service lives and depreciation profiles for capital assets. Evidence based on a survey of Norwegian firms","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Norwegian; Service (business); Capital (architecture); Carry (investment); Business; Capital asset; Fixed asset; Economics; Human capital; Finance; Marketing; Capital formation; Financial capital; Microeconomics; Production (economics); Geography; Market economy","score_opus":0.0885635758667081,"score_gpt":0.3124953360853421,"score_spread":0.22393176021863398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126078199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909296,0.0029196308,0.000042261076,0.0006269987,0.00023781815,0.0012620885,0.0017739284,0.00002099392,0.0021866674],"genre_scores_gemma":[0.9804496,0.017640432,0.0005774675,0.00007145025,0.00009658691,0.00043278266,0.0003112749,0.0000555575,0.00036484073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970346,0.0001751388,0.00105514,0.001120069,0.00009795819,0.0005170872],"domain_scores_gemma":[0.99595255,0.0020754228,0.00073315797,0.0008305102,0.00026220208,0.00014614266],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028330612,0.00031796994,0.0008984934,0.0010456233,0.00012386512,0.00014512806,0.00051360455,0.00036903343,0.00009156565],"category_scores_gemma":[0.0019437649,0.00032216316,0.00021447823,0.00024590694,0.00019710111,0.00023913785,0.00036612753,0.0004559609,0.0000173386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006842233,0.00059839804,0.95983875,0.001226857,0.0005075684,0.00000552323,0.0016721319,0.0036348307,0.00016915808,0.013589234,0.00013278605,0.017940538],"study_design_scores_gemma":[0.0013027336,0.00039562397,0.8789047,0.0009575148,0.000021289718,7.509673e-7,0.00027836504,0.0959729,0.00038430552,0.020656534,0.00033263298,0.00079262047],"about_ca_topic_score_codex":0.0015614065,"about_ca_topic_score_gemma":0.002094397,"teacher_disagreement_score":0.09233808,"about_ca_system_score_codex":0.0005426171,"about_ca_system_score_gemma":0.0002426353,"threshold_uncertainty_score":0.99992305},"labels":[],"label_agreement":null},{"id":"W3126800242","doi":"10.3390/jrfm14020069","title":"Valuing Dynamic Capabilities-Based Synergies with Real Options","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dynamic capabilities; Value proposition; Measure (data warehouse); Value (mathematics); Proposition; Computer science; Mergers and acquisitions; Risk analysis (engineering); Business; Process management; Knowledge management; Marketing; Finance; Data mining","score_opus":0.008211535180120525,"score_gpt":0.19597281172978812,"score_spread":0.1877612765496676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126800242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94535935,0.029174313,0.021812342,0.00034323946,0.00032867998,0.00009346545,0.000058805825,0.000013336357,0.002816472],"genre_scores_gemma":[0.94216317,0.05018979,0.00674056,0.000075577016,0.00007900019,0.000004470459,0.0000064746887,0.000012000593,0.00072895485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990611,0.000024567888,0.0004964906,0.00018554374,0.000068297835,0.0001639784],"domain_scores_gemma":[0.9992598,0.00004042772,0.00040415674,0.00015776193,0.00007091884,0.000066878274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004516394,0.00011738442,0.0003540294,0.00029496264,0.00015007112,0.00008615797,0.000089619534,0.000042036456,0.000064958105],"category_scores_gemma":[0.000042606964,0.00010449855,0.00016737482,0.00029209274,0.00007084515,0.0001644419,0.000038566854,0.00014026366,0.000010534575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082957384,0.00027325627,0.042467847,0.00011113599,0.0002171927,0.00028217526,0.0008509642,0.004915198,0.000008989758,0.9373278,0.0003782879,0.013084206],"study_design_scores_gemma":[0.004064603,0.00072716863,0.64264876,0.00026717322,0.00069747225,0.000060620663,0.0037497615,0.0094588315,0.000082235645,0.26972458,0.06765339,0.0008653932],"about_ca_topic_score_codex":0.00011530542,"about_ca_topic_score_gemma":0.00017740107,"teacher_disagreement_score":0.6676032,"about_ca_system_score_codex":0.00007886738,"about_ca_system_score_gemma":0.000029540439,"threshold_uncertainty_score":0.4261327},"labels":[],"label_agreement":null},{"id":"W3144639995","doi":"","title":"Optimal quality choice under uncertainty on market development","year":2012,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Environmental Restoration and Conservation Agency","keywords":"Ambiguity aversion; Risk aversion (psychology); Microeconomics; Duopoly; Economics; Quality (philosophy); Profit (economics); Stackelberg competition; Ambiguity; Monopoly; Expected utility hypothesis; Computer science; Financial economics; Cournot competition","score_opus":0.049357397396706186,"score_gpt":0.2334621416649369,"score_spread":0.1841047442682307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144639995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9052504,0.0024805383,0.0005638905,0.0006175284,0.00017329896,0.00023628339,0.00036370667,0.000060848794,0.09025355],"genre_scores_gemma":[0.9708875,0.0013067519,0.0072188717,0.00030244616,0.000087062916,0.0000011730101,0.00017074289,0.000032577915,0.019992908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979943,0.00014470726,0.0005259955,0.00053378125,0.00018963579,0.0006115758],"domain_scores_gemma":[0.9981549,0.0003106677,0.0004718236,0.0006570671,0.000059929174,0.00034563866],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009354613,0.00031370705,0.00063836935,0.00041062164,0.0004801183,0.000024169403,0.0007072848,0.00013948939,0.0026204286],"category_scores_gemma":[0.00010800236,0.00038006573,0.00044214955,0.00029495158,0.00040933758,0.00031514512,0.00040472226,0.000375973,0.0003775085],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016700369,0.0039627515,0.22307877,0.00038296724,0.0030974438,0.000039455776,0.06480108,0.003862016,0.00030981062,0.6730941,0.019891609,0.005809941],"study_design_scores_gemma":[0.0024085366,0.00023780466,0.59238476,0.00012544672,0.000106530184,0.0000070152264,0.013673743,0.008872856,0.000079185455,0.0041390904,0.37670705,0.0012579976],"about_ca_topic_score_codex":0.0038334136,"about_ca_topic_score_gemma":0.001361061,"teacher_disagreement_score":0.668955,"about_ca_system_score_codex":0.000364279,"about_ca_system_score_gemma":0.000078237994,"threshold_uncertainty_score":0.9998651},"labels":[],"label_agreement":null},{"id":"W3147227828","doi":"10.2139/ssrn.3592711","title":"The Value of Green Energy under Regulation Uncertainty","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Quest University Canada","funders":"","keywords":"Value (mathematics); Economics; Mathematics; Statistics","score_opus":0.015219362807111036,"score_gpt":0.1980288409615105,"score_spread":0.18280947815439946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147227828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5217139,0.34187248,0.04888737,0.079036936,0.000546146,0.00021434184,0.000034135275,0.000059961476,0.007634683],"genre_scores_gemma":[0.9676585,0.0292715,0.00001731644,0.00040083926,0.00021158686,0.0000012417504,0.000004707254,0.000010325934,0.0024239814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988073,0.000021860713,0.0004020248,0.00012931929,0.00004914853,0.0005903372],"domain_scores_gemma":[0.99942464,0.00003201473,0.0003508391,0.00011019374,0.000028909239,0.000053422125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062096375,0.000078466044,0.00018008599,0.000060268212,0.00017364454,0.00003520345,0.00020244067,0.000043271186,0.000051358187],"category_scores_gemma":[0.000026585658,0.000060460607,0.000182834,0.00022761838,0.000050686944,0.00010251998,0.000024211451,0.00032298206,0.00003057797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018017687,0.000010016863,0.00062563026,0.0000011901016,0.0001801117,1.329428e-7,0.000099892604,0.0018675824,0.00003057499,0.99578935,0.00015820019,0.0012193123],"study_design_scores_gemma":[0.00023018917,0.00011067838,0.0010649024,0.0000016681647,0.000017908156,0.0000055444743,0.0003756841,0.019727375,0.000042645122,0.9701682,0.008175213,0.00007998975],"about_ca_topic_score_codex":0.001255283,"about_ca_topic_score_gemma":0.00091211963,"teacher_disagreement_score":0.44594458,"about_ca_system_score_codex":0.00024308819,"about_ca_system_score_gemma":0.00015337342,"threshold_uncertainty_score":0.24655119},"labels":[],"label_agreement":null},{"id":"W3149192177","doi":"10.3390/jrfm14040168","title":"Exploring the Link of Real Options Theory with Dynamic Capabilities Framework in Open Innovation-Type Merger and Acquisition Deals","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dynamic capabilities; Identification (biology); Proposition; Knowledge management; Open innovation; Measure (data warehouse); Knowledge acquisition; Industrial organization; Value capture; Empirical research; Business; Computer science; Value creation; Data mining; Mathematics","score_opus":0.03290839967552343,"score_gpt":0.24001319960277182,"score_spread":0.2071047999272484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149192177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883446,0.008192637,0.0023874317,0.0004193005,0.00014992287,0.000102360886,0.000013964254,0.0000015207494,0.00038825005],"genre_scores_gemma":[0.91309875,0.08399144,0.0026418383,0.000058802896,0.000059294827,0.0000072326816,0.0000029510575,0.000005676715,0.00013402216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991754,0.000035090594,0.00052976824,0.00012508278,0.000044082135,0.00009053653],"domain_scores_gemma":[0.9992704,0.00009165689,0.00040592338,0.00012448651,0.00008846611,0.000019116464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009361971,0.00007433872,0.00027139054,0.00028407192,0.00009883009,0.00006912076,0.0001047902,0.000030293882,0.000026909012],"category_scores_gemma":[0.00008908861,0.000055821416,0.000038656606,0.0006334019,0.00007100044,0.0003160544,0.00009720015,0.00014224584,0.0000011476742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007808779,0.00003929195,0.023766335,0.000026647618,0.00005773441,0.000010091001,0.0018284334,0.00023969347,0.0000046519067,0.9651566,0.000014016184,0.0087784035],"study_design_scores_gemma":[0.00036876384,0.000098549346,0.48897383,0.00009790435,0.000056237586,0.0000036454658,0.002516028,0.0001389912,0.000015193927,0.5062295,0.0014135367,0.00008784597],"about_ca_topic_score_codex":0.00012802969,"about_ca_topic_score_gemma":0.000096196134,"teacher_disagreement_score":0.4652075,"about_ca_system_score_codex":0.000033389002,"about_ca_system_score_gemma":0.00001690118,"threshold_uncertainty_score":0.22763312},"labels":[],"label_agreement":null},{"id":"W3153321934","doi":"10.2139/ssrn.3779118","title":"Steering beyond shareholder and stakeholder value","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Stakeholder; Value (mathematics); Shareholder value; License; Business; Business value; Shareholder; Decision model; Investment (military); Investment decisions; Value proposition; Corporate governance; Finance; Microeconomics; Economics; Computer science; Marketing; Management","score_opus":0.027362319552355227,"score_gpt":0.20351438235950056,"score_spread":0.17615206280714535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153321934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6882501,0.30285665,0.0012322984,0.0013587497,0.00025066052,0.000052857882,0.000021100004,0.00002083961,0.005956721],"genre_scores_gemma":[0.9140587,0.07367372,0.00018483726,0.00030360877,0.00021668697,0.0000027401063,0.0000115826415,0.000025857511,0.011522273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99822444,0.000015056542,0.00036761523,0.0002704521,0.000048419723,0.0010740221],"domain_scores_gemma":[0.9995405,0.000017707693,0.00016259069,0.0001557299,0.000032668624,0.00009079214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070708187,0.00012802889,0.00026577842,0.0001519671,0.0001833357,0.00017376376,0.00011053276,0.00006436611,0.00033972014],"category_scores_gemma":[0.00003617576,0.00013513466,0.00013523547,0.00021281466,0.00003106223,0.00027202113,0.000052871535,0.0007225821,0.00009547752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030621773,0.00003424542,0.0054847305,0.0000046075806,0.00023479007,0.000010764769,0.00016348276,0.000049178358,0.000056698133,0.9925719,0.00017256415,0.0012139727],"study_design_scores_gemma":[0.0005755064,0.00006399582,0.0040851426,0.000008780484,0.0000336282,0.00028647625,0.0011413535,0.00077536696,0.00012168716,0.9834776,0.009179869,0.00025059038],"about_ca_topic_score_codex":0.00007646348,"about_ca_topic_score_gemma":0.00026900164,"teacher_disagreement_score":0.22918291,"about_ca_system_score_codex":0.00030628932,"about_ca_system_score_gemma":0.00020320508,"threshold_uncertainty_score":0.5510631},"labels":[],"label_agreement":null},{"id":"W3165710409","doi":"10.1016/j.energy.2021.120972","title":"Switch and defer option in renewable energy projects: Evidences from Brazil","year":2021,"lang":"en","type":"article","venue":"Energy","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Renewable energy; Environmental economics; Net present value; Greenhouse gas; Electricity; Value (mathematics); Investment (military); Business; Natural resource economics; Option value; Economics; Production (economics); Engineering; Microeconomics; Computer science","score_opus":0.02739599061115024,"score_gpt":0.2152804177053879,"score_spread":0.18788442709423764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165710409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83952105,0.14231254,0.0009936234,0.00067830255,0.00028076716,0.000024372948,0.000030553816,0.00002846763,0.016130336],"genre_scores_gemma":[0.9659564,0.02323251,0.0004556828,0.00049614353,0.00011911746,0.000017979148,0.000074003714,0.000011423258,0.009636747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910647,0.00001834753,0.00031082635,0.00037239082,0.00003132122,0.00016067542],"domain_scores_gemma":[0.999612,0.000040770814,0.000101415746,0.00018160998,0.000016637976,0.000047582183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100214806,0.000100197125,0.000254961,0.00016937136,0.00005004734,0.000089364716,0.00007402282,0.000082178856,0.00039185936],"category_scores_gemma":[0.00003786893,0.000107167296,0.00006577712,0.00034228474,0.000026970807,0.00023304467,0.000057150057,0.00003945034,0.000021652513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016192587,0.00012302549,0.09332454,0.000008984441,0.000110903165,0.00003807501,0.0005316453,0.001416111,0.0005309751,0.89929676,0.002400492,0.0022023025],"study_design_scores_gemma":[0.00091313984,0.000065520486,0.031834852,0.000068715264,0.000030773306,0.0000054784687,0.00068102527,0.031786036,0.009260075,0.68898255,0.23572984,0.00064197305],"about_ca_topic_score_codex":0.044348996,"about_ca_topic_score_gemma":0.024510529,"teacher_disagreement_score":0.23332936,"about_ca_system_score_codex":0.000046094487,"about_ca_system_score_gemma":0.0000218298,"threshold_uncertainty_score":0.9932896},"labels":[],"label_agreement":null},{"id":"W31670192","doi":"10.1016/j.foodchem.2019.125612","title":"The Real Options to Technology Management: Strategic Options for 3G Wireless Network Architecture and Technologies","year":2011,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless network; Wireless WAN; Municipal wireless network; General Packet Radio Service; Computer science; Multi-frequency network; Telecommunications; Heterogeneous network; Computer network; Wireless; Heterogeneous wireless network; Wi-Fi array","score_opus":0.032471830659416466,"score_gpt":0.206890193523071,"score_spread":0.17441836286365453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31670192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90516895,0.037915163,0.0014701278,0.0037371123,0.00018294876,0.0007057787,0.00027571514,0.0005016594,0.050042525],"genre_scores_gemma":[0.9814529,0.010008544,0.0062224204,0.000022752489,0.000062994935,0.000302934,0.000021544865,0.000017233817,0.0018886812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992091,0.0000015921668,0.00022602972,0.00028339383,0.00001653535,0.0002633355],"domain_scores_gemma":[0.99949193,0.000017283694,0.00010007161,0.00033940718,0.00001541166,0.000035877456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009651955,0.00011722291,0.00016633002,0.00007772668,0.0002990191,0.000050614544,0.0002734395,0.0001422292,0.000019762365],"category_scores_gemma":[0.0000077349,0.00010233349,0.000074551484,0.00033660932,0.00014865596,0.000027533657,0.0001263107,0.00011798482,0.000016316346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009539442,0.000026867574,0.00032400098,0.000027732714,0.0001559255,8.143113e-7,0.00005978664,0.00004475833,0.00015756492,0.9978591,0.00025505768,0.0010788048],"study_design_scores_gemma":[0.00018861657,0.00008078122,0.0001974337,0.000012231367,0.00003446943,0.0000032443336,0.0013189359,0.00029026932,0.0023582643,0.98770845,0.007610499,0.00019679831],"about_ca_topic_score_codex":0.000009779118,"about_ca_topic_score_gemma":0.000031105978,"teacher_disagreement_score":0.076283924,"about_ca_system_score_codex":0.000023957731,"about_ca_system_score_gemma":0.000004181622,"threshold_uncertainty_score":0.41730386},"labels":[],"label_agreement":null},{"id":"W3174283197","doi":"10.3390/jrfm14060278","title":"Value Maximizing Decisions in the Real Estate Market: Real Options Valuation Approach","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate; Valuation (finance); Business; Cost approach; Capitalization rate; Finance; Corporate Real Estate; Real estate development; Real estate investment trust; Income approach; Economics","score_opus":0.03156396660382587,"score_gpt":0.23416362499270646,"score_spread":0.20259965838888058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174283197","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84848946,0.0150949545,0.040464155,0.0009637881,0.00069064344,0.00038683548,0.00009022353,0.000011846309,0.09380811],"genre_scores_gemma":[0.36501586,0.6208865,0.013366257,0.00013335029,0.00017519157,0.000011068568,0.000014002693,0.00001083359,0.0003869312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987451,0.00008641096,0.00069828524,0.00019499878,0.000107427404,0.00016778169],"domain_scores_gemma":[0.9991778,0.00010219259,0.00043929167,0.00018556816,0.00004767855,0.000047441677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019041992,0.000106650354,0.00029900414,0.00036779078,0.00018263875,0.00011794752,0.0001615977,0.000051850573,0.00002422331],"category_scores_gemma":[0.0001324557,0.000087343884,0.00018230829,0.0005238411,0.000036667087,0.00019745085,0.000067955276,0.00020751567,0.00000888997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005477643,0.0003402023,0.020449895,0.00001614619,0.0000711246,0.00011638815,0.0028147,0.0021055322,0.0000021940507,0.8984716,0.0013392123,0.07421825],"study_design_scores_gemma":[0.001134528,0.00007830115,0.68543947,0.00003722296,0.00016350574,0.000024823317,0.0030060683,0.008933027,0.0000022075901,0.2632128,0.037767958,0.0002000711],"about_ca_topic_score_codex":0.00032460553,"about_ca_topic_score_gemma":0.00011260759,"teacher_disagreement_score":0.6649896,"about_ca_system_score_codex":0.000067283196,"about_ca_system_score_gemma":0.000020676454,"threshold_uncertainty_score":0.35617802},"labels":[],"label_agreement":null},{"id":"W3175644286","doi":"","title":"Investments in Information Security: A Real Options Perspective with Bayesian Postaudit","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Information security; Valuation (finance); Information security management; Information security audit; Audit; Security management; Value of information; Computer science; Bayesian probability; Business; Risk analysis (engineering); Actuarial science; Security information and event management; Computer security; Finance; Accounting; Cloud computing security; Security service; Network security policy","score_opus":0.006992005430949521,"score_gpt":0.2110132343390663,"score_spread":0.20402122890811678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175644286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9397513,0.012606556,0.0018546232,0.003501839,0.00021562603,0.0003219924,0.0000412548,0.000043552136,0.041663207],"genre_scores_gemma":[0.9809289,0.018055586,0.00013809628,0.00020049972,0.00016220905,0.000007852562,0.0000143991965,0.000011323853,0.00048114505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841297,0.000018823943,0.0003997217,0.00016360442,0.000061027356,0.00094384036],"domain_scores_gemma":[0.99938506,0.000008254359,0.00030504994,0.00013750637,0.00008855296,0.00007557532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006934738,0.00012699922,0.00021589296,0.0005693913,0.00017916433,0.000110285044,0.0001500446,0.00006484413,0.000115238894],"category_scores_gemma":[0.000026677402,0.00011875532,0.00008425496,0.00048374414,0.00008997083,0.00095845334,0.00002286818,0.0006319913,0.00029200004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003656507,0.000052757572,0.012703062,0.0000012996404,0.00013868575,0.0000012821423,0.0023157739,0.00000834918,9.69819e-7,0.9845985,0.00007241428,0.000070318645],"study_design_scores_gemma":[0.00080305786,0.0004646232,0.010088408,0.000009751401,0.000017333143,0.00005691391,0.005419148,0.0014158984,0.0000071457252,0.9807422,0.0007957117,0.00017981556],"about_ca_topic_score_codex":0.00205293,"about_ca_topic_score_gemma":0.007519159,"teacher_disagreement_score":0.041182064,"about_ca_system_score_codex":0.0017621076,"about_ca_system_score_gemma":0.00034480568,"threshold_uncertainty_score":0.48427013},"labels":[],"label_agreement":null},{"id":"W3182930807","doi":"10.5117/mab.95.64450","title":"Beslisregels voor langetermijnwaardecreatie","year":2021,"lang":"nl","type":"article","venue":"Maandblad Voor Accountancy en Bedrijfseconomie","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Political science","score_opus":0.017976092496449533,"score_gpt":0.2196264280682735,"score_spread":0.201650335571824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182930807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56755537,0.23791754,0.00028700294,0.0061186953,0.0067859464,0.0008985049,0.0040301345,0.00023945983,0.17616734],"genre_scores_gemma":[0.73255783,0.07334793,0.0013244417,0.004239442,0.003497824,0.00019486799,0.001475576,0.00034484806,0.18301724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.993712,0.00013192679,0.0024482922,0.0021310388,0.00017592055,0.001400806],"domain_scores_gemma":[0.9958595,0.00035973484,0.0011543784,0.001849432,0.0002175229,0.00055942184],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008939908,0.0010418424,0.002205395,0.0007342795,0.00053079834,0.0011253523,0.0009562536,0.00087029743,0.04404404],"category_scores_gemma":[0.00027255202,0.0012826717,0.0014049603,0.000848902,0.0002617928,0.0013584732,0.0005078095,0.0007993387,0.025114777],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023490781,0.0018706039,0.17488857,0.0006924111,0.004454095,0.0008892319,0.003332539,0.00028932616,0.0002290021,0.6848746,0.12142976,0.006814965],"study_design_scores_gemma":[0.0044328086,0.00025651223,0.039146356,0.0002986137,0.0007001078,0.000120630706,0.0014783585,0.0050207446,0.0019109271,0.05870913,0.8848828,0.0030429773],"about_ca_topic_score_codex":0.0008649711,"about_ca_topic_score_gemma":0.0020677496,"teacher_disagreement_score":0.76345307,"about_ca_system_score_codex":0.0010564001,"about_ca_system_score_gemma":0.0003488564,"threshold_uncertainty_score":0.99991155},"labels":[],"label_agreement":null},{"id":"W3193595669","doi":"10.3390/jrfm14080385","title":"Exploring Critical Success Factors of Competence-Based Synergy in Strategic Alliances: The Renault–Nissan–Mitsubishi Strategic Alliance","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Strategic alliance; Alliance; Business; Automotive industry; Competence-based management; Strategic management; Competitive advantage; Competence (human resources); Industrial organization; Empirical research; Critical success factor; Strategic fit; Strategic planning; Marketing; Knowledge management; Strategic financial management; Management; Economics; Engineering; Political science; Computer science","score_opus":0.1108171753284775,"score_gpt":0.24737904017622314,"score_spread":0.13656186484774563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193595669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97253764,0.023603763,0.0008713238,0.00033943536,0.0004423854,0.0000821232,0.000041200907,0.0000046472787,0.0020774691],"genre_scores_gemma":[0.94963247,0.049561806,0.00057298277,0.000062785686,0.00009293929,0.000007165895,0.000004199442,0.000010309837,0.000055359902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99825376,0.000056322595,0.0010223712,0.00026770108,0.00013091852,0.00026890004],"domain_scores_gemma":[0.99882954,0.00016453964,0.0006075833,0.00021493617,0.00009738856,0.000086009124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061498187,0.00018069771,0.0005848508,0.00021361712,0.00012349067,0.00011926638,0.00028414943,0.00006114954,0.00008373858],"category_scores_gemma":[0.00009376368,0.00014395022,0.00023694825,0.0005975993,0.0001627855,0.00035209922,0.00005825246,0.0002941991,0.000004307061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006383121,0.0003004163,0.07227344,0.00015875623,0.00007647998,0.00020438537,0.00050120754,0.0030009223,0.000012643507,0.9222228,0.000038291073,0.001146826],"study_design_scores_gemma":[0.0031026127,0.0006025701,0.5542231,0.0008324299,0.00032587486,0.000014272904,0.012286351,0.006220288,0.00083247374,0.41056913,0.010055891,0.0009349634],"about_ca_topic_score_codex":0.00024295445,"about_ca_topic_score_gemma":0.0003631466,"teacher_disagreement_score":0.51165366,"about_ca_system_score_codex":0.00005683621,"about_ca_system_score_gemma":0.000047497084,"threshold_uncertainty_score":0.587012},"labels":[],"label_agreement":null},{"id":"W3193945846","doi":"10.3390/jrfm14090403","title":"Measuring Synergies of Banks’ Cross-Border Mergers by Real Options: Case Study of Luminor Group AB","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Multinational corporation; Mergers and acquisitions; Value (mathematics); Business; Economics; Industrial organization; Financial economics; Microeconomics; Finance; Computer science","score_opus":0.019741752411943855,"score_gpt":0.2615491142100391,"score_spread":0.24180736179809525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193945846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96378577,0.034704134,0.00047500318,0.000016746484,0.00026892812,0.00010646362,0.000052923653,0.0000033300653,0.00058672123],"genre_scores_gemma":[0.9185524,0.080331795,0.00059804926,0.000010011826,0.000058499838,0.0000043753794,0.0000026727785,0.000010104921,0.0004321055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840724,0.00003099692,0.0010956458,0.0002075365,0.000105980114,0.0001526205],"domain_scores_gemma":[0.99857146,0.000037001657,0.0010141121,0.00019056452,0.00012505846,0.00006178817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062989397,0.00013399805,0.00058509567,0.00029948045,0.00012489941,0.000048631773,0.000101624035,0.000054382792,0.000074472955],"category_scores_gemma":[0.000065261745,0.00013275941,0.00022008378,0.00037418533,0.000074421725,0.00022589596,0.000095356954,0.00013221729,0.0000021578562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041350097,0.006231254,0.6738092,0.00062630547,0.0024435513,0.0037672655,0.011630657,0.0045101955,0.00019209374,0.2367094,0.0030170023,0.056649588],"study_design_scores_gemma":[0.0140459705,0.0029243925,0.8609544,0.00033663175,0.0023246382,0.00043220815,0.04764711,0.001498956,0.0008126556,0.021944346,0.04549107,0.0015875873],"about_ca_topic_score_codex":0.0012853213,"about_ca_topic_score_gemma":0.00030270507,"teacher_disagreement_score":0.21476506,"about_ca_system_score_codex":0.00004018004,"about_ca_system_score_gemma":0.000011839691,"threshold_uncertainty_score":0.5413771},"labels":[],"label_agreement":null},{"id":"W3194600971","doi":"10.1561/103.00000039","title":"Estimation of an Efficient Production Frontier with Increasing Marginal Product: The Case of the Canadian Oil and Gas Industry","year":2021,"lang":"en","type":"article","venue":"Data Envelopment Analysis Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"","keywords":"Frontier; Production (economics); Estimation; Product (mathematics); Petroleum industry; Economics; Econometrics; Fossil fuel; Industrial organization; Petroleum engineering; Environmental science; Microeconomics; Mathematics; Engineering; Waste management; Geography; Environmental engineering","score_opus":0.02638572053417593,"score_gpt":0.2228233017135845,"score_spread":0.19643758117940857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194600971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99408203,0.0033607343,0.00009688252,0.00205961,0.00008589359,0.00003592552,0.00012884956,0.0000017808405,0.00014827857],"genre_scores_gemma":[0.9952954,0.00073421927,0.0034357277,0.000032364453,0.00005877022,0.000001736193,0.00018898462,0.0000066907105,0.0002460964],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885136,0.000082695995,0.0005106819,0.00030643135,0.00009540135,0.00015344998],"domain_scores_gemma":[0.9985521,0.000014653352,0.0005762469,0.0006503539,0.00010388666,0.0001027914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015437996,0.000105191015,0.0002963331,0.0003845945,0.00044770996,0.0001379455,0.0002598924,0.000051704006,0.00011393722],"category_scores_gemma":[0.00016300792,0.00006717477,0.00007194943,0.0011093502,0.00013919134,0.0002762922,0.00009921396,0.0002714861,0.0000013125458],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016417819,0.00078367523,0.64199984,0.00014619683,0.013224306,0.00054940756,0.007667302,0.19680165,0.00016828986,0.01913248,0.002455346,0.11690731],"study_design_scores_gemma":[0.001034779,0.00007058114,0.43833214,0.00013209468,0.004768057,0.0042555644,0.004390388,0.53681207,0.0023161797,0.0031150538,0.0040477547,0.00072532427],"about_ca_topic_score_codex":0.027525233,"about_ca_topic_score_gemma":0.09906823,"teacher_disagreement_score":0.34001043,"about_ca_system_score_codex":0.000109615896,"about_ca_system_score_gemma":0.00021790803,"threshold_uncertainty_score":0.97895056},"labels":[],"label_agreement":null},{"id":"W3194907407","doi":"10.2139/ssrn.3465196","title":"Investing in Electricity Production Under a Reliability Options Scheme","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Production (economics); Reliability (semiconductor); Electricity; Scheme (mathematics); Business; Reliability engineering; Computer science; Economics; Engineering; Microeconomics; Electrical engineering; Mathematics; Power (physics); Physics","score_opus":0.016813151996468302,"score_gpt":0.2162701006163609,"score_spread":0.1994569486198926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194907407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795581,0.016573709,0.00043879426,0.0016624535,0.00022948299,0.00016122907,0.0000015987172,0.000022663373,0.0013519481],"genre_scores_gemma":[0.98262346,0.01224268,0.00028003776,0.00009057017,0.00014678329,0.000006698565,0.0000048939346,0.000016004775,0.0045888517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99780846,0.0000336361,0.0005552366,0.00035466935,0.0000562417,0.0011917648],"domain_scores_gemma":[0.9993576,0.000022604872,0.00029608273,0.00022747183,0.00004029088,0.000055948964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024291705,0.0001275031,0.00028299793,0.00042298756,0.000119119824,0.00005854218,0.00016512287,0.00008394441,0.00011291697],"category_scores_gemma":[0.00017815555,0.00013316283,0.00015314772,0.00073855027,0.000033560118,0.0003989902,0.000027264588,0.0012868986,0.00041122295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010009612,0.0000878024,0.14958422,0.000004560636,0.000047761085,2.6736086e-7,0.00006944878,0.0010024807,0.00018294378,0.8488806,0.000025334628,0.00010458048],"study_design_scores_gemma":[0.00037054712,0.000103205326,0.025284294,0.000009354805,0.000008237467,0.000027740107,0.0003734001,0.004262938,0.00005549002,0.96890646,0.00040544456,0.00019289866],"about_ca_topic_score_codex":0.0005416902,"about_ca_topic_score_gemma":0.0010216055,"teacher_disagreement_score":0.12429993,"about_ca_system_score_codex":0.0015643142,"about_ca_system_score_gemma":0.00030978784,"threshold_uncertainty_score":0.55910057},"labels":[],"label_agreement":null},{"id":"W3195420517","doi":"10.2139/ssrn.3904545","title":"Valuing Real Options with Scale-dependent Payoff","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stochastic game; Scale (ratio); Economics; Econometrics; Mathematical economics; Actuarial science; Financial economics; Geography; Cartography","score_opus":0.011926040283846478,"score_gpt":0.20462614183070776,"score_spread":0.1927001015468613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195420517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8344183,0.14285329,0.0052773156,0.0022575005,0.00031454282,0.00009384285,0.000022222826,0.00005067348,0.014712338],"genre_scores_gemma":[0.8308987,0.15421268,0.00040714123,0.00009037744,0.0002623076,0.000004842406,0.000014555857,0.00002587082,0.014083545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806094,0.000023468441,0.00038717277,0.00027515346,0.000073640396,0.0011796022],"domain_scores_gemma":[0.99939436,0.000015761543,0.00022680685,0.00020516271,0.000061354374,0.00009656668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008432768,0.00013079483,0.00027408867,0.00016928073,0.00026507466,0.00014444982,0.0001538598,0.000060681974,0.00029748568],"category_scores_gemma":[0.000016120082,0.00012054616,0.0001896775,0.00030713752,0.000037586207,0.00023828715,0.000033978777,0.0008249988,0.00027570076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010859898,0.00007891559,0.016168287,0.0000022070624,0.00029652464,0.000014799962,0.00013515474,0.00021621525,0.00006227592,0.98250866,0.00005558371,0.00045051562],"study_design_scores_gemma":[0.00092636934,0.00020701103,0.00551985,0.000015628657,0.000088827524,0.0006363233,0.002222436,0.00089566736,0.00016733063,0.9868238,0.0021464992,0.00035028363],"about_ca_topic_score_codex":0.00024148944,"about_ca_topic_score_gemma":0.0030310042,"teacher_disagreement_score":0.011359393,"about_ca_system_score_codex":0.0006630701,"about_ca_system_score_gemma":0.00045410512,"threshold_uncertainty_score":0.49157298},"labels":[],"label_agreement":null},{"id":"W3201001565","doi":"10.2118/206380-ms","title":"Investment Strategy of CO2-EOR in China: Analysis Based on Real Option Approach","year":2021,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Enhanced oil recovery; Subsidy; Investment (military); Carbon capture and storage (timeline); Software deployment; Flexibility (engineering); Return on investment; Government (linguistics); Environmental economics; Work (physics); Business; Risk analysis (engineering); Industrial organization; Production (economics); Economics; Computer science; Engineering; Petroleum engineering; Climate change; Market economy; Microeconomics","score_opus":0.03392055136469784,"score_gpt":0.24828248056795946,"score_spread":0.2143619292032616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201001565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9623094,0.0006933173,0.0037998196,0.00041967683,0.000024179397,0.00016549572,0.00025042408,0.000032921744,0.032304727],"genre_scores_gemma":[0.9969072,0.0015227654,0.00083041046,0.00013094714,0.000020580297,0.000019023837,0.00041526044,0.000006737211,0.0001470952],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987911,0.00003344248,0.0005129335,0.00042256748,0.00007079076,0.00016918634],"domain_scores_gemma":[0.99943185,0.000022157816,0.00018028315,0.000239172,0.000056354962,0.0000701987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030077263,0.00013371193,0.00046028852,0.00043813296,0.00004115726,0.000044377473,0.000072881885,0.00014455356,0.00018689748],"category_scores_gemma":[0.000027994583,0.00013636719,0.0001698652,0.0008702489,0.00010088182,0.00016595356,0.000034035234,0.000150386,0.000014084023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003869646,0.0004631139,0.009749606,0.000029368517,0.000068529866,0.000007692564,0.00011162673,0.0020341054,0.00039936026,0.98660743,0.000097682336,0.00039275733],"study_design_scores_gemma":[0.0012801492,0.00054311333,0.62125385,0.000065022294,0.00020914571,0.000002685313,0.0007002371,0.14158468,0.0018291221,0.23180619,0.00019459282,0.00053118094],"about_ca_topic_score_codex":0.00048493812,"about_ca_topic_score_gemma":0.00023321684,"teacher_disagreement_score":0.7548013,"about_ca_system_score_codex":0.00006400796,"about_ca_system_score_gemma":0.000030975247,"threshold_uncertainty_score":0.5560893},"labels":[],"label_agreement":null},{"id":"W3201455530","doi":"10.1093/rfs/hhab100","title":"Group-Managed Real Options","year":2021,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Autarky; Voting; Abandonment (legal); Majority rule; Group (periodic table); Microeconomics; Economics; Investment (military); Actuarial science; Business; Political science; Law; Market economy","score_opus":0.05967368492361541,"score_gpt":0.28560744853486375,"score_spread":0.22593376361124834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201455530","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010346201,0.980078,0.000024653938,0.001048716,0.00021650361,0.00010008788,0.000047932102,0.000013230805,0.008124663],"genre_scores_gemma":[0.011439189,0.98587126,0.0006205121,0.0005657539,0.00009677826,0.000025886526,0.000022200911,0.000006718342,0.0013517245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989866,0.000018096103,0.00059788214,0.00022607819,0.000035119214,0.00013619888],"domain_scores_gemma":[0.99935555,0.000034830926,0.00027124776,0.00022296932,0.00008758807,0.000027831682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034469855,0.00010206699,0.0007294543,0.000063729145,0.000105885876,0.0000079785195,0.00009006692,0.000031461415,0.00016956824],"category_scores_gemma":[0.0004409318,0.00010002853,0.00032506092,0.0004622327,0.0000754921,0.000079336416,0.000086362066,0.000060928473,0.00018158402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.0959776e-7,0.00005748197,0.0015466815,0.0016078785,0.000115959636,0.0000067477085,0.00009965887,4.6721314e-7,0.0000056004833,0.9858489,0.0090311635,0.0016785659],"study_design_scores_gemma":[0.0005483539,0.00011628146,0.07867879,0.0045779287,0.00033070106,0.0000052251403,0.00023712241,0.000029337545,0.000117315445,0.2647734,0.6499381,0.0006474298],"about_ca_topic_score_codex":0.00008233403,"about_ca_topic_score_gemma":0.000116320705,"teacher_disagreement_score":0.7210755,"about_ca_system_score_codex":0.000043958476,"about_ca_system_score_gemma":0.000014630694,"threshold_uncertainty_score":0.4079045},"labels":[],"label_agreement":null},{"id":"W3203761078","doi":"10.1002/asmb.2647","title":"Real option valuation of timber harvesting contracts","year":2021,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"HEC Montréal; University of Northern British Columbia","keywords":"Stumpage; Valuation (finance); Profit (economics); Bidding; Profit margin; Business; Economics; Agricultural economics; Microeconomics; Finance","score_opus":0.07286546813714,"score_gpt":0.23828754605641184,"score_spread":0.16542207791927183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203761078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8759277,0.0011778169,0.106110826,0.00014646862,0.00010017394,0.00012124353,0.000021087177,0.000009173891,0.016385498],"genre_scores_gemma":[0.9978549,0.0003323091,0.0010738102,0.000039902872,0.00005481405,0.000022037204,0.00004394791,0.000011302414,0.0005669824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999071,0.000006020794,0.00045933065,0.00027256273,0.000045216315,0.00014583963],"domain_scores_gemma":[0.9994836,0.000040736824,0.00022382197,0.00014139239,0.000069014975,0.000041450992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023434046,0.000104556624,0.00031356077,0.00013927724,0.000045713423,0.000036765246,0.000048047325,0.00022303124,0.000085417814],"category_scores_gemma":[0.000044699933,0.000118552955,0.000028562254,0.0003849631,0.000053274412,0.0001975343,0.000041535375,0.00017736762,0.000015945137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009672144,0.00006218364,0.0004008693,0.000019085477,0.000018523688,0.000001332248,0.00016763038,0.16573703,0.00024487666,0.83276916,0.000013849232,0.0005558128],"study_design_scores_gemma":[0.0011596082,0.000010223014,0.02579943,0.00006985869,0.00002864695,0.0000042328415,0.00024255153,0.5527597,0.00014074601,0.41949657,0.000032019005,0.0002563961],"about_ca_topic_score_codex":0.00055615086,"about_ca_topic_score_gemma":0.00002995907,"teacher_disagreement_score":0.41327256,"about_ca_system_score_codex":0.000034708035,"about_ca_system_score_gemma":0.000033156008,"threshold_uncertainty_score":0.48344493},"labels":[],"label_agreement":null},{"id":"W3204111084","doi":"10.2991/aebmr.k.210917.042","title":"Investment Analysis of PDD","year":2021,"lang":"en","type":"article","venue":"Advances in economics, business and management research/Advances in Economics, Business and Management Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Environmental science","score_opus":0.04978938568392346,"score_gpt":0.32206129806693423,"score_spread":0.2722719123830108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204111084","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5642983,0.29328895,0.0008256043,0.0037251944,0.0010889482,0.0027172358,0.00029326003,0.00006141723,0.13370109],"genre_scores_gemma":[0.25354898,0.7414723,0.0016503406,0.00018487079,0.00008387733,0.00039877882,0.00017551177,0.000058452635,0.0024268813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932847,0.00024371389,0.002239322,0.0023630112,0.0002395852,0.0016296936],"domain_scores_gemma":[0.9969288,0.00041186812,0.0005938803,0.0013328955,0.00045505824,0.00027746495],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0056709615,0.00059316837,0.0018846804,0.0074211056,0.00041411712,0.00053139124,0.00093730213,0.00020861179,0.00020383301],"category_scores_gemma":[0.00019906834,0.00069459504,0.00022867054,0.0060432386,0.0013817183,0.003028655,0.002236979,0.00055997196,0.000044277007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018761947,0.0006150952,0.060170982,0.0014035713,0.00091857696,0.00010802665,0.0002512219,0.019046197,0.0000024134436,0.8741931,0.0001224857,0.04298073],"study_design_scores_gemma":[0.0031427376,0.00008745988,0.23586509,0.000338893,0.00018471907,0.000004397609,0.0035930295,0.015532071,0.00004051115,0.30105284,0.43903556,0.0011226945],"about_ca_topic_score_codex":0.0013282815,"about_ca_topic_score_gemma":0.013621546,"teacher_disagreement_score":0.5731402,"about_ca_system_score_codex":0.00071805256,"about_ca_system_score_gemma":0.00006980046,"threshold_uncertainty_score":0.9995505},"labels":[],"label_agreement":null},{"id":"W3204552122","doi":"10.1007/s42461-021-00495-8","title":"Out of the Comfort Zone: Quantifying Country Risk for Foreign Mining Project Investment Feasibilities","year":2021,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Country risk; Business; Finance; Debt; Foreign direct investment; Quality (philosophy); Valuation (finance); Financial risk; Risk management; Risk analysis (engineering); Portfolio; Economics","score_opus":0.15271541746260503,"score_gpt":0.2840176215104189,"score_spread":0.1313022040478139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204552122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966964,0.007175846,0.018628728,0.00021512271,0.0008445025,0.000638997,0.00019040894,0.000044985118,0.0052973838],"genre_scores_gemma":[0.98477554,0.001015107,0.010636307,0.0002442978,0.00013655493,0.00022049707,0.0002764296,0.00003776668,0.0026575185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998343,0.0000617039,0.0008366414,0.0004175238,0.000099538534,0.00024160676],"domain_scores_gemma":[0.99847865,0.00015738499,0.00078839314,0.00043801797,0.00010159648,0.000035979876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087648974,0.00018568813,0.0004969079,0.0001757754,0.0002815109,0.000111243695,0.00016829137,0.00009237875,0.00005209871],"category_scores_gemma":[0.00037581826,0.00016460102,0.00034292936,0.00038503736,0.00009998931,0.00050798914,0.000078616344,0.00008356295,0.000011738407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067353576,0.00027798789,0.07701501,0.00020297348,0.0008989488,0.0000028481973,0.021841345,0.002543805,0.0005123738,0.89386076,0.0020314518,0.0007451548],"study_design_scores_gemma":[0.0056172824,0.0008368912,0.00919269,0.00048503603,0.0014977015,0.00001220652,0.12812217,0.3690922,0.024030307,0.3292759,0.12951861,0.0023190058],"about_ca_topic_score_codex":0.00019280265,"about_ca_topic_score_gemma":0.000725185,"teacher_disagreement_score":0.56458485,"about_ca_system_score_codex":0.000092184,"about_ca_system_score_gemma":0.00008791703,"threshold_uncertainty_score":0.6712235},"labels":[],"label_agreement":null},{"id":"W3211578379","doi":"10.3390/jrfm14110530","title":"Optimization of a Portfolio of Investment Projects: A Real Options Approach Using the Omega Measure","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio optimization; Portfolio; Post-modern portfolio theory; Sharpe ratio; Measure (data warehouse); Econometrics; Modern portfolio theory; Computer science; Flexibility (engineering); Asset (computer security); Actuarial science; Replicating portfolio; Black–Litterman model; Economics; Mathematical optimization; Mathematics; Financial economics; Statistics; Data mining","score_opus":0.03082446589995308,"score_gpt":0.21711973451334068,"score_spread":0.1862952686133876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211578379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52820736,0.07477795,0.38144398,0.00017834788,0.00053970027,0.000620673,0.00010842889,0.000009445917,0.014114091],"genre_scores_gemma":[0.8912355,0.07615896,0.032196257,0.00006893049,0.00011737121,0.0000059004224,0.000006974938,0.0000128936545,0.00019724174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880683,0.000041089286,0.00080259034,0.00014237071,0.00009409145,0.00011300118],"domain_scores_gemma":[0.99853504,0.000019366025,0.001113008,0.0001712141,0.00012051499,0.000040847564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007026001,0.00009938113,0.00039999044,0.00031533538,0.000092904535,0.000028659146,0.000113251524,0.000050416766,0.000013770208],"category_scores_gemma":[0.00007026469,0.000078909994,0.00021074661,0.0005478421,0.00007738124,0.00014095809,0.000070796086,0.00011067529,3.3787083e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008067791,0.00061201607,0.02352144,0.00016026032,0.00039594763,0.000030593656,0.0023287833,0.05953802,0.00001717062,0.91013575,0.0003759174,0.002803434],"study_design_scores_gemma":[0.013392068,0.0017551659,0.2640495,0.0010910243,0.005624214,0.0003878699,0.026546337,0.3404651,0.00096707424,0.3089801,0.034547485,0.00219404],"about_ca_topic_score_codex":0.00014667641,"about_ca_topic_score_gemma":0.000010028917,"teacher_disagreement_score":0.60115564,"about_ca_system_score_codex":0.000048263613,"about_ca_system_score_gemma":0.00004251084,"threshold_uncertainty_score":0.32178563},"labels":[],"label_agreement":null},{"id":"W3212470135","doi":"10.32920/ryerson.14645874.v1","title":"The valuation of a natural gas-fired power plant with multiple turbines using clean spark spread and weather options","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Electricity; Valuation (finance); Natural gas prices; Power station; Revenue; Valuation of options; SPARK (programming language); Environmental science; Call option; Environmental economics; Business; Economics; Finance; Engineering; Computer science; Electrical engineering","score_opus":0.04618637777375283,"score_gpt":0.2278599129693761,"score_spread":0.18167353519562326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212470135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747047,0.022852257,0.00046916545,0.00031881573,0.00029057224,0.00024686873,0.000112263915,0.000015508158,0.0009898649],"genre_scores_gemma":[0.99180645,0.0043252264,0.00269915,0.000038605038,0.00004518873,0.000013432279,0.00012791531,0.000019351599,0.0009246864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895936,0.000021120924,0.00044348533,0.00036945177,0.000054322652,0.0001522284],"domain_scores_gemma":[0.99905056,0.000077991725,0.00041398703,0.00035225603,0.00006646982,0.00003871474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000281593,0.00018190719,0.0004018762,0.00014638643,0.00013990128,0.00017806022,0.000126541,0.000109553635,0.00008526149],"category_scores_gemma":[0.000046157373,0.00012619222,0.000160339,0.00013305954,0.0001042947,0.00009711723,0.00017565135,0.00018123862,0.0000051918864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004242885,0.0007144449,0.33924448,0.00033048957,0.005298314,0.000023098655,0.00991032,0.01884356,0.0009777845,0.6212865,0.001190377,0.0017563289],"study_design_scores_gemma":[0.0015181309,0.000120951365,0.09345843,0.0002890382,0.000387998,0.00002178837,0.004267233,0.85603565,0.0009905047,0.040233556,0.0016331217,0.0010435898],"about_ca_topic_score_codex":0.002982282,"about_ca_topic_score_gemma":0.0026264193,"teacher_disagreement_score":0.8371921,"about_ca_system_score_codex":0.00005106396,"about_ca_system_score_gemma":0.000029898365,"threshold_uncertainty_score":0.51459694},"labels":[],"label_agreement":null},{"id":"W3213856515","doi":"10.3390/jrfm14110535","title":"Choosing a Price and Cost Combination—The Role of Correlation","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ceteris paribus; Profitability index; Production (economics); Variance (accounting); Economics; Microeconomics; Econometrics; Value (mathematics); Industrial organization; Mathematics; Statistics","score_opus":0.0074606124765699226,"score_gpt":0.1835526771855525,"score_spread":0.17609206470898256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213856515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8833305,0.0901245,0.019238384,0.0003807082,0.00039096366,0.00017955719,0.000025653962,0.0000039206134,0.006325763],"genre_scores_gemma":[0.96820956,0.030838544,0.0006080448,0.00005534366,0.000050988347,0.0000014880583,0.0000020010082,0.0000039963425,0.00023000839],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993577,0.00001495366,0.00041628612,0.000091494825,0.000045319735,0.00007421773],"domain_scores_gemma":[0.99925685,0.000038490853,0.0005388231,0.00007559893,0.000058851936,0.000031359643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004051888,0.000058595237,0.00020556785,0.00014534594,0.00010625988,0.00004457656,0.000053000724,0.000030113788,0.000020776126],"category_scores_gemma":[0.00007284574,0.00004991064,0.00007402149,0.00021337069,0.000041435425,0.00013370671,0.000048377962,0.00009650465,0.0000032520911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021119295,0.00008537114,0.088828936,0.000021135314,0.0000611421,0.00000808329,0.00093361584,0.00013402091,0.0000073310075,0.85610086,0.00020632573,0.05359205],"study_design_scores_gemma":[0.0011259253,0.000091403024,0.5222071,0.000049152095,0.00014856667,0.000016619295,0.0010933701,0.0049999575,0.00008196709,0.32177225,0.14827713,0.00013654343],"about_ca_topic_score_codex":0.00004174283,"about_ca_topic_score_gemma":0.0000125202205,"teacher_disagreement_score":0.53432864,"about_ca_system_score_codex":0.000028499795,"about_ca_system_score_gemma":0.000009245328,"threshold_uncertainty_score":0.20352969},"labels":[],"label_agreement":null},{"id":"W330962615","doi":"","title":"Capacity Management, Investment, and Hedging: Review and Recent Developments","year":2003,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Portfolio; Investment (military); Economics; Investment strategy; Investment decisions; Risk management; Capacity utilization; Microeconomics; Risk analysis (engineering); Actuarial science; Business; Financial economics; Finance; Production (economics); Profit (economics)","score_opus":0.0529788643299281,"score_gpt":0.21857892314205435,"score_spread":0.16560005881212625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W330962615","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045722812,0.4058399,0.00018193877,0.0015676704,0.00013688607,0.00050696137,0.0000153292,0.000047990343,0.5459805],"genre_scores_gemma":[0.043644235,0.920386,0.008933387,0.01092184,0.00000992157,0.000041327035,0.000013738006,0.00001884534,0.016030662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909395,0.000013016179,0.00034779095,0.00033711732,0.000023401597,0.00018470988],"domain_scores_gemma":[0.999585,0.000007925048,0.00011897886,0.00016352638,0.000011999953,0.00011259189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034931855,0.00013193364,0.0003061306,0.00013179876,0.00009690346,0.000051258023,0.00005586864,0.00003392848,0.0006152207],"category_scores_gemma":[0.000029799967,0.00012775624,0.000034869918,0.00022958688,0.000058240203,0.00014582067,0.00004905198,0.00005289931,0.00014329166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.4871044e-7,0.000027809203,0.019627795,0.00017666558,0.00011556369,0.0000012538958,0.0000501623,7.9558454e-8,8.792967e-7,0.975112,0.0043266653,0.0005606294],"study_design_scores_gemma":[0.00045871688,0.000018763307,0.01729707,0.00006256849,0.00008824745,0.000007694356,0.00005303103,0.000035381945,0.000053487893,0.13856909,0.8430024,0.00035355258],"about_ca_topic_score_codex":0.00003179751,"about_ca_topic_score_gemma":0.0000130436965,"teacher_disagreement_score":0.83867574,"about_ca_system_score_codex":0.00004093644,"about_ca_system_score_gemma":0.0000035667433,"threshold_uncertainty_score":0.6736235},"labels":[],"label_agreement":null},{"id":"W4200121813","doi":"10.47670/wuwijar202151ags","title":"Predictive Value of Estimated Beta","year":2021,"lang":"en","type":"article","venue":"Westcliff International Journal of Applied Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Capital asset pricing model; BETA (programming language); Econometrics; Economics; Expected return; Systematic risk; Proxy (statistics); Index (typography); Equity (law); Financial economics; Statistics; Mathematics; Portfolio","score_opus":0.08467338139345619,"score_gpt":0.3455647506442143,"score_spread":0.2608913692507581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200121813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9148817,0.0078802435,0.001321957,0.0024986912,0.0008185519,0.00012621396,0.00017727753,0.000009862138,0.07228549],"genre_scores_gemma":[0.9942658,0.0028878176,0.0018760483,0.00006613138,0.0002804977,0.000003616737,0.000024310571,0.00001344479,0.0005823535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983576,0.000037685222,0.0008494517,0.00018924868,0.00037587358,0.0001901261],"domain_scores_gemma":[0.99802977,0.00023129638,0.00049203035,0.0001657916,0.0009804287,0.0001006761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017930919,0.000084450585,0.0003507426,0.0007030006,0.000053082003,0.00007443303,0.00050350925,0.00007583498,0.00080395717],"category_scores_gemma":[0.0002640856,0.000081980776,0.00020306463,0.00044495848,0.00016033927,0.00014002931,0.00015746734,0.00037973915,0.00014547557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024601267,0.00034013676,0.00943994,0.000012707596,0.00084755523,0.000079471036,0.000507809,0.0013820203,0.0025611615,0.9813843,0.0026550149,0.00054387527],"study_design_scores_gemma":[0.0038778046,0.000494743,0.13183549,0.00022284746,0.00008092652,0.00013632928,0.001989901,0.020553239,0.06975496,0.7478858,0.022716392,0.00045156584],"about_ca_topic_score_codex":0.00006028789,"about_ca_topic_score_gemma":0.000006111092,"teacher_disagreement_score":0.2334985,"about_ca_system_score_codex":0.00014538427,"about_ca_system_score_gemma":0.00013217474,"threshold_uncertainty_score":0.88027674},"labels":[],"label_agreement":null},{"id":"W4206098554","doi":"10.26686/wgtn.17150867","title":"Essays in Risk Management","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Proxy (statistics); Volatility (finance); Liberian dollar; Surprise; Private information retrieval; Economics; Realized variance; Financial economics; Econometrics; Variance (accounting); Monetary economics; Actuarial science; Finance; Accounting; Statistics; Mathematics","score_opus":0.016581903069784243,"score_gpt":0.2113930572323626,"score_spread":0.19481115416257835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206098554","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021614118,0.017191637,0.00004297232,0.00011110818,0.000441978,0.00020113657,0.00005657042,0.000036723377,0.9603038],"genre_scores_gemma":[0.41612872,0.13520919,0.002410363,0.00052932475,0.00022640491,0.00027795622,0.0033475754,0.000114603354,0.44175586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883246,0.000006119427,0.0005388407,0.00043065578,0.000029903511,0.00016199036],"domain_scores_gemma":[0.99942374,0.0000085780875,0.00031294397,0.0001965851,0.000006458924,0.00005171242],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012897493,0.00017215156,0.00043417414,0.00045147826,0.0000356752,0.000055824483,0.00017691683,0.00013960953,0.0024161323],"category_scores_gemma":[0.0000116607125,0.00019029054,0.00020540698,0.00036039448,0.000007442351,0.000070624454,0.00002194677,0.00020321066,0.0033468748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010438184,0.000043242315,0.0056382893,0.00006699591,0.0001519628,0.000013311303,0.0004305036,0.000013737346,1.2601113e-7,0.98850644,0.004257038,0.00086791004],"study_design_scores_gemma":[0.0007869454,0.0000453471,0.036614336,0.00004745681,0.00011863867,1.6856565e-7,0.0020869477,0.006438414,0.000034242166,0.8023885,0.15058148,0.0008575633],"about_ca_topic_score_codex":0.0007774563,"about_ca_topic_score_gemma":0.0012822938,"teacher_disagreement_score":0.5185479,"about_ca_system_score_codex":0.00006664427,"about_ca_system_score_gemma":0.000004264991,"threshold_uncertainty_score":0.9984958},"labels":[],"label_agreement":null},{"id":"W4206197201","doi":"10.26686/wgtn.17150867.v1","title":"Essays in Risk Management","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Proxy (statistics); Volatility (finance); Liberian dollar; Surprise; Private information retrieval; Realized variance; Economics; Financial economics; Variance (accounting); Econometrics; Public information; Monetary economics; Actuarial science; Computer science; Finance; Accounting","score_opus":0.016581903069784243,"score_gpt":0.2113930572323626,"score_spread":0.19481115416257835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206197201","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021614118,0.017191637,0.00004297232,0.00011110818,0.000441978,0.00020113657,0.00005657042,0.000036723377,0.9603038],"genre_scores_gemma":[0.41612872,0.13520919,0.002410363,0.00052932475,0.00022640491,0.00027795622,0.0033475754,0.000114603354,0.44175586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883246,0.000006119427,0.0005388407,0.00043065578,0.000029903511,0.00016199036],"domain_scores_gemma":[0.99942374,0.0000085780875,0.00031294397,0.0001965851,0.000006458924,0.00005171242],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012897493,0.00017215156,0.00043417414,0.00045147826,0.0000356752,0.000055824483,0.00017691683,0.00013960953,0.0024161323],"category_scores_gemma":[0.0000116607125,0.00019029054,0.00020540698,0.00036039448,0.000007442351,0.000070624454,0.00002194677,0.00020321066,0.0033468748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010438184,0.000043242315,0.0056382893,0.00006699591,0.0001519628,0.000013311303,0.0004305036,0.000013737346,1.2601113e-7,0.98850644,0.004257038,0.00086791004],"study_design_scores_gemma":[0.0007869454,0.0000453471,0.036614336,0.00004745681,0.00011863867,1.6856565e-7,0.0020869477,0.006438414,0.000034242166,0.8023885,0.15058148,0.0008575633],"about_ca_topic_score_codex":0.0007774563,"about_ca_topic_score_gemma":0.0012822938,"teacher_disagreement_score":0.5185479,"about_ca_system_score_codex":0.00006664427,"about_ca_system_score_gemma":0.000004264991,"threshold_uncertainty_score":0.9984958},"labels":[],"label_agreement":null},{"id":"W4213284304","doi":"10.1287/orsc.2021.1565","title":"Incentivizing Effort Allocation Through Resource Allocation: Evidence from Scientists’ Response to Changes in Funding Policy","year":2022,"lang":"en","type":"article","venue":"Organization Science","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Resource allocation; Spillover effect; Business; Resource (disambiguation); Resource management (computing); Economics; Industrial organization; Microeconomics; Computer science; Management","score_opus":0.05506857509245391,"score_gpt":0.27972494776410245,"score_spread":0.22465637267164854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213284304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811339,0.0008655959,0.004814576,0.01223793,0.0002699313,0.00022701135,0.000025412794,0.000044781067,0.00038089766],"genre_scores_gemma":[0.99643606,0.00015945981,0.0011354114,0.0011648557,0.00007859229,0.000025679965,0.000032264932,0.000015747597,0.0009519299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983473,0.000047742156,0.00037985374,0.00066851935,0.0002481554,0.00030842418],"domain_scores_gemma":[0.99909025,0.000087566215,0.0002461138,0.00038526332,0.00010052346,0.000090264366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024373883,0.00010647221,0.00018138632,0.001129183,0.0008662053,0.0002962982,0.00065157266,0.000026011076,0.0005405755],"category_scores_gemma":[0.0015085437,0.00013338713,0.000023429304,0.011286003,0.00014415295,0.000920118,0.0004685991,0.00009461259,0.0002103474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092852344,0.00018946579,0.49429423,0.000013224102,0.000018615472,0.0000069635144,0.040783532,0.013980677,0.090524204,0.35821623,0.0011571357,0.00072289084],"study_design_scores_gemma":[0.0007555553,0.0002213032,0.8647765,0.000117998665,0.000017496828,0.00000831737,0.005877101,0.021020515,0.03673392,0.017456345,0.051948998,0.0010659536],"about_ca_topic_score_codex":0.0013200828,"about_ca_topic_score_gemma":0.00018415626,"teacher_disagreement_score":0.37048227,"about_ca_system_score_codex":0.001159001,"about_ca_system_score_gemma":0.00019020545,"threshold_uncertainty_score":0.6662238},"labels":[],"label_agreement":null},{"id":"W4214631485","doi":"10.55365/1923.x2020.18.07","title":"Responding to Uncertainties in COVID-19 with Real Options: The Perspective of Governments","year":2020,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Emil Aaltosen Säätiö","keywords":"Status quo bias; Coronavirus disease 2019 (COVID-19); Status quo; Government (linguistics); Perspective (graphical); Order (exchange); Scale (ratio); Business; Economics; 2019-20 coronavirus outbreak; Phenomenon; Actuarial science; Risk analysis (engineering); Public economics; Finance; Computer science; Medicine; Market economy","score_opus":0.04119185111559114,"score_gpt":0.2651067164162519,"score_spread":0.22391486530066074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214631485","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48664606,0.49095213,0.000062185376,0.018351203,0.000030845993,0.00045827232,0.00019258058,0.0000035749222,0.0033031513],"genre_scores_gemma":[0.28920147,0.7088416,0.0003434212,0.0014878514,0.000012654024,0.00001652965,0.0000023328714,0.0000056184376,0.0000884967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991247,0.000012893165,0.00049632665,0.00024978857,0.000015952975,0.00010031487],"domain_scores_gemma":[0.99930936,0.00005314944,0.00039981012,0.00017161618,0.00001894339,0.000047147056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003753964,0.00009220516,0.00048275644,0.000105345716,0.00003781447,0.0000140934535,0.00014640256,0.000023500865,0.000026455635],"category_scores_gemma":[0.00013868426,0.00007476837,0.00007866561,0.00039232525,0.00008676473,0.0001102594,0.00005442313,0.000055003868,0.000008672401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037131187,0.000016186172,0.0032363986,0.0003196516,0.00003230786,5.596316e-7,0.00083970214,0.0009998169,0.0000012586219,0.9941776,0.00015487996,0.00018452415],"study_design_scores_gemma":[0.0039921016,0.0019846347,0.0333951,0.0066526867,0.00022967768,0.000011637024,0.01045013,0.035421442,0.00017162897,0.31217772,0.5937144,0.00179883],"about_ca_topic_score_codex":0.0005169816,"about_ca_topic_score_gemma":0.000094218914,"teacher_disagreement_score":0.68199986,"about_ca_system_score_codex":0.00013423331,"about_ca_system_score_gemma":0.0000385152,"threshold_uncertainty_score":0.3048966},"labels":[],"label_agreement":null},{"id":"W4214758501","doi":"10.17578/15-3/4-1","title":"Corporate Finance Practices in Canada: Where Do We Stand?","year":2011,"lang":"en","type":"article","venue":"Multinational Finance Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University; Queen's University","funders":"","keywords":"Capital budgeting; Cost of capital; Weighted average cost of capital; Corporate finance; Capital structure; Economic capital; Finance; Return on capital; Economics; Capital adequacy ratio; Financial capital; Internal rate of return; Modified internal rate of return; Business; Project appraisal; Individual capital; Microeconomics; Capital formation; Return on investment; Production (economics); Investment performance","score_opus":0.09825484856742071,"score_gpt":0.23773327845622003,"score_spread":0.13947842988879933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214758501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7959696,0.19531463,0.00018865478,0.002352041,0.0007475369,0.00014352363,0.00015184429,0.000009382521,0.005122784],"genre_scores_gemma":[0.90914965,0.08399252,0.0039173313,0.00007718112,0.00013082594,0.000013835011,0.0000038580215,0.000017844104,0.0026969477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983991,0.000027260841,0.00080905564,0.00031369578,0.00012540634,0.00032553144],"domain_scores_gemma":[0.9971842,0.00006426973,0.0023996844,0.0001655059,0.00012479817,0.00006153023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059277547,0.00017194786,0.00034840577,0.00026777352,0.00017425422,0.0000783311,0.0002974727,0.00006575609,0.0008102409],"category_scores_gemma":[0.00017858986,0.00017942213,0.00010245386,0.0004368587,0.000048618214,0.00071815663,0.000040824383,0.0003818017,0.00013144857],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006785425,0.00021644191,0.4639037,0.000024769572,0.00005933152,0.00018284563,0.00083069823,0.0009053722,0.0000061581895,0.52365285,0.0072914744,0.0028585123],"study_design_scores_gemma":[0.001224142,0.00006368899,0.69177777,0.00013914552,0.00001121704,0.000059637656,0.00038077924,0.013731818,0.000061464234,0.14819199,0.14389448,0.00046390248],"about_ca_topic_score_codex":0.16146164,"about_ca_topic_score_gemma":0.36898983,"teacher_disagreement_score":0.37546083,"about_ca_system_score_codex":0.0007241475,"about_ca_system_score_gemma":0.0005981594,"threshold_uncertainty_score":0.887157},"labels":[],"label_agreement":null},{"id":"W4226268412","doi":"10.2139/ssrn.4065238","title":"Investment Under Uncertainty: The Role of Inventory Dynamics","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Dynamics (music); Investment (military); Econometrics; Economics; Environmental science; Psychology; Political science","score_opus":0.009813990226322459,"score_gpt":0.19352678808165136,"score_spread":0.1837127978553289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226268412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7532994,0.23274605,0.00042933042,0.00305384,0.0004127742,0.00019921658,0.00006111146,0.000019596147,0.009778663],"genre_scores_gemma":[0.9856992,0.010498198,0.0000098187475,0.0005138183,0.00007762538,0.000015907166,0.000018101842,0.000017437262,0.0031499348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983578,0.000052384694,0.00047003984,0.00016898428,0.00009709366,0.0008537203],"domain_scores_gemma":[0.99922526,0.000022884175,0.00046017583,0.00022256881,0.000020414911,0.00004868161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016467391,0.00011037926,0.000235791,0.0002095873,0.00039991547,0.000030060794,0.00040537593,0.000029386316,0.0003204402],"category_scores_gemma":[0.000014439887,0.000093900475,0.00025821937,0.00032196523,0.000079260826,0.00008677552,0.00011897663,0.0010024768,0.00003093089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011862027,0.0000781833,0.0064777513,0.0000011258,0.00029643287,3.9889701e-7,0.00026017148,0.0053947577,0.000007519136,0.9869872,0.00008752348,0.00039712133],"study_design_scores_gemma":[0.00024864654,0.00016695238,0.00024576226,0.0000011580111,0.00002786969,0.000025952892,0.009156807,0.022865873,0.0000058969135,0.9555319,0.011610806,0.00011236326],"about_ca_topic_score_codex":0.0007567651,"about_ca_topic_score_gemma":0.0011200227,"teacher_disagreement_score":0.23239973,"about_ca_system_score_codex":0.002059387,"about_ca_system_score_gemma":0.00037298148,"threshold_uncertainty_score":0.53852254},"labels":[],"label_agreement":null},{"id":"W4230353682","doi":"10.2139/ssrn.2446319","title":"Accounting for Semi-Permanence","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sunk costs; Economics; Capital (architecture); Value (mathematics); Investment (military); Microeconomics; Monetary economics; Business","score_opus":0.011631233052268954,"score_gpt":0.20870278702603354,"score_spread":0.19707155397376458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230353682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80917597,0.0757177,0.098440856,0.0029946307,0.0008937565,0.00028555494,0.000022577278,0.00007485033,0.012394118],"genre_scores_gemma":[0.9847514,0.009603927,0.00021515446,0.00025684605,0.00053688907,0.0000075901544,0.000006706213,0.000019347603,0.004602159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819237,0.000008051531,0.0003629105,0.00019446974,0.00003229091,0.0012099016],"domain_scores_gemma":[0.99947,0.00003990394,0.00027833713,0.00013132616,0.00003061424,0.000049849376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017524784,0.00010319223,0.00022673087,0.00016012255,0.00022589706,0.00009592879,0.00021745755,0.000055048687,0.00006418897],"category_scores_gemma":[0.000095076146,0.000102988204,0.00020812855,0.00013105627,0.00002482321,0.00023372637,0.000018843624,0.00045393096,0.00021746418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005449074,0.000016840026,0.005066088,0.0000035497962,0.00007567829,1.0249725e-7,0.000057202506,0.00004156566,0.000031751897,0.99300534,0.00023518738,0.0014612529],"study_design_scores_gemma":[0.00037538528,0.000100613266,0.00064745004,0.0000044736744,0.00001700295,0.000026540345,0.00016343928,0.009875905,0.000030465275,0.9586105,0.029985199,0.00016303014],"about_ca_topic_score_codex":0.00005738169,"about_ca_topic_score_gemma":0.00014734193,"teacher_disagreement_score":0.17557544,"about_ca_system_score_codex":0.0002917962,"about_ca_system_score_gemma":0.000086206484,"threshold_uncertainty_score":0.4199737},"labels":[],"label_agreement":null},{"id":"W4231709422","doi":"10.4018/9781605666617.ch021","title":"A Fuzzy Real Option Model to Price Grid Compute Resources","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Grid; Grid computing; Computer science; Fuzzy logic; Operations research; Distributed computing; Artificial intelligence; Engineering; Mathematics","score_opus":0.04554412755068267,"score_gpt":0.22262482738139908,"score_spread":0.1770806998307164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231709422","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015223023,0.0025780338,0.0010601189,0.00006388361,0.0004310049,0.0003209542,0.00080205884,0.00010883472,0.9931128],"genre_scores_gemma":[0.12886938,0.0017284009,0.006521436,0.0020368234,0.0018189141,0.0000636932,0.00014506972,0.00019974117,0.85861653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980067,0.00000499349,0.00075875904,0.00076908845,0.00009186697,0.00036857408],"domain_scores_gemma":[0.99857074,0.000009934658,0.0005194765,0.0005811121,0.00005670766,0.00026202304],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017637465,0.0004299337,0.0007896406,0.00028100863,0.00012165263,0.00012249804,0.00042251564,0.0004068988,0.00007214101],"category_scores_gemma":[0.0000062928193,0.0004819292,0.00046307457,0.000042113767,0.00007305264,0.00007293536,0.0002299766,0.00021671793,0.0025352547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032597793,0.000016107808,0.00003764097,0.000017282257,0.00019175421,0.000010757942,0.0003674474,0.00028501012,0.0000011046272,0.99516475,0.003549887,0.0003256582],"study_design_scores_gemma":[0.00019913023,0.00009163256,0.00010464967,0.000047422684,0.00006548933,0.0000044005515,0.0000057239595,0.0019950743,0.0000017023438,0.9320343,0.06488498,0.00056548446],"about_ca_topic_score_codex":0.0010331633,"about_ca_topic_score_gemma":0.00021693196,"teacher_disagreement_score":0.13449627,"about_ca_system_score_codex":0.00033863419,"about_ca_system_score_gemma":0.000033895063,"threshold_uncertainty_score":0.99976325},"labels":[],"label_agreement":null},{"id":"W4231780597","doi":"10.32920/ryerson.14648727.v1","title":"Understanding the Influence of Complementary Innovations on Niche Formation in Large Energy Technology Systems : The Case of Distributed Electricity Storage in Ontario’s Electricity System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Niche; Complementarity (molecular biology); Electricity system; Smart grid; Electricity; Business; Industrial organization; Generalizability theory; Environmental economics; Environmental resource management; Economics; Engineering; Ecology; Electricity generation","score_opus":0.056198412584212445,"score_gpt":0.23256853437879516,"score_spread":0.17637012179458272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231780597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708084,0.0014687949,0.026101857,0.00027544796,0.00009638659,0.00048466102,0.00036185115,0.000018413362,0.00038421788],"genre_scores_gemma":[0.9991713,0.0002615035,0.000019585977,0.000044874272,0.0000077176555,0.000093511626,0.00036459274,0.000009798864,0.00002710542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975951,0.00010099373,0.0015923706,0.0003521866,0.0000719824,0.000287379],"domain_scores_gemma":[0.9978623,0.00016835221,0.0012622376,0.000583303,0.00010584542,0.000017959896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010688126,0.00021307288,0.00073411403,0.001266919,0.00013238763,0.000057880352,0.00038755784,0.00024229691,0.000021363145],"category_scores_gemma":[0.000071319126,0.00016411398,0.00013407035,0.0024934944,0.00006868357,0.0001323435,0.00027572745,0.0006914251,9.371827e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012762196,0.00015860757,0.032663796,0.00013149632,0.0001327267,0.00003547823,0.00066390994,0.05497352,0.000028075077,0.9111525,0.00004244441,0.000004712718],"study_design_scores_gemma":[0.002182055,0.0002740514,0.06655308,0.0007864742,0.00017187378,0.0001505166,0.035462808,0.8280712,0.0012461359,0.063866034,0.00023503369,0.0010007907],"about_ca_topic_score_codex":0.3085896,"about_ca_topic_score_gemma":0.5312429,"teacher_disagreement_score":0.84728646,"about_ca_system_score_codex":0.0028494815,"about_ca_system_score_gemma":0.0001105343,"threshold_uncertainty_score":0.7451295},"labels":[],"label_agreement":null},{"id":"W4232098416","doi":"10.2139/ssrn.1923056","title":"Embracing Uncertainty: Value Creation by Advanced Materials Ventures","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commercialization; New Ventures; Sample (material); Value creation; Business; Value (mathematics); Complementary assets; Industrial organization; Marketing; Entrepreneurship; Computer science; Finance","score_opus":0.005194294683611113,"score_gpt":0.21297958853639937,"score_spread":0.20778529385278827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232098416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724048,0.022578737,0.00049861084,0.0007141732,0.0008712745,0.00008868627,0.000033896486,0.000025670539,0.0027841898],"genre_scores_gemma":[0.9844971,0.011387725,0.00008455386,0.00012625374,0.0003993495,0.000006502986,0.00004559686,0.000022116968,0.0034308503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982515,0.000016964177,0.0004557735,0.00022557676,0.000050913266,0.0009992676],"domain_scores_gemma":[0.99933153,0.00002008825,0.00038852182,0.00016360749,0.000026520001,0.00006973455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001089617,0.00013843959,0.00027825098,0.00016969915,0.00022485375,0.00014627169,0.00019154261,0.00009717639,0.00034036397],"category_scores_gemma":[0.00007110405,0.00013514243,0.00013729442,0.00014280295,0.000038026792,0.0002908705,0.000020631767,0.00079299416,0.00017844138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026764035,0.00003862076,0.00038047796,0.0000025802701,0.00012064527,5.8410285e-7,0.000086620625,0.00011296889,0.017726563,0.9803581,0.00022226274,0.00092381134],"study_design_scores_gemma":[0.00047124122,0.00009659922,0.0003631197,0.000005288398,0.00002406029,0.000034043085,0.00023239953,0.00029838696,0.003603784,0.9854713,0.009194041,0.00020572536],"about_ca_topic_score_codex":0.00036240238,"about_ca_topic_score_gemma":0.0004105944,"teacher_disagreement_score":0.0141227795,"about_ca_system_score_codex":0.00029878598,"about_ca_system_score_gemma":0.00012517771,"threshold_uncertainty_score":0.55109483},"labels":[],"label_agreement":null},{"id":"W4234347247","doi":"10.1016/s1535-5535(03)00086-8","title":"Economic justification of laboratory automation","year":2004,"lang":"en","type":"article","venue":"JALA Journal of the Association for Laboratory Automation","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automation; Economics; Computer science; Engineering; Mechanical engineering","score_opus":0.010908528022522018,"score_gpt":0.21897701782856496,"score_spread":0.20806848980604295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234347247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912254,0.001688551,0.002035105,0.0024148212,0.001523004,0.00030533626,0.00044715006,0.000032491913,0.00032811248],"genre_scores_gemma":[0.99800146,0.00019404471,0.0012157453,0.00014193244,0.00021746352,0.000010911504,0.000021804266,0.000016629301,0.00017999379],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984375,0.000049815684,0.0011468218,0.00012730184,0.00011193569,0.00012658545],"domain_scores_gemma":[0.99473715,0.00008890523,0.0044696894,0.00020115943,0.00046246446,0.00004060686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017993777,0.00010629236,0.00033752684,0.0002885439,0.00013720476,0.00006464891,0.00022460766,0.00014269553,0.000021601525],"category_scores_gemma":[0.00049958855,0.00009748432,0.00026060006,0.00040689504,0.00002674147,0.0007631072,0.000015662694,0.00010741097,0.00005797543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038149847,0.00024326098,0.033048756,0.00009728967,0.0005436886,2.3450544e-7,0.0015295797,0.026207382,0.0059816907,0.92672294,0.005373521,0.00021349516],"study_design_scores_gemma":[0.007206214,0.00042276166,0.5279658,0.00023218516,0.00066182204,0.0000031714596,0.00076639047,0.029538916,0.07305807,0.31299806,0.046289194,0.0008574256],"about_ca_topic_score_codex":0.000013081112,"about_ca_topic_score_gemma":0.000013361257,"teacher_disagreement_score":0.6137249,"about_ca_system_score_codex":0.001285069,"about_ca_system_score_gemma":0.00018479364,"threshold_uncertainty_score":0.3975295},"labels":[],"label_agreement":null},{"id":"W4235109713","doi":"10.1108/s0196-382120170000033011","title":"Index","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Statistics; Geography; Mathematics; Computer science; World Wide Web","score_opus":0.0445453312758056,"score_gpt":0.2486913677321686,"score_spread":0.204146036456363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235109713","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015323539,0.05835648,0.00024139142,0.00032261352,0.0023608187,0.00008670151,0.00028287532,0.000015099782,0.9381808],"genre_scores_gemma":[0.013816764,0.021806592,0.000057353594,0.0002809864,0.0006011723,0.000014689828,0.00028559915,0.00003227251,0.96310455],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988615,0.0000032197916,0.0004360869,0.00044358653,0.000024932846,0.00023069892],"domain_scores_gemma":[0.9985566,0.000009806585,0.0005840575,0.000754878,0.00001644658,0.00007822007],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001323654,0.00021571436,0.00065660087,0.00032379985,0.0001626593,0.0002609704,0.00047686245,0.00033977968,0.07801376],"category_scores_gemma":[0.00001897889,0.0002159962,0.00035951872,0.000059110735,0.00007280858,0.00013314554,0.00010591613,0.00022345498,0.31815633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001231066,0.000018062363,0.00038224462,0.000014207051,0.00013253883,0.000001465515,0.000017225422,0.0000059233967,1.10483235e-7,0.21389823,0.78541696,0.00011179518],"study_design_scores_gemma":[0.00013291328,0.000011922675,0.0003789954,0.000009949657,0.000010389733,5.5717294e-7,0.0000055061846,0.00052047014,0.000005249797,0.025331957,0.97327006,0.00032204416],"about_ca_topic_score_codex":0.0016770153,"about_ca_topic_score_gemma":0.00008901974,"teacher_disagreement_score":0.24014258,"about_ca_system_score_codex":0.000060516162,"about_ca_system_score_gemma":0.000019723166,"threshold_uncertainty_score":0.92282903},"labels":[],"label_agreement":null},{"id":"W4237778330","doi":"10.2523/81998-ms","title":"Economics of Nigerian Marginal Oil Fields","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPE Hydrocarbon Economics and Evaluation Symposium","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Net present value; Discounted cash flow; Profitability index; Cash flow; Present value; Investment (military); Marginal cost; Economics; Marginal value; Economic risk; Economic analysis; Oil field; Internal rate of return; Finance; Actuarial science; Engineering; Petroleum engineering; Production (economics); Microeconomics; Agricultural economics","score_opus":0.022548305743977586,"score_gpt":0.21621241587881812,"score_spread":0.19366411013484053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237778330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8946229,0.0025653543,0.0000054755997,0.0006926507,0.00019480045,0.000115064235,0.000026911948,0.000008429844,0.10176838],"genre_scores_gemma":[0.9730239,0.025633907,0.0005485766,0.00008712937,0.000060660106,0.000020841244,0.000011383426,0.000022950653,0.0005906485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983243,0.0000048245934,0.0009855728,0.00042586096,0.00003996982,0.000219502],"domain_scores_gemma":[0.99873257,0.00002456745,0.00090438564,0.00013623427,0.00010106912,0.00010115805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011985829,0.00019317976,0.00058199477,0.00036325064,0.00006164145,0.000070842274,0.00014867022,0.00014709061,0.00018914902],"category_scores_gemma":[0.000042658434,0.00023435,0.00016924573,0.00013810048,0.00011134195,0.00037710488,0.00004069151,0.00008484688,0.000019279276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003063779,0.000094511655,0.015030298,0.00008520238,0.00017264896,5.665983e-8,0.00082590565,0.00087150093,0.00057397364,0.9815076,0.00009541514,0.00071227475],"study_design_scores_gemma":[0.0035159872,0.00046614598,0.002938425,0.00006323834,0.00029808277,0.000017590944,0.0014126234,0.23633732,0.02325063,0.7106963,0.019848907,0.0011547776],"about_ca_topic_score_codex":0.000093338356,"about_ca_topic_score_gemma":0.0000174363,"teacher_disagreement_score":0.2708113,"about_ca_system_score_codex":0.00009878444,"about_ca_system_score_gemma":0.000045850204,"threshold_uncertainty_score":0.9556515},"labels":[],"label_agreement":null},{"id":"W4239284381","doi":"10.1002/9781119701675.ch2","title":"Engineering Economics","year":2021,"lang":"en","type":"other","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Coining (mint); Engineering economics; Economics; Cash flow; Microeconomics; Environmental economics; Finance","score_opus":0.02004143616683076,"score_gpt":0.17561697472895882,"score_spread":0.15557553856212805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239284381","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000042428786,0.05566058,0.00020393748,0.00008615368,0.0005064026,0.000049627677,0.00006787657,0.000082270075,0.9433007],"genre_scores_gemma":[0.00013967369,0.018070856,0.0016488227,0.00014258677,0.00034378486,0.0000076189303,0.00013629993,0.00025355085,0.9792568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925256,0.0000017664928,0.00026076386,0.00032690138,0.000007345205,0.00015067421],"domain_scores_gemma":[0.99947464,0.000008520225,0.00015744127,0.00030178702,0.0000028926831,0.0000547341],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006922494,0.00015860912,0.0004291119,0.00033928777,0.000014271606,0.000053404117,0.000119291864,0.00018413234,0.07180992],"category_scores_gemma":[0.000012882253,0.00018723129,0.0002105493,0.000098312885,0.000011417436,0.000019816169,0.000044971654,0.0001087737,0.0027347784],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.1086362e-7,0.000011484589,0.00013688616,0.000019548668,0.00016288366,0.0000021332414,0.000008449834,0.000021904589,3.092078e-7,0.70127016,0.29833466,0.000031460047],"study_design_scores_gemma":[0.000075393145,0.0000028626762,0.000034741766,0.000015099321,0.000008630526,8.255906e-7,0.0000068434733,0.0022996373,0.00000571517,0.0029895573,0.9943047,0.0002559525],"about_ca_topic_score_codex":0.00056595186,"about_ca_topic_score_gemma":0.00018840347,"teacher_disagreement_score":0.69828063,"about_ca_system_score_codex":0.000043297154,"about_ca_system_score_gemma":0.0000074063278,"threshold_uncertainty_score":0.9980417},"labels":[],"label_agreement":null},{"id":"W4240640059","doi":"10.32920/ryerson.14644158","title":"Probabilistic learning curve and real options approach to the valuation of cross-training with product life cycle","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Probabilistic logic; Learning curve; Valuation (finance); Product (mathematics); Computer science; Forgetting; Geometric Brownian motion; Product lifecycle; Econometrics; Artificial intelligence; New product development; Mathematics; Economics","score_opus":0.09894615029288507,"score_gpt":0.2748894239148541,"score_spread":0.17594327362196904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240640059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655148,0.007909605,0.004680683,0.00054917217,0.00011631629,0.0007263715,0.00003781603,0.000034932604,0.020430315],"genre_scores_gemma":[0.9902878,0.0016977038,0.0060971673,0.00003724225,0.00011305037,0.00012854041,0.00017445804,0.000020365536,0.0014436637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860907,0.00004197663,0.00050791464,0.0006138553,0.000065864704,0.00016132582],"domain_scores_gemma":[0.9989925,0.000045005854,0.0003873684,0.00039182263,0.000109818655,0.000073479896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009898564,0.00016533364,0.00044845813,0.00016497282,0.00015911655,0.00028828753,0.00015539711,0.00008269539,0.000060046154],"category_scores_gemma":[0.0003456545,0.00012650169,0.00010725489,0.0002825923,0.00011873935,0.00010866161,0.00024467031,0.000287188,0.0000092533755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013619491,0.00012701417,0.037536483,0.00018821165,0.00031642773,3.2709613e-7,0.009377896,0.5140053,0.0000040382374,0.4380475,0.00003514428,0.00034801205],"study_design_scores_gemma":[0.0005811179,0.00018716726,0.3672597,0.00012472269,0.00027271436,0.000006016409,0.0057200077,0.5636331,0.000027000893,0.060777128,0.0005077024,0.0009036385],"about_ca_topic_score_codex":0.0015942351,"about_ca_topic_score_gemma":0.00020873074,"teacher_disagreement_score":0.37727037,"about_ca_system_score_codex":0.000047590132,"about_ca_system_score_gemma":0.00008867968,"threshold_uncertainty_score":0.5158589},"labels":[],"label_agreement":null},{"id":"W4242599110","doi":"10.32920/ryerson.14665785.v1","title":"A Real Options Approach to Design for Quality Standards Considering Life Cycle of a Product","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flexibility (engineering); Chart; Product (mathematics); Control chart; Quality (philosophy); Computer science; Control (management); Risk analysis (engineering); Production (economics); System dynamics; Product lifecycle; Reliability engineering; Manufacturing engineering; Operations management; Industrial engineering; Operations research; Engineering; New product development; Business; Economics; Mathematics; Microeconomics","score_opus":0.15430322041544436,"score_gpt":0.3176371490208103,"score_spread":0.16333392860536594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242599110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27124888,0.023690943,0.6663382,0.0012547321,0.00067499746,0.0031717538,0.0035486878,0.00013176688,0.029940054],"genre_scores_gemma":[0.6878474,0.0044578076,0.30514494,0.00013696072,0.0001811767,0.0005344478,0.00025698156,0.000046140813,0.0013941587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977743,0.000040966468,0.0010703001,0.0007974911,0.0000782168,0.0002387483],"domain_scores_gemma":[0.99838746,0.00008724763,0.00048681838,0.0006883337,0.00020216953,0.00014795183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018364345,0.00021941881,0.0010144291,0.00030658024,0.000079440964,0.0001395591,0.0002153648,0.00014741498,0.00015717928],"category_scores_gemma":[0.0006336154,0.00024056631,0.00047931322,0.00023614419,0.000054966793,0.00007893355,0.0003152413,0.00016061158,0.0000070471474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005911797,0.0004206414,0.0009576642,0.0006440021,0.00081374054,4.7341612e-7,0.0019856186,0.067918904,0.00006641411,0.92429876,0.0027284499,0.00010622756],"study_design_scores_gemma":[0.0033851303,0.00045696436,0.017065376,0.00034599638,0.0007273522,0.0000049151527,0.0074447785,0.2966063,0.005515674,0.6553611,0.008611742,0.004474648],"about_ca_topic_score_codex":0.0024796103,"about_ca_topic_score_gemma":0.00010580056,"teacher_disagreement_score":0.41659853,"about_ca_system_score_codex":0.00017725391,"about_ca_system_score_gemma":0.00028794454,"threshold_uncertainty_score":0.98100096},"labels":[],"label_agreement":null},{"id":"W4244748182","doi":"10.24124/2014/bpgub1647","title":"A capital budgeting analysis of the proposed Site C Dam","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Payback period; Internal rate of return; Capital budgeting; Net present value; Profitability index; Cost of capital; Economics; Present value; Natural capital; Natural gas; Rate of return; Electricity; Capital (architecture); Capital cost; Finance; Engineering; Microeconomics; Production (economics); Macroeconomics; Waste management; Geography; Incentive; Project appraisal","score_opus":0.01184138533510482,"score_gpt":0.21134006904678498,"score_spread":0.19949868371168017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244748182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9400833,0.0035093243,0.000029184594,0.00006985109,0.00038558777,0.00018508997,0.00013362299,0.000019714667,0.055584323],"genre_scores_gemma":[0.93536305,0.0003690766,0.00009925601,0.00007591316,0.0000610408,0.000008968394,0.0011375776,0.000025361824,0.06285977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984288,0.000018146742,0.00086502265,0.0004211562,0.00007458382,0.00019226296],"domain_scores_gemma":[0.99819124,0.000037448648,0.0011258459,0.00053378247,0.00006677268,0.00004492378],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032692938,0.00021966296,0.00091397227,0.00080980547,0.0001053207,0.000060877715,0.0003295122,0.0002137223,0.0012482612],"category_scores_gemma":[0.00008143177,0.00016660085,0.0011674778,0.0013045243,0.000042334643,0.00006832489,0.000036618992,0.0001731583,0.00021797564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031234766,0.00020461518,0.17133194,0.0002198895,0.0087376665,9.902251e-7,0.0054186797,0.0005629283,0.0003599757,0.81113434,0.001719144,0.00027862427],"study_design_scores_gemma":[0.0008190399,0.0001225417,0.8743737,0.00009808263,0.008514704,4.2075786e-7,0.0027881195,0.06343248,0.00240209,0.037601065,0.008168193,0.0016795676],"about_ca_topic_score_codex":0.0025752534,"about_ca_topic_score_gemma":0.0068640653,"teacher_disagreement_score":0.7735332,"about_ca_system_score_codex":0.00005054598,"about_ca_system_score_gemma":0.000020468224,"threshold_uncertainty_score":0.9996647},"labels":[],"label_agreement":null},{"id":"W4246397299","doi":"10.24124/2006/bpgub1312","title":"An empirical study on the influence of oil reserves and other key performance measures on corporate performance of Canadian oil and gas companies","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"","keywords":"Business; Equity (law); Fossil fuel; Accounting; Earnings; Commission; Value (mathematics); Stock (firearms); Petroleum industry; Finance; Engineering","score_opus":0.0663245833381153,"score_gpt":0.2521004884951454,"score_spread":0.18577590515703007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246397299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813504,0.0014325422,2.3687779e-8,0.00009862409,0.00004561076,0.0000726176,0.00010312261,0.000007703925,0.016889315],"genre_scores_gemma":[0.98991114,0.0043495405,0.000011082632,0.00008437186,0.000022342147,0.00001809988,0.00005539244,0.00002335366,0.0055246875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986591,0.000035317917,0.00062732847,0.00037284847,0.00010647313,0.00019897694],"domain_scores_gemma":[0.998731,0.00005613109,0.00065250497,0.00037776175,0.00009070397,0.00009185449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047873796,0.00025163006,0.00057663803,0.0008572881,0.0001757668,0.00006469007,0.00023323404,0.00013170806,0.000040891675],"category_scores_gemma":[0.000026510972,0.0001875854,0.00006260958,0.0004202118,0.00014993912,0.00015520082,0.000013121813,0.00019592147,0.000011592787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015260387,0.0002338866,0.98337066,0.00017441387,0.0001526188,8.4389006e-7,0.0032318395,0.0012948549,0.000029915205,0.010275,0.00021396343,0.0008693875],"study_design_scores_gemma":[0.00027677265,0.00079671375,0.9928622,0.000109317196,0.000040392806,3.7445312e-7,0.0016064664,0.0027289453,0.0002865929,0.00030821736,0.0007172694,0.00026672333],"about_ca_topic_score_codex":0.09952252,"about_ca_topic_score_gemma":0.24787307,"teacher_disagreement_score":0.14835055,"about_ca_system_score_codex":0.00003742505,"about_ca_system_score_gemma":0.00004999267,"threshold_uncertainty_score":0.9064738},"labels":[],"label_agreement":null},{"id":"W4246486660","doi":"10.4324/9780429316746-10","title":"Capital Budgeting","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital budgeting; Business; Economics; Finance; Project appraisal","score_opus":0.03170810232245251,"score_gpt":0.1935440092634045,"score_spread":0.161835906940952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246486660","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002987761,0.06280321,0.00004822835,0.00026346455,0.00036232008,0.00006551713,0.00009532063,0.000045510904,0.93601763],"genre_scores_gemma":[0.0029189885,0.008584987,0.00039420245,0.00036823336,0.00033251767,0.0000033673916,0.0002156307,0.00005589558,0.9871262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867034,0.0000015414323,0.00058533036,0.00050916424,0.000036943085,0.00019665646],"domain_scores_gemma":[0.99917495,0.00002167246,0.00032505835,0.0003623115,0.000031354837,0.00008463179],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00013053097,0.00025115695,0.00061615073,0.00025267465,0.00007163081,0.000104914034,0.00015286439,0.0002729912,0.029987842],"category_scores_gemma":[0.000016600234,0.00027958033,0.0005162135,0.00003380816,0.000051520776,0.000079794605,0.00010557022,0.00022893268,0.00803305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.3581626e-7,0.000008670536,0.00008291485,0.000012570076,0.00019442893,0.000021841963,0.000057947145,0.0000017322208,0.0000011561003,0.992486,0.006987497,0.00014459186],"study_design_scores_gemma":[0.000101783364,0.000015230356,0.000042654694,0.000020982485,0.00003213392,0.0000036149925,0.000029703619,0.00013468107,0.000008574013,0.43179956,0.5673839,0.0004271925],"about_ca_topic_score_codex":0.00013600195,"about_ca_topic_score_gemma":0.00008255902,"teacher_disagreement_score":0.56068647,"about_ca_system_score_codex":0.0000844591,"about_ca_system_score_gemma":0.000016386204,"threshold_uncertainty_score":0.9999656},"labels":[],"label_agreement":null},{"id":"W4249202275","doi":"10.2139/ssrn.686823","title":"Comparing Discrete-Time and Continuous-Time Option Valuation Models","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Discrete time and continuous time; Valuation (finance); Econometrics; Economics; Mathematics; Actuarial science; Statistics; Finance","score_opus":0.021322392946604953,"score_gpt":0.21440302350853882,"score_spread":0.19308063056193386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249202275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9307749,0.04837402,0.01612813,0.0011132521,0.00006445216,0.00012013057,0.000007220669,0.000032883385,0.003384993],"genre_scores_gemma":[0.97569156,0.016403925,0.00032233278,0.000059511112,0.00025330271,0.0000029075727,0.000020183943,0.000017382643,0.007228877],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984423,0.000021442127,0.0004412201,0.0002175278,0.000055940774,0.0008215707],"domain_scores_gemma":[0.9994849,0.000014070475,0.00029196645,0.0001099259,0.000028078402,0.00007107841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013398841,0.00012702287,0.00031890205,0.00021123388,0.00019192434,0.00013620386,0.00011452896,0.00006316481,0.00009168686],"category_scores_gemma":[0.000015973277,0.00012967468,0.00012707905,0.00010974517,0.000035089368,0.0006625767,0.00002882952,0.00046130887,0.000550643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015142392,0.00003616895,0.0018827937,0.0000012730791,0.00015716717,2.4904068e-7,0.00018077092,0.0043814247,0.00012355381,0.9914749,0.00004801914,0.0016984951],"study_design_scores_gemma":[0.00039335867,0.000061610124,0.00056494965,0.0000044077105,0.000026667689,0.000025398165,0.00006274737,0.4115339,0.000015906726,0.5868018,0.0003830916,0.0001261206],"about_ca_topic_score_codex":0.00009276541,"about_ca_topic_score_gemma":0.00012868359,"teacher_disagreement_score":0.40715247,"about_ca_system_score_codex":0.00051066256,"about_ca_system_score_gemma":0.00006947514,"threshold_uncertainty_score":0.70775855},"labels":[],"label_agreement":null},{"id":"W4249246040","doi":"10.1142/9789814417358_0004","title":"Using Tucker's theorem of the alternative to simplify, review and expand discrete arbitrage theory","year":2013,"lang":"en","type":"book-chapter","venue":"World Scientific handbook in financial economic series","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Arbitrage; Mathematical economics; Mathematics; Computer science; Economics; Financial economics","score_opus":0.03324877738878891,"score_gpt":0.23548922905987502,"score_spread":0.20224045167108612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249246040","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033695795,0.41090634,0.00020587853,0.0014232057,0.0053913086,0.004097359,0.002992737,0.000049170856,0.5412382],"genre_scores_gemma":[0.018953795,0.0152956005,0.00049556675,0.0013788559,0.00031536588,0.000094566996,0.000048050395,0.00011343292,0.96330476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973873,0.00003071126,0.0012593822,0.00089747756,0.00006681657,0.00035830078],"domain_scores_gemma":[0.9980578,0.00007641704,0.0009456353,0.00076212175,0.000041519448,0.00011654649],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010971418,0.00042753553,0.0013036293,0.00065378053,0.00026834992,0.00021035805,0.0005639654,0.00014192644,0.002181947],"category_scores_gemma":[0.00007098557,0.00037224163,0.00036926515,0.00016348028,0.0010142713,0.00036626068,0.00038559455,0.00033131978,0.0003475302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017355276,0.000008622589,0.00016397152,0.0001593717,0.000066873516,0.0000016586579,0.00054885226,0.000055871307,0.000012033009,0.99550635,0.0032280197,0.00023099531],"study_design_scores_gemma":[0.00022405821,0.000029221526,0.00024136475,0.0015312767,0.00010620808,0.0000037126463,0.000028012511,0.00014671881,0.00026411738,0.7845544,0.21229908,0.00057178823],"about_ca_topic_score_codex":0.00023698361,"about_ca_topic_score_gemma":0.002480441,"teacher_disagreement_score":0.42206657,"about_ca_system_score_codex":0.0002656852,"about_ca_system_score_gemma":0.00013804612,"threshold_uncertainty_score":0.9998729},"labels":[],"label_agreement":null},{"id":"W4249913145","doi":"10.32920/ryerson.14644158.v1","title":"Probabilistic learning curve and real options approach to the valuation of cross-training with product life cycle","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Probabilistic logic; Learning curve; Valuation (finance); Forgetting; Product (mathematics); Computer science; Product lifecycle; Geometric Brownian motion; Econometrics; New product development; Artificial intelligence; Machine learning; Mathematics; Economics","score_opus":0.09894615029288507,"score_gpt":0.2748894239148541,"score_spread":0.17594327362196904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249913145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655148,0.007909605,0.004680683,0.00054917217,0.00011631629,0.0007263715,0.00003781603,0.000034932604,0.020430315],"genre_scores_gemma":[0.9902878,0.0016977038,0.0060971673,0.00003724225,0.00011305037,0.00012854041,0.00017445804,0.000020365536,0.0014436637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860907,0.00004197663,0.00050791464,0.0006138553,0.000065864704,0.00016132582],"domain_scores_gemma":[0.9989925,0.000045005854,0.0003873684,0.00039182263,0.000109818655,0.000073479896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009898564,0.00016533364,0.00044845813,0.00016497282,0.00015911655,0.00028828753,0.00015539711,0.00008269539,0.000060046154],"category_scores_gemma":[0.0003456545,0.00012650169,0.00010725489,0.0002825923,0.00011873935,0.00010866161,0.00024467031,0.000287188,0.0000092533755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013619491,0.00012701417,0.037536483,0.00018821165,0.00031642773,3.2709613e-7,0.009377896,0.5140053,0.0000040382374,0.4380475,0.00003514428,0.00034801205],"study_design_scores_gemma":[0.0005811179,0.00018716726,0.3672597,0.00012472269,0.00027271436,0.000006016409,0.0057200077,0.5636331,0.000027000893,0.060777128,0.0005077024,0.0009036385],"about_ca_topic_score_codex":0.0015942351,"about_ca_topic_score_gemma":0.00020873074,"teacher_disagreement_score":0.37727037,"about_ca_system_score_codex":0.000047590132,"about_ca_system_score_gemma":0.00008867968,"threshold_uncertainty_score":0.5158589},"labels":[],"label_agreement":null},{"id":"W4251147087","doi":"10.32920/ryerson.14665785","title":"A Real Options Approach to Design for Quality Standards Considering Life Cycle of a Product","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flexibility (engineering); Chart; Product (mathematics); Quality (philosophy); Control chart; Computer science; Production (economics); Risk analysis (engineering); Control (management); Product lifecycle; System dynamics; Reliability engineering; Manufacturing engineering; Operations research; Operations management; Industrial engineering; Engineering; New product development; Business; Economics; Mathematics; Microeconomics; Process (computing)","score_opus":0.15430322041544436,"score_gpt":0.3176371490208103,"score_spread":0.16333392860536594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251147087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27124888,0.023690943,0.6663382,0.0012547321,0.00067499746,0.0031717538,0.0035486878,0.00013176688,0.029940054],"genre_scores_gemma":[0.6878474,0.0044578076,0.30514494,0.00013696072,0.0001811767,0.0005344478,0.00025698156,0.000046140813,0.0013941587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977743,0.000040966468,0.0010703001,0.0007974911,0.0000782168,0.0002387483],"domain_scores_gemma":[0.99838746,0.00008724763,0.00048681838,0.0006883337,0.00020216953,0.00014795183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018364345,0.00021941881,0.0010144291,0.00030658024,0.000079440964,0.0001395591,0.0002153648,0.00014741498,0.00015717928],"category_scores_gemma":[0.0006336154,0.00024056631,0.00047931322,0.00023614419,0.000054966793,0.00007893355,0.0003152413,0.00016061158,0.0000070471474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005911797,0.0004206414,0.0009576642,0.0006440021,0.00081374054,4.7341612e-7,0.0019856186,0.067918904,0.00006641411,0.92429876,0.0027284499,0.00010622756],"study_design_scores_gemma":[0.0033851303,0.00045696436,0.017065376,0.00034599638,0.0007273522,0.0000049151527,0.0074447785,0.2966063,0.005515674,0.6553611,0.008611742,0.004474648],"about_ca_topic_score_codex":0.0024796103,"about_ca_topic_score_gemma":0.00010580056,"teacher_disagreement_score":0.41659853,"about_ca_system_score_codex":0.00017725391,"about_ca_system_score_gemma":0.00028794454,"threshold_uncertainty_score":0.98100096},"labels":[],"label_agreement":null},{"id":"W4251499511","doi":"10.4018/978-1-59904-939-7.ch236","title":"Risk and Investment in the Global Telecommunications Industry","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Globe; Equity (law); Investment (military); Equity risk; Business; Finance; Telecommunications; Economics; Actuarial science; Financial economics; Industrial organization; Private equity; Computer science","score_opus":0.034738470828044384,"score_gpt":0.2322787357821061,"score_spread":0.1975402649540617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251499511","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008580468,0.033601437,0.000004478044,0.0003199014,0.00009601656,0.00030131429,0.0009498578,0.000025942565,0.9561206],"genre_scores_gemma":[0.8886891,0.021128258,0.00093437027,0.007369932,0.00042093033,0.00013340234,0.00009988314,0.00007993061,0.081144206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985333,0.000023736531,0.0006631906,0.00044250296,0.000074582385,0.000262679],"domain_scores_gemma":[0.9985609,0.000037326812,0.0004740448,0.0008018634,0.000020105346,0.000105743675],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024067363,0.00032435337,0.0005238732,0.000110581575,0.00020595363,0.000102553444,0.0005193367,0.0006073051,0.000059378694],"category_scores_gemma":[0.000026227024,0.00029369522,0.00022631703,0.000070664144,0.0002648575,0.000054674776,0.00018785207,0.00069098786,0.0002808338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003657079,0.00002342854,0.008870763,0.000004482624,0.00011477423,0.000013244024,0.00017541081,0.000005568958,1.2205791e-8,0.9866822,0.0037852433,0.00032121548],"study_design_scores_gemma":[0.00026400224,0.00003673371,0.0071295174,0.000023120867,0.000052426254,0.000023858303,0.00004331517,0.000063721745,1.6566204e-7,0.82901734,0.16304071,0.00030506993],"about_ca_topic_score_codex":0.001875457,"about_ca_topic_score_gemma":0.0016285157,"teacher_disagreement_score":0.8801086,"about_ca_system_score_codex":0.00040006073,"about_ca_system_score_gemma":0.000054027423,"threshold_uncertainty_score":0.99995154},"labels":[],"label_agreement":null},{"id":"W4251942528","doi":"10.32920/ryerson.14652060","title":"A two level supply chain design under demand and exchange rate uncertainty: a real options evaluation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Supply chain; Hedge; Profit (economics); Stochastic programming; Exchange rate; Flexibility (engineering); Dynamic programming; Computer science; Mathematical optimization; Economics; Microeconomics; Business; Mathematics; Finance; Algorithm","score_opus":0.17149615555169223,"score_gpt":0.30146557805052004,"score_spread":0.1299694224988278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251942528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7004992,0.18273175,0.09588596,0.004860892,0.0012121687,0.0027035167,0.0008631177,0.0001554192,0.011088028],"genre_scores_gemma":[0.874471,0.10235546,0.011534397,0.000543438,0.00027280775,0.0005029844,0.0012502216,0.000056504123,0.009013204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979443,0.00016568675,0.0006503255,0.00086784695,0.000080715945,0.00029113702],"domain_scores_gemma":[0.99876285,0.000110530105,0.00038999956,0.0004836133,0.00012434274,0.00012867275],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023714614,0.00031315247,0.0006683128,0.0004730521,0.00016048753,0.00039602924,0.00016210068,0.0002547666,0.0021575207],"category_scores_gemma":[0.00007027512,0.00033217936,0.00024302684,0.0002493055,0.000081325445,0.00016292333,0.00034510248,0.0002708638,0.00008148564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040621544,0.00024706958,0.0037100415,0.00016345744,0.0012628059,0.00001231218,0.002881731,0.12915508,0.00006790745,0.85896176,0.0021215284,0.0013756589],"study_design_scores_gemma":[0.0011905817,0.000046259505,0.016911225,0.00006065717,0.00028492653,0.0000035940134,0.00079900713,0.60483056,0.000042451746,0.37500083,0.0001639052,0.00066598976],"about_ca_topic_score_codex":0.008310641,"about_ca_topic_score_gemma":0.0036798134,"teacher_disagreement_score":0.48396093,"about_ca_system_score_codex":0.00029341847,"about_ca_system_score_gemma":0.00013010994,"threshold_uncertainty_score":0.99991304},"labels":[],"label_agreement":null},{"id":"W4252046076","doi":"10.1016/j.frl.2015.01.005","title":"Editorial","year":2015,"lang":"es","type":"editorial","venue":"Finance research letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Regret; Risk aversion (psychology); Profitability index; Leverage (statistics); Capital structure; Economics; Microeconomics; Loss aversion; Debt; Expected utility hypothesis; Financial economics; Computer science; Finance","score_opus":0.06332135840432865,"score_gpt":0.3191112925290225,"score_spread":0.25578993412469386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252046076","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061569833,0.030806668,0.000017707785,0.0039742263,0.95264155,0.000659514,0.0020390153,0.000059247675,0.003645081],"genre_scores_gemma":[0.0007737167,0.054345828,0.00016099204,0.00014048476,0.93016315,0.00020286422,0.0009914356,0.00016669747,0.013054842],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99198276,0.00031834247,0.0016341707,0.002075372,0.001676446,0.002312884],"domain_scores_gemma":[0.994968,0.00096919027,0.00086683815,0.001689568,0.0010310041,0.0004753771],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007891407,0.0007928153,0.0018586926,0.0020514305,0.00070346997,0.0010994169,0.0020392332,0.0017633465,0.00044611585],"category_scores_gemma":[0.0035439942,0.0009170469,0.00081697403,0.0020835106,0.001090032,0.0006941307,0.0007770566,0.0045132735,0.016297089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001426706,0.0001913575,0.00035989992,0.00015143269,0.00029598,0.000049404694,0.00029844232,0.00006956169,0.00003743104,0.021057615,0.97713315,0.00021305155],"study_design_scores_gemma":[0.0013101534,0.00030027636,0.00013057202,0.0001905907,0.00003764106,6.9155175e-7,0.000054133783,0.00034689656,0.000015089043,0.0098347915,0.98678845,0.0009907259],"about_ca_topic_score_codex":0.0028626765,"about_ca_topic_score_gemma":0.00007465159,"teacher_disagreement_score":0.023539161,"about_ca_system_score_codex":0.0020786864,"about_ca_system_score_gemma":0.0007580315,"threshold_uncertainty_score":0.99993753},"labels":[],"label_agreement":null},{"id":"W4252114505","doi":"10.32920/ryerson.14648727","title":"Understanding the Influence of Complementary Innovations on Niche Formation in Large Energy Technology Systems : The Case of Distributed Electricity Storage in Ontario’s Electricity System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Niche; Complementarity (molecular biology); Electricity system; Smart grid; Electricity; Business; Industrial organization; Generalizability theory; Environmental economics; Environmental resource management; Economics; Engineering; Ecology; Electricity generation","score_opus":0.056198412584212445,"score_gpt":0.23256853437879516,"score_spread":0.17637012179458272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252114505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708084,0.0014687949,0.026101857,0.00027544796,0.00009638659,0.00048466102,0.00036185115,0.000018413362,0.00038421788],"genre_scores_gemma":[0.9991713,0.0002615035,0.000019585977,0.000044874272,0.0000077176555,0.000093511626,0.00036459274,0.000009798864,0.00002710542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975951,0.00010099373,0.0015923706,0.0003521866,0.0000719824,0.000287379],"domain_scores_gemma":[0.9978623,0.00016835221,0.0012622376,0.000583303,0.00010584542,0.000017959896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010688126,0.00021307288,0.00073411403,0.001266919,0.00013238763,0.000057880352,0.00038755784,0.00024229691,0.000021363145],"category_scores_gemma":[0.000071319126,0.00016411398,0.00013407035,0.0024934944,0.00006868357,0.0001323435,0.00027572745,0.0006914251,9.371827e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012762196,0.00015860757,0.032663796,0.00013149632,0.0001327267,0.00003547823,0.00066390994,0.05497352,0.000028075077,0.9111525,0.00004244441,0.000004712718],"study_design_scores_gemma":[0.002182055,0.0002740514,0.06655308,0.0007864742,0.00017187378,0.0001505166,0.035462808,0.8280712,0.0012461359,0.063866034,0.00023503369,0.0010007907],"about_ca_topic_score_codex":0.3085896,"about_ca_topic_score_gemma":0.5312429,"teacher_disagreement_score":0.84728646,"about_ca_system_score_codex":0.0028494815,"about_ca_system_score_gemma":0.0001105343,"threshold_uncertainty_score":0.7451295},"labels":[],"label_agreement":null},{"id":"W4254087138","doi":"10.32920/ryerson.14652060.v1","title":"A two level supply chain design under demand and exchange rate uncertainty: a real options evaluation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Supply chain; Hedge; Profit (economics); Exchange rate; Stochastic programming; Dynamic programming; Flexibility (engineering); Computer science; Economics; Microeconomics; Mathematical optimization; Business; Mathematics; Finance; Algorithm","score_opus":0.17149615555169223,"score_gpt":0.30146557805052004,"score_spread":0.1299694224988278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254087138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7004992,0.18273175,0.09588596,0.004860892,0.0012121687,0.0027035167,0.0008631177,0.0001554192,0.011088028],"genre_scores_gemma":[0.874471,0.10235546,0.011534397,0.000543438,0.00027280775,0.0005029844,0.0012502216,0.000056504123,0.009013204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979443,0.00016568675,0.0006503255,0.00086784695,0.000080715945,0.00029113702],"domain_scores_gemma":[0.99876285,0.000110530105,0.00038999956,0.0004836133,0.00012434274,0.00012867275],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023714614,0.00031315247,0.0006683128,0.0004730521,0.00016048753,0.00039602924,0.00016210068,0.0002547666,0.0021575207],"category_scores_gemma":[0.00007027512,0.00033217936,0.00024302684,0.0002493055,0.000081325445,0.00016292333,0.00034510248,0.0002708638,0.00008148564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040621544,0.00024706958,0.0037100415,0.00016345744,0.0012628059,0.00001231218,0.002881731,0.12915508,0.00006790745,0.85896176,0.0021215284,0.0013756589],"study_design_scores_gemma":[0.0011905817,0.000046259505,0.016911225,0.00006065717,0.00028492653,0.0000035940134,0.00079900713,0.60483056,0.000042451746,0.37500083,0.0001639052,0.00066598976],"about_ca_topic_score_codex":0.008310641,"about_ca_topic_score_gemma":0.0036798134,"teacher_disagreement_score":0.48396093,"about_ca_system_score_codex":0.00029341847,"about_ca_system_score_gemma":0.00013010994,"threshold_uncertainty_score":0.99991304},"labels":[],"label_agreement":null},{"id":"W4254336027","doi":"10.1002/9781119106470.ch12","title":"Basic Flexibility in Development Projects","year":2018,"lang":"en","type":"other","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Perspective (graphical); Risk analysis (engineering); Mainstream; Computer science; Point (geometry); Management science; Engineering; Business; Economics; Mathematics; Artificial intelligence; Management; Political science","score_opus":0.06140135233912936,"score_gpt":0.24079160910677375,"score_spread":0.1793902567676444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254336027","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017687144,0.0062105614,0.00003499915,0.0000453161,0.000248117,0.0002456223,0.000017014947,0.000077609366,0.991352],"genre_scores_gemma":[0.0019473551,0.00086267653,0.001750685,0.00011868974,0.00015106273,0.00003409212,0.000050000832,0.00013195454,0.9949535],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987786,0.0000065102595,0.00045545143,0.0005114003,0.000027835806,0.00022021792],"domain_scores_gemma":[0.9993756,0.0000064719297,0.00022268044,0.00034212673,0.000006337321,0.000046810877],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002702682,0.00019056843,0.00046167796,0.0007015082,0.000020338659,0.00003106694,0.00017115392,0.00021298576,0.033501208],"category_scores_gemma":[0.000018214465,0.00018536349,0.00009613706,0.00028006232,0.00006120529,0.00003543597,0.00006294941,0.00007738993,0.01506047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003550551,0.0001587662,0.023692293,0.00006900953,0.00012286779,0.0000035017133,0.00022654506,3.287906e-7,2.3502528e-7,0.1810982,0.79423547,0.00038927273],"study_design_scores_gemma":[0.00018959797,0.000013938789,0.0023961489,0.000030673702,0.000003725183,1.8416969e-7,0.000021633252,0.00010229968,0.000020462254,0.0053925556,0.99152416,0.00030459775],"about_ca_topic_score_codex":0.0016382149,"about_ca_topic_score_gemma":0.005421199,"teacher_disagreement_score":0.19728874,"about_ca_system_score_codex":0.00013958433,"about_ca_system_score_gemma":0.000037896803,"threshold_uncertainty_score":0.98570645},"labels":[],"label_agreement":null},{"id":"W4254920560","doi":"10.32920/ryerson.14645874","title":"The valuation of a natural gas-fired power plant with multiple turbines using clean spark spread and weather options","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Electricity; Valuation (finance); Natural gas prices; Power station; Revenue; Valuation of options; Environmental science; SPARK (programming language); Call option; Business; Environmental economics; Economics; Finance; Engineering; Computer science; Electrical engineering","score_opus":0.04618637777375283,"score_gpt":0.2278599129693761,"score_spread":0.18167353519562326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254920560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747047,0.022852257,0.00046916545,0.00031881573,0.00029057224,0.00024686873,0.000112263915,0.000015508158,0.0009898649],"genre_scores_gemma":[0.99180645,0.0043252264,0.00269915,0.000038605038,0.00004518873,0.000013432279,0.00012791531,0.000019351599,0.0009246864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895936,0.000021120924,0.00044348533,0.00036945177,0.000054322652,0.0001522284],"domain_scores_gemma":[0.99905056,0.000077991725,0.00041398703,0.00035225603,0.00006646982,0.00003871474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000281593,0.00018190719,0.0004018762,0.00014638643,0.00013990128,0.00017806022,0.000126541,0.000109553635,0.00008526149],"category_scores_gemma":[0.000046157373,0.00012619222,0.000160339,0.00013305954,0.0001042947,0.00009711723,0.00017565135,0.00018123862,0.0000051918864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004242885,0.0007144449,0.33924448,0.00033048957,0.005298314,0.000023098655,0.00991032,0.01884356,0.0009777845,0.6212865,0.001190377,0.0017563289],"study_design_scores_gemma":[0.0015181309,0.000120951365,0.09345843,0.0002890382,0.000387998,0.00002178837,0.004267233,0.85603565,0.0009905047,0.040233556,0.0016331217,0.0010435898],"about_ca_topic_score_codex":0.002982282,"about_ca_topic_score_gemma":0.0026264193,"teacher_disagreement_score":0.8371921,"about_ca_system_score_codex":0.00005106396,"about_ca_system_score_gemma":0.000029898365,"threshold_uncertainty_score":0.51459694},"labels":[],"label_agreement":null},{"id":"W4281675086","doi":"10.32920/19874191.v1","title":"Real options valuation with duopoly game-theoretic approach and regime switching","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Duopoly; Valuation (finance); Perfect information; Economics; Microeconomics; Volatility (finance); Game theory; Competitor analysis; Complete information; Computer science; Cournot competition; Econometrics","score_opus":0.03951372520506293,"score_gpt":0.23638771836492592,"score_spread":0.19687399315986298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281675086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7058823,0.032291505,0.041627895,0.0018146597,0.00049855065,0.0012658513,0.00022429843,0.00026693204,0.216128],"genre_scores_gemma":[0.94691426,0.02601599,0.011956291,0.00016621804,0.00014966363,0.00025548373,0.0005758337,0.00006345576,0.013902817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847543,0.000034598197,0.00048092855,0.000730797,0.00007433027,0.000203926],"domain_scores_gemma":[0.9989184,0.000032665106,0.00043700144,0.00050613313,0.000023173108,0.00008261604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006579741,0.00023799599,0.00050048693,0.00043737487,0.0001864789,0.00021058522,0.00020481984,0.00013881979,0.0007376709],"category_scores_gemma":[0.000016668935,0.00022725081,0.00015593226,0.0002124993,0.000081807666,0.000119923796,0.0003913616,0.00044034875,0.00004203392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011472057,0.000067975605,0.002540967,0.000048731457,0.0001810625,0.0000014111736,0.00094363303,0.0035087345,0.0000022088925,0.9924946,0.00011703675,0.000082206214],"study_design_scores_gemma":[0.00036626973,0.00007805075,0.0054897713,0.000014378422,0.00014574887,0.0000061875517,0.0007562255,0.15367642,0.000005194547,0.8380022,0.0009549332,0.0005046396],"about_ca_topic_score_codex":0.0020862652,"about_ca_topic_score_gemma":0.00004699812,"teacher_disagreement_score":0.24103194,"about_ca_system_score_codex":0.00015658193,"about_ca_system_score_gemma":0.00003651321,"threshold_uncertainty_score":0.9267019},"labels":[],"label_agreement":null},{"id":"W4281708998","doi":"10.3390/jrfm15060246","title":"A New Look at the Swing Contract: From Linear Programming to Particle Swarm Optimization","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Swing; Particle swarm optimization; Computer science; Process (computing); Swarm intelligence; Futures contract; Operations research; Artificial intelligence; Risk analysis (engineering); Economics; Machine learning; Business; Financial economics; Engineering","score_opus":0.01247823103077795,"score_gpt":0.20069698475505415,"score_spread":0.1882187537242762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281708998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83032954,0.02089169,0.1455032,0.0018478264,0.0006617809,0.0003655871,0.000061707404,0.000012586924,0.0003260748],"genre_scores_gemma":[0.98026216,0.0048905234,0.0125382,0.0005861633,0.00038641918,0.000016801208,0.00000745375,0.00001552754,0.0012967576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908566,0.000019961091,0.00048896915,0.00015983007,0.00008519205,0.00016036804],"domain_scores_gemma":[0.99929804,0.00003622691,0.0004296864,0.00012472196,0.000018047549,0.000093289316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005519137,0.00008828157,0.00023360763,0.00012625825,0.00038144103,0.00007241212,0.00015080904,0.000019333516,0.00031664784],"category_scores_gemma":[0.000044174736,0.000074743555,0.0001330758,0.00028189915,0.000015889142,0.000117371,0.00020191185,0.00014711576,0.000024311583],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067661214,0.00045759213,0.12133949,0.000022298751,0.00045142966,0.00015045334,0.011522404,0.40606242,0.000014727095,0.16094756,0.010663612,0.28769138],"study_design_scores_gemma":[0.002831784,0.0005814993,0.05132041,0.000029164119,0.00037914302,0.000011877017,0.001819246,0.03492566,0.00009232518,0.027255302,0.88028,0.00047355582],"about_ca_topic_score_codex":0.000495098,"about_ca_topic_score_gemma":0.0000779326,"teacher_disagreement_score":0.86961645,"about_ca_system_score_codex":0.000106135616,"about_ca_system_score_gemma":0.000010478016,"threshold_uncertainty_score":0.3467072},"labels":[],"label_agreement":null},{"id":"W4281890448","doi":"10.32920/19874191","title":"Real options valuation with duopoly game-theoretic approach and regime switching","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Duopoly; Valuation (finance); Perfect information; Economics; Microeconomics; Volatility (finance); Game theory; Competitor analysis; Complete information; Computer science; Cournot competition; Econometrics","score_opus":0.03951372520506293,"score_gpt":0.23638771836492592,"score_spread":0.19687399315986298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281890448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7058823,0.032291505,0.041627895,0.0018146597,0.00049855065,0.0012658513,0.00022429843,0.00026693204,0.216128],"genre_scores_gemma":[0.94691426,0.02601599,0.011956291,0.00016621804,0.00014966363,0.00025548373,0.0005758337,0.00006345576,0.013902817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847543,0.000034598197,0.00048092855,0.000730797,0.00007433027,0.000203926],"domain_scores_gemma":[0.9989184,0.000032665106,0.00043700144,0.00050613313,0.000023173108,0.00008261604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006579741,0.00023799599,0.00050048693,0.00043737487,0.0001864789,0.00021058522,0.00020481984,0.00013881979,0.0007376709],"category_scores_gemma":[0.000016668935,0.00022725081,0.00015593226,0.0002124993,0.000081807666,0.000119923796,0.0003913616,0.00044034875,0.00004203392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011472057,0.000067975605,0.002540967,0.000048731457,0.0001810625,0.0000014111736,0.00094363303,0.0035087345,0.0000022088925,0.9924946,0.00011703675,0.000082206214],"study_design_scores_gemma":[0.00036626973,0.00007805075,0.0054897713,0.000014378422,0.00014574887,0.0000061875517,0.0007562255,0.15367642,0.000005194547,0.8380022,0.0009549332,0.0005046396],"about_ca_topic_score_codex":0.0020862652,"about_ca_topic_score_gemma":0.00004699812,"teacher_disagreement_score":0.24103194,"about_ca_system_score_codex":0.00015658193,"about_ca_system_score_gemma":0.00003651321,"threshold_uncertainty_score":0.9267019},"labels":[],"label_agreement":null},{"id":"W4283310726","doi":"10.1111/joms.12849","title":"Temporal Dynamics in Acquisition Behavior: The Effects of Activity Load on Strategic Momentum","year":2022,"lang":"en","type":"article","venue":"Journal of Management Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Momentum (technical analysis); Argument (complex analysis); Mechanism (biology); Replicate; Dynamics (music); Econometrics; Psychology; Economics; Physics; Mathematics; Statistics; Financial economics; Biology","score_opus":0.032930418636394,"score_gpt":0.25551010552362985,"score_spread":0.22257968688723584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283310726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98786974,0.008675974,0.000010522526,0.00077180663,0.00045381262,0.00018745854,0.000011915202,0.0000025646236,0.002016225],"genre_scores_gemma":[0.9934401,0.005776387,0.000019732399,0.00006929269,0.000025904063,0.00002775381,0.0000017263135,0.0000056749705,0.000633423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991728,0.00003857867,0.0004379028,0.0001104194,0.00012854028,0.00011176982],"domain_scores_gemma":[0.999081,0.000056914167,0.0006955628,0.00012653919,0.000024949792,0.000015026477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069065165,0.00009066542,0.0003372434,0.00032537107,0.00012411887,0.000016010377,0.00016902598,0.000012649057,0.000038825834],"category_scores_gemma":[0.000010026434,0.00007130278,0.00016676508,0.0002768335,0.000043793203,0.0000971018,0.00014812857,0.00015694478,0.0000042634147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033059926,0.0026058417,0.12793632,0.0004106807,0.0025298528,0.00027091295,0.002052184,0.0030056157,0.000023406572,0.85507095,0.0040641217,0.0016995076],"study_design_scores_gemma":[0.0083046695,0.0061548855,0.5573506,0.0002800036,0.0011480317,0.000015178414,0.053892724,0.008712498,0.00023149006,0.3587875,0.0041586133,0.0009638009],"about_ca_topic_score_codex":0.00005574352,"about_ca_topic_score_gemma":0.000049991737,"teacher_disagreement_score":0.49628344,"about_ca_system_score_codex":0.00067253096,"about_ca_system_score_gemma":0.0000055548016,"threshold_uncertainty_score":0.29076427},"labels":[],"label_agreement":null},{"id":"W4283374524","doi":"10.2174/2666294901666220428145618","title":"A Review of the Applicability of Classical and Extension of Fuzzy LogicApproaches to Project Decision-Making using Real Options","year":2022,"lang":"en","type":"review","venue":"Journal of Fuzzy Logic and Modeling in Engineering","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Fuzzy logic; Flexibility (engineering); Fuzzy set; Value (mathematics); Computer science; Type-2 fuzzy sets and systems; Mathematics; Extension (predicate logic); Fuzzy number; Artificial intelligence; Management science; Machine learning; Engineering; Statistics","score_opus":0.19992937769636812,"score_gpt":0.3311946385928968,"score_spread":0.13126526089652865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283374524","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005300043,0.98822224,0.005942517,0.000012770314,0.000070658294,0.00034334898,0.000024977171,0.0000021865835,0.00008123421],"genre_scores_gemma":[0.0118212495,0.97356105,0.0145493,0.000010964948,0.000032076256,0.0000093471435,0.0000013672753,0.000013356984,0.0000012879386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977356,0.000038972685,0.0017684994,0.00023587394,0.00009258019,0.00012846517],"domain_scores_gemma":[0.9983727,0.0002055808,0.0010948909,0.00023296248,0.000052868556,0.000041036725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015741147,0.00018507605,0.0017954233,0.00047214975,0.000036206948,0.000009325388,0.0002085806,0.000111374284,0.0000043301625],"category_scores_gemma":[0.00039158118,0.0001280166,0.00048109997,0.0005501205,0.000042032036,0.000065215754,0.00020368343,0.00035032735,6.640729e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062731,0.00055646047,0.00030372827,0.11091894,0.00063551695,0.00001080763,0.0007182739,0.4814274,0.000026041174,0.094265945,0.00003532893,0.31103882],"study_design_scores_gemma":[0.000640836,0.0005065009,0.00014778481,0.16085683,0.0017602143,0.00026095187,0.0004406109,0.76760954,0.0000011730716,0.04570643,0.021038068,0.0010310591],"about_ca_topic_score_codex":0.000027755661,"about_ca_topic_score_gemma":0.0000013512976,"teacher_disagreement_score":0.31000775,"about_ca_system_score_codex":0.00010166259,"about_ca_system_score_gemma":0.00005780544,"threshold_uncertainty_score":0.52203655},"labels":[],"label_agreement":null},{"id":"W4283516539","doi":"10.3390/jrfm15070281","title":"Valuing Collaborative Synergies with Real Options Application: From Dynamic Political Capabilities Perspective","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dynamic capabilities; Politics; Valuation (finance); Context (archaeology); Conceptual framework; Business; Knowledge management; Process management; Marketing; Computer science; Political science; Accounting; Sociology","score_opus":0.005744814002973733,"score_gpt":0.20494731844419395,"score_spread":0.19920250444122023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283516539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94894314,0.030335328,0.011749293,0.0011822893,0.00029572131,0.00031707823,0.0009151929,0.00001919406,0.006242739],"genre_scores_gemma":[0.98642075,0.0108205285,0.0022987428,0.00006425239,0.00010356799,0.000035646946,0.000009992908,0.000010072971,0.00023643562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99906707,0.00003499685,0.00041674884,0.00021541427,0.000094661176,0.00017108762],"domain_scores_gemma":[0.99923784,0.00005847734,0.0004160892,0.00013248938,0.000084897096,0.00007019941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003142851,0.000112538386,0.00032652493,0.00029774732,0.0003661648,0.000058864796,0.00013021303,0.00002478032,0.00007492793],"category_scores_gemma":[0.000026198337,0.00010570046,0.000101473655,0.00035702187,0.00011440009,0.00016145548,0.000096654694,0.00019744397,0.0000056110903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007979122,0.00010112074,0.007560757,0.0000057887696,0.000115414645,0.00001631003,0.0027189169,0.0008174902,0.0000012982389,0.9878638,0.00012116448,0.0005981912],"study_design_scores_gemma":[0.0010762806,0.00047770498,0.122270085,0.000014138455,0.0002370025,0.000009971722,0.059476342,0.0019025026,0.0000037472842,0.79168665,0.022556148,0.00028942773],"about_ca_topic_score_codex":0.0011158369,"about_ca_topic_score_gemma":0.00022291149,"teacher_disagreement_score":0.19617711,"about_ca_system_score_codex":0.00035402633,"about_ca_system_score_gemma":0.000028599425,"threshold_uncertainty_score":0.43103397},"labels":[],"label_agreement":null},{"id":"W4285094169","doi":"10.3390/jrfm15070305","title":"A Discourse on Foresight and the Valuation of Explicit and Tacit Synergies in Strategic Collaborations","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures studies; Knowledge management; Valuation (finance); Tacit knowledge; Competence-based management; Competence (human resources); Business; Strategic management; Conceptual framework; Empirical research; Resource-based view; Management science; Competitive advantage; Marketing; Computer science; Management; Economics; Strategic planning; Sociology; Accounting; Strategic financial management","score_opus":0.02704823980254843,"score_gpt":0.22103722510384036,"score_spread":0.19398898530129194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285094169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854528,0.012666148,0.00043972736,0.00046026296,0.0000830114,0.00015544187,0.000040708877,0.000001082,0.0007008581],"genre_scores_gemma":[0.97767824,0.021994984,0.00011366551,0.0000484132,0.000027447812,0.000015326536,0.0000017316901,0.0000034879756,0.00011669005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931806,0.000036941638,0.00041180968,0.000100282756,0.00006205143,0.00007085799],"domain_scores_gemma":[0.99940646,0.000054340035,0.00043117598,0.0000695139,0.000017701956,0.000020805535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080015237,0.00006523728,0.00024569404,0.0003233213,0.00015789067,0.000041247506,0.00006106666,0.000015635404,0.00001533693],"category_scores_gemma":[0.000027773072,0.000049638806,0.000047605376,0.00026973183,0.000070380134,0.00010697561,0.000057539324,0.00010509713,4.0050998e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013913197,0.00006484561,0.008671343,0.000012050905,0.000028973356,0.0000049984387,0.0016669874,0.0010597325,0.0000010360826,0.9864857,0.000085406304,0.0017797846],"study_design_scores_gemma":[0.0037361593,0.00045318026,0.16249213,0.00002815235,0.00014280138,0.0000045027805,0.01022182,0.0058752457,0.0000062655217,0.8125114,0.004374835,0.00015353876],"about_ca_topic_score_codex":0.00011403136,"about_ca_topic_score_gemma":0.00011791162,"teacher_disagreement_score":0.17397434,"about_ca_system_score_codex":0.000026412394,"about_ca_system_score_gemma":0.000009127334,"threshold_uncertainty_score":0.20242117},"labels":[],"label_agreement":null},{"id":"W4293238244","doi":"10.1007/s10696-022-09450-1","title":"A real options approach to value manufacturing flexibilities with regime-switching product demand","year":2022,"lang":"en","type":"article","venue":"Flexible Services and Manufacturing Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flexibility (engineering); Computer science; Demand patterns; Product (mathematics); New product development; Economics; Industrial organization; Microeconomics; Demand management; Mathematics","score_opus":0.020859800154073127,"score_gpt":0.21344020617894843,"score_spread":0.1925804060248753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293238244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823934,0.010096057,0.0006514021,0.00075411337,0.0002813681,0.0003022934,0.00004116887,0.00008743338,0.005392806],"genre_scores_gemma":[0.9852762,0.0034336583,0.006441847,0.00046705987,0.00042876144,0.000062082574,0.000027703785,0.00005525209,0.0038074076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980966,0.00004532908,0.0005691875,0.00062487193,0.00016092886,0.00050308526],"domain_scores_gemma":[0.9989391,0.000024606505,0.00038586045,0.00036312971,0.00001655314,0.0002707472],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008042991,0.000289289,0.00047417678,0.0005988465,0.0015021756,0.00051560445,0.00037242656,0.000040838127,0.00019453288],"category_scores_gemma":[0.0000027091153,0.0002620238,0.00014830283,0.00016405404,0.000032989083,0.0005424588,0.00032543464,0.000518782,0.00002226562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080759125,0.000926851,0.01044547,0.0012013842,0.0015345332,0.000104648265,0.03233711,0.50302863,0.00025379908,0.4451765,0.0012832081,0.0029002775],"study_design_scores_gemma":[0.008360266,0.0029546646,0.13614853,0.0005209191,0.00082750584,0.004576704,0.053414755,0.05283243,0.026427673,0.49897724,0.20837492,0.0065843975],"about_ca_topic_score_codex":0.0012018756,"about_ca_topic_score_gemma":0.000046638852,"teacher_disagreement_score":0.4501962,"about_ca_system_score_codex":0.00017988562,"about_ca_system_score_gemma":0.000025442503,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W4293797029","doi":"10.1111/roiw.12614","title":"Measurement of diverse, irreversible capital","year":2022,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Depreciation (economics); Fixed capital; Capital (architecture); Cost of capital; Accounting; Microeconomics; Financial economics; Capital formation; Financial capital","score_opus":0.034447574782415315,"score_gpt":0.23695438701872418,"score_spread":0.20250681223630887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293797029","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15318939,0.843358,0.000010735736,0.00037189535,0.00010526074,0.00016891812,0.00011364232,0.0000043179043,0.0026778518],"genre_scores_gemma":[0.65158266,0.34802422,0.000063524276,0.0001795456,0.000009567181,0.0000072850266,0.000006746817,0.0000037406305,0.00012274321],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991566,0.000022130782,0.0005007197,0.00014089598,0.000083115454,0.000096558564],"domain_scores_gemma":[0.9993251,0.0000085921865,0.00043014868,0.00016013587,0.000031153355,0.000044889213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009378405,0.00006592693,0.00046147767,0.00012974675,0.00007663645,0.0000028498443,0.00010951785,0.0000118828275,0.00068447087],"category_scores_gemma":[0.000022753688,0.0000655974,0.0001438933,0.00024490786,0.000034695167,0.000054838758,0.000115081035,0.000061903644,0.000017099419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016200513,0.00035256142,0.17896831,0.015263491,0.00034741114,0.0000031329857,0.00062440673,0.000013868379,0.000041707,0.79490685,0.0056266543,0.0038353817],"study_design_scores_gemma":[0.004907546,0.0031904252,0.3431037,0.009586774,0.00079692615,0.000035629324,0.0035082952,0.000987292,0.00054642715,0.11390309,0.5173347,0.0020992053],"about_ca_topic_score_codex":0.0005299385,"about_ca_topic_score_gemma":0.0000119588985,"teacher_disagreement_score":0.6810038,"about_ca_system_score_codex":0.00007012243,"about_ca_system_score_gemma":0.000024345138,"threshold_uncertainty_score":0.7494476},"labels":[],"label_agreement":null},{"id":"W4306315035","doi":"10.1016/j.jcomm.2022.100292","title":"Equilibrium and real options in the ethanol industry: Modeling and empirical evidence","year":2022,"lang":"en","type":"article","venue":"Journal of commodity markets","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mandate; Gasoline; Economics; Valuation (finance); Government (linguistics); Ethanol; Ethanol fuel; Agricultural economics; Chemistry; Finance; Engineering; Waste management","score_opus":0.143515098508165,"score_gpt":0.3039741513291695,"score_spread":0.1604590528210045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306315035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97542584,0.016206319,0.00003606962,0.00751062,0.00009222436,0.00005522247,0.000017500286,0.0000022951976,0.0006539115],"genre_scores_gemma":[0.9931785,0.0062717427,0.00010314348,0.00030718622,0.000067212335,0.000004071552,0.0000012211052,0.000004771017,0.00006213481],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908733,0.0001409955,0.00045889826,0.000114649,0.000079886195,0.000118260396],"domain_scores_gemma":[0.99931365,0.00021984369,0.000260897,0.00013083132,0.000019378456,0.00005538858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024038414,0.00007067865,0.0002475887,0.00022958433,0.00010274449,0.0000791121,0.00020558437,0.000057347588,0.00011411856],"category_scores_gemma":[0.00011217111,0.000059818733,0.00007406143,0.00019961967,0.00004846777,0.0002888399,0.00015848485,0.0006480752,0.0000013420319],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005076146,0.00073012355,0.8632687,0.00006780057,0.00027570047,0.00015581018,0.00923678,0.012609775,0.00009171568,0.09473088,0.016855966,0.0014691524],"study_design_scores_gemma":[0.0011640093,0.00040286346,0.3622454,0.000060568625,0.00007711094,0.00034311326,0.002211348,0.4693729,0.000004420852,0.15761043,0.006151515,0.00035628772],"about_ca_topic_score_codex":0.00012132812,"about_ca_topic_score_gemma":0.000022128812,"teacher_disagreement_score":0.50102323,"about_ca_system_score_codex":0.00006323604,"about_ca_system_score_gemma":0.00002483475,"threshold_uncertainty_score":0.28156003},"labels":[],"label_agreement":null},{"id":"W4311309244","doi":"10.1590/1413-2311.366.112334","title":"REAL OPTIONS THEORY AND CLASSIFICATION OF PATIENTS BY DIAGNOSIS RELATED GROUPS: HOW THESE DIFFERENT FIELDS COULD RELATE?","year":2022,"lang":"en","type":"article","venue":"REAd Revista Eletrônica de Administração (Porto Alegre)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"","keywords":"Management science; Knowledge management; Computer science; Focus (optics); Risk analysis (engineering); Data science; Medicine; Engineering","score_opus":0.024034623667890977,"score_gpt":0.2378914923112118,"score_spread":0.21385686864332082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311309244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808448,0.014965099,0.00008528069,0.0010724713,0.00009931503,0.0003675869,0.0009295862,0.00004578301,0.001590077],"genre_scores_gemma":[0.9686045,0.0262708,0.000061981475,0.000084216415,0.00002151293,0.0001695454,0.0007744003,0.000037680737,0.003975377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978471,0.000147169,0.0009539279,0.0005849325,0.00014094285,0.00032595487],"domain_scores_gemma":[0.9979449,0.00027635306,0.0009512932,0.0006002457,0.000044624652,0.0001825724],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008925313,0.00026133747,0.00062774436,0.00022908614,0.00024042804,0.00009503648,0.00031669336,0.00019123383,0.0009146545],"category_scores_gemma":[0.00020315421,0.00026459355,0.0002551406,0.00038257198,0.00017850407,0.00015779768,0.0001408345,0.00043952322,0.0000179706],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007541635,0.0007364903,0.19500527,0.00007203731,0.00024144627,0.000010516914,0.00063943496,0.0000029890987,0.000076743134,0.7982293,0.004391238,0.0005191513],"study_design_scores_gemma":[0.00294476,0.001989699,0.8054956,0.00012138576,0.00064185733,0.000030335634,0.0016696192,0.0014880528,0.0001719116,0.08381506,0.10005627,0.0015754055],"about_ca_topic_score_codex":0.000070830574,"about_ca_topic_score_gemma":0.000016334336,"teacher_disagreement_score":0.71441424,"about_ca_system_score_codex":0.00021336947,"about_ca_system_score_gemma":0.00003659224,"threshold_uncertainty_score":0.9999986},"labels":[],"label_agreement":null},{"id":"W4311890089","doi":"10.54691/bcpbm.v32i.2992","title":"Research on the Valuation of Chooser Options: Case of AAPL","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Volatility (finance); Valuation of options; Actuarial science; Business; Financial economics; Economics; Accounting","score_opus":0.18485389522938522,"score_gpt":0.3189721068128921,"score_spread":0.1341182115835069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311890089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852659,0.0036574125,0.00008564254,0.0023112297,0.00018589289,0.00048949715,0.000061925835,0.000009296449,0.00793319],"genre_scores_gemma":[0.9950469,0.0011571844,0.00012979376,0.000066077104,0.00002404248,0.00015731224,0.000021593878,0.000009244908,0.0033878156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99911475,0.000059400598,0.00037115588,0.00020021123,0.00012513109,0.000129337],"domain_scores_gemma":[0.99922717,0.000059297075,0.00021004121,0.000400867,0.00008777136,0.0000148288],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001835081,0.000064404136,0.00016387567,0.00055420777,0.00023992018,0.000016360354,0.0002093333,0.000014827999,0.0012845361],"category_scores_gemma":[0.000026873024,0.0000563945,0.00007921616,0.001341465,0.00006863502,0.00006368016,0.00023164018,0.00009055124,0.00008259144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016878972,0.00026295957,0.00016225498,0.000047367153,0.00011718298,0.000021052527,0.00021318212,0.009282528,0.000005127036,0.980939,0.00247936,0.0064531392],"study_design_scores_gemma":[0.001175934,0.00006732592,0.34901848,0.000043075284,0.00012618747,0.000012820864,0.008958754,0.01648956,0.00014490291,0.5705661,0.05302811,0.00036872388],"about_ca_topic_score_codex":0.000753574,"about_ca_topic_score_gemma":0.000021503794,"teacher_disagreement_score":0.41037285,"about_ca_system_score_codex":0.00008882194,"about_ca_system_score_gemma":0.0000073833335,"threshold_uncertainty_score":0.9996284},"labels":[],"label_agreement":null},{"id":"W4313260076","doi":"10.3390/jrfm16010011","title":"Measuring Collaborative Synergies with Advanced Real Options: MNEs’ Sequential Acquisitions of International Ventures","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); International business; Proposition; Value proposition; Business; Value creation; Industrial organization; Economics; Marketing; Finance; Management","score_opus":0.012681267723561013,"score_gpt":0.20727888044094878,"score_spread":0.19459761271738776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313260076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96444327,0.028118744,0.0032188634,0.00023240862,0.0007805415,0.00018470867,0.00031624013,0.000008658982,0.0026965414],"genre_scores_gemma":[0.94950026,0.04766794,0.0025241324,0.000027763592,0.00009550756,0.000016221791,0.0000108328995,0.000007447896,0.00014987947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99914324,0.000024302919,0.00048154578,0.00013307903,0.00011924766,0.00009856649],"domain_scores_gemma":[0.9990215,0.000018936442,0.00075038313,0.00008684757,0.00008706081,0.000035322184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003608592,0.00008826909,0.00027020034,0.0004439902,0.00021511072,0.00003462168,0.00015055604,0.00001856713,0.000110870606],"category_scores_gemma":[0.000020772577,0.000084037834,0.00010913475,0.0003284108,0.000057934085,0.00020888034,0.00010727438,0.00012454976,0.0000016849367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004920084,0.00030535486,0.018703584,0.000029715562,0.0004251487,0.00006548303,0.0022460741,0.019922784,0.0000367725,0.95196927,0.0006045746,0.0051992466],"study_design_scores_gemma":[0.009248293,0.0028396258,0.4634277,0.0002301856,0.0008965038,0.000085277105,0.021001056,0.0016265399,0.000342907,0.24302806,0.25615653,0.001117341],"about_ca_topic_score_codex":0.00006895094,"about_ca_topic_score_gemma":0.000027136399,"teacher_disagreement_score":0.7089412,"about_ca_system_score_codex":0.00009198838,"about_ca_system_score_gemma":0.000019399813,"threshold_uncertainty_score":0.34269634},"labels":[],"label_agreement":null},{"id":"W4318473246","doi":"10.1111/jpim.12658","title":"Premature R&amp;D alliance termination and shareholder returns: Evidence from the biopharmaceutical industry","year":2023,"lang":"en","type":"article","venue":"Journal of Product Innovation Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; Saint Mary's University","funders":"","keywords":"Alliance; Shareholder; Business; Stock (firearms); Transaction cost; Event study; Monetary economics; Abnormal return; Volatility (finance); Shareholder value; Financial economics; Economics; Accounting; Finance; Stock exchange; Corporate governance","score_opus":0.15892048181616497,"score_gpt":0.3248399409165988,"score_spread":0.16591945910043382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318473246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95613426,0.011801845,0.00009854799,0.031068759,0.0004293047,0.00023447922,0.000026017557,0.000017888533,0.0001889117],"genre_scores_gemma":[0.98328066,0.010801952,0.0012220261,0.0010669939,0.0005989138,0.000011240352,0.000039844075,0.0000092125265,0.0029691674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99887735,0.000020007497,0.000665091,0.00020812817,0.00011063103,0.000118801945],"domain_scores_gemma":[0.99895304,0.00005581575,0.000651649,0.00018354227,0.00013119215,0.00002474867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013286857,0.000094112496,0.00017395997,0.00023986773,0.00008660191,0.00013577015,0.00020489492,0.000063771,0.00015786209],"category_scores_gemma":[0.00023952384,0.00006539287,0.00004693535,0.0015281664,0.00003648332,0.0004769407,0.000089468675,0.0003293619,0.0000708812],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018890237,0.00033239007,0.19015338,0.0004440046,0.0018023599,0.000087665474,0.0041239937,0.0007031573,0.0050357664,0.38322282,0.35981157,0.054093994],"study_design_scores_gemma":[0.0005066096,0.000047441536,0.76695454,0.0003432198,0.000105606334,0.000009300086,0.00044282977,0.0014796107,0.00074729905,0.060621306,0.16846998,0.00027226217],"about_ca_topic_score_codex":0.000008594392,"about_ca_topic_score_gemma":0.0000034031,"teacher_disagreement_score":0.5768012,"about_ca_system_score_codex":0.00005354474,"about_ca_system_score_gemma":0.000006440949,"threshold_uncertainty_score":0.2666644},"labels":[],"label_agreement":null},{"id":"W4319010148","doi":"10.3905/jod.2023.1.176","title":"The Leland Model as a Consistent Framework for Analytic Valuation of Equity and Options on Equity","year":2023,"lang":"en","type":"article","venue":"The Journal of Derivatives","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Equity (law); Equity capital markets; Valuation (finance); Economics; Equity risk; Financial economics; Valuation of options; Equity value; Exotic option; Debt; Business; Finance; External debt; Political science","score_opus":0.21827122412786637,"score_gpt":0.3682320807728989,"score_spread":0.1499608566450325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319010148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96597946,0.0058318446,0.02050957,0.0065208287,0.000098041164,0.00017397472,0.00003885805,0.0000050128924,0.0008424258],"genre_scores_gemma":[0.991144,0.007747511,0.00066969584,0.000104603954,0.000039670602,0.00000370369,0.0000016625149,0.0000055700625,0.00028359855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927664,0.00003065825,0.0004389122,0.0000689192,0.000073212774,0.00011164411],"domain_scores_gemma":[0.99839795,0.000739304,0.0006180083,0.00013375249,0.000077478115,0.00003348951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019493073,0.000065174565,0.00022501248,0.000132588,0.00022608177,0.000048382797,0.00016926893,0.000033123837,0.000008773301],"category_scores_gemma":[0.0006162564,0.0000384382,0.00013739539,0.00022909924,0.00015032053,0.00009163309,0.00010687255,0.00010197,0.0000071800573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081274404,0.000032486296,0.0006656947,0.000010583012,0.00023793093,1.6666287e-7,0.0015593681,0.008486718,0.00009715449,0.98803025,0.00025405188,0.0005443047],"study_design_scores_gemma":[0.00021893767,0.00018897868,0.008713645,0.000023689474,0.00006440787,0.0000015111015,0.0007385425,0.09244946,0.00015195728,0.8973127,0.00009033601,0.000045868393],"about_ca_topic_score_codex":0.000012983201,"about_ca_topic_score_gemma":0.000008426218,"teacher_disagreement_score":0.0907176,"about_ca_system_score_codex":0.000031893003,"about_ca_system_score_gemma":0.000026486721,"threshold_uncertainty_score":0.1738861},"labels":[],"label_agreement":null},{"id":"W4320917287","doi":"10.3390/jrfm16020123","title":"Predicting Explicit and Valuing Tacit Synergies of High-Tech Based Transactions: Amazon.com’s Acquisition of Dubai-Based Souq.com","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Construct (python library); Empirical research; Knowledge management; Amazon rainforest; Tacit knowledge; Resource (disambiguation); Business; Computer science; Epistemology","score_opus":0.012105784884299165,"score_gpt":0.19695587405610318,"score_spread":0.184850089171804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320917287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91086113,0.003745787,0.08458279,0.000245692,0.00021710055,0.00013618682,0.000106035426,0.00001540403,0.00008985783],"genre_scores_gemma":[0.9893072,0.009156737,0.0013264556,0.000037058628,0.000057884477,0.0000074075106,0.000007099704,0.000012971062,0.00008714195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986158,0.000023871453,0.00088996365,0.00019032281,0.00011001819,0.00017005073],"domain_scores_gemma":[0.99871457,0.000097957374,0.000929038,0.00013900896,0.000062179395,0.000057255136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078534876,0.00013896344,0.0005224938,0.0009186726,0.00013433678,0.00003915773,0.000110585,0.00007460514,0.00003777648],"category_scores_gemma":[0.00004195863,0.0001388832,0.0002125276,0.00053080963,0.00006495431,0.00021445344,0.000025809826,0.00013529712,0.0000029476532],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001276676,0.0013832866,0.37407362,0.002480452,0.0012595226,0.00015937687,0.004563136,0.08568087,0.000720613,0.39162242,0.0012722895,0.13550773],"study_design_scores_gemma":[0.008840626,0.0016295828,0.7124748,0.0011289413,0.0013235165,0.0000089028,0.0030578484,0.14848611,0.0041241893,0.11268206,0.005260816,0.0009825681],"about_ca_topic_score_codex":0.0002780274,"about_ca_topic_score_gemma":0.000024341118,"teacher_disagreement_score":0.33840123,"about_ca_system_score_codex":0.00003627426,"about_ca_system_score_gemma":0.000013131631,"threshold_uncertainty_score":0.56634927},"labels":[],"label_agreement":null},{"id":"W4323783961","doi":"10.2139/ssrn.4383339","title":"Variation in Put-Call Parity Deviation and Equity Option Returns","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Variation (astronomy); Equity (law); Financial economics; Parity (physics); Economics; Econometrics; Business; Political science; Physics; Law","score_opus":0.027889720763812863,"score_gpt":0.25152597740134836,"score_spread":0.2236362566375355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323783961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815313,0.013283808,0.0029081374,0.001398876,0.00015866052,0.000086490254,0.0000061563387,0.000027649425,0.00059889606],"genre_scores_gemma":[0.93378437,0.06522443,0.00004127736,0.000042503547,0.00011414732,0.000004066253,0.000018188106,0.000008279623,0.00076271547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861676,0.000024227202,0.0003824176,0.0001885937,0.000046410296,0.0007415777],"domain_scores_gemma":[0.9996062,0.000021331594,0.00022704147,0.000083690735,0.000018519497,0.000043234446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024841337,0.000081159604,0.00017998034,0.0003757392,0.000110502275,0.00008953424,0.00008544541,0.00008219767,0.000021613763],"category_scores_gemma":[0.000081851445,0.00008706429,0.00006849171,0.00044953878,0.000015770975,0.00033193312,0.00004225964,0.0005395582,0.00013202376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008722897,0.000023934688,0.02735647,0.000004012013,0.00004464514,9.652308e-7,0.00028734512,0.00010850627,0.00004623152,0.97022456,0.000030457271,0.0018641789],"study_design_scores_gemma":[0.00028533454,0.000046535184,0.20308954,0.0000038694134,0.00000860885,0.000008169496,0.00011266213,0.012887918,0.0000028662078,0.7832219,0.00024581392,0.000086764565],"about_ca_topic_score_codex":0.0002876343,"about_ca_topic_score_gemma":0.002413413,"teacher_disagreement_score":0.18700261,"about_ca_system_score_codex":0.00067323726,"about_ca_system_score_gemma":0.00009605326,"threshold_uncertainty_score":0.35503787},"labels":[],"label_agreement":null},{"id":"W4324062662","doi":"10.3390/jrfm16030191","title":"Capital Budgeting Practices: A Survey of Two Industries","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Capital budgeting; Business; Marketing; Payback period; Value (mathematics); Capital (architecture); Portuguese; Accounting; Industrial organization; Finance; Economics; Production (economics)","score_opus":0.0469609025380734,"score_gpt":0.25902312192493304,"score_spread":0.21206221938685965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324062662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98797756,0.009919822,0.00063673075,0.00009428628,0.00035115035,0.00008094972,0.00008517343,0.000008192623,0.0008461174],"genre_scores_gemma":[0.96407944,0.035004865,0.00037935172,0.000027434386,0.000115363655,0.0000019491854,0.00000829247,0.000009628236,0.00037365363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876,0.000037947175,0.0007929417,0.0001547968,0.00007970076,0.00017461304],"domain_scores_gemma":[0.99748963,0.00013474491,0.0021064868,0.00012113401,0.00008631375,0.00006168301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020930527,0.00010746862,0.0004264603,0.0005896612,0.00009682344,0.000054897744,0.00014979018,0.00005413396,0.000030795658],"category_scores_gemma":[0.0006816042,0.000101752776,0.00011469523,0.0008264815,0.00006487986,0.00025933146,0.000102049824,0.00018851133,0.00003885373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010240303,0.00014130383,0.757517,0.00007158331,0.00021025054,0.00006722174,0.001594341,0.00024279738,0.0000056260833,0.20560788,0.0032948158,0.031144803],"study_design_scores_gemma":[0.0010653757,0.00017165038,0.93588483,0.00004282508,0.00010139736,0.0000047129533,0.0008269945,0.00040759888,0.000023961144,0.03760066,0.023682732,0.00018727593],"about_ca_topic_score_codex":0.0015782664,"about_ca_topic_score_gemma":0.00025028482,"teacher_disagreement_score":0.17836784,"about_ca_system_score_codex":0.000026284528,"about_ca_system_score_gemma":0.00001816502,"threshold_uncertainty_score":0.41493577},"labels":[],"label_agreement":null},{"id":"W4353084216","doi":"10.1007/s10479-023-05273-x","title":"Evaluating the optimal timing and capacity of investments in flexible combined heat and power generation for energy-intensive industries","year":2023,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hellenic Academic Libraries Link; Egg Farmers of Canada","keywords":"Flexibility (engineering); Electricity; Computer science; Grid; Investment (military); Electric power system; Environmental economics; Electricity generation; Operations research; Economics; Risk analysis (engineering); Operations management; Business; Industrial organization; Power (physics); Engineering","score_opus":0.6164744142417679,"score_gpt":0.462111851786936,"score_spread":0.15436256245483188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353084216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945211,0.0019523724,0.00005610765,0.003025425,0.000021801015,0.0002266348,0.000066766894,0.0000035477924,0.00012625993],"genre_scores_gemma":[0.99699634,0.0016859854,0.00032200848,0.00012142457,0.00001671413,0.00007400245,0.00004871382,0.000006283983,0.00072851544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991834,0.00006620096,0.0003412128,0.00017615341,0.00007251458,0.00016052139],"domain_scores_gemma":[0.9992242,0.00017832735,0.000035950703,0.00012995956,0.00039961716,0.000031976026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020857854,0.0000563941,0.00018367553,0.00044310917,0.00022100337,0.00006715401,0.00006890402,0.00004982348,0.000020034884],"category_scores_gemma":[0.0008716047,0.000048521648,0.000030162482,0.0005788985,0.00019964042,0.00018620926,0.00007272713,0.00008270968,0.000002427417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085975575,0.000100653415,0.0102595575,0.000031689513,0.00016092925,5.6575544e-7,0.0057965205,0.023444567,0.009759778,0.945554,0.0041712318,0.00063449435],"study_design_scores_gemma":[0.0005781085,0.0005742101,0.012468898,0.000026039308,0.0000061025085,5.067643e-7,0.0020722651,0.9482253,0.024017956,0.011690811,0.00023448977,0.00010530396],"about_ca_topic_score_codex":0.0016399275,"about_ca_topic_score_gemma":0.00020091934,"teacher_disagreement_score":0.9338632,"about_ca_system_score_codex":0.000012080031,"about_ca_system_score_gemma":0.00003348149,"threshold_uncertainty_score":0.24790907},"labels":[],"label_agreement":null},{"id":"W4361003395","doi":"10.28924/2291-8639-21-2023-29","title":"Analytic Solution of Black-Scholes-Merton European Power Put Option Model on Dividend Yield with Modified-Log-Power Payoff Function","year":2023,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Higher Education and Training; Tshwane University of Technology","keywords":"Stochastic game; Mathematics; Black–Scholes model; Laplace transform; Valuation (finance); Applied mathematics; Geometric Brownian motion; Mathematical economics; Mathematical optimization; Mathematical analysis; Econometrics; Economics; Diffusion process; Finance; Economy","score_opus":0.031264559285353564,"score_gpt":0.24186948669085892,"score_spread":0.21060492740550535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361003395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6758855,0.000632135,0.3157448,0.00155711,0.00008804164,0.000121190234,0.00012654685,0.000020873593,0.0058238218],"genre_scores_gemma":[0.99768746,0.0011815797,0.00021487784,0.00009941334,0.00008494627,0.000006499279,0.00006504913,0.000012629695,0.0006475216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868256,0.000018245908,0.00073885376,0.0002498457,0.00019069508,0.00011980986],"domain_scores_gemma":[0.99851906,0.00005235029,0.0008803155,0.0002005714,0.00026793234,0.00007975537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005819907,0.00012593626,0.00034358102,0.0014232703,0.00008451678,0.00009408198,0.00023455406,0.00004702276,0.00008552628],"category_scores_gemma":[0.000029550256,0.000108166,0.00034377645,0.0009650524,0.000085418156,0.00027502846,0.00004272707,0.00013947733,0.00006931471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024077536,0.0006038968,0.021278169,0.000013834229,0.0076370337,0.00001198008,0.00062153855,0.4483384,0.0014426812,0.5154908,0.0014874638,0.0028334693],"study_design_scores_gemma":[0.0013782164,0.0005872091,0.29096702,0.00009509908,0.0021062715,0.000014271893,0.0005447062,0.632375,0.00046236737,0.067559905,0.0033158965,0.00059403834],"about_ca_topic_score_codex":0.000054432723,"about_ca_topic_score_gemma":0.000024691264,"teacher_disagreement_score":0.44793084,"about_ca_system_score_codex":0.00006231731,"about_ca_system_score_gemma":0.00001488555,"threshold_uncertainty_score":0.44108814},"labels":[],"label_agreement":null},{"id":"W4377239071","doi":"10.1108/ecam-11-2022-1036","title":"A real options-based investment-income valuation model for old community renewal projects in China","year":2023,"lang":"en","type":"article","venue":"Engineering Construction & Architectural Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Valuation (finance); Net present value; Capital budgeting; Government (linguistics); Economics; Business; Finance; Microeconomics; Debt","score_opus":0.03811778677951144,"score_gpt":0.23549258536055323,"score_spread":0.1973747985810418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377239071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96884376,0.00014639016,0.02855284,0.00033861908,0.00031832105,0.00080012874,0.000054827997,0.00027189267,0.0006732047],"genre_scores_gemma":[0.96568036,0.00019799342,0.03276378,0.00004619731,0.000046003526,0.00039278358,0.00020818475,0.000027779104,0.0006369308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888885,0.000024894016,0.00045788786,0.00027428332,0.00006451827,0.00028958326],"domain_scores_gemma":[0.9994661,0.000044360608,0.00013023701,0.0002900783,0.000013125297,0.000056087465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057831546,0.00017666537,0.00025168897,0.0011665357,0.00015975186,0.000059004306,0.00015620602,0.000051218667,0.000010581902],"category_scores_gemma":[0.0000367892,0.00020102311,0.00014147408,0.000747301,0.000040483148,0.00011369079,0.000072357936,0.00017813356,0.000028278224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013353927,0.000021583837,0.0015977487,0.000101860656,0.00005453929,9.329144e-7,0.00045177186,0.60760224,0.00003495018,0.3895845,0.000017212207,0.0005192535],"study_design_scores_gemma":[0.0007453011,0.00003818559,0.03015015,0.000034362605,0.000018348454,0.0000012131231,0.00008271422,0.8741526,0.00003544437,0.09448709,0.000052453142,0.00020212776],"about_ca_topic_score_codex":0.0004557771,"about_ca_topic_score_gemma":0.00009713266,"teacher_disagreement_score":0.29509744,"about_ca_system_score_codex":0.00022744367,"about_ca_system_score_gemma":0.0000100381185,"threshold_uncertainty_score":0.8197484},"labels":[],"label_agreement":null},{"id":"W4379351699","doi":"10.2139/ssrn.4467930","title":"Monitoring and Pay for Long-Run Performance","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Business; Computer science","score_opus":0.021521223312228385,"score_gpt":0.22874444701453797,"score_spread":0.20722322370230958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379351699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634958,0.03461411,0.0005777165,0.000657511,0.00032343267,0.00007993429,0.0000053407316,0.00003081021,0.00021537227],"genre_scores_gemma":[0.8356484,0.15658899,0.000042331092,0.000014088501,0.0003556677,0.000009715303,0.0000035529897,0.000015627758,0.0073215924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846274,0.0000041803683,0.000271952,0.00017168032,0.00002930722,0.0010601294],"domain_scores_gemma":[0.9996682,0.000025260797,0.00014210996,0.00008931721,0.000018898902,0.00005625507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010203739,0.0000929844,0.0001878638,0.00023774666,0.00024460442,0.000076413686,0.00011201264,0.000046627898,0.0000135447035],"category_scores_gemma":[0.000025838865,0.00007989055,0.00011125187,0.00023724703,0.000019561141,0.00021512296,0.000024765071,0.00040496024,0.00014130842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020882637,0.000021314703,0.38696107,0.000019274985,0.00025022528,0.0000013806732,0.0002099944,0.0000811186,0.00002247118,0.5998321,0.00016143714,0.01241871],"study_design_scores_gemma":[0.00092277507,0.0003235984,0.10553074,0.00002106159,0.000036729234,0.000053016764,0.00064453215,0.007653928,0.0001911392,0.8786649,0.005632015,0.00032556875],"about_ca_topic_score_codex":0.000023323058,"about_ca_topic_score_gemma":0.000033611246,"teacher_disagreement_score":0.28143033,"about_ca_system_score_codex":0.00021081412,"about_ca_system_score_gemma":0.000075653166,"threshold_uncertainty_score":0.3257842},"labels":[],"label_agreement":null},{"id":"W4380538311","doi":"10.5539/ijef.v15n7p35","title":"What Contribute to the Growth of EV Automakers’ Valuation? The Case of Tesla and Nio","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Volatility (finance); Non-blocking I/O; Economics; Business; Econometrics; Monetary economics; Financial economics; Industrial organization; Agricultural economics; Finance; Chemistry","score_opus":0.029123692129711554,"score_gpt":0.25122117428006074,"score_spread":0.2220974821503492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380538311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97910756,0.00773009,0.000070856186,0.01208484,0.0007040579,0.00007806274,0.00013041768,0.0000013957105,0.000092741466],"genre_scores_gemma":[0.94684273,0.05242825,0.000094036885,0.00027926636,0.000112503265,0.000003075903,0.0000031677785,0.0000056571444,0.00023133826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909276,0.000011625515,0.0006666087,0.000115934454,0.000027634378,0.000085467946],"domain_scores_gemma":[0.9987283,0.00017619459,0.0007837153,0.000108209395,0.000177197,0.000026434496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094692496,0.000073694006,0.00025798028,0.00020867928,0.000057990943,0.000098750665,0.00023328257,0.000032170745,0.000010406546],"category_scores_gemma":[0.000121279925,0.00005310175,0.00011311377,0.00013249337,0.00009536262,0.0003060956,0.00006581055,0.000074708725,0.000009160504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043330507,0.000033567678,0.0065839305,0.0000061047467,0.00034207062,0.000028974462,0.0015471602,0.003327185,0.000008988534,0.9838048,0.0015651889,0.00270866],"study_design_scores_gemma":[0.002217865,0.0003962923,0.110597305,0.00013620856,0.000105336185,0.00069293106,0.0021497558,0.15868832,0.00066831923,0.6848249,0.03917052,0.0003522733],"about_ca_topic_score_codex":0.00013918974,"about_ca_topic_score_gemma":0.000112731555,"teacher_disagreement_score":0.29897997,"about_ca_system_score_codex":0.000028907212,"about_ca_system_score_gemma":0.000022946533,"threshold_uncertainty_score":0.21654265},"labels":[],"label_agreement":null},{"id":"W4384698851","doi":"10.21511/imfi.20(3).2023.05","title":"Valuating the capital structure under incomplete information","year":2023,"lang":"en","type":"article","venue":"Investment Management and Financial Innovations","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Cape Breton University","funders":"","keywords":"Cash flow; Leverage (statistics); Valuation (finance); Volatility (finance); Econometrics; Terminal value; Enterprise value; Capital structure; Economics; Discounted cash flow; Business; Operating cash flow; Financial economics; Microeconomics; Finance; Mathematics; Statistics","score_opus":0.03283248938380223,"score_gpt":0.22189503992719303,"score_spread":0.1890625505433908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384698851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96264774,0.0011704987,0.002428635,0.0069010626,0.00074760395,0.00087854324,0.0003103388,0.00019959763,0.024716003],"genre_scores_gemma":[0.98891425,0.00050148135,0.0007160384,0.0066666924,0.00013557084,0.00010186283,0.00064460526,0.00001372885,0.0023057854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988979,0.000010713994,0.00055421825,0.00020839098,0.00008442147,0.00024432287],"domain_scores_gemma":[0.99941576,0.000024857683,0.0002435182,0.00023909609,0.000042390944,0.000034408735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036740495,0.00014879176,0.00017681939,0.00057992764,0.0005171422,0.00020733326,0.00016779105,0.00005875071,0.0001345173],"category_scores_gemma":[0.00003964397,0.00012843001,0.000060447197,0.0017103103,0.000104108265,0.0005462613,0.00017382659,0.000120502234,0.00042872652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017981255,0.00001084599,0.0023325933,0.000015922713,0.000056431214,8.2262187e-7,0.00085140293,0.00024238722,0.000005446122,0.9861551,0.009704181,0.0006230766],"study_design_scores_gemma":[0.00035025246,0.000025594822,0.14252384,0.000008305638,0.000025658059,7.2056685e-7,0.00068130007,0.005836575,0.000008339746,0.75300634,0.09732629,0.00020676748],"about_ca_topic_score_codex":0.00012816572,"about_ca_topic_score_gemma":0.000046016467,"teacher_disagreement_score":0.23314874,"about_ca_system_score_codex":0.00005419414,"about_ca_system_score_gemma":0.000010079685,"threshold_uncertainty_score":0.5510555},"labels":[],"label_agreement":null},{"id":"W4385226699","doi":"10.3390/jrfm16070344","title":"Exploring Implied Certainty Equivalent Rates in Financial Markets: Empirical Analysis and Application to the Electric Vehicle Industry","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Certainty; Maturity (psychological); Economics; Investment (military); Financial economics; Actuarial science; Financial market; Econometrics; Monetary economics; Finance; Mathematics","score_opus":0.04472515751049754,"score_gpt":0.2600189027527879,"score_spread":0.21529374524229034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385226699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927626,0.0022506032,0.0035167707,0.001018374,0.000116965006,0.00019185498,0.000016066077,0.000008958591,0.00011777965],"genre_scores_gemma":[0.9791131,0.020282649,0.00010875025,0.00020481634,0.00015763688,0.00004111184,0.0000034385964,0.000008515855,0.00007997466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986626,0.000034085355,0.000680803,0.0002670416,0.00008707712,0.0002683933],"domain_scores_gemma":[0.9992831,0.00007752001,0.00034709804,0.00016576555,0.000027930644,0.00009860608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013075552,0.0001356813,0.00042204896,0.0013793512,0.0001681114,0.000081422295,0.00016850416,0.00008288748,0.0000115928415],"category_scores_gemma":[0.00011977452,0.000111760455,0.00015802584,0.0028911135,0.000027041644,0.00018006565,0.00013797818,0.00032754874,0.000023585182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024114939,0.00015020843,0.80726844,0.00004086235,0.00027217614,0.0000437982,0.0021166613,0.0027462025,0.000017806982,0.05098012,0.0017782889,0.13434426],"study_design_scores_gemma":[0.00043749137,0.000068178364,0.96438754,0.000010584805,0.00016276429,0.0000011179259,0.00029963235,0.005399158,0.000014903877,0.016257564,0.012818865,0.00014218158],"about_ca_topic_score_codex":0.0001772616,"about_ca_topic_score_gemma":0.00018214372,"teacher_disagreement_score":0.1571191,"about_ca_system_score_codex":0.00008764593,"about_ca_system_score_gemma":0.0000121660905,"threshold_uncertainty_score":0.4557459},"labels":[],"label_agreement":null},{"id":"W4385274488","doi":"10.1111/roiw.12650","title":"Accounting for Non‐Marketed capital","year":2023,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Capital (architecture); Economics; Fixed capital; Cost of capital; Physical capital; Investment (military); Capital budgeting; Return of capital; Capital intensity; Fixed investment; Financial capital; Microeconomics; Production (economics); Monetary economics; Business; Return on investment; Capital formation; Investment performance; Market economy; Human capital; Incentive","score_opus":0.023913529512659192,"score_gpt":0.26729098626528763,"score_spread":0.24337745675262845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385274488","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4812855,0.5132767,0.00009651942,0.0014597188,0.00020908799,0.00061799085,0.00019260937,0.000039058013,0.002822776],"genre_scores_gemma":[0.28892443,0.70948446,0.0003032708,0.00047885117,0.000072664305,0.000035379944,0.00006298426,0.000013050248,0.00062488986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990943,0.0000061756587,0.0005297848,0.0001794644,0.00002431,0.00016596526],"domain_scores_gemma":[0.99939674,0.00006593199,0.00031441174,0.0001465305,0.000027440286,0.00004893218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090018654,0.000082063554,0.00048406754,0.00017095983,0.00006700685,0.000013907925,0.000084868436,0.000033303862,0.00007380408],"category_scores_gemma":[0.00009693135,0.0000757428,0.00015966989,0.00037784816,0.00002715177,0.000094170806,0.000039645165,0.000041236584,0.00011872971],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020376847,0.00010820479,0.19982605,0.053428408,0.000397211,0.0000033352644,0.0006595181,0.0000038312546,0.00004242007,0.7025497,0.021986188,0.020974783],"study_design_scores_gemma":[0.002729567,0.0006161215,0.53534645,0.013035963,0.00028702582,0.0000091945185,0.00044317605,0.024956232,0.0001198166,0.16737226,0.25359532,0.0014888695],"about_ca_topic_score_codex":0.00010204615,"about_ca_topic_score_gemma":0.000008624355,"teacher_disagreement_score":0.5351774,"about_ca_system_score_codex":0.000017413324,"about_ca_system_score_gemma":0.000012724175,"threshold_uncertainty_score":0.30887017},"labels":[],"label_agreement":null},{"id":"W4385607399","doi":"10.5539/ijef.v15n9p53","title":"Real Options in the Brazilian Power Generation Sector: Are Domestic Equity Research Analysts Blind-Sighted or Is It Just a Temporary Glitch?","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agence Nationale de la Recherche","keywords":"Equity (law); Representativeness heuristic; Economics; Cash flow; Discounted cash flow; Actuarial science; Business; Financial economics; Finance; Statistics; Mathematics; Political science","score_opus":0.2545650112079591,"score_gpt":0.3940437708971753,"score_spread":0.1394787596892162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385607399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849224,0.0025255901,0.000012903114,0.010361904,0.0004735248,0.000107373606,0.00017002037,0.0000036030935,0.0014226809],"genre_scores_gemma":[0.9203416,0.077719465,0.00011475026,0.00039714918,0.00035170873,0.000010346543,0.000033680215,0.000011412502,0.0010198765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984523,0.000043638414,0.00091209094,0.00027531906,0.00009626436,0.00022035597],"domain_scores_gemma":[0.9987897,0.00014520949,0.0006360685,0.00019780196,0.0001823573,0.00004886481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001984749,0.00012265767,0.00032738515,0.0009848287,0.00013898453,0.00030072208,0.00051780435,0.000093040755,0.00016138951],"category_scores_gemma":[0.000118195734,0.00010025357,0.0001593428,0.00053388363,0.00010111271,0.0004696377,0.00012217832,0.00029164462,0.000094715564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003333739,0.0003575997,0.03178279,0.000013401487,0.00048766966,0.0003114324,0.004520392,0.00720751,0.000041646883,0.9122767,0.04187802,0.0007894764],"study_design_scores_gemma":[0.005258299,0.00066596834,0.28346536,0.00017308936,0.000064878746,0.00027230757,0.0045055775,0.25531304,0.00008426351,0.2880902,0.1611799,0.00092713407],"about_ca_topic_score_codex":0.00031754732,"about_ca_topic_score_gemma":0.0008528021,"teacher_disagreement_score":0.6241865,"about_ca_system_score_codex":0.00019677654,"about_ca_system_score_gemma":0.00008817589,"threshold_uncertainty_score":0.4088222},"labels":[],"label_agreement":null},{"id":"W4386242074","doi":"10.18280/mmep.100444","title":"Diversified Mean-Value at Risk Models with Transaction Costs for International Portfolio Optimization Using Uncertainty Theory","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transaction cost; Portfolio optimization; Portfolio; Actuarial science; Value (mathematics); Value at risk; Modern portfolio theory; Econometrics; Business; Economics; Financial economics; Microeconomics; Risk management; Mathematics; Statistics; Finance","score_opus":0.042802331983226895,"score_gpt":0.20596920182249792,"score_spread":0.16316686983927103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386242074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07243663,0.0003200632,0.926554,0.000033650518,0.000083952254,0.00018578436,0.000052252002,0.00009254405,0.00024111492],"genre_scores_gemma":[0.91868114,0.0017259468,0.07870736,0.000010931464,0.000054151817,0.000049768292,0.00008505181,0.000044391792,0.0006412383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992449,0.0000049112655,0.00028581475,0.0002382017,0.00004941476,0.00017674926],"domain_scores_gemma":[0.9996314,0.00007906319,0.00010260226,0.00009617975,0.00003236304,0.00005836528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044990148,0.00012394476,0.00021780127,0.00019748161,0.00011841282,0.000056200224,0.00006387377,0.00006534679,0.00002725707],"category_scores_gemma":[0.000016368129,0.00011468934,0.000076250835,0.00015601603,0.000021467937,0.00018053486,0.000017575565,0.00006840207,0.000008893905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017863373,0.000014183975,0.000016725884,0.000056400753,0.0000901636,2.9427633e-7,0.00046635474,0.7492866,0.0000038621397,0.25001407,0.000005637762,0.000027848857],"study_design_scores_gemma":[0.00028862554,0.000019518706,0.0000016096938,0.000046820653,0.000044083445,0.0000015239939,0.000047246172,0.84727776,0.000010280445,0.15209244,0.000033436114,0.00013664065],"about_ca_topic_score_codex":0.000053680946,"about_ca_topic_score_gemma":0.0000011620726,"teacher_disagreement_score":0.8478466,"about_ca_system_score_codex":0.0000998746,"about_ca_system_score_gemma":0.0000032315334,"threshold_uncertainty_score":0.46768957},"labels":[],"label_agreement":null},{"id":"W4386375655","doi":"10.14455/10.14455/isec.2023.10(1).enr-01","title":"A STUDY ON THE ECONOMIC ANALYSIS FRAMEWORK OF THE ARCTIC ENERGY PLANT CONSTRUCTION PROJECT","year":2023,"lang":"en","type":"article","venue":"Proceedings of International Structural Engineering and Construction","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Profitability index; Cost estimate; Computer science; Context (archaeology); Operations research; Environmental economics; Econometrics; Economics; Engineering; Systems engineering; Finance","score_opus":0.013254766854062452,"score_gpt":0.20587583731682554,"score_spread":0.19262107046276308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386375655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987015,0.00009818552,0.000036091686,0.00021998088,0.0005032789,0.00010250868,0.00007110719,0.000024108527,0.00024320695],"genre_scores_gemma":[0.99942034,0.00017727604,0.00025105695,0.000009048282,0.0000753639,0.00001662871,0.00000715458,0.0000069036005,0.000036194022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992453,0.0000025983227,0.00038048797,0.00020301758,0.00007383666,0.00009475967],"domain_scores_gemma":[0.99946,0.00005547853,0.00034236975,0.00007492963,0.00005035723,0.000016887536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014506787,0.00010941585,0.00022722142,0.000451356,0.0000750476,0.000048365197,0.00017212119,0.000046590725,0.000030331748],"category_scores_gemma":[0.000080848826,0.00007649606,0.00014956316,0.0005653111,0.00009715463,0.00010818673,0.00005491458,0.000103975755,0.0000017847802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000128074635,0.0000048694,0.13856065,0.000009853151,0.00071532285,9.616119e-8,0.00036643044,0.0017906214,0.00008579304,0.8582588,0.000015124455,0.00017967031],"study_design_scores_gemma":[0.00058704935,0.0001802717,0.6037633,0.00010061141,0.0004026537,0.00004621623,0.0070166816,0.2679279,0.0031712214,0.11599722,0.00037883513,0.0004280595],"about_ca_topic_score_codex":0.00047538814,"about_ca_topic_score_gemma":0.000007405633,"teacher_disagreement_score":0.7422615,"about_ca_system_score_codex":0.000072238094,"about_ca_system_score_gemma":0.0000072844487,"threshold_uncertainty_score":0.31194186},"labels":[],"label_agreement":null},{"id":"W4386578605","doi":"10.1111/1911-3846.12904","title":"The relative importance of information events: An ex ante perspective","year":2023,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ex-ante; Endogeneity; Event study; Outcome (game theory); Stock (firearms); Event (particle physics); Perspective (graphical); Economics; Econometrics; Measure (data warehouse); Actuarial science; Financial economics; Microeconomics; Computer science; Engineering; Data mining; Geography","score_opus":0.09646418241143728,"score_gpt":0.33750807395623245,"score_spread":0.24104389154479516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386578605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91827,0.0122951465,0.00007021187,0.0034914655,0.00020466492,0.00048331378,0.00011488163,0.00007868803,0.064991616],"genre_scores_gemma":[0.99558467,0.0013936022,0.00003628491,0.000044817305,0.00007386685,0.00002447298,0.00007077225,0.00001236941,0.0027591395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985558,0.000087358785,0.00063318893,0.00023649445,0.00016995141,0.00031721086],"domain_scores_gemma":[0.99834627,0.00040983068,0.00039886005,0.0004063829,0.00038516638,0.000053482476],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0058075762,0.000095364645,0.0002281142,0.00059674913,0.00047747878,0.00013742062,0.0004081403,0.00007041835,0.0000529931],"category_scores_gemma":[0.0013880938,0.00007984377,0.00011772956,0.00157622,0.00021019834,0.0025053206,0.0001549521,0.00030558062,0.00078699674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005098212,0.000027017642,0.17812742,0.000014953674,0.00008274465,0.0000017910957,0.0030584706,0.0000074540417,0.000016438666,0.8136104,0.0048623104,0.00014006707],"study_design_scores_gemma":[0.0005562547,0.0001521506,0.17531368,0.000044371718,0.0000039125775,7.8715743e-7,0.017259866,0.0122404825,0.00008181565,0.7631031,0.031003239,0.00024032744],"about_ca_topic_score_codex":0.00086945534,"about_ca_topic_score_gemma":0.00005607118,"teacher_disagreement_score":0.07731467,"about_ca_system_score_codex":0.00011754298,"about_ca_system_score_gemma":0.00007774358,"threshold_uncertainty_score":0.999991},"labels":[],"label_agreement":null},{"id":"W4386617998","doi":"10.3390/jrfm16090404","title":"Measuring Value in Development with Advanced Real Options for International Sequential Acquisitions","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"International business; Value (mathematics); Volatility (finance); Order (exchange); Value capture; Strategic management; Business; Corporate finance; Value creation; Computer science; Industrial organization; Finance; Economics; Marketing; Management","score_opus":0.029669060032224442,"score_gpt":0.22643876967875795,"score_spread":0.1967697096465335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386617998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713359,0.002498878,0.023140097,0.0003058036,0.0008126185,0.00028459326,0.00007188999,0.0000183781,0.0015318258],"genre_scores_gemma":[0.949982,0.03240318,0.016812883,0.00004223983,0.0002218667,0.000040706247,0.000025121812,0.000014288791,0.00045772572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991219,0.000007290304,0.0005064768,0.00014827272,0.00006487606,0.00015115131],"domain_scores_gemma":[0.99949497,0.000023146556,0.0003160882,0.00006430387,0.000056732977,0.0000447849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055039313,0.00008560848,0.00021696428,0.0006886229,0.00012100726,0.000046815203,0.000108972774,0.000030811167,0.000014192204],"category_scores_gemma":[0.00003681409,0.00008131002,0.000085662454,0.00031603247,0.000023555498,0.00019558612,0.000047934016,0.000081042075,0.00001361188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025303173,0.00018493376,0.036458444,0.000048742277,0.00021280059,0.00005853909,0.0017364841,0.014907621,0.000012052334,0.9217403,0.000583604,0.023803456],"study_design_scores_gemma":[0.0052523543,0.00030916397,0.7071068,0.00020846444,0.0001278916,0.000011305951,0.0011955111,0.0052638664,0.00007717585,0.13819233,0.14174785,0.0005072698],"about_ca_topic_score_codex":0.000037831836,"about_ca_topic_score_gemma":0.00008101542,"teacher_disagreement_score":0.783548,"about_ca_system_score_codex":0.00010546595,"about_ca_system_score_gemma":0.000017214616,"threshold_uncertainty_score":0.33157265},"labels":[],"label_agreement":null},{"id":"W4386625527","doi":"10.2139/ssrn.4569234","title":"Endogenous Uncertainty","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics","score_opus":0.05511323724692427,"score_gpt":0.23591130960612283,"score_spread":0.18079807235919856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386625527","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27154738,0.6922604,0.005373639,0.0062132487,0.0069258055,0.0008001726,0.0005343233,0.00046630757,0.015878752],"genre_scores_gemma":[0.683943,0.2940813,0.00006173194,0.0001233799,0.001028835,0.0000247591,0.00011585226,0.00008852555,0.020532625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959035,0.000030896317,0.000907852,0.00057920546,0.00009032075,0.0024882364],"domain_scores_gemma":[0.99845505,0.00003744553,0.00084821257,0.00047699842,0.000053014213,0.00012928355],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023033011,0.00033612337,0.00073516293,0.00062153616,0.0002537264,0.0002301843,0.0006924692,0.0003205705,0.00020207207],"category_scores_gemma":[0.00008632648,0.0003512423,0.00079281145,0.00027399705,0.000061436825,0.00009638961,0.00033267733,0.0040508355,0.0023342092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011087454,0.000054349646,0.0016597011,0.000016367512,0.0010452681,0.00001633537,0.00021743348,0.002498988,0.00000442479,0.9934207,0.0006075685,0.0004477679],"study_design_scores_gemma":[0.0002870505,0.0000857026,0.00019406693,0.000019266228,0.00006806406,0.00008812304,0.00041906646,0.0019525598,0.000004769093,0.9920325,0.0044445167,0.00040430363],"about_ca_topic_score_codex":0.0021120536,"about_ca_topic_score_gemma":0.0019661705,"teacher_disagreement_score":0.4123956,"about_ca_system_score_codex":0.0021407346,"about_ca_system_score_gemma":0.0009510225,"threshold_uncertainty_score":0.99989396},"labels":[],"label_agreement":null},{"id":"W4386700810","doi":"10.1016/j.insmatheco.2023.08.009","title":"Two-phase selection of representative contracts for valuation of large variable annuity portfolios","year":2023,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Valuation (finance); Annuity; Computer science; Metamodeling; Actuarial science; Econometrics; Selection (genetic algorithm); Variable (mathematics); Economics; Mathematics; Machine learning; Finance; Pension","score_opus":0.055607844655579344,"score_gpt":0.30383420379035203,"score_spread":0.2482263591347727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386700810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918322,0.00051593507,0.0050554364,0.000047378002,0.00010659222,0.00033836928,0.00092735566,0.000016889988,0.0011598748],"genre_scores_gemma":[0.99184376,0.0016629772,0.0060821297,0.000022620326,0.00003687979,0.00003925088,0.000068983056,0.000016219428,0.00022715073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882543,0.0000054616157,0.0007652608,0.00021424475,0.000020968067,0.0001686181],"domain_scores_gemma":[0.99879175,0.00014338376,0.00078571914,0.00015888014,0.00008068161,0.000039552822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008880636,0.00010252709,0.00049012614,0.00021743255,0.00006597131,0.000023719744,0.00007336847,0.00005886593,0.000041160423],"category_scores_gemma":[0.00014745565,0.00011510375,0.00010894412,0.00023924335,0.00004487788,0.00020559016,0.000027543563,0.000041105122,0.000012913639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033431726,0.00027173167,0.010790217,0.00016481658,0.0001745917,1.5826323e-7,0.0011524311,0.0013428855,0.00041103057,0.98523456,0.00022195424,0.00020220567],"study_design_scores_gemma":[0.0022653947,0.00012515207,0.005665302,0.000024399516,0.000036731606,0.0000014355554,0.0004818585,0.40833995,0.002777129,0.5796306,0.00048088847,0.00017116455],"about_ca_topic_score_codex":0.0000953765,"about_ca_topic_score_gemma":0.00002971864,"teacher_disagreement_score":0.40699705,"about_ca_system_score_codex":0.000026736683,"about_ca_system_score_gemma":0.000017904196,"threshold_uncertainty_score":0.46937948},"labels":[],"label_agreement":null},{"id":"W4386829930","doi":"10.5220/0012033700003620","title":"Option Pricing and Delta Hedging for Moderna Inc. on Different Models","year":2022,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Delta; Computer science; Economics; Financial economics; Business; Engineering","score_opus":0.05522283798225055,"score_gpt":0.2177045684397359,"score_spread":0.16248173045748535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386829930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9288438,0.0027082085,0.06466259,0.00045786652,0.000113848546,0.00020975295,0.00008473286,0.000029894505,0.0028893093],"genre_scores_gemma":[0.9967228,0.00054073404,0.00053654704,0.0003313297,0.00003191588,0.000072644994,0.00004944273,0.0000121551575,0.0017024088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993728,0.0000047667572,0.00022012499,0.00024309948,0.000025962567,0.0001332945],"domain_scores_gemma":[0.9997231,0.00002673299,0.000093952396,0.000112966336,0.000006515438,0.00003676326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014403684,0.000081362254,0.00018257859,0.00018607972,0.00025037926,0.000045404788,0.00006689172,0.0000187578,0.000095663934],"category_scores_gemma":[0.00000492261,0.00008061541,0.000069609334,0.0000675625,0.000010118538,0.000110762,0.00007936715,0.00006177006,0.0000066963944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013705872,0.000052286723,0.0007878177,0.0000070166657,0.00003172461,2.2621879e-7,0.0002535684,0.02674887,0.000016474316,0.9711588,0.00016252005,0.0007669874],"study_design_scores_gemma":[0.00022454884,0.00006178498,0.00030684166,0.0000011408587,0.0000063382195,3.8754186e-7,0.000100927835,0.6895991,0.00003111641,0.30884656,0.00073248375,0.00008876678],"about_ca_topic_score_codex":0.00019192735,"about_ca_topic_score_gemma":0.000018622895,"teacher_disagreement_score":0.6628502,"about_ca_system_score_codex":0.00009080838,"about_ca_system_score_gemma":0.0000022713916,"threshold_uncertainty_score":0.32874012},"labels":[],"label_agreement":null},{"id":"W4387247278","doi":"10.14455/isec.2023.10(1).enr-01","title":"A STUDY ON THE ECONOMIC ANALYSIS FRAMEWORK OF THE ARCTIC ENERGY PLANT CONSTRUCTION PROJECT","year":2023,"lang":"en","type":"article","venue":"Proceedings of International Structural Engineering and Construction","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Profitability index; Computer science; Cost estimate; Context (archaeology); Operations research; Environmental economics; Economics; Econometrics; Engineering; Systems engineering; Finance","score_opus":0.013254766854062452,"score_gpt":0.20587583731682554,"score_spread":0.19262107046276308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387247278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987015,0.00009818552,0.000036091686,0.00021998088,0.0005032789,0.00010250868,0.00007110719,0.000024108527,0.00024320695],"genre_scores_gemma":[0.99942034,0.00017727604,0.00025105695,0.000009048282,0.0000753639,0.00001662871,0.00000715458,0.0000069036005,0.000036194022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992453,0.0000025983227,0.00038048797,0.00020301758,0.00007383666,0.00009475967],"domain_scores_gemma":[0.99946,0.00005547853,0.00034236975,0.00007492963,0.00005035723,0.000016887536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014506787,0.00010941585,0.00022722142,0.000451356,0.0000750476,0.000048365197,0.00017212119,0.000046590725,0.000030331748],"category_scores_gemma":[0.000080848826,0.00007649606,0.00014956316,0.0005653111,0.00009715463,0.00010818673,0.00005491458,0.000103975755,0.0000017847802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000128074635,0.0000048694,0.13856065,0.000009853151,0.00071532285,9.616119e-8,0.00036643044,0.0017906214,0.00008579304,0.8582588,0.000015124455,0.00017967031],"study_design_scores_gemma":[0.00058704935,0.0001802717,0.6037633,0.00010061141,0.0004026537,0.00004621623,0.0070166816,0.2679279,0.0031712214,0.11599722,0.00037883513,0.0004280595],"about_ca_topic_score_codex":0.00047538814,"about_ca_topic_score_gemma":0.000007405633,"teacher_disagreement_score":0.7422615,"about_ca_system_score_codex":0.000072238094,"about_ca_system_score_gemma":0.0000072844487,"threshold_uncertainty_score":0.31194186},"labels":[],"label_agreement":null},{"id":"W4387719987","doi":"10.1093/hebz/9780198844808.003.0018","title":"Investment Appraisal Techniques","year":2020,"lang":"en","type":"book-chapter","venue":"Accounting","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internal rate of return; Net present value; Capital budgeting; Return on investment; Rate of return; Cash flow; Payback period; CITES; Profit (economics); Investment (military); Finance; Present value; Economics; Project appraisal; Business; Actuarial science; Microeconomics; Production (economics)","score_opus":0.034312958361957545,"score_gpt":0.22640140839063938,"score_spread":0.19208845002868183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387719987","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009125335,0.015218004,0.00007359492,0.0006703993,0.00033629657,0.00018264443,0.00009182061,0.00018772436,0.9831483],"genre_scores_gemma":[0.02482525,0.010545778,0.0060749548,0.011707938,0.004306581,0.00008453486,0.0007106038,0.00046164874,0.9412827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99838096,0.0000021398303,0.00072873436,0.000594584,0.00006660023,0.00022696074],"domain_scores_gemma":[0.99877447,0.000041590512,0.0007219539,0.00034878802,0.000028723785,0.000084462285],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021333116,0.00033231115,0.0006707322,0.0003057236,0.00010365565,0.00015719382,0.00029386408,0.00030060188,0.0013053332],"category_scores_gemma":[0.000058957492,0.0003803062,0.00037246733,0.000064021406,0.00007448502,0.00020406683,0.00018282779,0.0003615911,0.0038579358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017308181,0.0000073727692,0.00024893653,0.000029792327,0.00015424727,0.000009390889,0.00007070532,4.354166e-7,0.0000050190993,0.985505,0.013442155,0.0005252367],"study_design_scores_gemma":[0.000056822002,0.000020621857,0.000028785566,0.00003403461,0.000036138288,0.0000013799248,0.000007933129,0.0001717988,0.000035147288,0.30147293,0.6977763,0.00035808183],"about_ca_topic_score_codex":0.00010142923,"about_ca_topic_score_gemma":0.000012517232,"teacher_disagreement_score":0.68433416,"about_ca_system_score_codex":0.00009970391,"about_ca_system_score_gemma":0.000018770852,"threshold_uncertainty_score":0.9998649},"labels":[],"label_agreement":null},{"id":"W4388269570","doi":"10.1007/s10799-023-00413-y","title":"Trading volume and open interest from options markets as measures of the effect of IT announcements","year":2023,"lang":"en","type":"article","venue":"Information Technology and Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Algorithmic trading; Stock market; Business; Stock (firearms); Financial economics; Alternative trading system; Investment decisions; Monetary economics; Economics; Behavioral economics; Finance","score_opus":0.0291429702970446,"score_gpt":0.23331897518680483,"score_spread":0.20417600488976023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388269570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98454237,0.00080164656,0.00024297745,0.0021032845,0.00010450702,0.00043595332,0.0000867094,0.000027441809,0.0116550885],"genre_scores_gemma":[0.9964279,0.0027010466,0.00008947633,0.00006161522,0.0000020212124,0.000037120615,0.000026651405,0.0000019829533,0.000652193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995227,0.000007278457,0.00030300987,0.00007658806,0.000023305143,0.00006712132],"domain_scores_gemma":[0.99960124,0.000013356902,0.00021451092,0.0001509155,0.000009212245,0.000010732383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031348522,0.000055792996,0.00016053891,0.00046554467,0.00007270287,0.000032836284,0.00020062951,0.00004989218,0.000047012356],"category_scores_gemma":[0.000029028075,0.00004535864,0.000029463776,0.00040502124,0.00009079227,0.00032574983,0.0003226109,0.00004115464,0.00004070172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031056454,0.000015332098,0.06691321,0.00012077788,0.00038469463,4.411377e-7,0.0005231341,0.000018512357,0.000020469906,0.91052514,0.0054226816,0.016024554],"study_design_scores_gemma":[0.0034122104,0.00052265427,0.3036474,0.0002656256,0.00023931914,0.000002550057,0.0037932603,0.02103471,0.0027085147,0.40929794,0.25464734,0.00042848717],"about_ca_topic_score_codex":0.00009279868,"about_ca_topic_score_gemma":0.000014938539,"teacher_disagreement_score":0.5012272,"about_ca_system_score_codex":0.000012274319,"about_ca_system_score_gemma":0.0000013804369,"threshold_uncertainty_score":0.18496718},"labels":[],"label_agreement":null},{"id":"W4388831492","doi":"10.1108/sef-08-2023-0458","title":"American option evaluations using higher moments","year":2023,"lang":"en","type":"article","venue":"Studies in Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematical optimization; Quadratic equation; Context (archaeology); Moment (physics); Quadratic programming; Value at risk; Mathematics; Econometrics; Computer science; Economics; Finance; Risk management","score_opus":0.13984805247525964,"score_gpt":0.34398451362961263,"score_spread":0.204136461154353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388831492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98671,0.011077095,0.000016373468,0.0005320263,0.0005338835,0.00010214528,0.00004914227,0.0000172232,0.0009620774],"genre_scores_gemma":[0.79821444,0.19973198,0.00040317743,0.00010180267,0.00006252975,0.000030722767,0.000009744181,0.000011898468,0.0014337158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990243,0.000006784454,0.00040290636,0.00033306715,0.000013021117,0.00021991941],"domain_scores_gemma":[0.99955386,0.000030710642,0.00022347561,0.00015858431,0.000014795274,0.00001859058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002990859,0.00011437523,0.00036754418,0.00029133187,0.0001327229,0.000029020872,0.00007517533,0.000029591707,0.0000095729065],"category_scores_gemma":[0.000022491115,0.00013317293,0.00005949191,0.00040763183,0.00020226423,0.00016719726,0.000097260985,0.00005750587,0.00014033979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007699713,0.000037686124,0.039455764,0.000011793178,0.00014759059,0.000002909636,0.0011068205,0.011955657,0.000004585497,0.94284296,0.00040511868,0.004021398],"study_design_scores_gemma":[0.0008577305,0.00008555744,0.21660979,0.00003017402,0.000026292442,0.000001488476,0.0012922436,0.28061274,0.000013874867,0.4490896,0.0508186,0.00056192046],"about_ca_topic_score_codex":0.00016901913,"about_ca_topic_score_gemma":0.000086204716,"teacher_disagreement_score":0.4937534,"about_ca_system_score_codex":0.0001452889,"about_ca_system_score_gemma":0.0000070091296,"threshold_uncertainty_score":0.54306346},"labels":[],"label_agreement":null},{"id":"W4389085326","doi":"10.1108/jes-08-2023-0424","title":"The nonlinear relationship between financial constraints and R&amp;D investment: the mediating role of executive stock options","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Hearst","funders":"","keywords":"Stock (firearms); Mediation; Panel data; Originality; Investment (military); Finance; Economics; Business; Econometrics","score_opus":0.10801903263543132,"score_gpt":0.3059689732379169,"score_spread":0.19794994060248555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389085326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9593902,0.036973916,0.000006761704,0.0019890594,0.0002932668,0.000104528204,0.00014929465,0.0000054007683,0.0010875202],"genre_scores_gemma":[0.98420674,0.014566027,0.00027558312,0.000061611354,0.0003902142,0.000007916807,0.0000060355087,0.000009245156,0.00047665142],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987925,0.000030930125,0.0008810155,0.00011278158,0.000033189972,0.00014957855],"domain_scores_gemma":[0.9973643,0.001373795,0.0010410248,0.00012598747,0.000051852036,0.000043030257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012279797,0.00009826989,0.00040389213,0.00018984226,0.00040508615,0.00003909399,0.00016017903,0.000042726148,0.00000883899],"category_scores_gemma":[0.00090915017,0.00006583639,0.00016821681,0.00015874623,0.00046340082,0.00014227639,0.00008917815,0.00016726386,0.00004885914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011206225,0.000014130165,0.44980347,0.000010496417,0.0007354272,7.7569297e-7,0.005775501,0.00027270894,0.0000049022146,0.53961253,0.0032121541,0.00054668577],"study_design_scores_gemma":[0.0006121726,0.00010660137,0.4448622,0.00003456119,0.00014819657,0.000006539877,0.0094309645,0.0009266411,0.000033487966,0.5298401,0.013824644,0.00017389927],"about_ca_topic_score_codex":0.000025036252,"about_ca_topic_score_gemma":0.00007075877,"teacher_disagreement_score":0.024816465,"about_ca_system_score_codex":0.000079998186,"about_ca_system_score_gemma":0.000041923344,"threshold_uncertainty_score":0.3115636},"labels":[],"label_agreement":null},{"id":"W4389108344","doi":"10.5539/ibr.v16n12p51","title":"The Multiple-Scenario Valuation Method: When Robust Strategy Meets Valuation Needs","year":2023,"lang":"en","type":"article","venue":"International Business Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Confusion; Volatility (finance); Business; Computer science; Economics; Actuarial science; Risk analysis (engineering); Accounting; Financial economics","score_opus":0.3020938657677602,"score_gpt":0.39004201055253157,"score_spread":0.08794814478477136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389108344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5707858,0.016032549,0.10062631,0.20438229,0.008537053,0.0033106687,0.00057435053,0.00070150336,0.095049456],"genre_scores_gemma":[0.96008956,0.0044054342,0.0012447416,0.000090795984,0.0006500751,0.00020497583,0.0005439669,0.000040573832,0.032729886],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802923,0.00017371941,0.0005610295,0.00036445574,0.00048337702,0.00038816343],"domain_scores_gemma":[0.9974035,0.0010611824,0.00018470739,0.0003257676,0.0009575347,0.000067323344],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006904248,0.00012801008,0.0001901407,0.0012989099,0.000515309,0.00057753606,0.0006279594,0.00010008705,0.000503333],"category_scores_gemma":[0.002164847,0.00010877034,0.0001157666,0.0020141907,0.000120468445,0.0004422096,0.00020694445,0.00025433514,0.0026202726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012303406,0.00013343937,0.027943827,0.000020837466,0.00039855606,0.000009360548,0.0012759881,0.075126775,0.00038051695,0.86297154,0.018882306,0.012733798],"study_design_scores_gemma":[0.00044921413,0.000020714622,0.16332132,0.0000136669505,0.0000073612646,0.0000016388649,0.00039774715,0.4842744,0.00008541319,0.2967906,0.054484367,0.00015359117],"about_ca_topic_score_codex":0.0022458865,"about_ca_topic_score_gemma":0.0004500249,"teacher_disagreement_score":0.56618094,"about_ca_system_score_codex":0.00028712733,"about_ca_system_score_gemma":0.000082592385,"threshold_uncertainty_score":0.9981563},"labels":[],"label_agreement":null},{"id":"W4389154280","doi":"10.5539/ijef.v15n12p160","title":"Real Options Analysis for Investment Decisions in Geothermal Energy","year":2023,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Geothermal gradient; Investment (military); Environmental economics; Renewable energy; Geothermal energy; Investment analysis; Greenhouse gas; Value (mathematics); Risk analysis (engineering); Option value; Business; Economics; Computer science; Finance; Engineering; Microeconomics; Financial risk; Management","score_opus":0.03867503096448495,"score_gpt":0.25620563941747404,"score_spread":0.2175306084529891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389154280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99262655,0.0035417876,0.0005860415,0.0016039362,0.0005008926,0.00004703855,0.00023132778,0.0000041091444,0.00085833773],"genre_scores_gemma":[0.80534333,0.19216444,0.0012986618,0.00022922266,0.00015180702,0.000012531961,0.000037627025,0.00000999321,0.0007524123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988793,0.000005824116,0.00076444185,0.00018391704,0.000024356823,0.00014214036],"domain_scores_gemma":[0.99916625,0.00010687034,0.0005166212,0.0001007283,0.00006820625,0.000041317588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004177233,0.000090626,0.000351252,0.0011951367,0.000042492273,0.000074487754,0.00023474722,0.00005364075,0.000023125067],"category_scores_gemma":[0.000045695306,0.00009762978,0.00028732506,0.00032306396,0.00003487876,0.00023237852,0.000048407786,0.00005719412,0.0000136012095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029171513,0.00004602809,0.009764384,5.259979e-7,0.00045218776,0.0000068371155,0.00012170424,0.045868706,0.000003101819,0.94275755,0.00028629016,0.00066350115],"study_design_scores_gemma":[0.0010883865,0.00008133714,0.09205849,0.000013265626,0.000057613845,0.0000076178458,0.00008666418,0.3142842,0.000023517914,0.5222947,0.0698045,0.00019970383],"about_ca_topic_score_codex":0.000279198,"about_ca_topic_score_gemma":0.00041383822,"teacher_disagreement_score":0.42046285,"about_ca_system_score_codex":0.00010623017,"about_ca_system_score_gemma":0.000025989964,"threshold_uncertainty_score":0.3981227},"labels":[],"label_agreement":null},{"id":"W4389318616","doi":"10.2139/ssrn.4652397","title":"Can Socially-Minded Governance Control the AGI Beast?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Corporate governance; Control (management); Political science; Management; Economics","score_opus":0.011606284334893349,"score_gpt":0.2000051536940697,"score_spread":0.18839886935917635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389318616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70729256,0.16237551,0.0011641128,0.11630051,0.0019025174,0.00056562305,0.00026674313,0.00020204044,0.009930372],"genre_scores_gemma":[0.9368125,0.04736517,0.0000059621293,0.00052645605,0.00050321664,0.000010876711,0.000008019616,0.000024308853,0.014743487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975725,0.000028786195,0.00044328638,0.00022693131,0.00008891269,0.0016396054],"domain_scores_gemma":[0.99921924,0.00005142889,0.00042178476,0.00020462922,0.000032356267,0.00007055423],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017760141,0.00014868459,0.0003057942,0.00011296147,0.00044990893,0.00012615866,0.00040984288,0.00007559382,0.00014578484],"category_scores_gemma":[0.000081727514,0.00011907261,0.00032901813,0.00050014845,0.00007836394,0.00013519837,0.000034367247,0.0009961849,0.000862437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010945277,0.00001977437,0.005131749,0.0000012533452,0.0003262797,0.0000032771795,0.00022840331,0.00007691152,0.000011239581,0.9914204,0.0015974805,0.001172291],"study_design_scores_gemma":[0.0007676626,0.000071512724,0.012540529,0.0000037499374,0.000035643152,0.000024391182,0.00058284734,0.0015235988,0.000007891824,0.9733748,0.0108826,0.00018476282],"about_ca_topic_score_codex":0.00049251795,"about_ca_topic_score_gemma":0.0038523872,"teacher_disagreement_score":0.22951993,"about_ca_system_score_codex":0.0006961222,"about_ca_system_score_gemma":0.0004857203,"threshold_uncertainty_score":0.9999155},"labels":[],"label_agreement":null},{"id":"W4389381464","doi":"10.2139/ssrn.4617940","title":"Enterprise Value and the Value of Data","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for International Governance Innovation; Asia Pacific Foundation of Canada; Balsillie School of International Affairs","funders":"","keywords":"Economic rent; Value (mathematics); Commodity; Balance sheet; Economics; National accounts; Balance (ability); National Income and Product Accounts; Business; Enterprise value; Industrial organization; Variable (mathematics); Curiosity; Microeconomics; Commerce; Accounting; Market economy; Computer science","score_opus":0.02438594163375148,"score_gpt":0.23989432152131396,"score_spread":0.21550837988756247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389381464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79813397,0.19082914,0.0018191623,0.0059919036,0.00031469952,0.00017995098,0.00009125654,0.000031659973,0.0026082338],"genre_scores_gemma":[0.8326405,0.16505586,0.00003968935,0.00008201503,0.00010864021,0.000001629034,0.000016063683,0.000010832031,0.0020447376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986747,0.000030159905,0.00039176302,0.0001870591,0.00004606579,0.0006702493],"domain_scores_gemma":[0.9992733,0.000071298164,0.0002663761,0.00034054212,0.000012298257,0.000036159407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031701801,0.0000811163,0.00025807813,0.00018334597,0.00012835271,0.00004863455,0.0004586224,0.0000351529,0.000030136542],"category_scores_gemma":[0.00007757134,0.000058850128,0.0001096966,0.00030227975,0.00011740093,0.00022069848,0.00017119726,0.00045094013,0.00010517143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022258537,0.000013715795,0.0034583719,0.000002985367,0.00024055423,7.089521e-7,0.00020228415,0.000037456462,0.0000037969246,0.9949151,0.0003366056,0.0007661205],"study_design_scores_gemma":[0.00085014635,0.000043730706,0.0016200833,0.000005175265,0.000041185183,0.000026511136,0.0005580158,0.022305327,0.000005530346,0.97154164,0.0029229582,0.00007968792],"about_ca_topic_score_codex":0.00034549067,"about_ca_topic_score_gemma":0.00011341288,"teacher_disagreement_score":0.03450655,"about_ca_system_score_codex":0.00008239976,"about_ca_system_score_gemma":0.000107427106,"threshold_uncertainty_score":0.23998386},"labels":[],"label_agreement":null},{"id":"W4389396611","doi":"10.1111/acfi.13200","title":"Optimal capital structure with supplier market power","year":2023,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Leverage (statistics); Capital structure; Market power; Business; Market value added; Industrial organization; Microeconomics; Investment (military); Monetary economics; Economics; Market value; Finance","score_opus":0.006767765410315772,"score_gpt":0.1804564415824226,"score_spread":0.17368867617210684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389396611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915223,0.003649679,0.000025287889,0.00033374506,0.00012603348,0.00006927761,0.00012175554,0.000058844205,0.0040930626],"genre_scores_gemma":[0.99158126,0.0016114255,0.00060590403,0.0001429001,0.000071322655,0.000008046179,0.000028993145,0.000022107311,0.005928047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990546,0.0000030387796,0.00023107551,0.00037330034,0.000039879196,0.00029808294],"domain_scores_gemma":[0.9995824,0.000024125595,0.00014775983,0.00020065617,0.00001933061,0.000025720665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016774768,0.000146353,0.00025664948,0.0001695358,0.00016409365,0.00012022958,0.00011417535,0.00007725252,0.0003348954],"category_scores_gemma":[0.000018285875,0.00013347468,0.00004866496,0.00042357796,0.0000836532,0.0002564438,0.00005898397,0.00012392683,0.00022456616],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074630116,0.000055668937,0.37041205,0.0000512105,0.0002125947,0.00006585367,0.0026843618,0.00093496137,0.000066089495,0.5860833,0.038274143,0.0010851572],"study_design_scores_gemma":[0.0014320251,0.00019373384,0.7667719,0.000053092037,0.00004221583,0.0000362377,0.0009180061,0.020626636,0.0001566127,0.05313757,0.15540697,0.0012249798],"about_ca_topic_score_codex":0.00010109194,"about_ca_topic_score_gemma":0.000026659463,"teacher_disagreement_score":0.5329457,"about_ca_system_score_codex":0.000015574464,"about_ca_system_score_gemma":0.0000075406283,"threshold_uncertainty_score":0.54429394},"labels":[],"label_agreement":null},{"id":"W4389743389","doi":"10.1080/03155986.2023.2285174","title":"Cost of effort in benchmarking: exploration and applications","year":2023,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Benchmarking; Computer science; Data science; Business; Marketing","score_opus":0.15861663271175108,"score_gpt":0.3447072282349952,"score_spread":0.18609059552324414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389743389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8822724,0.008368025,0.014839922,0.002854895,0.0004741951,0.006619489,0.0008565864,0.00011500935,0.08359944],"genre_scores_gemma":[0.9959785,0.0026397381,0.000065398046,0.000030308067,0.000054238513,0.00045555364,0.000335869,0.0000032440867,0.00043716782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903333,0.000013200579,0.0006114661,0.00009087933,0.00012076388,0.00013038648],"domain_scores_gemma":[0.9995073,0.00009491886,0.000108370965,0.00009241148,0.00014980238,0.000047198493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019708672,0.0000527515,0.00014784026,0.0009170676,0.00014107543,0.00019367649,0.00005745982,0.000055882196,0.000021588385],"category_scores_gemma":[0.000069202935,0.000052512816,0.000018936173,0.0007367065,0.00006754493,0.0014739017,0.000050139643,0.00008195721,0.0001779066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007317051,0.0000072766793,0.02103739,0.00007349404,0.000010176128,1.09164695e-7,0.0012923972,0.00264689,0.0000037052037,0.9727202,0.0006237421,0.0015772828],"study_design_scores_gemma":[0.00094739534,0.00010373795,0.1306663,0.00006136519,0.0000028365635,0.000003736356,0.00534756,0.5196775,0.000042467364,0.017876875,0.32502854,0.00024164902],"about_ca_topic_score_codex":0.0006647298,"about_ca_topic_score_gemma":0.000045072786,"teacher_disagreement_score":0.95484334,"about_ca_system_score_codex":0.000039347742,"about_ca_system_score_gemma":0.000029554016,"threshold_uncertainty_score":0.22866887},"labels":[],"label_agreement":null},{"id":"W4390022044","doi":"10.7202/1107008ar","title":"L’analyse de risque dans les décisions financières – partie 2","year":2023,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Mathematics","score_opus":0.07246926733244664,"score_gpt":0.2855274698802984,"score_spread":0.2130582025478518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390022044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7965875,0.14005306,0.0036325215,0.029597849,0.0013778487,0.00026708064,0.0008963552,0.00037794144,0.027209794],"genre_scores_gemma":[0.76655215,0.18630823,0.0017879249,0.00018120407,0.00024468833,0.000077860095,0.00015967352,0.000049621092,0.04463864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970718,0.00024647466,0.0010027912,0.0007221829,0.00012935206,0.00082739047],"domain_scores_gemma":[0.9981083,0.00057552615,0.00047477402,0.00050960755,0.00011638423,0.00021535683],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015528891,0.00039401627,0.0007461419,0.00071768416,0.00059544033,0.00033112094,0.00038117118,0.00040979448,0.00082160335],"category_scores_gemma":[0.0007543026,0.00045208485,0.00059619494,0.0018047487,0.0005983434,0.0008508822,0.0001129731,0.00042227254,0.0021115297],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004230657,0.00037028585,0.37783206,0.0002212865,0.0007758933,0.00011110825,0.0062998123,0.17199503,0.00010077666,0.29115477,0.11705639,0.034040287],"study_design_scores_gemma":[0.00042576605,0.00016822481,0.4295057,0.00032472608,0.00026976224,0.00001425267,0.0016140533,0.28649986,0.00074030936,0.12841603,0.15125822,0.0007630994],"about_ca_topic_score_codex":0.009822544,"about_ca_topic_score_gemma":0.0104890745,"teacher_disagreement_score":0.16273876,"about_ca_system_score_codex":0.00043108143,"about_ca_system_score_gemma":0.000073101684,"threshold_uncertainty_score":0.9997931},"labels":[],"label_agreement":null},{"id":"W4390903399","doi":"10.1016/j.jfineco.2024.103779","title":"Capital budgeting, uncertainty, and misallocation","year":2024,"lang":"en","type":"article","venue":"Journal of Financial Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministry of Finance Japan; Ministry of Education - Singapore","keywords":"Investment (military); Productivity; Ex-ante; Economics; Capital budgeting; Capital (architecture); Investment decisions; Microeconomics; Capital investment; Aggregate (composite); Business; Monetary economics; Finance; Production (economics); Macroeconomics","score_opus":0.013468511209176495,"score_gpt":0.20722198670271585,"score_spread":0.19375347549353936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390903399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9543845,0.04094464,0.00026480487,0.0011798741,0.0011147462,0.000047537975,0.000033022585,0.00001116324,0.0020197139],"genre_scores_gemma":[0.98483884,0.013144608,0.000496644,0.00020804358,0.00065135566,0.0000014987048,0.0000050579797,0.000017019634,0.0006369538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888325,0.0000061073083,0.0007596941,0.00018238935,0.000018732646,0.00014981886],"domain_scores_gemma":[0.9993659,0.000045031713,0.00037186823,0.00009379589,0.00003505601,0.00008832939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053320633,0.00011452295,0.0003504581,0.00034321082,0.00005775436,0.00018001482,0.0001209011,0.0000904889,0.000097812415],"category_scores_gemma":[0.000094971576,0.000118351825,0.00020756382,0.000116946096,0.00006228326,0.00040768983,0.000029857292,0.00017450555,0.00011568351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015730844,0.000030359137,0.0028686249,0.00003252846,0.000077715085,0.000013588832,0.00081179757,0.0005432177,0.00002346523,0.98883533,0.0023942564,0.0043533975],"study_design_scores_gemma":[0.0007572073,0.00036521623,0.02400667,0.00009401386,0.00008977922,0.000150842,0.00023701963,0.029688679,0.00011303222,0.6164888,0.32746857,0.000540143],"about_ca_topic_score_codex":0.00010068913,"about_ca_topic_score_gemma":0.00006526705,"teacher_disagreement_score":0.3723465,"about_ca_system_score_codex":0.00013822634,"about_ca_system_score_gemma":0.000081016464,"threshold_uncertainty_score":0.48262474},"labels":[],"label_agreement":null},{"id":"W4391746434","doi":"10.3390/jrfm17020072","title":"The New Normalcy and the Pandemic Threat: A Real Option Approach","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Restructuring; Liability; Business; Incentive; Safeguarding; Corporate governance; Subsidy; Damages; Investment (military); Public economics; Economics; Finance; Market economy","score_opus":0.0119990919604882,"score_gpt":0.2012749926197423,"score_spread":0.1892759006592541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391746434","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32276103,0.58504504,0.069459885,0.0030572112,0.0015801169,0.00058462325,0.000030491012,0.00003731475,0.0174443],"genre_scores_gemma":[0.5479598,0.44959092,0.00042676597,0.000056792444,0.00035042615,0.000004323397,0.0000010086053,0.0000069662287,0.0016030049],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99918234,0.000020576397,0.00045779475,0.00014465398,0.000056200784,0.00013840625],"domain_scores_gemma":[0.9994932,0.00008125551,0.00024504334,0.00011266888,0.0000131582265,0.000054696815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012168895,0.000100302575,0.00024291732,0.00015486481,0.00025988976,0.00026942306,0.00013021543,0.00004232179,0.0000057484467],"category_scores_gemma":[0.000028925442,0.000054942127,0.00016407456,0.00020437285,0.00012209435,0.00017631118,0.00007228173,0.0002014727,0.000011550218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008167405,0.000013086526,0.0036041534,0.000018616267,0.000093510636,0.000006257533,0.0009321862,0.00003266486,1.624836e-7,0.90173656,0.001735642,0.0917455],"study_design_scores_gemma":[0.0015608154,0.00009477837,0.065275654,0.00003941995,0.00029068024,0.0000365332,0.00058794714,0.007889704,6.71548e-7,0.6197722,0.30428305,0.00016852762],"about_ca_topic_score_codex":0.00023780874,"about_ca_topic_score_gemma":0.00004492693,"teacher_disagreement_score":0.30254743,"about_ca_system_score_codex":0.000031353076,"about_ca_system_score_gemma":0.000011692044,"threshold_uncertainty_score":0.25980526},"labels":[],"label_agreement":null},{"id":"W4391827577","doi":"10.2139/ssrn.4726973","title":"The Impacts of Patent Regime Shifts: A Natural Experiment from the Pharmaceutical Industry","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Natural (archaeology); Pharmaceutical industry; Business; Natural resource economics; Economics; Industrial organization; Geography; Biotechnology; Biology","score_opus":0.04065387292578453,"score_gpt":0.2775771699188315,"score_spread":0.23692329699304698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391827577","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44714215,0.5439601,0.000017679533,0.007227085,0.0010839598,0.00016087695,0.00006856828,0.000013524709,0.00032609105],"genre_scores_gemma":[0.8410804,0.15661405,0.000011430957,0.00018493082,0.0007742428,0.00001860797,0.000017803175,0.00003429765,0.0012642258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968778,0.00007564988,0.000987695,0.00042544614,0.00015488344,0.0014785498],"domain_scores_gemma":[0.9984805,0.00014737422,0.000766817,0.00044595115,0.000046004916,0.00011334649],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002160451,0.0003241317,0.00053126295,0.00013760933,0.00027369548,0.00037471447,0.00091268186,0.00037123112,0.00011587263],"category_scores_gemma":[0.00008337445,0.00019030992,0.00074909336,0.00020449783,0.0001818357,0.00006721452,0.0006509209,0.009729759,0.00012828014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007733156,0.000084309686,0.0012849863,0.000013757075,0.0030915376,0.0000068042273,0.0011383588,0.000053183114,0.000057392994,0.99067247,0.0020478794,0.0014719828],"study_design_scores_gemma":[0.0003596054,0.000073184354,0.00070710026,0.00009206155,0.00020162946,0.000020539686,0.0020361121,0.002153265,0.00022010064,0.987277,0.00658298,0.00027642344],"about_ca_topic_score_codex":0.0013423236,"about_ca_topic_score_gemma":0.00054606964,"teacher_disagreement_score":0.39393827,"about_ca_system_score_codex":0.0013279266,"about_ca_system_score_gemma":0.00088655436,"threshold_uncertainty_score":0.99255484},"labels":[],"label_agreement":null},{"id":"W4391900588","doi":"10.2139/ssrn.4729601","title":"Is the Informational Content of VIX Options Redundant?Evidence from Two Option Markets","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Simon Fraser University","funders":"","keywords":"Economics; Content (measure theory); Financial economics; Mathematics","score_opus":0.05466048467544936,"score_gpt":0.2621087011868645,"score_spread":0.20744821651141515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391900588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6061192,0.38122633,0.002519921,0.0075044,0.0011007289,0.00027121988,0.00043447764,0.00002291785,0.00080079795],"genre_scores_gemma":[0.748869,0.24715205,0.00018676188,0.00011911561,0.0004469719,0.000017373532,0.000072718714,0.000020238518,0.0031157904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99749863,0.000043149026,0.0011966729,0.00032954421,0.00014806892,0.00078393164],"domain_scores_gemma":[0.99819994,0.00010854037,0.0011054511,0.00040299044,0.00011950623,0.00006357653],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022437978,0.0002426386,0.00047185598,0.00038904275,0.00019155834,0.00028067682,0.0005842087,0.00016251387,0.00040873635],"category_scores_gemma":[0.0000978186,0.00019475259,0.00072405365,0.00022351323,0.00011246705,0.00027382164,0.00037762147,0.0026831173,0.00040030526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034707016,0.000030301571,0.0010407488,0.000028427003,0.00128288,8.1697345e-7,0.0008347215,0.000988167,0.000035174802,0.9941972,0.00054085633,0.0009860286],"study_design_scores_gemma":[0.00022723601,0.00004711822,0.0036351378,0.00021100893,0.00017821294,0.000025153711,0.0006645778,0.019340616,0.000048309164,0.9744152,0.0009861733,0.00022127017],"about_ca_topic_score_codex":0.0015894168,"about_ca_topic_score_gemma":0.00039772346,"teacher_disagreement_score":0.14274977,"about_ca_system_score_codex":0.0010426096,"about_ca_system_score_gemma":0.00084548583,"threshold_uncertainty_score":0.99961776},"labels":[],"label_agreement":null},{"id":"W4392498792","doi":"10.1002/mde.4150","title":"Game‐theoretic approaches to product introduction strategies for durable products","year":2024,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stackelberg competition; Cournot competition; Duopoly; Valuation (finance); Competitor analysis; Economics; Microeconomics; Bertrand competition; Volatility (finance); Subgame perfect equilibrium; Game theory; Computer science; Industrial organization; Econometrics; Oligopoly","score_opus":0.06364343189534813,"score_gpt":0.21921530885354676,"score_spread":0.15557187695819863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392498792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94038737,0.015825627,0.023973329,0.009830868,0.0048301816,0.0011497554,0.00016291263,0.00014320327,0.0036967376],"genre_scores_gemma":[0.98038685,0.003523631,0.008906919,0.0001689954,0.003021422,0.00015280646,0.00008599454,0.000054616692,0.0036987695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983148,0.000006030737,0.00053202617,0.00087931944,0.00002020785,0.00024762907],"domain_scores_gemma":[0.99940157,0.000060132475,0.000092350114,0.00034191099,0.000017859851,0.000086192216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006410763,0.00018813985,0.00038084426,0.000411308,0.00011101884,0.00086187356,0.0001430131,0.000060602055,0.00009885236],"category_scores_gemma":[0.000075827564,0.00018334105,0.00011595494,0.00026521122,0.0000697074,0.00054031494,0.000081349965,0.0000681246,0.0003408192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092356866,0.0000286384,0.000022094002,0.000103216495,0.000068418034,8.4671325e-7,0.00029114448,0.0016718431,0.000017607945,0.9748575,0.0070852214,0.015761081],"study_design_scores_gemma":[0.00018564175,0.00007924986,0.000111589725,0.000010105853,0.000023154304,0.000004077256,0.00019117915,0.020160044,0.00014321924,0.7458276,0.23302743,0.00023667018],"about_ca_topic_score_codex":0.000031144024,"about_ca_topic_score_gemma":0.000021617458,"teacher_disagreement_score":0.2290299,"about_ca_system_score_codex":0.000068393536,"about_ca_system_score_gemma":0.000022897319,"threshold_uncertainty_score":0.83110666},"labels":[],"label_agreement":null},{"id":"W4392578107","doi":"10.5194/egusphere-egu24-11286","title":"A real options-based decision-making framework for hydraulic infrastructure investments","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Business; Computer science; Finance","score_opus":0.02862368628456185,"score_gpt":0.29056779101716246,"score_spread":0.2619441047326006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392578107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34344465,0.16294609,0.39704728,0.0066327592,0.015735038,0.005558313,0.0063549327,0.0014016582,0.060879286],"genre_scores_gemma":[0.5254531,0.0067178328,0.46116138,0.0028014951,0.0008985977,0.00061475765,0.0005379938,0.0001701627,0.0016447274],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973186,0.000011971279,0.0010536122,0.0011290236,0.0000857363,0.00040102124],"domain_scores_gemma":[0.99811184,0.00032538042,0.00051159976,0.0008576682,0.00005420653,0.00013931034],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035615228,0.00046213303,0.0008533313,0.000940746,0.00015608466,0.00050861883,0.00051282934,0.0007936153,0.0012964256],"category_scores_gemma":[0.00024388715,0.0004570647,0.00091275683,0.00042227897,0.00008081214,0.0000762994,0.00064260355,0.00079712784,0.00068632804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023104269,0.00005146482,0.0011903829,0.00018464382,0.0003608948,0.000004694246,0.0001498278,0.008784792,5.0584794e-7,0.9779211,0.010147199,0.0011813593],"study_design_scores_gemma":[0.00017392148,0.000031527266,0.0012599927,0.00032761393,0.00010557657,6.0705224e-7,0.00003709978,0.11678594,0.000007035494,0.8733781,0.0074268854,0.00046567825],"about_ca_topic_score_codex":0.0002287885,"about_ca_topic_score_gemma":0.000029551758,"teacher_disagreement_score":0.18200843,"about_ca_system_score_codex":0.00038252154,"about_ca_system_score_gemma":0.000119717035,"threshold_uncertainty_score":0.9997881},"labels":[],"label_agreement":null},{"id":"W4394147211","doi":"10.6084/m9.figshare.14320893","title":"Vale S.A.: Cobalt Streaming","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cobalt; Computer science; Chemistry","score_opus":0.059074628798295226,"score_gpt":0.23577966643261225,"score_spread":0.17670503763431702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394147211","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000032907456,0.04007561,6.101858e-8,0.00003681533,0.0001947846,0.0000918718,0.9578339,0.00002328028,0.0017404134],"genre_scores_gemma":[0.000006743422,0.0015420327,0.00001612761,0.00029593118,0.00037257746,0.000079615784,0.9948817,0.000022916482,0.002782337],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986497,0.000009612817,0.00047246407,0.0005391373,0.000050522045,0.00027853294],"domain_scores_gemma":[0.99871993,0.00004997983,0.00043201612,0.00065395446,0.000041101357,0.000102991566],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000047317408,0.00025462703,0.0005808702,0.0002372958,0.000095479336,0.00019850841,0.00037858757,0.00031034896,0.61989564],"category_scores_gemma":[0.00041572473,0.00029796077,0.00036413906,0.00029615933,0.000006615234,0.00010869472,0.00022370396,0.00029341533,0.052675247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.744052e-7,0.000042827673,0.000006169296,0.00018281834,0.00011583572,0.000044674383,0.0000071127474,0.0000036473002,4.334301e-8,0.00027076955,0.9992921,0.0000334796],"study_design_scores_gemma":[0.00010400204,0.000012544155,0.00007017915,0.0003877306,0.000023741644,0.0000027718677,0.0000137573215,0.00006791138,0.0000042247952,0.000557973,0.9983924,0.0003627551],"about_ca_topic_score_codex":0.00026201713,"about_ca_topic_score_gemma":0.00018685381,"teacher_disagreement_score":0.5672204,"about_ca_system_score_codex":0.00009552801,"about_ca_system_score_gemma":0.00004094944,"threshold_uncertainty_score":0.99994725},"labels":[],"label_agreement":null},{"id":"W4394806016","doi":"10.1016/j.frl.2024.105379","title":"A critical analysis of the Weighted Least Squares Monte Carlo method for pricing American options","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"Western University; Natural Sciences and Engineering Research Council of Canada; Wilfrid Laurier University","keywords":"Heteroscedasticity; Estimator; Monte Carlo method; Econometrics; Least-squares function approximation; Monte Carlo methods for option pricing; Mathematics; Economics; Statistics","score_opus":0.06670517147050962,"score_gpt":0.37154625238142874,"score_spread":0.3048410809109191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394806016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87760955,0.024698757,0.04680994,0.048440512,0.00034162914,0.0006151712,0.0009270191,0.000054364154,0.00050307286],"genre_scores_gemma":[0.9902612,0.0012538899,0.007096588,0.00028573204,0.00010068591,0.00015427286,0.000012121645,0.0000227591,0.0008127315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836206,0.000096619806,0.00046073183,0.00047589623,0.00014020932,0.00046448232],"domain_scores_gemma":[0.99853295,0.0007715525,0.00009593101,0.0004412314,0.00010477716,0.00005358627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013886574,0.00011961609,0.0004800547,0.0011966164,0.0002518714,0.00015168432,0.0003628658,0.000042051553,0.00005629276],"category_scores_gemma":[0.00038642998,0.000097144344,0.0006531897,0.0044480283,0.0004571311,0.00017642691,0.00009844658,0.0002895198,0.000031668438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024441286,0.000086455926,0.007294354,0.00012097797,0.0013787813,0.0000069736907,0.0011219052,0.004333979,0.00079675857,0.97379994,0.008423735,0.0026117114],"study_design_scores_gemma":[0.00018946474,0.00011971289,0.042694584,0.000095800126,0.00041617404,0.0000011713042,0.00038070878,0.8978044,0.0004630812,0.015404714,0.042118236,0.00031196038],"about_ca_topic_score_codex":0.002273401,"about_ca_topic_score_gemma":0.00025609543,"teacher_disagreement_score":0.9583952,"about_ca_system_score_codex":0.00016165272,"about_ca_system_score_gemma":0.000034296532,"threshold_uncertainty_score":0.39614314},"labels":[],"label_agreement":null},{"id":"W4394819609","doi":"10.3390/jrfm17040157","title":"Valuation of Patent-Based Collaborative Synergies under Strategic Settings with Multiple Uncertainties: Rainbow Real Options Approach","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Business; Mergers and acquisitions; Value creation; Strategic management; Industrial organization; Knowledge management; Accounting; Finance; Marketing; Computer science","score_opus":0.033881413949591425,"score_gpt":0.21891488678493767,"score_spread":0.18503347283534624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394819609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87855846,0.03586059,0.08164002,0.00037493522,0.00036879294,0.0004249428,0.00024419455,0.000026381373,0.002501654],"genre_scores_gemma":[0.97323626,0.020056376,0.006390457,0.000030328963,0.000072926094,0.000011034077,0.00001846166,0.000011854853,0.0001722702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896944,0.000028723583,0.0005713775,0.00019624339,0.00009950764,0.00013471524],"domain_scores_gemma":[0.9991826,0.00006372223,0.0005090903,0.00010140304,0.00009666284,0.000046560865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006324597,0.0001333939,0.00035448023,0.00050543435,0.00010647865,0.00011221664,0.00008842792,0.00005306028,0.000015032898],"category_scores_gemma":[0.000021241223,0.00010662123,0.00013189479,0.0005867807,0.00009952982,0.00020969745,0.00002278389,0.00013236377,0.0000033619472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015602828,0.00018045356,0.005058312,0.00023088208,0.00030613435,0.00001756958,0.001694731,0.04924688,0.000008541219,0.9409103,0.00035607332,0.001834097],"study_design_scores_gemma":[0.0057423674,0.0019052131,0.080060594,0.00069460226,0.001427745,0.00001200328,0.03203406,0.2071429,0.00013624472,0.658991,0.010832294,0.0010209777],"about_ca_topic_score_codex":0.00017523207,"about_ca_topic_score_gemma":0.000040553343,"teacher_disagreement_score":0.2819193,"about_ca_system_score_codex":0.00007422111,"about_ca_system_score_gemma":0.00005266003,"threshold_uncertainty_score":0.43478873},"labels":[],"label_agreement":null},{"id":"W4396617843","doi":"10.1016/j.ijpe.2024.109261","title":"A budgeting resource allocation model for capacity expansion","year":2024,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Resource allocation; Computer science; Resource (disambiguation); Operations research; Mathematics","score_opus":0.05606540959130747,"score_gpt":0.2546236329388417,"score_spread":0.19855822334753426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396617843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90631694,0.0046949885,0.06973209,0.013150353,0.0050869216,0.00016059756,0.00008354063,0.0000324106,0.000742167],"genre_scores_gemma":[0.98845834,0.001806386,0.0058517135,0.00017154282,0.0017010216,0.0000082247225,0.000024314259,0.000021421649,0.00195703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988609,0.0000064718547,0.00076132873,0.00023158526,0.00003895294,0.00010078218],"domain_scores_gemma":[0.9991741,0.00003297741,0.00047213258,0.00010361523,0.00017249255,0.00004466078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000846612,0.000091315094,0.00019454943,0.0004755506,0.000050873063,0.00016536718,0.00020290623,0.00005452309,0.000034637076],"category_scores_gemma":[0.00017595266,0.00009809162,0.00024906977,0.000072616334,0.000032787095,0.00066662877,0.000022193786,0.00011846194,0.00004089924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097804754,0.00011211493,0.0004528848,0.0000374125,0.00060861255,0.0000019800389,0.001971493,0.14375201,0.0008993339,0.83636093,0.009509693,0.0061957147],"study_design_scores_gemma":[0.00024512477,0.000041796742,0.000116542345,0.00003792823,0.00003174643,0.00005081201,0.00012743709,0.73671824,0.0019697803,0.1991523,0.061355196,0.00015307627],"about_ca_topic_score_codex":0.00001663752,"about_ca_topic_score_gemma":0.000010945347,"teacher_disagreement_score":0.63720864,"about_ca_system_score_codex":0.00030314943,"about_ca_system_score_gemma":0.00004245768,"threshold_uncertainty_score":0.40000606},"labels":[],"label_agreement":null},{"id":"W4399039973","doi":"10.2139/ssrn.4843615","title":"Investment Strategy of Offshore Wind Power Under Gradient Interactive Policy Mixes: A Real Options Approach","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Offshore wind power; Wind power; Submarine pipeline; Investment (military); Power (physics); Environmental economics; Business; Natural resource economics; Marine engineering; Environmental science; Economics; Computer science; Engineering; Oceanography; Geology; Electrical engineering","score_opus":0.024876623949429407,"score_gpt":0.25995539238866067,"score_spread":0.23507876843923126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399039973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.660261,0.28272986,0.00073910144,0.002265362,0.0010852924,0.0007379405,0.0005334713,0.00006760678,0.05158037],"genre_scores_gemma":[0.8809948,0.11478799,0.00015760132,0.000092075155,0.00030337597,0.000022821658,0.00011718518,0.00006376967,0.0034604003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99629426,0.0000624031,0.0012466199,0.00070599944,0.0001360911,0.0015546014],"domain_scores_gemma":[0.99819154,0.000025030244,0.001037605,0.00048457435,0.000081615486,0.00017961713],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001166828,0.00045565917,0.00091603334,0.0014390142,0.00012885798,0.00022461427,0.00052660785,0.00033669153,0.000088682034],"category_scores_gemma":[0.000026553236,0.00043754294,0.00094367645,0.00050180947,0.00014177313,0.00014738101,0.0004391494,0.003915803,0.00010881619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029059158,0.00034607164,0.0002072527,0.000052975844,0.0027179532,0.0000032805756,0.0012746127,0.0026289746,0.000009273202,0.9924235,0.00018313003,0.00012396187],"study_design_scores_gemma":[0.0003216331,0.00026828563,0.0010172909,0.000085228065,0.00019031625,0.0000722232,0.0058139456,0.0020283444,0.000011909755,0.98954654,0.00023941726,0.00040488428],"about_ca_topic_score_codex":0.0031952274,"about_ca_topic_score_gemma":0.0007553114,"teacher_disagreement_score":0.22073379,"about_ca_system_score_codex":0.003720132,"about_ca_system_score_gemma":0.0022755852,"threshold_uncertainty_score":0.99980766},"labels":[],"label_agreement":null},{"id":"W4399431622","doi":"10.1057/s41270-024-00320-3","title":"The second mover’s market research dilemma","year":2024,"lang":"en","type":"article","venue":"Journal of Marketing Analytics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"First-mover advantage; Herding; Dilemma; Microeconomics; Business; Economics; Intuition; Industrial organization; Competition (biology); Private information retrieval; Marketing; Computer science","score_opus":0.0634444672504892,"score_gpt":0.2974330235007896,"score_spread":0.2339885562503004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399431622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51385736,0.23035747,0.00027504083,0.011708869,0.0029571843,0.00017175027,0.00009619545,0.00004315814,0.240533],"genre_scores_gemma":[0.87698674,0.016683865,0.00033136984,0.00011286825,0.0009930418,0.0000017742628,0.0000014168618,0.0000353157,0.10485363],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998057,0.00021465894,0.000992089,0.0001971184,0.00018935684,0.00034976593],"domain_scores_gemma":[0.9965778,0.00247476,0.0003662589,0.00026227135,0.00020181829,0.00011707749],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.022441464,0.00011661736,0.00032364993,0.0006001022,0.00030607657,0.00070207,0.000408637,0.00007886567,0.0016639377],"category_scores_gemma":[0.0019577588,0.00008391608,0.00042174206,0.00077894155,0.00014196632,0.0002271382,0.00008949863,0.00068753783,0.00017480155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020587363,0.000070503,0.008362879,0.00014862115,0.0011164595,0.00018066581,0.00029641774,0.00009615498,0.000023045517,0.2245807,0.761945,0.0029736548],"study_design_scores_gemma":[0.00015155414,0.00006888652,0.0067659165,0.000102383034,0.000040417555,0.00004123649,0.00033236467,0.048190244,0.000018325767,0.06393956,0.88020736,0.00014172879],"about_ca_topic_score_codex":0.000019484722,"about_ca_topic_score_gemma":0.000038247934,"teacher_disagreement_score":0.36312938,"about_ca_system_score_codex":0.00018608545,"about_ca_system_score_gemma":0.000066619985,"threshold_uncertainty_score":0.9992487},"labels":[],"label_agreement":null},{"id":"W4399828950","doi":"10.1142/9789811285530_0008","title":"A DYNAMIC INVESTMENT MODEL WITH CONTROL ON THE PORTFOLIO’S WORST CASE OUTCOME","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Outcome (game theory); Investment (military); Investment portfolio; Control (management); Economics; Econometrics; Computer science; Financial economics; Mathematical economics; Political science; Management","score_opus":0.03396060511361121,"score_gpt":0.22032430032986433,"score_spread":0.18636369521625312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828950","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009373742,0.030790586,0.00007471655,0.005082247,0.0024429886,0.0012643499,0.001708225,0.000112457594,0.9491507],"genre_scores_gemma":[0.15825595,0.0005153213,0.00019279834,0.0008326816,0.000037675865,0.00012080273,0.00005414347,0.0000799469,0.8399107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99692434,0.000008231699,0.0010973404,0.0013014583,0.00017467898,0.00049397023],"domain_scores_gemma":[0.99791217,0.000068779394,0.00059455953,0.0012973123,0.00004566386,0.0000815339],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008513062,0.00056420936,0.00092697114,0.0012695972,0.00036958925,0.0005097569,0.00051079,0.00016297286,0.000625891],"category_scores_gemma":[0.000020264384,0.00042614868,0.0003506461,0.00061663054,0.00092708715,0.00022734917,0.00012894817,0.000701347,0.0013131289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038664348,0.00003629042,0.00013921336,0.00003683889,0.000103233855,0.00085833523,0.00026442984,0.0038125175,2.8322526e-7,0.98672765,0.007948336,0.00003418013],"study_design_scores_gemma":[0.0003426444,0.00005950729,0.00004176452,0.00026222886,0.00007443947,0.000077978555,0.000046936446,0.046253376,0.0000016185575,0.563711,0.38842514,0.0007033597],"about_ca_topic_score_codex":0.000077064695,"about_ca_topic_score_gemma":0.007922641,"teacher_disagreement_score":0.42301667,"about_ca_system_score_codex":0.00046655248,"about_ca_system_score_gemma":0.00007412384,"threshold_uncertainty_score":0.99981904},"labels":[],"label_agreement":null},{"id":"W4399976330","doi":"10.18280/ijsdp.190622","title":"Semiparametric Option-Implied Information and Median-Variance Approach: A Game-Changer in Integrating Sustainable Practices in Portfolio Optimization","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Portfolio; Portfolio optimization; Economics; Econometrics; Mathematical optimization; Computer science; Financial economics; Mathematics","score_opus":0.026123395703259153,"score_gpt":0.2563460486541705,"score_spread":0.23022265295091132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399976330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93633837,0.027803108,0.029243093,0.0007323958,0.00032440192,0.0002553835,0.000004293065,0.000016494083,0.005282467],"genre_scores_gemma":[0.9854412,0.0024007235,0.011199871,0.0000828742,0.000083892824,0.000016206499,0.00004476155,0.000008606322,0.0007218834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864984,0.000015615647,0.0008363543,0.00015860073,0.00011474847,0.00022482283],"domain_scores_gemma":[0.9988976,0.00011858744,0.00069125334,0.000038754762,0.000198294,0.00005547946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014070905,0.000121234974,0.00024187643,0.0028171267,0.00004985268,0.00057360425,0.0001235289,0.00007925513,0.000027255493],"category_scores_gemma":[0.0006008926,0.00011983684,0.00003173515,0.0007560265,0.00002315744,0.0027392094,0.00006966327,0.0002469951,0.0000024666308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021221048,0.0001437573,0.10410469,0.00054803595,0.00040764315,0.001868914,0.06518328,0.07340905,0.0000044203357,0.74694765,0.00041958995,0.006750739],"study_design_scores_gemma":[0.0024356844,0.00011481708,0.05176196,0.0007630386,0.00004099533,0.00032394635,0.23503685,0.61827695,0.000046093322,0.047098555,0.04329071,0.00081038853],"about_ca_topic_score_codex":0.00025191935,"about_ca_topic_score_gemma":0.000005074401,"teacher_disagreement_score":0.6998491,"about_ca_system_score_codex":0.00035279075,"about_ca_system_score_gemma":0.00013372126,"threshold_uncertainty_score":0.5531279},"labels":[],"label_agreement":null},{"id":"W4400585249","doi":"10.2139/ssrn.4887980","title":"Irreversible investment under uncertainty and weighted discounting","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Discounting; Investment (military); Economics; Econometrics; Mathematics; Mathematical economics; Actuarial science; Financial economics; Finance; Political science","score_opus":0.017067958128992103,"score_gpt":0.2249301364872804,"score_spread":0.2078621783582883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400585249","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4700507,0.51687115,0.0006380048,0.0044639735,0.0012881584,0.0002486013,0.000082899525,0.000063936386,0.006292583],"genre_scores_gemma":[0.8079701,0.1778451,0.00016447979,0.00048350904,0.0006291171,0.00001648064,0.0000665803,0.00006644212,0.012758171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968752,0.000027471935,0.0007515345,0.00064936205,0.00009139595,0.0016049908],"domain_scores_gemma":[0.99897265,0.000027629896,0.0005324528,0.00029707316,0.000034980647,0.00013523253],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015770305,0.000364244,0.00062737695,0.0005953033,0.00023078803,0.00048322053,0.00031538503,0.0002639255,0.00013717046],"category_scores_gemma":[0.000018718121,0.0003441754,0.00040719612,0.0002509431,0.000102398706,0.0001332808,0.00060158054,0.0036730322,0.00028492932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007747743,0.0000379094,0.00075784855,0.00005319333,0.0010955955,0.0000049063947,0.00022995552,0.0004883195,0.000003414519,0.9965141,0.0005239718,0.00028307133],"study_design_scores_gemma":[0.00027538702,0.000060876508,0.00014670577,0.00007883908,0.00016876895,0.00005008937,0.0009084248,0.010316223,0.0000037087282,0.98399484,0.0035872487,0.00040886938],"about_ca_topic_score_codex":0.0010563658,"about_ca_topic_score_gemma":0.0011001072,"teacher_disagreement_score":0.33902606,"about_ca_system_score_codex":0.00198533,"about_ca_system_score_gemma":0.00075794954,"threshold_uncertainty_score":0.999901},"labels":[],"label_agreement":null},{"id":"W4402165865","doi":"10.22541/au.172540693.36220178/v1","title":"Option Contracts in the DeFi Ecosystem: Opportunities, Solutions, &amp; Technical Challenges","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ecosystem; Business; Natural resource economics; Economics; Environmental resource management; Ecology; Biology","score_opus":0.2646837804027994,"score_gpt":0.2740670779761014,"score_spread":0.00938329757330203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402165865","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051112577,0.66234773,0.0005182029,0.03254791,0.0016346144,0.001115362,0.0007922462,0.00025412536,0.24967726],"genre_scores_gemma":[0.8227382,0.17268042,0.0002662536,0.000218547,0.00023360719,0.00024631608,0.00027994625,0.00002825485,0.0033084964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997962,0.00005639362,0.0009537317,0.000619821,0.00007353828,0.00033453948],"domain_scores_gemma":[0.9987948,0.0001056722,0.00030280033,0.000706263,0.000025626448,0.00006485917],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018077556,0.0002754643,0.00062102475,0.0006119782,0.000084225576,0.00026879486,0.00046257148,0.00044856287,0.00026854206],"category_scores_gemma":[0.000060211038,0.0002219489,0.00038717187,0.00015785401,0.00005477874,0.000083956445,0.0004989102,0.0008108228,0.0013557833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026023959,0.00011733579,0.00005046971,0.00015079784,0.00008777423,0.00001250777,0.00033342588,0.0001092778,8.5018974e-7,0.9945922,0.004208102,0.00033465863],"study_design_scores_gemma":[0.00013892687,0.000022522707,0.001240738,0.00013517118,0.000062625906,0.000015590791,0.0006895822,0.0032293103,8.1703934e-7,0.8027614,0.19130124,0.00040211293],"about_ca_topic_score_codex":0.0007141731,"about_ca_topic_score_gemma":0.007621619,"teacher_disagreement_score":0.7716256,"about_ca_system_score_codex":0.00025268193,"about_ca_system_score_gemma":0.000060510974,"threshold_uncertainty_score":0.9994218},"labels":[],"label_agreement":null},{"id":"W4402713215","doi":"10.1093/rfs/hhae054","title":"Duration-Based Valuation of Corporate Bonds","year":2024,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Duration (music); Bond; Economics; Monetary economics; Financial economics; Business; Econometrics; Finance; Physics","score_opus":0.1319838568719228,"score_gpt":0.30144643639002466,"score_spread":0.16946257951810187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402713215","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022343567,0.9751064,0.00029401822,0.00084994227,0.00021229,0.00015835077,0.00006822656,0.000011949464,0.0009552336],"genre_scores_gemma":[0.36706343,0.6319823,0.00025668216,0.00022680001,0.00006491299,0.000026941514,0.000024529665,0.0000068352288,0.00034757057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895597,0.000011990599,0.00075756194,0.00015570676,0.00004534069,0.00007341832],"domain_scores_gemma":[0.99922365,0.000053473028,0.00048724678,0.000120711746,0.00010158477,0.000013346037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063182943,0.000083831794,0.0005475738,0.00012842877,0.000035301604,0.0000069368166,0.00006016645,0.000026773132,0.00008775039],"category_scores_gemma":[0.00038074466,0.00007414333,0.00019704843,0.0004956097,0.000075937634,0.00007837223,0.000016903463,0.000037449954,0.00010321394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030580547,0.00003933959,0.002185883,0.009209872,0.00012827409,0.0000014544254,0.0001691006,0.000019618688,0.000025494575,0.9762054,0.00751833,0.00449419],"study_design_scores_gemma":[0.0007096783,0.0006518399,0.04534213,0.026137846,0.00081733306,0.0000014327403,0.000079601545,0.012156416,0.0022484823,0.68748546,0.22344758,0.0009222198],"about_ca_topic_score_codex":0.000026712047,"about_ca_topic_score_gemma":0.000010730309,"teacher_disagreement_score":0.34471986,"about_ca_system_score_codex":0.000037913345,"about_ca_system_score_gemma":0.000042279284,"threshold_uncertainty_score":0.30234775},"labels":[],"label_agreement":null},{"id":"W4402964291","doi":"10.3390/jrfm17100438","title":"Exploring the Usefulness of Real Options Theory for Foreign Affiliate Divestments: Real Abandonment Options’ Applications","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Divestment; Abandonment (legal); Business; Finance; Political science; Law","score_opus":0.0526108112524931,"score_gpt":0.23372813856843241,"score_spread":0.18111732731593932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402964291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6316989,0.05662699,0.3038627,0.00037954492,0.001189665,0.001480272,0.0006402695,0.000038687074,0.0040829596],"genre_scores_gemma":[0.72734165,0.26931342,0.002264117,0.000023585962,0.0002829332,0.0002801177,0.000010775578,0.000016266347,0.00046712285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988509,0.00002337071,0.00070065825,0.00019377947,0.000070801114,0.00016050771],"domain_scores_gemma":[0.99918985,0.00013320748,0.00039827928,0.00018335244,0.0000418889,0.000053414697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010654121,0.00012482585,0.000305104,0.00035553536,0.00024131683,0.0000840206,0.00017898937,0.000031879383,0.000017294462],"category_scores_gemma":[0.00002146596,0.00009452089,0.00029419514,0.00029571372,0.00008835601,0.0003108659,0.00007184629,0.000118457574,0.00000916681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045942725,0.00009398364,0.0010012733,0.000073929376,0.0001839831,0.00000293734,0.0008679172,0.0003243773,0.0000023765365,0.97700185,0.00020068366,0.02020073],"study_design_scores_gemma":[0.00083621417,0.0002173132,0.07489207,0.000102670994,0.00055844075,0.000004586933,0.0015587584,0.0010164696,0.000046169793,0.85736173,0.06317901,0.0002265415],"about_ca_topic_score_codex":0.00006863859,"about_ca_topic_score_gemma":0.000013545652,"teacher_disagreement_score":0.30159858,"about_ca_system_score_codex":0.00006993421,"about_ca_system_score_gemma":0.000012078148,"threshold_uncertainty_score":0.385445},"labels":[],"label_agreement":null},{"id":"W4403573647","doi":"10.48550/arxiv.2410.11262","title":"Unveiling Options with Neural Decomposition","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Illinois Department of Commerce and Economic Opportunity","keywords":"Decomposition; Artificial neural network; Computer science; Artificial intelligence; Chemistry","score_opus":0.07634811858340806,"score_gpt":0.1830183862442521,"score_spread":0.10667026766084403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403573647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800739,0.0050988495,0.0040273834,0.00021119238,0.00044859067,0.00017107396,0.00016201158,0.0001416239,0.009665333],"genre_scores_gemma":[0.9902407,0.0016520126,0.00022159534,0.000057365218,0.00010664297,0.000001422754,0.00012965097,0.000028893784,0.0075617335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987417,0.000014303258,0.00024044399,0.0007740739,0.000015396387,0.00021410988],"domain_scores_gemma":[0.9992177,0.000020414396,0.00020900837,0.000420426,0.000032704713,0.000099728364],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011348269,0.00022698133,0.00035247437,0.00048390878,0.000121662444,0.00013805376,0.00026023047,0.00017650654,0.00033041716],"category_scores_gemma":[0.0000041699445,0.0002562578,0.00029908598,0.00046179094,0.000084150495,0.00012858938,0.00037362415,0.00046039894,0.001261795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014457583,0.00004752249,0.0025572798,0.00004868281,0.00025251484,0.000100366466,0.00010305754,0.16136353,0.0000042266406,0.8352581,0.00023654153,0.000013691581],"study_design_scores_gemma":[0.00024697548,0.00004937173,0.0014489121,0.00006429298,0.000215739,0.0000039109245,0.00008924974,0.57808363,0.000021251752,0.4186452,0.0006781063,0.0004533497],"about_ca_topic_score_codex":0.0003894564,"about_ca_topic_score_gemma":0.00012443178,"teacher_disagreement_score":0.41672012,"about_ca_system_score_codex":0.00020871255,"about_ca_system_score_gemma":0.000027816304,"threshold_uncertainty_score":0.999989},"labels":[],"label_agreement":null},{"id":"W4403963467","doi":"10.2139/ssrn.5005505","title":"A One-Step Approach for Determining the Optimal Aggregate Capital Reserve and Allocation","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aggregate (composite); Capital (architecture); Capital allocation line; Economics; Microeconomics; Geography","score_opus":0.03270907292178061,"score_gpt":0.24015014924522454,"score_spread":0.20744107632344394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403963467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6947079,0.28614625,0.014759932,0.002133592,0.00048648432,0.0006865222,0.00011348752,0.000037933158,0.000927917],"genre_scores_gemma":[0.9332013,0.06059058,0.0021147986,0.000079568235,0.00070979714,0.00011725321,0.0001255175,0.000067527806,0.0029936607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99748635,0.000028151762,0.00066195737,0.00054898934,0.00007354315,0.001201002],"domain_scores_gemma":[0.9989223,0.000049764207,0.0005848739,0.00030115282,0.000066947825,0.00007495026],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022751754,0.00026520714,0.00047927283,0.00031804317,0.00029251273,0.0005280099,0.00042483758,0.00023157065,0.000009008015],"category_scores_gemma":[0.00007530361,0.00023028257,0.0004290307,0.0001323209,0.000087339315,0.00012137465,0.00038395452,0.0024329452,0.00002464456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003367903,0.00006770197,0.00067550107,0.00010054745,0.0011911149,6.5584845e-7,0.00084490376,0.00072052923,0.00000281004,0.9930746,0.00015975162,0.0031282317],"study_design_scores_gemma":[0.00045711975,0.00017803827,0.00028309127,0.000040973377,0.0002356,0.000028586319,0.000938947,0.112011604,0.000008262584,0.8849272,0.00054593105,0.00034465297],"about_ca_topic_score_codex":0.00025863806,"about_ca_topic_score_gemma":0.00039166136,"teacher_disagreement_score":0.23849341,"about_ca_system_score_codex":0.0006726478,"about_ca_system_score_gemma":0.000412339,"threshold_uncertainty_score":0.99986845},"labels":[],"label_agreement":null},{"id":"W4406731253","doi":"10.1111/fire.12428","title":"Real options investments: Lessons from the US shale gas industry","year":2025,"lang":"en","type":"article","venue":"Financial Review","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"West Virginia Science and Research, West Virginia Higher Education Policy Commission; University of Alberta; West Virginia Higher Education Policy Commission; State Council of Higher Education for Virginia","keywords":"Investment (military); Business; Return on investment; Natural gas; Petroleum industry; Finance; Natural resource economics; Economics; Production (economics); Engineering; Waste management; Environmental engineering","score_opus":0.048290318143401914,"score_gpt":0.28976586271977767,"score_spread":0.24147554457637577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406731253","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053628698,0.89629424,0.000053936816,0.018341752,0.0005458398,0.00043610955,0.00052024523,0.00004059423,0.030138565],"genre_scores_gemma":[0.017844995,0.9600449,0.00026010696,0.013411454,0.00025491012,0.00015318679,0.00017904674,0.000015229821,0.007836144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987418,0.000033361943,0.0006049268,0.00035281404,0.000040890878,0.00022622792],"domain_scores_gemma":[0.9991178,0.00006413086,0.0002433788,0.00048657655,0.00002839608,0.000059705144],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036034206,0.00016109203,0.00050129276,0.0000806112,0.0002350617,0.000059855633,0.00036269077,0.0001706983,0.0007028715],"category_scores_gemma":[0.0003359593,0.00013283284,0.00028986612,0.0007069854,0.000085019456,0.0001311871,0.00011394424,0.00034341065,0.0009836069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012673559,0.000046584235,0.010428726,0.000045784866,0.000048101272,0.0000018955407,0.000029926683,0.0000016618504,9.839075e-7,0.9027193,0.08497894,0.0016967818],"study_design_scores_gemma":[0.00016961363,0.000011013163,0.10099289,0.00058732636,0.000109759094,4.0446824e-7,0.000008601732,0.0000795383,0.0000060291154,0.18085593,0.7170046,0.00017430252],"about_ca_topic_score_codex":0.0023001584,"about_ca_topic_score_gemma":0.00024770916,"teacher_disagreement_score":0.7218634,"about_ca_system_score_codex":0.00009729084,"about_ca_system_score_gemma":0.00008743165,"threshold_uncertainty_score":0.99979424},"labels":[],"label_agreement":null},{"id":"W4407106450","doi":"10.2139/ssrn.5121679","title":"December Effect in Option Returns","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics","score_opus":0.0066554353431143584,"score_gpt":0.2212796065015521,"score_spread":0.21462417115843774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407106450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9081053,0.07914473,0.0012923,0.0010766634,0.00030658816,0.00009887467,0.0000021948356,0.0000146664015,0.009958689],"genre_scores_gemma":[0.961584,0.031124162,0.00002708529,0.00013434832,0.000071798255,0.0000060714387,0.000004137683,0.000008322981,0.007040097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984412,0.000026041544,0.00039126244,0.00018497808,0.000027061757,0.0009294486],"domain_scores_gemma":[0.9996603,0.000029925648,0.00014115305,0.00012530165,0.000012031713,0.000031264775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015010384,0.00010381857,0.00026173156,0.00049769727,0.00008200219,0.00006027857,0.00014702677,0.00007883946,0.000074863696],"category_scores_gemma":[0.00005519323,0.00010040457,0.00017197258,0.000441056,0.00002079784,0.00016987973,0.000022556198,0.0008271681,0.00018887986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002002048,0.000029685963,0.05007337,0.0000037584916,0.00010292905,0.0000015411355,0.00004857395,0.000059022354,0.000015335827,0.94845295,0.00018210462,0.0010107221],"study_design_scores_gemma":[0.00066689687,0.00009944676,0.008276405,0.000014460903,0.000016937656,0.000009742601,0.00012577913,0.0015141548,0.00004945427,0.9869975,0.0021141036,0.0001151436],"about_ca_topic_score_codex":0.00017516945,"about_ca_topic_score_gemma":0.0021426054,"teacher_disagreement_score":0.053478684,"about_ca_system_score_codex":0.00091583,"about_ca_system_score_gemma":0.00014850886,"threshold_uncertainty_score":0.40943795},"labels":[],"label_agreement":null},{"id":"W4407704913","doi":"10.1111/1756-2171.12492","title":"Information Disclosure in Preemption Races: Blessing or (Winner's) Curse?","year":2025,"lang":"en","type":"article","venue":"The RAND Journal of Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Labex Ecodec; Aalto-Yliopisto; Institut Henri Poincaré; Agence Nationale de la Recherche; European University Institute; Université de Pau et des Pays de l'Adour; Université de Montréal","keywords":"Blessing; Curse; Preemption; Winner's curse; Economics; Business; Computer science; Theology; Philosophy","score_opus":0.022600278810451947,"score_gpt":0.2270676351857018,"score_spread":0.20446735637524985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407704913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98516816,0.006244523,0.0010046473,0.0024723075,0.0005323343,0.00010329898,0.000015313339,0.0000035802923,0.004455817],"genre_scores_gemma":[0.98889184,0.009654255,0.00016985238,0.00030974942,0.000104732084,0.0000025164022,0.0000051067923,0.0000050446024,0.0008569181],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988074,0.000018329747,0.0009713481,0.00006332097,0.0000137286515,0.00012590278],"domain_scores_gemma":[0.99896175,0.000074865944,0.0007643398,0.00014234956,0.000027576836,0.000029126004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009892051,0.00009099834,0.00035044397,0.0004285208,0.000084691324,0.00015395,0.00020907774,0.00006308107,0.00009331927],"category_scores_gemma":[0.00005984085,0.000063290994,0.00015948249,0.00020739113,0.000050446386,0.0010021339,0.00002868103,0.00016575423,0.000050190298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009177468,0.00017422685,0.050875366,0.00009601984,0.00053282594,0.0000033617123,0.0054983133,0.039099444,0.000008510434,0.8882597,0.0023231672,0.012211338],"study_design_scores_gemma":[0.009558731,0.00024313683,0.04519682,0.0003671021,0.00020638059,0.000042820084,0.0049193325,0.078307666,0.00029642865,0.7494749,0.11077103,0.00061564957],"about_ca_topic_score_codex":0.000054451193,"about_ca_topic_score_gemma":0.00015144539,"teacher_disagreement_score":0.13878478,"about_ca_system_score_codex":0.00012405697,"about_ca_system_score_gemma":0.00004874516,"threshold_uncertainty_score":0.25809318},"labels":[],"label_agreement":null},{"id":"W4407875231","doi":"10.2139/ssrn.5147887","title":"What is the Role of the Options Market? Evidence from Newly Public Companies","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Accounting","score_opus":0.025491796666856564,"score_gpt":0.23336813204154136,"score_spread":0.2078763353746848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407875231","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1309783,0.8454169,0.0002953927,0.019568438,0.001465745,0.00025151542,0.00018257867,0.000013497713,0.001827653],"genre_scores_gemma":[0.47084594,0.5225588,0.00003973359,0.00022704012,0.00020294018,0.000019137577,0.000007809644,0.000011081521,0.0060875034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99759966,0.000111338726,0.0008210738,0.00038873724,0.000120449295,0.00095874607],"domain_scores_gemma":[0.99776644,0.00019753582,0.0010581112,0.00082086015,0.00010472513,0.00005234811],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015291518,0.0002472347,0.00053818454,0.0002584903,0.00039584906,0.000638633,0.0015752492,0.0001695462,0.0005003795],"category_scores_gemma":[0.00011950234,0.00016745742,0.00085006637,0.00038575399,0.00016665692,0.0005583946,0.000639571,0.0026383467,0.000043274442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013953382,0.00006235017,0.011352762,0.000011717358,0.0014570942,1.5628676e-7,0.0009580817,0.00031975564,0.0000052522337,0.98235285,0.0009620448,0.0025039495],"study_design_scores_gemma":[0.000119494696,0.00002250672,0.0066072703,0.00019721323,0.00014978499,0.0000044605094,0.0030974436,0.0044837664,0.000026292282,0.97534055,0.009766878,0.00018432926],"about_ca_topic_score_codex":0.002367112,"about_ca_topic_score_gemma":0.002982289,"teacher_disagreement_score":0.33986765,"about_ca_system_score_codex":0.00073735695,"about_ca_system_score_gemma":0.0011434396,"threshold_uncertainty_score":0.9996626},"labels":[],"label_agreement":null},{"id":"W4408295013","doi":"10.3390/jrfm18030144","title":"Exploring Parallel Compound Real Options in MNCs International Transactions","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Business; Computer science; Finance","score_opus":0.04239608332229591,"score_gpt":0.23185941172907204,"score_spread":0.18946332840677613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408295013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8026082,0.014855855,0.16043814,0.0013513364,0.0026222535,0.00022729168,0.00006486868,0.000016112748,0.017815957],"genre_scores_gemma":[0.7965201,0.20008643,0.002602547,0.00005331966,0.00007371375,0.000009708365,0.0000021525725,0.000003981254,0.0006480286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99915576,0.000009869849,0.00055857806,0.00012699237,0.00003977235,0.00010903329],"domain_scores_gemma":[0.9996115,0.00002344028,0.00023024614,0.000078034696,0.000023075894,0.000033677876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003453316,0.00007841333,0.00023888225,0.0007815587,0.00008980679,0.000054726283,0.00012272985,0.000030087622,0.00003959549],"category_scores_gemma":[0.000015193367,0.000082241924,0.00013065366,0.00029932914,0.00003120379,0.00031035783,0.000022590395,0.00015588995,0.000008945892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062909254,0.00020747558,0.024596177,0.000018031411,0.00011219564,0.000033941724,0.0006823129,0.002492102,9.4197685e-7,0.9476878,0.00028994004,0.023816139],"study_design_scores_gemma":[0.0019569017,0.00006495006,0.6520216,0.00009192075,0.000101321806,0.000005027679,0.0009628972,0.002629256,0.0000034235488,0.21296817,0.12898768,0.00020685706],"about_ca_topic_score_codex":0.00024319482,"about_ca_topic_score_gemma":0.00018592848,"teacher_disagreement_score":0.73471963,"about_ca_system_score_codex":0.00008700013,"about_ca_system_score_gemma":0.000008185931,"threshold_uncertainty_score":0.33537284},"labels":[],"label_agreement":null},{"id":"W4409705386","doi":"10.3390/jrfm18050225","title":"Economic Viability and Flexibility of the South Pasopati Coal Project, Indonesia: A Real Options Approach Under Market Volatility and Carbon Pricing","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Coal; Flexibility (engineering); Carbon market; Economics; Business; Natural resource economics; Industrial organization; Financial economics; Waste management; Greenhouse gas; Engineering","score_opus":0.014322459222003713,"score_gpt":0.21680847319058014,"score_spread":0.20248601396857643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409705386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906708,0.0045248917,0.0016697627,0.00008538289,0.00014278112,0.0003278727,0.00005136769,0.0000037694103,0.0025233869],"genre_scores_gemma":[0.9919724,0.0072848615,0.0005625295,0.000019371068,0.000036442187,0.000006464845,8.5907084e-7,0.000004615815,0.00011249827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987648,0.000063720836,0.00072610105,0.00026757564,0.000044970555,0.00013279125],"domain_scores_gemma":[0.999057,0.000055823133,0.000604439,0.00021733799,0.000026348122,0.00003903555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012349493,0.00013112859,0.0004557458,0.0002453449,0.0001518877,0.000046038473,0.000110769,0.00007217658,0.0000036317576],"category_scores_gemma":[0.00004622441,0.00010330585,0.00012721303,0.00019941985,0.0002032491,0.000109539826,0.00018184006,0.00018253291,1.0615316e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011035791,0.00011775145,0.8920596,0.00015123103,0.000096671094,5.9408427e-7,0.0008584276,0.00016434983,7.164598e-7,0.10419516,0.000049365826,0.0021957725],"study_design_scores_gemma":[0.000643076,0.00005052989,0.9359647,0.0000246561,0.00014796855,0.0000015286807,0.0006432074,0.012801391,0.0000034355437,0.049287304,0.00033789815,0.00009429887],"about_ca_topic_score_codex":0.00076126703,"about_ca_topic_score_gemma":0.00015033018,"teacher_disagreement_score":0.054907862,"about_ca_system_score_codex":0.00009649633,"about_ca_system_score_gemma":0.000036018133,"threshold_uncertainty_score":0.42126903},"labels":[],"label_agreement":null},{"id":"W4410324177","doi":"10.2139/ssrn.5250754","title":"Litigation Risk and the Valuation of Legal Claims: A Real Option Approach","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Valuation (finance); Actuarial science; Valuation of options; Financial economics; Economics; Business; Finance","score_opus":0.012303471218738728,"score_gpt":0.21300826546313933,"score_spread":0.2007047942444006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410324177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8912527,0.047418106,0.052516893,0.001021131,0.00012239967,0.00019480864,0.0000083365185,0.000009840763,0.007455814],"genre_scores_gemma":[0.90291005,0.09535238,0.00013451846,0.000026070487,0.00006385125,0.0000065407203,0.0000085189495,0.0000042289507,0.0014938231],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990115,0.00005978669,0.0004007979,0.00013274905,0.000041071475,0.00035406352],"domain_scores_gemma":[0.99941933,0.000038432005,0.00038361052,0.000104008126,0.000037524394,0.000017103339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028556932,0.00006968321,0.00020148278,0.0001988512,0.00017839365,0.000060339167,0.00009276298,0.000050540064,0.0000058514165],"category_scores_gemma":[0.000055153334,0.000053632397,0.00012659906,0.00023999237,0.00009632356,0.00018758838,0.000017483375,0.0004627689,0.0000048867737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044534234,0.000025371264,0.0051638507,0.0000044384556,0.00017038074,2.8489541e-8,0.00021774745,0.0001692068,0.0000062324148,0.9920218,0.00001571758,0.0021606784],"study_design_scores_gemma":[0.0010088909,0.00004746597,0.0060233683,0.0000048668417,0.00007418659,0.0000063119564,0.0007640813,0.033803448,0.000015243286,0.95799905,0.00019960957,0.000053472788],"about_ca_topic_score_codex":0.00088237994,"about_ca_topic_score_gemma":0.00019755942,"teacher_disagreement_score":0.052382376,"about_ca_system_score_codex":0.00023773655,"about_ca_system_score_gemma":0.00015579142,"threshold_uncertainty_score":0.21870656},"labels":[],"label_agreement":null},{"id":"W4410859734","doi":"10.3390/jrfm18060297","title":"Sophisticated Capital Budgeting Decisions for Financial Performance and Risk Management—A Tale of Two Business Entities","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital budgeting; Business; Finance; Project appraisal","score_opus":0.010377898380744788,"score_gpt":0.2120109167446546,"score_spread":0.20163301836390982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410859734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9222036,0.014823146,0.060265955,0.0000713033,0.00059639465,0.0002864102,0.0001549816,0.0000074980862,0.0015907106],"genre_scores_gemma":[0.88284564,0.10848103,0.0075782957,0.000041980536,0.000113590104,0.000014435456,0.0000071556265,0.000011079637,0.0009067848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984723,0.000015418724,0.000949988,0.0002568574,0.000075778924,0.0002296958],"domain_scores_gemma":[0.99866575,0.0000994771,0.0008807213,0.00016206736,0.00013373555,0.00005827285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075087725,0.0001785254,0.0005573731,0.00080729596,0.00030916245,0.00007230244,0.00018418414,0.00006434137,0.00001402446],"category_scores_gemma":[0.00020030947,0.00017467784,0.00017693575,0.00049719296,0.00014231924,0.00023538464,0.00016246697,0.0001449451,0.0000037190123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021739413,0.00018420415,0.10541698,0.00032288898,0.00025187343,0.000012826165,0.0004300537,0.0001936245,0.0000022849626,0.8126754,0.0013987201,0.07889374],"study_design_scores_gemma":[0.0039855978,0.00022193634,0.6213433,0.00033135212,0.00086429325,0.000004803159,0.00045079304,0.0022082902,0.000036642105,0.3103852,0.059793472,0.00037428588],"about_ca_topic_score_codex":0.00009400131,"about_ca_topic_score_gemma":0.000043851025,"teacher_disagreement_score":0.51592636,"about_ca_system_score_codex":0.000044202254,"about_ca_system_score_gemma":0.000017587343,"threshold_uncertainty_score":0.71231556},"labels":[],"label_agreement":null},{"id":"W4411160386","doi":"10.54254/2754-1169/2025.bl23674","title":"Valuation Discrepancy of Coffee Chains in the US and China: A Capital Market Perspective","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Valuation (finance); Perspective (graphical); China; Financial economics; Business; Economics; Finance; Geography; Art","score_opus":0.011956972933789597,"score_gpt":0.2618829405509412,"score_spread":0.24992596761715158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411160386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77792174,0.015502695,0.00008174132,0.002715742,0.00009021415,0.0001945136,0.000015554582,0.0000030917477,0.20347472],"genre_scores_gemma":[0.98024076,0.01870389,0.00030298033,0.00024772118,0.0000138289415,0.000019761084,0.0000014686091,0.0000019063876,0.0004676698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909633,0.000022408783,0.00032896953,0.00030262946,0.00002396308,0.00022567385],"domain_scores_gemma":[0.99968594,0.0000932183,0.00009006421,0.00009963016,0.000005239715,0.000025884065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007152124,0.000086875305,0.00021309471,0.00033001142,0.00008204913,0.000064893386,0.00016471902,0.000024526531,0.000019912915],"category_scores_gemma":[0.000034426383,0.00007119108,0.0000368769,0.0002835822,0.00045918167,0.0003754277,0.000082305356,0.000053797692,0.0000015923337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005002569,0.0000371223,0.12362968,0.000016303602,0.000011623057,4.9942514e-7,0.00043513597,0.000046778634,3.7278056e-8,0.87512904,0.000006555921,0.0006822162],"study_design_scores_gemma":[0.0002091968,0.0000330567,0.27110225,0.000011852922,0.000007722922,2.771463e-7,0.002833159,0.010075834,0.0000013206908,0.71473694,0.0009204975,0.00006786728],"about_ca_topic_score_codex":0.0007185449,"about_ca_topic_score_gemma":0.0009969592,"teacher_disagreement_score":0.20300704,"about_ca_system_score_codex":0.000066645975,"about_ca_system_score_gemma":0.0000072100993,"threshold_uncertainty_score":0.2903088},"labels":[],"label_agreement":null},{"id":"W4411303738","doi":"10.2139/ssrn.5295316","title":"Interest Rate Uncertainty and the Investment/Financing Decisions","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Interest rate; Investment (military); Finance; Investment decisions; Business; Economics; Political science; Behavioral economics","score_opus":0.03020897172660926,"score_gpt":0.24215924152742163,"score_spread":0.21195026980081239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411303738","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45076302,0.5236703,0.0041703614,0.011050394,0.0017949725,0.00065948925,0.00014994072,0.000050571634,0.0076909303],"genre_scores_gemma":[0.61127084,0.37586236,0.000092225244,0.001137893,0.00028550153,0.000034676345,0.000029235445,0.00002247626,0.011264778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970186,0.00011454695,0.0009549573,0.0005214764,0.00005265918,0.0013378139],"domain_scores_gemma":[0.9982559,0.00029104535,0.0008160828,0.00048474918,0.000058794714,0.00009341104],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004485973,0.0003341227,0.0007915229,0.00046390377,0.00046291854,0.00036702098,0.00064122904,0.00022573081,0.00003748736],"category_scores_gemma":[0.00046438235,0.00024647365,0.00052535767,0.00025696363,0.0002470916,0.000116420306,0.0006659231,0.0035361138,0.000059407383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005478893,0.000028424129,0.0003833692,0.0000093208,0.00066855364,0.0000019537458,0.00029328838,0.0005081172,6.961689e-7,0.9967184,0.00036080924,0.000972297],"study_design_scores_gemma":[0.0011204937,0.000042011525,0.00024075447,0.00010355112,0.0001289567,0.000025828633,0.0005520428,0.0063658785,0.000002752473,0.9851671,0.00598921,0.00026144832],"about_ca_topic_score_codex":0.0011214879,"about_ca_topic_score_gemma":0.0035851004,"teacher_disagreement_score":0.16050781,"about_ca_system_score_codex":0.0010556156,"about_ca_system_score_gemma":0.00089380314,"threshold_uncertainty_score":0.99999875},"labels":[],"label_agreement":null},{"id":"W4413218296","doi":"10.2139/ssrn.5386554","title":"Evaluation Method of Option to Defer for Energy Infrastructure Construction -Binomial Option Pricing Model Combined with Monte Carlo Simulation","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Binomial options pricing model; Monte Carlo method; Valuation of options; Binomial (polynomial); Monte Carlo methods for option pricing; Trinomial tree; Computer science; Finite difference methods for option pricing; Econometrics; Binomial distribution; Economics; Black–Scholes model; Mathematics; Statistics","score_opus":0.023042992785534674,"score_gpt":0.27768993788744717,"score_spread":0.2546469451019125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413218296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16810995,0.003828258,0.8267759,0.00014110505,0.0003335511,0.0005959288,0.000089757385,0.000015654632,0.00010988532],"genre_scores_gemma":[0.9631716,0.0035404726,0.032429047,0.00003931669,0.00021022483,0.00008992674,0.00010666075,0.00002814965,0.000384623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763083,0.00008005468,0.0009270306,0.0005022331,0.00017821699,0.0006816391],"domain_scores_gemma":[0.997784,0.000055316872,0.0012587272,0.00026745335,0.0005707828,0.000063720116],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026018007,0.00028772466,0.0006604091,0.00088133797,0.00017054968,0.000092134724,0.00020120083,0.00032700723,0.000009777633],"category_scores_gemma":[0.00011009754,0.00029064956,0.00033072205,0.000288818,0.000027855373,0.00022510058,0.00007715577,0.00079867995,9.3533026e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023996712,0.000020848638,0.00018770913,0.00002189241,0.00043294142,3.000552e-8,0.00016091396,0.6303993,0.00002009012,0.3603485,0.0000065216686,0.008161305],"study_design_scores_gemma":[0.00075213716,0.00019762407,0.00010728553,0.000037457947,0.00030527596,0.0000034200057,0.00013016898,0.5556026,0.000053237527,0.4426187,0.000029665063,0.0001623954],"about_ca_topic_score_codex":0.00033921597,"about_ca_topic_score_gemma":0.00065126026,"teacher_disagreement_score":0.79506165,"about_ca_system_score_codex":0.0026442485,"about_ca_system_score_gemma":0.001282296,"threshold_uncertainty_score":0.9999546},"labels":[],"label_agreement":null},{"id":"W4413288158","doi":"10.2139/ssrn.5386005","title":"Evaluation Method of Option to Defer for Energy Infrastructure Construction -Binomial Option Pricing Model Combined with Monte Carlo Simulation","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Monte Carlo method; Binomial options pricing model; Binomial (polynomial); Computer science; Binomial distribution; Negative binomial distribution; Valuation of options; Econometrics; Mathematics; Statistics; Poisson distribution","score_opus":0.023042992785534674,"score_gpt":0.27768993788744717,"score_spread":0.2546469451019125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413288158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16810995,0.003828258,0.8267759,0.00014110505,0.0003335511,0.0005959288,0.000089757385,0.000015654632,0.00010988532],"genre_scores_gemma":[0.9631716,0.0035404726,0.032429047,0.00003931669,0.00021022483,0.00008992674,0.00010666075,0.00002814965,0.000384623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763083,0.00008005468,0.0009270306,0.0005022331,0.00017821699,0.0006816391],"domain_scores_gemma":[0.997784,0.000055316872,0.0012587272,0.00026745335,0.0005707828,0.000063720116],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026018007,0.00028772466,0.0006604091,0.00088133797,0.00017054968,0.000092134724,0.00020120083,0.00032700723,0.000009777633],"category_scores_gemma":[0.00011009754,0.00029064956,0.00033072205,0.000288818,0.000027855373,0.00022510058,0.00007715577,0.00079867995,9.3533026e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023996712,0.000020848638,0.00018770913,0.00002189241,0.00043294142,3.000552e-8,0.00016091396,0.6303993,0.00002009012,0.3603485,0.0000065216686,0.008161305],"study_design_scores_gemma":[0.00075213716,0.00019762407,0.00010728553,0.000037457947,0.00030527596,0.0000034200057,0.00013016898,0.5556026,0.000053237527,0.4426187,0.000029665063,0.0001623954],"about_ca_topic_score_codex":0.00033921597,"about_ca_topic_score_gemma":0.00065126026,"teacher_disagreement_score":0.79506165,"about_ca_system_score_codex":0.0026442485,"about_ca_system_score_gemma":0.001282296,"threshold_uncertainty_score":0.9999546},"labels":[],"label_agreement":null},{"id":"W4413306442","doi":"10.3390/jrfm18080459","title":"The Integration of Value-at-Risk in Assessing ESG-Based Collaborative Synergies in Cross-Border Acquisitions: Real Options Approach","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Business; Value creation; Risk analysis (engineering); Process management; Computer science; Industrial organization","score_opus":0.011467940059647293,"score_gpt":0.2910368057573756,"score_spread":0.2795688656977283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413306442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94501865,0.02515132,0.024097785,0.00018176509,0.00023743327,0.00023523206,0.000048293266,0.000003991581,0.005025514],"genre_scores_gemma":[0.932155,0.06442321,0.0030016464,0.00003258998,0.000028044979,0.000017663206,0.00000578513,0.0000050147373,0.0003310126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99872416,0.00006476802,0.00086178724,0.00015669427,0.000058008725,0.00013457291],"domain_scores_gemma":[0.9988931,0.00013084768,0.00074631337,0.0001306003,0.00007762064,0.0000215319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010542362,0.00010539921,0.0003417131,0.00072273123,0.00023923197,0.00013254641,0.00011217766,0.000063918524,0.000006470617],"category_scores_gemma":[0.0001630775,0.000084931125,0.00011315529,0.0009650439,0.00012444227,0.0002524531,0.000055131768,0.00018383523,0.0000010088231],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014845209,0.0002735974,0.19009593,0.000038409846,0.00006668588,0.000008416587,0.0009103138,0.021957835,0.0000037499522,0.77274084,0.0001568489,0.013598938],"study_design_scores_gemma":[0.0013884405,0.00006972426,0.9027126,0.0001122854,0.00007185559,6.1479943e-7,0.0020676034,0.014052918,0.000027117441,0.07605176,0.0033196663,0.0001254229],"about_ca_topic_score_codex":0.00043591415,"about_ca_topic_score_gemma":0.0005063014,"teacher_disagreement_score":0.7126167,"about_ca_system_score_codex":0.00017179405,"about_ca_system_score_gemma":0.000039174938,"threshold_uncertainty_score":0.34633908},"labels":[],"label_agreement":null},{"id":"W4413788566","doi":"10.2139/ssrn.5397063","title":"Evaluating Real Estate Development Project with Monte Carlo Based Binomial Options Pricing Model","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Monte Carlo method; Binomial options pricing model; Binomial (polynomial); Econometrics; Real estate; Computer science; Trinomial tree; Valuation of options; Markov chain Monte Carlo; Economics; Mathematics; Statistics; Finance","score_opus":0.04680205990503866,"score_gpt":0.2896510402022045,"score_spread":0.24284898029716584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413788566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96592075,0.004519749,0.024014251,0.00041101305,0.00009782409,0.00026766278,0.000008117098,0.000039073733,0.004721559],"genre_scores_gemma":[0.96892285,0.0153759075,0.009632445,0.00008545487,0.000068515175,0.000040534986,0.000010283352,0.000027555496,0.005836469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776864,0.000027243566,0.00059981487,0.00032174087,0.00008359972,0.0011989846],"domain_scores_gemma":[0.9993359,0.000026233132,0.00034360468,0.00017224875,0.00007129798,0.00005073696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017778435,0.00018515103,0.0003242857,0.0006118525,0.00044734354,0.00012892317,0.00020178426,0.00006148768,0.000010864534],"category_scores_gemma":[0.000030667812,0.00016731553,0.00013981157,0.0004924854,0.00003551992,0.00021327117,0.000033359844,0.0007294213,0.000018575862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019174539,0.00020518582,0.013963381,0.000028222303,0.0010247082,0.000004685343,0.0013835523,0.2857409,0.000083244166,0.6834966,0.0001000905,0.013777667],"study_design_scores_gemma":[0.0016855678,0.0002539333,0.001201458,0.000048865495,0.00010421297,0.000014166222,0.00090861745,0.9344996,0.000077986835,0.060365174,0.00047075067,0.00036962418],"about_ca_topic_score_codex":0.00089476496,"about_ca_topic_score_gemma":0.003751743,"teacher_disagreement_score":0.6487587,"about_ca_system_score_codex":0.0017289227,"about_ca_system_score_gemma":0.0031952,"threshold_uncertainty_score":0.68229294},"labels":[],"label_agreement":null},{"id":"W4414257700","doi":"10.3390/jrfm18090513","title":"Financial Options Pricing: A Bibliometric Study and Cluster Analysis of Global Research Trends","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Citation analysis; Investment (military); Co-citation; Cluster (spacecraft); Field (mathematics)","score_opus":0.034719380717314924,"score_gpt":0.30949790261911564,"score_spread":0.27477852190180074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414257700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97121125,0.021861864,0.0042490875,0.000183933,0.0002107079,0.00015821774,0.00007335695,0.0000042074407,0.0020473925],"genre_scores_gemma":[0.97814333,0.02065375,0.0005468471,0.000052177114,0.000058475274,0.0000066234534,0.000002272129,0.0000044376393,0.00053208193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982245,0.00007402547,0.001020368,0.00029351056,0.00014612473,0.00024145363],"domain_scores_gemma":[0.9988754,0.0001027517,0.0005706018,0.00021748152,0.00016102128,0.00007277535],"candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.002434913,0.00014081426,0.000760252,0.037418213,0.00022015131,0.00010847893,0.00021129654,0.00007866409,0.000031256703],"category_scores_gemma":[0.00026846703,0.00013063887,0.00029387706,0.060722876,0.00011788014,0.00018597815,0.00023315624,0.00022683054,0.0000027613055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110957175,0.00058845803,0.66240036,0.00003151991,0.00085802533,0.000015877322,0.00044075682,0.00018032812,3.022346e-7,0.27574724,0.0014831625,0.058143],"study_design_scores_gemma":[0.0011271553,0.0003319871,0.9489628,0.000019571811,0.0011732229,9.370087e-7,0.00042086042,0.0009446037,6.780061e-7,0.040178385,0.00672803,0.0001117554],"about_ca_topic_score_codex":0.00044340178,"about_ca_topic_score_gemma":0.00048663863,"teacher_disagreement_score":0.28656244,"about_ca_system_score_codex":0.00010789416,"about_ca_system_score_gemma":0.000024323033,"threshold_uncertainty_score":0.97349185},"labels":[],"label_agreement":null},{"id":"W4415043667","doi":"10.1016/j.ejor.2025.10.007","title":"Robust valuation and optimal harvesting of forestry resources in the presence of catastrophe risk and parameter uncertainty","year":2025,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Valuation (finance); Lease; Convenience yield; Estimation theory; Stochastic differential equation; Stochastic modelling; Poisson distribution; Kalman filter; Present value","score_opus":0.11878446205745734,"score_gpt":0.30791835786065774,"score_spread":0.1891338958032004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415043667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931546,0.004423431,0.0006590748,0.000614976,0.00001596618,0.00009080791,0.000020380667,4.3291405e-7,0.0010203202],"genre_scores_gemma":[0.9959453,0.0010217212,0.002805167,0.000017453951,0.00003143083,0.0000014691959,0.0000031619943,0.0000034885668,0.00017085313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858475,0.0005023682,0.0005654491,0.00011081724,0.00014047674,0.00009613908],"domain_scores_gemma":[0.9986229,0.00077165326,0.00024601788,0.00011987845,0.00021168744,0.000027885533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00728386,0.00004891022,0.00016117682,0.00035297708,0.00009688919,0.00010299563,0.00023237344,0.000014057631,0.000026747837],"category_scores_gemma":[0.002826697,0.000035657395,0.000039999555,0.00029751027,0.00022286567,0.0002046827,0.000096806325,0.00025307975,0.0000015916446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032641817,0.00026785996,0.67149276,0.0001223906,0.00023761345,0.000026053218,0.007718904,0.19197716,0.00051441207,0.11886452,0.0022467112,0.006205209],"study_design_scores_gemma":[0.00066698284,0.00031662482,0.89465207,0.00011723309,0.000015370144,0.000008458737,0.0016765277,0.09054013,0.00007866421,0.011373856,0.00049031206,0.000063736916],"about_ca_topic_score_codex":0.00032837244,"about_ca_topic_score_gemma":0.000024067982,"teacher_disagreement_score":0.22315936,"about_ca_system_score_codex":0.00001744474,"about_ca_system_score_gemma":0.000036886984,"threshold_uncertainty_score":0.33840245},"labels":[],"label_agreement":null},{"id":"W4415256320","doi":"10.2139/ssrn.5605230","title":"Market Structure, Trading Frictions, and the Profitability of Market Making in Index Options","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Profitability index; Index (typography); Algorithmic trading; Market microstructure; Order (exchange); High-frequency trading; Property market","score_opus":0.011789000973274967,"score_gpt":0.23234820460726752,"score_spread":0.22055920363399256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415256320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50117344,0.47421694,0.004612013,0.0030631316,0.0015401557,0.0016565063,0.0005712105,0.000017616445,0.013149007],"genre_scores_gemma":[0.7350581,0.26111755,0.00014352295,0.000035581652,0.00014412943,0.000027596368,0.000009260958,0.000018544846,0.0034456556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99429774,0.000434019,0.002428538,0.0008106086,0.00014502657,0.0018840509],"domain_scores_gemma":[0.99684006,0.00039773545,0.0019483714,0.000626835,0.00010559713,0.00008142746],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00889887,0.0005050274,0.0014806858,0.0014318944,0.00050489703,0.000266447,0.00072429876,0.00047281504,0.0008576263],"category_scores_gemma":[0.00033605442,0.00044991658,0.0007752345,0.0010172812,0.00047873173,0.00030979386,0.00040863652,0.005852919,0.0000015277245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039073467,0.00012840127,0.14331655,0.00015343938,0.0013770523,9.184275e-7,0.00078240875,0.00040358445,7.538722e-7,0.8514157,0.00012576689,0.0019047223],"study_design_scores_gemma":[0.0017873384,0.00005643166,0.06490086,0.00018599597,0.00025121748,0.000051161187,0.0023194307,0.07927236,0.000001654018,0.8504081,0.00040667006,0.00035878073],"about_ca_topic_score_codex":0.00085959537,"about_ca_topic_score_gemma":0.0044081197,"teacher_disagreement_score":0.23388472,"about_ca_system_score_codex":0.0022714136,"about_ca_system_score_gemma":0.0015097811,"threshold_uncertainty_score":0.99979526},"labels":[],"label_agreement":null},{"id":"W4415446069","doi":"10.5430/ijfr.v16n3p31","title":"Optimal Leverage of Commercial Real Estate Investments: A Trade Off Option Theoretic Approach","year":2025,"lang":"","type":"article","venue":"International Journal of Financial Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Real estate; Downside risk; Valuation of options; Loan-to-value ratio; Real estate investment trust; Loan; Financial risk; Operating leverage; Geometric Brownian motion","score_opus":0.06380751587886865,"score_gpt":0.3471608141039006,"score_spread":0.28335329822503197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415446069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524058,0.008121704,0.002738118,0.0029508506,0.0023746272,0.00038514077,0.00036651513,0.00000552492,0.030651717],"genre_scores_gemma":[0.87353796,0.12247244,0.0018116408,0.00014401034,0.00063994504,0.00001218798,0.00003937453,0.000025507028,0.0013169582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9949894,0.00040838541,0.0026537469,0.00048097427,0.00086125894,0.00060621544],"domain_scores_gemma":[0.99631524,0.0005021601,0.0015082682,0.00034734502,0.0011112434,0.0002157263],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006077532,0.00030926446,0.0010304211,0.0032610968,0.00023515712,0.0002909149,0.0016600171,0.00033597543,0.00020867614],"category_scores_gemma":[0.0016252436,0.00032990688,0.0008365795,0.0012863304,0.0009358703,0.0006692559,0.00038412216,0.0013022083,0.000032402604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023308056,0.0020900934,0.0077209454,0.00013246574,0.0011513185,0.00011442761,0.0032985143,0.0024687506,0.00019479939,0.88350606,0.0041003805,0.09289143],"study_design_scores_gemma":[0.011252535,0.002697861,0.6608572,0.0012978375,0.00039943686,0.00009142082,0.001406992,0.068139076,0.0023866508,0.20595524,0.044338156,0.001177611],"about_ca_topic_score_codex":0.0006750317,"about_ca_topic_score_gemma":0.000036409387,"teacher_disagreement_score":0.67755085,"about_ca_system_score_codex":0.00093162374,"about_ca_system_score_gemma":0.001001282,"threshold_uncertainty_score":0.9999153},"labels":[],"label_agreement":null},{"id":"W4415545979","doi":"10.1016/j.jcorpfin.2025.102912","title":"Interest rate uncertainty and the investment/financing decisions","year":2025,"lang":"en","type":"article","venue":"Journal of Corporate Finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Shenzhen University; National Natural Science Foundation of China","keywords":"Mean reversion; Interest rate; Volatility (finance); Leverage (statistics); Debt; Investment (military); Investment decisions; Present value; Rendleman–Bartter model","score_opus":0.05711359828640228,"score_gpt":0.2361345129622242,"score_spread":0.17902091467582193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415545979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94697356,0.043187503,0.0015636797,0.004649181,0.00066379155,0.00012570081,0.0000142750205,0.0000061490487,0.0028161348],"genre_scores_gemma":[0.972492,0.021622933,0.00054898515,0.0016641354,0.00006956501,0.0000053521157,0.000001735417,0.00000827313,0.0035870415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986136,0.00004811002,0.0009520154,0.00018136516,0.00003573089,0.00016920571],"domain_scores_gemma":[0.9977054,0.00027498452,0.0016234586,0.00024080799,0.00011102969,0.00004429315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014729794,0.0001412211,0.00055645383,0.00030472482,0.00017475878,0.0001181712,0.00028852167,0.000060460352,0.000018550485],"category_scores_gemma":[0.00045148862,0.00009719195,0.00021430214,0.00055279216,0.00028690923,0.00024865643,0.00008975313,0.00025102697,0.000033404638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012243142,0.00003284143,0.0027878077,0.0000062146214,0.00009035856,0.000013574469,0.00014514936,0.0004631726,0.000024020144,0.99169445,0.003965923,0.0006540327],"study_design_scores_gemma":[0.002062544,0.00007532845,0.016834823,0.00016284088,0.000051513514,0.000015611504,0.00009938335,0.0060763694,0.00014087577,0.926132,0.048202932,0.00014572754],"about_ca_topic_score_codex":0.000058717786,"about_ca_topic_score_gemma":0.000054536576,"teacher_disagreement_score":0.06556242,"about_ca_system_score_codex":0.000069200694,"about_ca_system_score_gemma":0.00006688789,"threshold_uncertainty_score":0.39633727},"labels":[],"label_agreement":null},{"id":"W4415672639","doi":"10.2139/ssrn.5631472","title":"Geopolitical Risk and the Collapse of the Option to Wait *","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Geopolitics; Investment (military); Value (mathematics); Political risk; Politics; Jump diffusion; Option value","score_opus":0.009274794206541771,"score_gpt":0.21456136146596064,"score_spread":0.20528656725941888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415672639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85297304,0.12880446,0.0032776024,0.008634382,0.0009718961,0.0006389181,0.0002476628,0.000011833486,0.0044401768],"genre_scores_gemma":[0.90205,0.0901116,0.000050483242,0.00020854721,0.00019357019,0.00001533129,0.0000033501185,0.000009507898,0.0073576183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982072,0.00008345808,0.00060544355,0.00025714844,0.0000645868,0.00078216614],"domain_scores_gemma":[0.99890274,0.00008899452,0.0005353205,0.00036325085,0.000052612133,0.000057091172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023244326,0.0001613151,0.0004767825,0.00020146187,0.00024080435,0.000095412695,0.00046425586,0.0001458865,0.00003016345],"category_scores_gemma":[0.00021704701,0.00010092795,0.00042522186,0.00021639817,0.00017620921,0.00003751162,0.00040476644,0.001920031,0.000018903298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003970111,0.00002244304,0.0029556437,0.000011049777,0.00036935916,1.0284609e-7,0.00024238515,0.00033261834,2.9488763e-7,0.99556386,0.000120424986,0.0003420949],"study_design_scores_gemma":[0.0005398542,0.000037362064,0.0023124479,0.000028542947,0.00015407632,0.000009325063,0.00034941488,0.0027936886,0.000008576942,0.99186563,0.0017840577,0.00011704524],"about_ca_topic_score_codex":0.0014428832,"about_ca_topic_score_gemma":0.0010233283,"teacher_disagreement_score":0.04907693,"about_ca_system_score_codex":0.0004970858,"about_ca_system_score_gemma":0.00050767226,"threshold_uncertainty_score":0.8341687},"labels":[],"label_agreement":null},{"id":"W4416001690","doi":"10.5465/amproc.2025.357bp","title":"Modeling Optimal FSA Recombination Decisions Using Real Options Theory","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Corporate governance; Transaction cost; Perspective (graphical); Mode (computer interface); Process (computing); Database transaction; Value (mathematics)","score_opus":0.05906336476649569,"score_gpt":0.2852257644560451,"score_spread":0.22616239968954938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416001690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91516834,0.005185922,0.019753113,0.0013163083,0.00014120442,0.00039676297,0.00001332588,0.000075940414,0.057949048],"genre_scores_gemma":[0.9651258,0.01591536,0.012723915,0.00022381505,0.000033347125,0.000026520656,0.0000072309913,0.000015410664,0.005928602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987179,0.00000447957,0.0006398942,0.0003680701,0.000061957755,0.00020771386],"domain_scores_gemma":[0.99960315,0.000027357351,0.00022350223,0.00007232764,0.000034111694,0.000039536284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085831765,0.0001322328,0.00028483427,0.00087471696,0.00017851089,0.000064829524,0.00028872638,0.000111584646,0.00007246943],"category_scores_gemma":[0.000045788907,0.00015074344,0.00015760568,0.00068615354,0.000049886763,0.00048232937,0.00018670001,0.00014242031,0.00003321711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013778251,0.00006401267,0.0008811051,0.00003910274,0.00018674109,1.390543e-7,0.00012903189,0.0045758346,0.000038182377,0.99265075,0.00039923692,0.0010220688],"study_design_scores_gemma":[0.00034297106,0.000012680153,0.0018058408,0.0000791625,0.0001092719,2.828662e-7,0.00056519377,0.3794892,0.00010694034,0.616079,0.0012567083,0.00015272734],"about_ca_topic_score_codex":0.00004294522,"about_ca_topic_score_gemma":3.7967882e-7,"teacher_disagreement_score":0.37657177,"about_ca_system_score_codex":0.00010510706,"about_ca_system_score_gemma":0.000004069832,"threshold_uncertainty_score":0.61471385},"labels":[],"label_agreement":null},{"id":"W4417216721","doi":"10.65301/aimt.2019.8.i.ii.726","title":"The Uncertainty-Investment Relationship with Endogenous Investment Size","year":2025,"lang":"","type":"article","venue":"AIMT Journal of Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Volatility (finance); Investment (military); Production (economics); Measure (data warehouse); Function (biology); Interest rate","score_opus":0.027788106799796517,"score_gpt":0.2197049104855805,"score_spread":0.19191680368578398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417216721","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12431468,0.43316913,0.0024938358,0.040265456,0.0053079776,0.00279865,0.00007015649,0.000043633063,0.39153647],"genre_scores_gemma":[0.87555563,0.07036887,0.001764961,0.005673411,0.00023071854,0.000056189954,0.000006844046,0.000045042165,0.046298303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958369,0.0001540601,0.002466002,0.0005218028,0.00032698954,0.00069421413],"domain_scores_gemma":[0.9955732,0.00071646104,0.002335849,0.00090739265,0.0002105048,0.00025659043],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024777115,0.0004906067,0.00090358336,0.0007743522,0.00106233,0.0005878217,0.0009947129,0.00013460749,0.00019598874],"category_scores_gemma":[0.0001730601,0.00035967326,0.00066080183,0.0013018587,0.00040953606,0.00035028777,0.00029208997,0.00057099765,0.00016338954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023771476,0.00048099976,0.008933867,0.00013185627,0.005024162,0.0001552634,0.0005918009,0.0055533303,0.0000013056144,0.9645662,0.0123321265,0.0019914173],"study_design_scores_gemma":[0.0044803973,0.0011931639,0.034799498,0.0005229542,0.0020834317,0.000048099453,0.0041314242,0.0020218592,0.000051699084,0.44246882,0.50748944,0.0007091916],"about_ca_topic_score_codex":0.000108840366,"about_ca_topic_score_gemma":0.00009511732,"teacher_disagreement_score":0.75124097,"about_ca_system_score_codex":0.0010288677,"about_ca_system_score_gemma":0.00015878539,"threshold_uncertainty_score":0.9998855},"labels":[],"label_agreement":null},{"id":"W44725546","doi":"10.1007/978-3-642-04107-5_28","title":"Correcting the Bias in Monte Carlo Estimators of American-style Option Values","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Estimator; Monte Carlo method; Curse of dimensionality; Quasi-Monte Carlo method; Mathematics; Sample (material); Statistics; Econometrics; Applied mathematics; Hybrid Monte Carlo; Markov chain Monte Carlo; Physics","score_opus":0.053321192816238434,"score_gpt":0.23764078228933172,"score_spread":0.1843195894730933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W44725546","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12752523,0.02672492,0.00017032189,0.00050629565,0.0004737609,0.00046735833,0.000098786666,0.000065589215,0.84396774],"genre_scores_gemma":[0.54425514,0.0053045005,0.00056582096,0.00021057583,0.000103987666,0.0000069042903,0.000020580552,0.00004242049,0.44949007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986863,0.0000074579893,0.0007640836,0.00032713218,0.00005073367,0.00016425918],"domain_scores_gemma":[0.9986519,0.00009051057,0.0008795247,0.00031853924,0.00002384188,0.00003566463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036479742,0.00022007954,0.00070455787,0.0004598947,0.000052444946,0.00003904315,0.00019179922,0.00011740771,0.00024790995],"category_scores_gemma":[0.000046740308,0.00018072707,0.00032870966,0.00012546933,0.0001442642,0.000084061394,0.000041621417,0.00022411019,0.00015855125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000111342315,0.000037312424,0.0063505797,0.000015845837,0.00016851065,0.000004266546,0.0007398015,0.0015559947,6.095149e-7,0.9722423,0.0009113441,0.017962331],"study_design_scores_gemma":[0.0012030072,0.0007761123,0.023161368,0.00046653798,0.00038406873,0.000027263168,0.002067848,0.16901518,0.00012928239,0.7236453,0.07636762,0.0027564035],"about_ca_topic_score_codex":0.00445029,"about_ca_topic_score_gemma":0.0007024088,"teacher_disagreement_score":0.4167299,"about_ca_system_score_codex":0.000106331514,"about_ca_system_score_gemma":0.000010898211,"threshold_uncertainty_score":0.7369836},"labels":[],"label_agreement":null},{"id":"W6884446521","doi":"10.1021/es302549d.s001","title":"Predicting Project Environmental Performance under\\nMarket Uncertainties: Case Study of Oil Sands Coke","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Oil sands; Natural gas; Production (economics); Present value; Life cycle costing; Net present value; Life cycle inventory","score_opus":0.05562843643596833,"score_gpt":0.22946904790793493,"score_spread":0.1738406114719666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884446521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9464596,0.0013656674,3.4552014e-7,0.0000167874,0.00004430492,0.00013236268,0.049557168,0.000023367536,0.0024003796],"genre_scores_gemma":[0.9954576,0.00028533058,0.000007913695,0.000026412854,0.000058527283,0.000093244154,0.0015137441,0.000018216573,0.0025390284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897444,0.000014769288,0.00044201716,0.00030975297,0.00005577822,0.00020321942],"domain_scores_gemma":[0.99926853,0.000077684825,0.0003159134,0.00028036622,0.000011118844,0.000046383062],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010581742,0.0001430917,0.0002819401,0.00018006236,0.00011705151,0.000027081793,0.00014936611,0.00006109216,0.03729753],"category_scores_gemma":[0.00007384799,0.00011418689,0.00010505558,0.0001539854,0.000017506996,0.00024372185,0.000105575455,0.000065905915,0.00049806153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012290357,0.0021006274,0.9133002,0.00055449945,0.0011218708,0.0003835244,0.0114255715,0.0002469043,0.000082323255,0.0006768244,0.058143128,0.011841619],"study_design_scores_gemma":[0.03383492,0.011772681,0.45404205,0.0062843203,0.0006862249,0.0015321175,0.1679352,0.10828618,0.0030592673,0.002319874,0.20191039,0.008336771],"about_ca_topic_score_codex":0.00027664474,"about_ca_topic_score_gemma":0.00009697436,"teacher_disagreement_score":0.45925814,"about_ca_system_score_codex":0.00009870797,"about_ca_system_score_gemma":0.000014384147,"threshold_uncertainty_score":0.9635825},"labels":[],"label_agreement":null},{"id":"W6887774596","doi":"10.17605/osf.io/h5amx","title":"Children’s Implicit Gender-Toy Stereotype Development Varies Across Cultures","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stereotype (UML); Perception; Implicit knowledge; Stereotype threat; Affect (linguistics)","score_opus":0.03268468465734094,"score_gpt":0.24914979359392833,"score_spread":0.21646510893658738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6887774596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81822705,0.0001846514,0.0019461968,0.00091129536,0.00025159738,0.0006430508,0.00013502421,0.00020168533,0.17749947],"genre_scores_gemma":[0.95603013,0.00080966373,0.0018413252,0.0011276198,0.0002101956,0.00010683962,0.00009779602,0.000051297873,0.03972514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99641544,0.00006225468,0.00093338336,0.0019233609,0.00011932478,0.00054625276],"domain_scores_gemma":[0.9977363,0.0000626649,0.0004191251,0.0013993182,0.000059321206,0.00032332173],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012510698,0.0003462337,0.0006220206,0.00010103778,0.00036229915,0.00031441267,0.00093121105,0.00020173677,0.15620913],"category_scores_gemma":[0.00051238656,0.0003825697,0.00030147255,0.00031363076,0.00013078931,0.0003297302,0.0011895387,0.00034297936,0.66989297],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016330132,0.0005574583,0.73287857,0.00014868537,0.0019834675,0.000022816324,0.04105392,0.0012848736,0.00066171633,0.17599338,0.038347457,0.0069043306],"study_design_scores_gemma":[0.0013462406,0.0000039673596,0.63244027,0.00002255793,0.00008358368,0.000020216,0.00081091165,0.0015193308,0.007157567,0.03826127,0.31694406,0.0013900198],"about_ca_topic_score_codex":0.00031327302,"about_ca_topic_score_gemma":0.00006591946,"teacher_disagreement_score":0.51368386,"about_ca_system_score_codex":0.00018302801,"about_ca_system_score_gemma":0.000052496012,"threshold_uncertainty_score":0.9998626},"labels":[],"label_agreement":null},{"id":"W6890060425","doi":"10.34675/l37111","title":"Sale of 25% interest in a company and a joint venture, including property, assets, shareholding interest and rights, with royalty on the production and sale of coal, petroleum, natural gas and coal bed methane from a resource area in Sydney, Nova Scotia.","year":2019,"lang":"en","type":"article","venue":"RoyaltyStat Library","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Joint (building); Coal; Natural gas; Natural (archaeology)","score_opus":0.057063671045077535,"score_gpt":0.21753760594627453,"score_spread":0.160473934901197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890060425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841777,0.014029105,0.0000014885863,0.00085524603,0.0000675123,0.00039559617,0.00016533442,0.000012516421,0.00029550487],"genre_scores_gemma":[0.99871796,0.00071957405,0.00013974361,0.00007347398,0.000027305383,0.000007676489,0.00008125993,0.000024483636,0.0002085295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855894,0.00007004797,0.0005854463,0.0005220988,0.000055858884,0.00020758159],"domain_scores_gemma":[0.99913394,0.00014986923,0.00039251748,0.00024140278,0.0000104991495,0.00007177297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032358733,0.0002216524,0.0006758641,0.00046852868,0.00004449176,0.0000969918,0.000112200745,0.00007785491,0.00005708188],"category_scores_gemma":[0.000049251474,0.00014594059,0.00004381856,0.00021596115,0.00019921064,0.00043284736,0.00026982962,0.0003055563,0.0000021332232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061092805,0.00022226444,0.98196805,0.0003367336,0.00017395144,0.000014666755,0.0020893347,0.000092331466,0.0006843517,0.012966651,0.00073067605,0.00011005176],"study_design_scores_gemma":[0.004048618,0.0011484157,0.94060916,0.004414364,0.00008819715,0.0000345191,0.0026786872,0.029464893,0.0053873854,0.009898717,0.0013830214,0.0008440207],"about_ca_topic_score_codex":0.0023393398,"about_ca_topic_score_gemma":0.0023197972,"teacher_disagreement_score":0.0413589,"about_ca_system_score_codex":0.000034168257,"about_ca_system_score_gemma":0.000016496686,"threshold_uncertainty_score":0.5951285},"labels":[],"label_agreement":null},{"id":"W6907421053","doi":"10.24433/co.7099053.v1","title":"SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunication","year":2022,"lang":"en","type":"other","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Embedding; Similarity (geometry); Graph; Expression (computer science); Convolutional neural network; Matrix (chemical analysis); Representation (politics); Process (computing); Directed graph; Graphical model","score_opus":0.023557609362286843,"score_gpt":0.21374200460178697,"score_spread":0.19018439523950012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907421053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8096443,0.04555165,0.00096271303,0.00011643289,0.00048579279,0.001498528,0.013201105,0.000124628,0.12841488],"genre_scores_gemma":[0.52648103,0.009819045,0.021522313,0.00002250334,0.00010085312,0.000006980625,0.0037606556,0.0003628364,0.4379238],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985797,0.00007492194,0.00052563066,0.00045843003,0.00014233944,0.00021901654],"domain_scores_gemma":[0.9968709,0.00007516814,0.0020798147,0.00082157314,0.000070011505,0.00008256396],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063267903,0.00023953516,0.0007975904,0.0012395253,0.00022204562,0.000012289533,0.00075114757,0.0003953911,0.006487767],"category_scores_gemma":[0.000022778104,0.000334977,0.00062203064,0.0004696977,0.00015834311,0.00025281083,0.00029699146,0.00029179195,0.000038814094],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00159917,0.0038336085,0.5849732,0.0069324514,0.0027717645,0.000013309619,0.0129853375,0.0013690019,0.113502614,0.034972616,0.23683421,0.00021267614],"study_design_scores_gemma":[0.02942254,0.0027559693,0.09441518,0.0018736406,0.0039872094,0.000010996483,0.0217073,0.006782503,0.17908312,0.035421256,0.6191161,0.005424153],"about_ca_topic_score_codex":0.000532953,"about_ca_topic_score_gemma":0.0001372937,"teacher_disagreement_score":0.49055806,"about_ca_system_score_codex":0.00014320802,"about_ca_system_score_gemma":0.00003164352,"threshold_uncertainty_score":0.99991024},"labels":[],"label_agreement":null},{"id":"W6908616626","doi":"10.26190/unsworks/16648","title":"Market probability density functions and investor risk aversion for the australia-us dollar exchange rate.","year":2006,"lang":"en","type":"dissertation","venue":"UNSWorks (UNSW Sydney)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exchange rate; Risk aversion (psychology); Liberian dollar; Term (time); Us dollar","score_opus":0.028906068519114925,"score_gpt":0.22278103842473537,"score_spread":0.19387496990562045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908616626","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95415527,0.029296273,0.0013547875,0.00058488804,0.0032949226,0.00232462,0.001498223,0.00011502206,0.007375993],"genre_scores_gemma":[0.34985685,0.02320995,0.0014351214,0.00041063852,0.0016465413,0.0006951891,0.006695315,0.00020583095,0.61584455],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99778295,0.00006968884,0.00072532136,0.0008712968,0.00008135513,0.00046938384],"domain_scores_gemma":[0.9979301,0.0002978808,0.00085981644,0.00064362015,0.00011999768,0.0001486048],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012253331,0.0004437158,0.0007142864,0.0003598283,0.0008498788,0.00022975907,0.00026719106,0.00064229034,0.00084174593],"category_scores_gemma":[0.00025323234,0.00039260357,0.0005097324,0.0004959893,0.0001428244,0.00021460169,0.00005466638,0.0005076454,0.00014034762],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008632636,0.0006155327,0.14689545,0.0013034481,0.0019264098,0.000009570251,0.0019066595,0.00052188605,0.000023205199,0.085455544,0.75773925,0.002739755],"study_design_scores_gemma":[0.0019904193,0.0002668502,0.43138775,0.00016969067,0.0017276036,0.0000039097695,0.0011681597,0.015414087,0.000108754015,0.16177614,0.38412768,0.0018589613],"about_ca_topic_score_codex":0.004460919,"about_ca_topic_score_gemma":0.009864398,"teacher_disagreement_score":0.6084686,"about_ca_system_score_codex":0.00020290673,"about_ca_system_score_gemma":0.000040889834,"threshold_uncertainty_score":0.9998526},"labels":[],"label_agreement":null},{"id":"W6911863172","doi":"10.5281/zenodo.15045584","title":"FX Touch Option Explained","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"","keywords":"Cash; Asset (computer security); Payment; Cash flow","score_opus":0.03908373369329738,"score_gpt":0.2273194584413767,"score_spread":0.1882357247480793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6911863172","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13437028,0.0028860848,0.011897591,0.0037675216,0.00040492322,0.00051037816,0.00033167345,0.000874226,0.84495735],"genre_scores_gemma":[0.98316634,0.000849261,0.00028531754,0.0003398632,0.00009747026,6.5221194e-8,0.0009973523,0.00039459707,0.013869721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990767,0.00004323291,0.00029454567,0.00032446402,0.000048598326,0.00021240866],"domain_scores_gemma":[0.9993951,0.000012616345,0.00010087233,0.00031145377,0.00011108905,0.00006891733],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004605599,0.000090727706,0.00015984807,0.00042054424,0.0010537804,0.00048261377,0.00044903727,0.000053302654,0.010436719],"category_scores_gemma":[0.00027478157,0.0001058242,0.0000808872,0.0006407409,0.00006925921,0.00021551305,0.00036681013,0.00011941721,0.013783692],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002458342,0.00008699849,0.00002132686,0.000022205477,0.000067570545,0.0000022883846,0.000354115,0.000037167207,0.0003771504,0.885642,0.106198266,0.0071663354],"study_design_scores_gemma":[0.00034991337,0.000054438904,0.0012218154,0.000010661578,0.0000093498875,0.0000035918888,0.00017659894,0.0019060133,0.00023212156,0.023902802,0.9720046,0.0001280732],"about_ca_topic_score_codex":0.000037954374,"about_ca_topic_score_gemma":6.1346907e-7,"teacher_disagreement_score":0.86580634,"about_ca_system_score_codex":0.0001329659,"about_ca_system_score_gemma":0.0000011865066,"threshold_uncertainty_score":0.99046785},"labels":[],"label_agreement":null},{"id":"W6922144693","doi":"10.11575/prism/49431","title":"The impact of rising interest rates on the financial viability of renewable energy projects in Canada","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interest rate; Cash flow; Renewable energy; Payment; Discounted cash flow; Government (linguistics); Economic impact analysis; Real interest rate; Capital (architecture)","score_opus":0.058116137643792906,"score_gpt":0.2728109026077679,"score_spread":0.214694764963975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922144693","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16236363,0.016783291,0.0000027886108,0.00025758502,0.00040546042,0.0005520151,0.0007715477,9.640112e-7,0.81886274],"genre_scores_gemma":[0.7910046,0.0009601086,0.000024428125,0.000014503376,0.000058821523,0.000017818978,0.000018907163,0.0000641034,0.20783672],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990936,0.000027210572,0.00044206943,0.00026031522,0.000029995814,0.00014682613],"domain_scores_gemma":[0.999063,0.0000937635,0.00043377266,0.00037813577,0.0000105263125,0.0000207815],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040200376,0.00014042313,0.00043553507,0.00014314428,0.0000261802,0.000070018476,0.00044662695,0.00007429912,0.0024789541],"category_scores_gemma":[0.00009803862,0.000081675076,0.00014164609,0.0002871629,0.00006902636,0.00002824733,0.00012685102,0.000106828375,0.00003892466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016421289,0.000321751,0.020400142,0.000120684126,0.0011111336,0.000018903296,0.0012706856,0.001146708,0.00003037337,0.043464072,0.9237836,0.00816775],"study_design_scores_gemma":[0.0007419045,0.00040712077,0.0057107983,0.0010125679,0.00009883516,0.0000012910615,0.0012014665,0.008072544,0.0031366576,0.06073932,0.91791946,0.0009580111],"about_ca_topic_score_codex":0.9849386,"about_ca_topic_score_gemma":0.99137497,"teacher_disagreement_score":0.62864095,"about_ca_system_score_codex":0.00027861583,"about_ca_system_score_gemma":0.00043323165,"threshold_uncertainty_score":0.99843293},"labels":[],"label_agreement":null},{"id":"W6929938655","doi":"10.5281/zenodo.10252066","title":"Territórios em Foco: Pessoas, espaços e experiências.","year":2023,"lang":"pt","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Work (physics); Identification (biology); Process (computing); Term (time)","score_opus":0.04990227202856301,"score_gpt":0.23328628099205667,"score_spread":0.18338400896349366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929938655","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055038477,0.017404804,0.0012173638,0.0015184013,0.0019758632,0.0021449497,0.005478642,0.0038699273,0.9608862],"genre_scores_gemma":[0.05119463,0.02599122,0.00019400274,0.00048028282,0.0017458209,7.6880985e-7,0.006299531,0.031758476,0.88233525],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963418,0.00022895512,0.0009662201,0.0013355654,0.0002572392,0.0008702186],"domain_scores_gemma":[0.99743557,0.000046266978,0.0007312252,0.001155283,0.00023826267,0.00039338347],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011534898,0.0005335049,0.0008382211,0.0014863078,0.002161013,0.0020910231,0.0018359328,0.00043168204,0.18450579],"category_scores_gemma":[0.0007112651,0.0006514834,0.00044446494,0.0013426335,0.0002445365,0.0003270042,0.001731293,0.0006315137,0.23058952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004817481,0.0003105307,0.000021732436,0.00016379177,0.00061593007,0.000052695093,0.004569114,0.00002953754,0.00004039441,0.045060564,0.92559236,0.02349517],"study_design_scores_gemma":[0.00066741544,0.00018840702,0.0005960256,0.0001149268,0.00006512075,0.000021115313,0.0012747182,0.0013969061,0.000023217804,0.0008453479,0.9940709,0.0007359281],"about_ca_topic_score_codex":0.00023715045,"about_ca_topic_score_gemma":0.00003119929,"teacher_disagreement_score":0.078550935,"about_ca_system_score_codex":0.0005339573,"about_ca_system_score_gemma":0.0000059211047,"threshold_uncertainty_score":0.9995936},"labels":[],"label_agreement":null},{"id":"W6931889988","doi":"10.5281/zenodo.5639567","title":"cmu-delphi/covidcast-pnas: COVIDcast Papers and Code","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Code (set theory); Tracking (education); Program code; Tracking system; Source code","score_opus":0.05225904985836608,"score_gpt":0.2291308965889885,"score_spread":0.17687184673062242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931889988","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002859167,0.016681165,0.00021551496,0.0006664028,0.00018079924,0.00029832675,0.0021769023,0.0004369162,0.979058],"genre_scores_gemma":[0.016420458,0.035387773,0.0006097109,0.0009952564,0.0008757625,2.3772111e-7,0.011233923,0.012236791,0.9222401],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982844,0.00010194089,0.00040273045,0.00074600393,0.00010751647,0.0003574056],"domain_scores_gemma":[0.9988158,0.00001984891,0.00032464962,0.00054326537,0.00008610595,0.0002103733],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004916034,0.00025637023,0.00045072334,0.00058795576,0.00081290747,0.000793665,0.00057667575,0.00019905026,0.13075846],"category_scores_gemma":[0.00031081782,0.0002987941,0.00013535566,0.00048725156,0.00021841777,0.00008940629,0.0007945089,0.00028522083,0.009852178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001561164,0.000098628014,0.000020608119,0.0001574551,0.00029096898,0.000031651765,0.0005495925,0.0000064034275,0.00006379009,0.08732262,0.9066586,0.0047841053],"study_design_scores_gemma":[0.00038016605,0.00007080316,0.00015591401,0.0000594459,0.000023726752,0.00003175124,0.0002413788,0.00021758385,0.0000065287786,0.00066419406,0.9978084,0.0003401316],"about_ca_topic_score_codex":0.00016026413,"about_ca_topic_score_gemma":0.000013878612,"teacher_disagreement_score":0.12090629,"about_ca_system_score_codex":0.00012512757,"about_ca_system_score_gemma":0.0000033528352,"threshold_uncertainty_score":0.9999464},"labels":[],"label_agreement":null},{"id":"W6936274854","doi":"10.57912/23888493","title":"Management views on real options in capital budgeting","year":2023,"lang":"en","type":"preprint","venue":"American University Research Archive","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capital budgeting; Sample (material); Capital (architecture); Capital expenditure; Survey instrument","score_opus":0.11089844475940994,"score_gpt":0.3117855150231343,"score_spread":0.20088707026372435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6936274854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8245761,0.0006481825,0.00024521432,0.0013987746,0.00021234331,0.000940883,0.0014901635,0.000120118966,0.17036824],"genre_scores_gemma":[0.865248,0.10884088,0.0034648087,0.000060694692,0.00014655147,0.000026429805,0.00076518033,0.000066440916,0.021380985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976952,0.0002200284,0.0003493702,0.00094629254,0.00016095233,0.0006281378],"domain_scores_gemma":[0.9986224,0.0002566282,0.00025864175,0.00064554764,0.000034667635,0.0001821194],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010552108,0.00021068398,0.00055539375,0.0030359894,0.00026491794,0.00008219625,0.0007715738,0.00006838709,0.00009428802],"category_scores_gemma":[0.000053952805,0.0002683802,0.000294448,0.0011893881,0.0006388219,0.000074643285,0.0018352148,0.0011443608,0.0022585418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008812788,0.00023575105,0.020414693,0.00006014128,0.00034416994,0.0005412923,0.0033880405,0.0018849655,0.0000036839267,0.9670099,0.005091776,0.00093742897],"study_design_scores_gemma":[0.0009818944,0.0004772811,0.44130546,0.00030734937,0.00004695655,9.931412e-7,0.022599556,0.013890073,0.0000040101245,0.48778325,0.031474914,0.0011282553],"about_ca_topic_score_codex":0.04607385,"about_ca_topic_score_gemma":0.0070389085,"teacher_disagreement_score":0.47922668,"about_ca_system_score_codex":0.00067930325,"about_ca_system_score_gemma":0.000048669106,"threshold_uncertainty_score":0.9999768},"labels":[],"label_agreement":null},{"id":"W6946216345","doi":"10.34675/l29683","title":"Exclusive option to purchase the Astro 2006 mineral claims in British Columbia, with royalty due upon option exercise.","year":2019,"lang":"en","type":"article","venue":"RoyaltyStat Library","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Payment; Consumption (sociology); Liability; Indemnity","score_opus":0.006466127704422212,"score_gpt":0.17090238932560958,"score_spread":0.16443626162118738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6946216345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900167,0.005077704,0.00021040851,0.00083803735,0.00024447532,0.0008087717,0.00031984752,0.00006289213,0.0024211793],"genre_scores_gemma":[0.96142894,0.0013374524,0.0013496261,0.0007196122,0.0001638174,0.00013368453,0.00042222487,0.00006380337,0.034380816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983019,0.000031540698,0.0005614568,0.000584251,0.00008734006,0.0004334686],"domain_scores_gemma":[0.9991521,0.000028421224,0.00023096516,0.00041872083,0.000014673517,0.00015507314],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001791872,0.00017068176,0.00047650823,0.00021656846,0.00013399054,0.00064065115,0.0003004331,0.000113749535,0.0011788674],"category_scores_gemma":[0.0000055936116,0.000213722,0.0001455467,0.0006187618,0.00004460541,0.0008598355,0.00013935674,0.00020765216,0.00066913065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034642284,0.00062444614,0.89068854,0.00016280955,0.00016459376,0.00017506757,0.001344277,0.025225056,0.00006147467,0.04589742,0.024858594,0.01045129],"study_design_scores_gemma":[0.0037993034,0.00082834566,0.8494437,0.00058028096,0.00006068307,0.00003240546,0.0010645399,0.06132499,0.00005040482,0.045084793,0.03633116,0.0013994373],"about_ca_topic_score_codex":0.0066629336,"about_ca_topic_score_gemma":0.006064005,"teacher_disagreement_score":0.041244898,"about_ca_system_score_codex":0.00007049542,"about_ca_system_score_gemma":0.0000333718,"threshold_uncertainty_score":0.9999518},"labels":[],"label_agreement":null},{"id":"W6958304694","doi":"10.6084/m9.figshare.12874515.v1","title":"Additional file 11 of Gene coexpression clusters and putative regulatory elements underlying seed storage reserve accumulation in Arabidopsis","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Gene; Arabidopsis; Gene expression; Genome; Regulation of gene expression","score_opus":0.13789381442516083,"score_gpt":0.2769565579939888,"score_spread":0.13906274356882795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958304694","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03246484,0.0005520026,0.0000034846912,0.000098130346,0.000008771505,0.00013381134,0.9663305,0.000010937353,0.00039747998],"genre_scores_gemma":[0.3966344,0.000012271366,0.000510747,0.00017728486,0.00003011951,0.000094166346,0.6023509,0.000012167482,0.00017797622],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99924505,0.000016486443,0.0003456419,0.00023815173,0.00004903899,0.00010562501],"domain_scores_gemma":[0.9993519,0.00016310018,0.0003122927,0.0000856503,0.000027972163,0.00005906115],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000039422717,0.00008554108,0.00020168598,0.00013567711,0.0000457857,0.000024611823,0.00007577774,0.000059984188,0.5486657],"category_scores_gemma":[0.0004843015,0.00009794407,0.000061364575,0.00022317046,0.000009459998,0.00025056468,0.00006140317,0.00006521598,0.00021637637],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019745477,0.000034418197,0.002515392,0.000095062234,0.000045506633,0.0000042834863,0.0009118137,0.001414198,0.000039606457,0.0002560044,0.9945714,0.000092556205],"study_design_scores_gemma":[0.0015142414,0.00013258487,0.55997676,0.0009927906,0.000014515663,8.462848e-7,0.00092044706,0.3435112,0.00027483696,0.0033941786,0.088708825,0.00055878627],"about_ca_topic_score_codex":0.000032603308,"about_ca_topic_score_gemma":0.000026311713,"teacher_disagreement_score":0.90586257,"about_ca_system_score_codex":0.00005230942,"about_ca_system_score_gemma":0.000012725041,"threshold_uncertainty_score":0.45174688},"labels":[],"label_agreement":null},{"id":"W6969316838","doi":"10.5281/zenodo.7416077","title":"LivE!! ISU World Cup Short Track Speed Skating Almaty 2022-2023 Streaming Online Free","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"World class; Population; Track (disk drive); Recipe; Vitamin; World population","score_opus":0.0512189649624144,"score_gpt":0.23794987559374112,"score_spread":0.1867309106313267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969316838","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021167235,0.0061649005,0.00007424919,0.00034701446,0.00030969066,0.0005177599,0.0059328377,0.0008208466,0.98371595],"genre_scores_gemma":[0.004091124,0.0041052275,0.00046056957,0.00023904993,0.0009693105,1.5625713e-7,0.019341802,0.00838489,0.9624079],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977272,0.00013579658,0.0006271827,0.0008354258,0.00020244108,0.00047194795],"domain_scores_gemma":[0.9983561,0.00002989707,0.0004335563,0.000918512,0.000079150785,0.00018277329],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007650836,0.00031459224,0.00052896026,0.0013024337,0.0011604273,0.00058582047,0.001499624,0.00012873717,0.41684306],"category_scores_gemma":[0.00042042564,0.00038426247,0.00023105272,0.0011107236,0.00012508692,0.00016392348,0.0018018316,0.0005986275,0.01736543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014865472,0.00023894322,0.00010642891,0.00007880488,0.00027737697,0.000025489726,0.00040346012,0.00003625188,0.000017471175,0.017368142,0.9757409,0.0056918734],"study_design_scores_gemma":[0.00032885527,0.00008434466,0.0005306175,0.00004083926,0.000039498496,0.000010511021,0.0004949153,0.0012925942,0.0000038750372,0.0007093267,0.99604166,0.00042297962],"about_ca_topic_score_codex":0.00045388404,"about_ca_topic_score_gemma":0.000070827286,"teacher_disagreement_score":0.39947763,"about_ca_system_score_codex":0.0003481627,"about_ca_system_score_gemma":0.000004004335,"threshold_uncertainty_score":0.99986094},"labels":[],"label_agreement":null},{"id":"W6977064993","doi":"10.60692/vvywm-2g995","title":"Child disability and family-centred care in East Africa: Perspectives from a workshop with stakeholders and health practitioners","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Multidisciplinary approach; Government (linguistics); International Classification of Functioning, Disability and Health; Health care; Stigma (botany); Set (abstract data type); Social care; Social model of disability","score_opus":0.08140969059353215,"score_gpt":0.20652573768148305,"score_spread":0.1251160470879509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977064993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171317,0.004277497,0.00013255357,0.0007073818,0.0000617444,0.0003660033,0.0008791054,0.000037418537,0.0018251006],"genre_scores_gemma":[0.9996337,0.0000195263,0.00007540102,0.00007758217,0.000015432362,0.00006339746,0.000085627136,0.0000060024936,0.000023319397],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9991174,0.000030513114,0.00041679098,0.0002187409,0.00006286845,0.00015371836],"domain_scores_gemma":[0.99940866,0.000004894354,0.0003328146,0.00016594028,0.000018287396,0.000069388196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015070222,0.00011341093,0.00026844628,0.00019925446,0.00025081824,0.00013368117,0.00005350009,0.0000276443,0.00002893336],"category_scores_gemma":[0.000004519491,0.0001069141,0.00003489111,0.00026600127,0.00006201787,0.0005295788,0.00005417235,0.00011478291,0.000013200173],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054644825,0.00000773334,0.39142808,0.00006044394,0.00005089926,7.7660076e-7,0.602461,0.00024171273,8.461244e-9,0.0055724992,0.000031519154,0.00009073149],"study_design_scores_gemma":[0.00085849245,0.000044513235,0.21405159,0.00002771303,0.000007250767,0.0000028925047,0.78292567,0.0015155004,1.4933416e-7,0.0000174623,0.0004226509,0.00012610068],"about_ca_topic_score_codex":0.00045840428,"about_ca_topic_score_gemma":0.000027815253,"teacher_disagreement_score":0.18046473,"about_ca_system_score_codex":0.0004481691,"about_ca_system_score_gemma":0.0000145695885,"threshold_uncertainty_score":0.43598306},"labels":[],"label_agreement":null},{"id":"W6978075008","doi":"10.7939/r36w96q3f","title":"A real options-net present value approach to assessing land use change: A case study of afforestation in Canada","year":2015,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Land use; Afforestation; Value (mathematics); Land use, land-use change and forestry; Land-use planning","score_opus":0.06618381608813118,"score_gpt":0.21193530790280543,"score_spread":0.14575149181467426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6978075008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99586105,0.00015977786,0.000010804291,0.00012570588,0.000027695409,0.00021180412,0.00002147766,0.0000031379855,0.003578516],"genre_scores_gemma":[0.9981222,0.00009653487,0.0010661774,0.00001559995,0.000011706296,6.380151e-7,0.000041721825,0.0000053677527,0.00064003194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995245,0.000026138765,0.0001666333,0.00015794627,0.00003772691,0.00008707229],"domain_scores_gemma":[0.9995784,0.000046288966,0.00013507878,0.00014293694,0.00001172026,0.00008556114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059897247,0.000058955495,0.0002014105,0.00026511002,0.000029018012,0.00001888505,0.000096707685,0.000024672636,0.00002040327],"category_scores_gemma":[0.000009770408,0.00007184172,0.000028502967,0.0003186511,0.000015408552,0.00087304984,0.00008157674,0.000038977327,0.0000020084824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002984972,0.00034031906,0.95092565,0.000015684735,0.000052995412,0.000096450545,0.02290386,0.004116519,1.9433381e-7,0.020550232,0.00093465374,0.00003356893],"study_design_scores_gemma":[0.0027860543,0.00030095468,0.729182,0.000033254073,0.00007515588,0.000020843943,0.1201831,0.14365996,0.0000069717375,0.0018935244,0.0014482668,0.000409919],"about_ca_topic_score_codex":0.9924998,"about_ca_topic_score_gemma":0.88335353,"teacher_disagreement_score":0.22174369,"about_ca_system_score_codex":0.00008838947,"about_ca_system_score_gemma":0.00011159244,"threshold_uncertainty_score":0.29296204},"labels":[],"label_agreement":null},{"id":"W6980394935","doi":"","title":"California Honeydrops Live at Huck Finn Jubilee, Ontario, CA on 2019-09-28","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zoom; Sound (geography); Percussion; Open air","score_opus":0.007513108401670051,"score_gpt":0.16337186257314776,"score_spread":0.1558587541714777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980394935","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00069049065,0.0030265704,1.4220839e-7,0.0001656266,0.0005931457,0.0004933211,0.0019779196,0.00007853287,0.9929742],"genre_scores_gemma":[0.0004255947,0.0022633474,0.00021391928,0.00040353325,0.00017369604,0.000017874594,0.0010479463,0.00014512165,0.995309],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99792075,0.000022914073,0.0010696686,0.00041771142,0.0001698674,0.00039910647],"domain_scores_gemma":[0.99774706,0.0000695708,0.0013047707,0.0006557907,0.000072392,0.0001504225],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021334438,0.0004727817,0.00091335137,0.00024788224,0.000093895935,0.000075450414,0.0003869992,0.00057070947,0.7438071],"category_scores_gemma":[0.00005694038,0.00048991025,0.00041411148,0.000016609496,0.00011324895,4.974582e-7,0.00014205358,0.00035518475,0.5343548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063374304,0.00007522036,0.00013038279,0.00016346316,0.00023069845,0.000009843336,0.00025489653,0.00034719755,4.111272e-8,0.0008820808,0.99777293,0.000069854796],"study_design_scores_gemma":[0.0006016233,0.00019379707,0.00008471146,0.00012263929,0.00006262516,0.000011406897,0.000035358178,0.00007731024,0.0000023267678,0.000088443456,0.9981505,0.0005692359],"about_ca_topic_score_codex":0.16521688,"about_ca_topic_score_gemma":0.06720385,"teacher_disagreement_score":0.20945229,"about_ca_system_score_codex":0.00039135246,"about_ca_system_score_gemma":0.000039087972,"threshold_uncertainty_score":0.99975526},"labels":[],"label_agreement":null},{"id":"W6981497980","doi":"","title":"Embassy Office Parks REIT Announces Second Quarter FY 2019-20 Results; Reports Another Strong Quarter Of Leasing And A Quarterly Distribution Of Rs. 4,630 Million","year":2019,"lang":"en","type":"other","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Distribution (mathematics); Real estate investment trust; Real estate","score_opus":0.012256963404752907,"score_gpt":0.2063049765454183,"score_spread":0.1940480131406654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981497980","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051449943,0.064936124,0.0013606158,0.0005382123,0.0016186999,0.0012101395,0.008058757,0.00014886701,0.87067866],"genre_scores_gemma":[0.44767252,0.0013514458,0.00023432035,0.000051200353,0.00026535365,0.0000139862495,0.001608221,0.00019961238,0.54860336],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970034,0.00003662956,0.0016310931,0.0008807158,0.000119207354,0.00032900664],"domain_scores_gemma":[0.9969824,0.00006089667,0.0020808047,0.00074355584,0.000061329716,0.000071003946],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005613961,0.00041876067,0.0011996517,0.0005960983,0.00003794209,0.00010053861,0.00015183675,0.0004903801,0.0013496496],"category_scores_gemma":[0.000020678237,0.000387792,0.00037198124,0.00029173156,0.00017483428,0.00022230264,0.000028869363,0.00021801505,0.00021153524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011353728,0.00017838718,0.0048562246,0.00047946328,0.000804865,0.000012433103,0.0008587759,0.000008011265,0.0000687558,0.025030658,0.967314,0.00027488684],"study_design_scores_gemma":[0.00186769,0.00147784,0.009254827,0.0011717458,0.0004705983,0.000034872988,0.0022083877,0.0025513442,0.00017937597,0.006830194,0.972021,0.0019321548],"about_ca_topic_score_codex":0.002394137,"about_ca_topic_score_gemma":0.0017344985,"teacher_disagreement_score":0.3962226,"about_ca_system_score_codex":0.00006557715,"about_ca_system_score_gemma":0.00003436744,"threshold_uncertainty_score":0.9998574},"labels":[],"label_agreement":null},{"id":"W6983421428","doi":"","title":"$21.10 Million in Sales Expected for Capstone Turbine Corporation (CPST) This Quarter","year":2017,"lang":"en","type":"other","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Corporation; Turbine; Capstone; Aircraft industry","score_opus":0.036521123660499824,"score_gpt":0.23983313394735015,"score_spread":0.2033120102868503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983421428","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009936726,0.036945753,0.0008650308,0.00058998674,0.0010536661,0.00092083245,0.00050688576,0.00014138914,0.9579828],"genre_scores_gemma":[0.00532611,0.0040068747,0.00083992636,0.00007959958,0.0003915818,0.00009844226,0.0014769209,0.00016467371,0.9876159],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987627,0.000008084076,0.0004635857,0.0005058446,0.000035265555,0.00022446817],"domain_scores_gemma":[0.99862206,0.000019523857,0.0007736253,0.00050857593,0.000022693846,0.000053499],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016273806,0.00026119928,0.0006761488,0.00089286524,0.00006516954,0.00010273871,0.00021435827,0.00039125024,0.009653789],"category_scores_gemma":[0.000036983998,0.00025775458,0.00023921189,0.0001250946,0.00006209753,0.0001287102,0.000025196856,0.000104667,0.0019245499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014800742,0.000068838264,0.00092750177,0.000037554404,0.000099279445,0.0000020241098,0.00010486675,0.000001397816,0.000007671143,0.057483103,0.9411447,0.00010827843],"study_design_scores_gemma":[0.0009311026,0.00008162208,0.00062731025,0.000062692874,0.000032340307,5.5618403e-7,0.00004165928,0.002052975,0.000025688514,0.010073594,0.9855713,0.0004991348],"about_ca_topic_score_codex":0.0042755473,"about_ca_topic_score_gemma":0.0097179,"teacher_disagreement_score":0.04740951,"about_ca_system_score_codex":0.00009578144,"about_ca_system_score_gemma":0.000015343303,"threshold_uncertainty_score":0.9999875},"labels":[],"label_agreement":null},{"id":"W6983445569","doi":"","title":"$21.10 Million in Sales Expected for Capstone Turbine (CPST) This Quarter","year":2018,"lang":"en","type":"other","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Turbine; Work (physics); Capstone; Clothing","score_opus":0.02434893548268333,"score_gpt":0.22834752998569846,"score_spread":0.20399859450301513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983445569","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014193776,0.031523176,0.00032291817,0.00048456257,0.00083026214,0.00064123597,0.00032453096,0.00015484534,0.9642991],"genre_scores_gemma":[0.0012565927,0.0030476556,0.0012893002,0.00016376993,0.00062962447,0.0000911523,0.00063146267,0.00023605325,0.9926544],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846077,0.000008878131,0.00058478216,0.00059600215,0.000035768633,0.00031380545],"domain_scores_gemma":[0.9990846,0.000027444592,0.00037340133,0.0004237447,0.000022360602,0.00006843928],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001574004,0.00030285752,0.00075977854,0.0011586113,0.000035992696,0.00005170056,0.000213062,0.00042252694,0.06458427],"category_scores_gemma":[0.000027233727,0.00028968867,0.00030259875,0.00031308192,0.00008260805,0.00006450137,0.000033549488,0.00009154109,0.01036461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014062448,0.00008399941,0.0007321132,0.00003748879,0.00013572907,0.0000015032606,0.0001459459,3.2932672e-7,0.0000036617735,0.03417278,0.9646333,0.00003911816],"study_design_scores_gemma":[0.0007694213,0.00010637445,0.00028589065,0.000044940698,0.000028121138,5.520908e-7,0.0000798876,0.0008625301,0.000022849372,0.0065006353,0.99081,0.0004888416],"about_ca_topic_score_codex":0.0025100606,"about_ca_topic_score_gemma":0.004543297,"teacher_disagreement_score":0.054219656,"about_ca_system_score_codex":0.00009842007,"about_ca_system_score_gemma":0.000011911907,"threshold_uncertainty_score":0.99995553},"labels":[],"label_agreement":null},{"id":"W6986278413","doi":"","title":"An option contract framework for an economy based grid resource management system","year":2007,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Grid; Management system; Resource management (computing); Key (lock)","score_opus":0.022233723051223852,"score_gpt":0.22415432009116584,"score_spread":0.201920597039942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986278413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8203464,0.0031119487,0.11118827,0.00034827588,0.0015115591,0.002347095,0.0009848969,0.00028136472,0.059880182],"genre_scores_gemma":[0.9517851,0.00050287676,0.03718205,0.0001292688,0.00049983314,0.000008566031,0.0071283435,0.00010387679,0.0026600957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873734,0.000023580991,0.00030658612,0.00059232465,0.00006244111,0.00027774394],"domain_scores_gemma":[0.9983399,0.000050931492,0.00086411793,0.0005271408,0.00007576782,0.00014215219],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042495076,0.00025162476,0.0006130745,0.00078219606,0.0002805081,0.00007793946,0.00044297354,0.00041489938,0.000029548763],"category_scores_gemma":[0.0000056148483,0.00037359496,0.00036547173,0.00021053152,0.000043244283,0.00037981162,0.000017660299,0.0001892724,0.00008623085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004334825,0.0002764429,0.005204417,0.00090042,0.0004429081,0.00001820555,0.00040407383,0.0011991832,0.00000526622,0.98909724,0.0011764108,0.0008419311],"study_design_scores_gemma":[0.00503941,0.0016799426,0.23752126,0.0009894433,0.0017967,0.000002575899,0.2186904,0.3011476,0.00015700342,0.03187726,0.19804667,0.0030517133],"about_ca_topic_score_codex":0.0015156445,"about_ca_topic_score_gemma":0.046325505,"teacher_disagreement_score":0.95722,"about_ca_system_score_codex":0.00034114608,"about_ca_system_score_gemma":0.00001755324,"threshold_uncertainty_score":0.9998716},"labels":[],"label_agreement":null},{"id":"W6992001700","doi":"","title":"InterCon Travel Health: Case B","year":2010,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Information system; Officer; Discretion; Management information systems; Flexibility (engineering); Capital asset; Revenue","score_opus":0.021854566210434762,"score_gpt":0.2320914550557864,"score_spread":0.21023688884535163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992001700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8932481,0.004306224,0.011560448,0.018469647,0.03727052,0.0019451176,0.0011130944,0.000044811586,0.032042056],"genre_scores_gemma":[0.99766034,0.00005685662,0.00009412599,0.00028935508,0.0002351292,0.0000054203874,0.0000060542693,0.0000038661155,0.001648839],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986484,0.000015214485,0.0011294173,0.000033172324,0.000070388116,0.0001033823],"domain_scores_gemma":[0.99586123,0.00006191474,0.003718473,0.00010225519,0.00020985657,0.000046282137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021576332,0.00005489706,0.00024783742,0.00020592785,0.00014505077,0.00017081776,0.00013572884,0.00007363572,0.000009767792],"category_scores_gemma":[0.0003446388,0.00004119668,0.00026201323,0.0001466669,0.0000071484264,0.0008881601,0.000011828586,0.00016107668,0.00006150699],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000145181,0.000038644605,0.016948154,0.000069388356,0.00028325804,6.7251864e-7,0.0057548727,0.00033498427,0.000025805124,0.93777233,0.038289882,0.0004674989],"study_design_scores_gemma":[0.0023882762,0.00018571918,0.012348874,0.000053921904,0.000056766687,0.000587087,0.0050896825,0.01874807,0.00014185066,0.01170398,0.9484083,0.0002874544],"about_ca_topic_score_codex":0.00015806229,"about_ca_topic_score_gemma":0.000042646785,"teacher_disagreement_score":0.92606837,"about_ca_system_score_codex":0.00025755606,"about_ca_system_score_gemma":0.000030104784,"threshold_uncertainty_score":0.16799517},"labels":[],"label_agreement":null},{"id":"W6993043423","doi":"","title":"Norsk Hydro: Third quarter 2020 - Strong cash generation, improving markets - Commodities (COMMODIT) News","year":2020,"lang":"en","type":"other","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cash; Quarter (Canadian coin); Payment; Revenue","score_opus":0.027782281610571745,"score_gpt":0.20534818537528018,"score_spread":0.17756590376470843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6993043423","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041887493,0.019947233,0.0017128035,0.0018812638,0.0011527903,0.00042289766,0.0009664186,0.0002761125,0.9732216],"genre_scores_gemma":[0.017889332,0.003941464,0.0018615916,0.0019682946,0.0038417766,0.00007212795,0.0014413156,0.0005069547,0.96847713],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978358,0.00003483598,0.00085158634,0.0008005504,0.00008240239,0.00039479948],"domain_scores_gemma":[0.9984367,0.000029112614,0.000699769,0.0006295675,0.00001549449,0.00018936553],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016612576,0.00049519347,0.0009905342,0.000391303,0.00014464791,0.00033684354,0.00041950154,0.00038750182,0.015320391],"category_scores_gemma":[0.000024738363,0.0005118477,0.00043838428,0.00024090176,0.00009059167,0.00016945477,0.00014603486,0.00033981,0.0032585945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032111,0.000029851199,0.0015463169,0.000048058973,0.00028155185,0.000009010296,0.00014499968,0.000008670668,0.0000029578136,0.089199744,0.9085861,0.00013951471],"study_design_scores_gemma":[0.00056434725,0.00007897782,0.0002929324,0.000025496389,0.000107469714,0.0000030538656,0.00027402618,0.03138121,0.000019029305,0.0036155125,0.96253324,0.0011047008],"about_ca_topic_score_codex":0.008547537,"about_ca_topic_score_gemma":0.007217288,"teacher_disagreement_score":0.08558423,"about_ca_system_score_codex":0.000112360365,"about_ca_system_score_gemma":0.000032692187,"threshold_uncertainty_score":0.9997333},"labels":[],"label_agreement":null},{"id":"W7001177025","doi":"","title":"Impact of a carbon market on afforestation incentives : a real option approach","year":2006,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Afforestation; Profitability index; Revenue; Incentive; Carbon sequestration; Carbon credit; Carbon offset; Opportunity cost; Agriculture","score_opus":0.004660855499681783,"score_gpt":0.14620301835581156,"score_spread":0.14154216285612978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001177025","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02963774,0.0016909332,0.000018046576,0.00005659524,0.00007414765,0.00017138773,0.0012694336,0.000007739515,0.967074],"genre_scores_gemma":[0.6510574,0.0032330137,0.00041486317,0.000035207264,0.00007855332,0.000009419625,0.00013290852,0.00009423922,0.3449444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99883324,0.00002298751,0.00038018613,0.00028870875,0.00028816538,0.00018671267],"domain_scores_gemma":[0.99902934,0.000043874858,0.0006373884,0.00019569567,2.9246115e-7,0.000093408366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000012718095,0.00021715235,0.00046846006,0.00013847198,0.00003305035,0.0000137287425,0.00012927239,0.000060873335,0.00009512236],"category_scores_gemma":[0.0000014035018,0.00021172412,0.00009577665,0.00010278152,0.00006969359,0.000086273474,0.00004380038,0.000088821245,4.152926e-9],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042719961,0.0002024027,0.14287631,0.00041152525,0.00074253476,0.000015382651,0.00009098756,0.00028508654,0.00012408849,0.8061866,0.0478215,0.00081637735],"study_design_scores_gemma":[0.0017409886,0.00061407837,0.8845763,0.00051975,0.0001588469,0.0000026236974,0.00085851806,0.04202973,0.00092182,0.021909555,0.045194644,0.0014731443],"about_ca_topic_score_codex":0.102152035,"about_ca_topic_score_gemma":0.0397427,"teacher_disagreement_score":0.784277,"about_ca_system_score_codex":0.00002165072,"about_ca_system_score_gemma":0.00028320757,"threshold_uncertainty_score":0.9777795},"labels":[],"label_agreement":null},{"id":"W7011308952","doi":"","title":"Loistehon kompensoinnin teknis-taloudellinen kehittäminen siirto- ja jakeluverkoissa","year":2018,"lang":"fi","type":"other","venue":"Tampere University Institutional Repository (Tampere University)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Population; Quarter (Canadian coin)","score_opus":0.015251399963520259,"score_gpt":0.16768453659557128,"score_spread":0.15243313663205102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011308952","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101804644,0.0034047177,0.00081610907,0.0003904693,0.0028501558,0.0008631477,0.0017212238,0.00031902065,0.8878305],"genre_scores_gemma":[0.057848506,0.0055624954,0.0009418184,0.00014204433,0.0014469678,6.9920947e-7,0.0010202423,0.00019229102,0.93284494],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99447054,0.00022862341,0.0010550084,0.0025669055,0.00048755598,0.001191353],"domain_scores_gemma":[0.99563634,0.00016048866,0.0012534809,0.0015129504,0.00052731106,0.00090939784],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00034201413,0.0014019338,0.0018652149,0.003349689,0.0027482428,0.00030081847,0.0023094914,0.0017906816,0.015748363],"category_scores_gemma":[0.000086651016,0.0019168648,0.0016349783,0.0020855796,0.0026926422,0.0012173291,0.00092105457,0.0010352778,0.015787432],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009347245,0.0018081546,0.025434854,0.00047114768,0.004817293,0.0069475477,0.0017519636,0.0016257507,0.0003463269,0.84922415,0.10625466,0.00038341724],"study_design_scores_gemma":[0.0024710307,0.00032969686,0.0025407565,0.00039985796,0.0008231802,0.00013096632,0.0018890767,0.0024862648,0.00008862884,0.00027555783,0.98639643,0.002168544],"about_ca_topic_score_codex":0.0071162716,"about_ca_topic_score_gemma":0.0014783551,"teacher_disagreement_score":0.8801418,"about_ca_system_score_codex":0.0030424965,"about_ca_system_score_gemma":0.0009780976,"threshold_uncertainty_score":0.9998731},"labels":[],"label_agreement":null},{"id":"W7023959507","doi":"","title":"Pienten ja keskisuurten yritysten investointimallit yrityskaupoissa : Millaisia investointimalleja yritykset käyttävät suunnitellessaan yrityskauppoja?","year":2019,"lang":"fi","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Power (physics); Order (exchange)","score_opus":0.017172896097774087,"score_gpt":0.1931284303410876,"score_spread":0.1759555342433135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023959507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8756033,0.01336802,0.00012222264,0.00042285552,0.0034341775,0.0012168884,0.002096664,0.0001478315,0.10358801],"genre_scores_gemma":[0.8484965,0.0058477856,0.0010646856,0.00016979077,0.00035955166,0.0000087873495,0.005321634,0.00011850252,0.13861276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.992109,0.00031774037,0.0029084377,0.002687393,0.00082293584,0.0011545098],"domain_scores_gemma":[0.99210364,0.00029094468,0.003726942,0.0019387946,0.0011346044,0.00080506806],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009644053,0.0014785213,0.0031195516,0.0026192786,0.0021362333,0.00031431072,0.002023012,0.00174037,0.0009236662],"category_scores_gemma":[0.00036295227,0.0019257775,0.0022968098,0.0016158711,0.002101543,0.0017018564,0.0006238957,0.0015575137,0.0012689452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001896729,0.003998401,0.22375377,0.0036009327,0.006969001,0.0017807158,0.0091936635,0.0060530957,0.0031164046,0.7353161,0.003902879,0.00041829215],"study_design_scores_gemma":[0.014734614,0.0025658256,0.28378424,0.0045516086,0.0060537755,0.0010253283,0.026360644,0.04614855,0.0035967063,0.010606356,0.5888652,0.011707109],"about_ca_topic_score_codex":0.010923255,"about_ca_topic_score_gemma":0.00092393457,"teacher_disagreement_score":0.72470975,"about_ca_system_score_codex":0.0019138287,"about_ca_system_score_gemma":0.0015565102,"threshold_uncertainty_score":0.9999896},"labels":[],"label_agreement":null},{"id":"W7025274029","doi":"","title":"Using option value games with an embedded risk preference measure to study behavior of market participants faced with short and long term carbon offset choices","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bidding; Option value; Preference; Incentive; Offset (computer science); Investment (military); Expected utility hypothesis; Variance (accounting); Outcome (game theory); Value (mathematics)","score_opus":0.06684235053242678,"score_gpt":0.2773846906719244,"score_spread":0.21054234013949763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025274029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99503285,0.0011901996,7.6932406e-7,0.0000011742252,0.0001071737,0.0015213696,0.0008543507,0.000055106044,0.0012369966],"genre_scores_gemma":[0.99772,0.00045572812,0.0007751491,0.000017726157,0.000019450716,0.00016983738,0.00030474964,0.00009972249,0.00043763834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996633,0.00018961469,0.001054178,0.0012766342,0.0003131499,0.0005334296],"domain_scores_gemma":[0.9976369,0.00004095234,0.0010252694,0.0007209434,0.00022342891,0.00035251246],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009512599,0.0006626467,0.001236863,0.0006986306,0.00047403263,0.00015155868,0.00035752342,0.00035206936,0.00005691204],"category_scores_gemma":[0.00009637109,0.00061301206,0.00014234807,0.0006205608,0.000056380733,0.00072002376,0.000050500417,0.00057427917,0.0000047350713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038921295,0.0048723533,0.9138272,0.00048090747,0.0032697401,0.00012736241,0.0007651973,0.0012719657,0.0057438845,0.010044799,4.0389503e-7,0.05570407],"study_design_scores_gemma":[0.00133377,0.0020771571,0.98349804,0.0003694024,0.0019028643,0.0000071750956,0.0009763066,0.001079932,0.006360381,0.001169378,0.000017720076,0.0012078698],"about_ca_topic_score_codex":0.0018238135,"about_ca_topic_score_gemma":0.012161006,"teacher_disagreement_score":0.069670856,"about_ca_system_score_codex":0.00025664,"about_ca_system_score_gemma":0.000027793543,"threshold_uncertainty_score":0.9996321},"labels":[],"label_agreement":null},{"id":"W7026876861","doi":"","title":"Application d'un modèle de simulation et d'analyse de sensibilité à l'évaluation d'un projet de numérisation des dossiers patients","year":2008,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Authorization; Public accounting; Publics","score_opus":0.016555960894486528,"score_gpt":0.1884433027247004,"score_spread":0.17188734183021387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026876861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85667515,0.00786514,0.13062468,0.0007118372,0.00008213346,0.0007603092,0.0001310808,0.00008532744,0.003064357],"genre_scores_gemma":[0.9699523,0.010510933,0.012420397,0.0002898272,0.00016746123,0.00003464242,0.00056126696,0.00016441794,0.0058987504],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997207,0.0003511176,0.000718608,0.0008816927,0.0001787471,0.0006628329],"domain_scores_gemma":[0.9975593,0.0002688378,0.0010893941,0.00063677377,0.00015850995,0.0002871623],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008687143,0.00050926977,0.0006918522,0.0009233853,0.0006963138,0.0000915835,0.0003594034,0.00049265916,0.00094574114],"category_scores_gemma":[0.00024443594,0.0006656352,0.000550493,0.0007307362,0.00031481887,0.0004845695,0.00013058925,0.00037982396,0.00038294168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016489392,0.00074959657,0.53658724,0.000105663676,0.00092688034,0.000022620708,0.15124986,0.21308373,0.00009690798,0.014895031,0.00043059542,0.081687],"study_design_scores_gemma":[0.0012717122,0.000108405184,0.32107693,0.000044622346,0.0003163974,0.000007713808,0.0029860912,0.6484042,0.000051147406,0.020710452,0.0044426857,0.0005796441],"about_ca_topic_score_codex":0.23119648,"about_ca_topic_score_gemma":0.16393575,"teacher_disagreement_score":0.4353205,"about_ca_system_score_codex":0.0036120526,"about_ca_system_score_gemma":0.00044661446,"threshold_uncertainty_score":0.9999675},"labels":[],"label_agreement":null},{"id":"W7028062178","doi":"","title":"The Effect of Capital Budgeting Decisions on Profitability: Selected Companies from Developed and Developing Countries","year":2021,"lang":"en","type":"dissertation","venue":"Eastern Mediterranean University Institutional Repository (Eastern Mediterranean University)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural logarithm; Capital expenditure; Developing country; Panel data; Profitability index; Fixed effects model; Regression analysis; Statistic; Capital budgeting; Variables","score_opus":0.023852975914874595,"score_gpt":0.2126741795323759,"score_spread":0.18882120361750132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028062178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98471016,0.0038503704,0.00023084863,0.0001978246,0.003111038,0.0005164853,0.00043178172,0.000074507654,0.006876996],"genre_scores_gemma":[0.97755474,0.0021408668,0.00020430224,0.000037990503,0.0005032635,0.000001951005,0.0023281144,0.000048691105,0.01718011],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99676204,0.00030668298,0.000863192,0.0011012264,0.00048153484,0.00048533303],"domain_scores_gemma":[0.99660814,0.0010225555,0.0010956993,0.00056525215,0.00042410975,0.00028421855],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004423998,0.00065834605,0.0011660636,0.0009317704,0.0017647464,0.00021629472,0.00086117245,0.0004770812,0.00006719969],"category_scores_gemma":[0.00035211717,0.00065763603,0.0003808336,0.00080523256,0.00078828284,0.0005686313,0.00024631614,0.00066145253,0.00006861695],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.028941102,0.0012437567,0.40768874,0.0045371917,0.02242281,0.013494202,0.16008194,0.0010855914,0.0014210737,0.33169192,0.0022785012,0.025113178],"study_design_scores_gemma":[0.0321245,0.004665771,0.34257984,0.017706454,0.0061411555,0.00044839617,0.13483004,0.027970472,0.012625444,0.003556661,0.4050991,0.012252156],"about_ca_topic_score_codex":0.00082032447,"about_ca_topic_score_gemma":0.0013527826,"teacher_disagreement_score":0.4028206,"about_ca_system_score_codex":0.0006909727,"about_ca_system_score_gemma":0.00048408945,"threshold_uncertainty_score":0.9995875},"labels":[],"label_agreement":null},{"id":"W7029768656","doi":"","title":"La réaction des investisseurs quant à la rémunération des dirigeants d'entreprise en options d'achat d'actions","year":2006,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Management by objectives; Limiting; Enterprise management","score_opus":0.01628727963176262,"score_gpt":0.18553614606398236,"score_spread":0.16924886643221973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029768656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81675017,0.06643739,0.01040597,0.0017253706,0.00045654053,0.0004976275,0.00038313185,0.00020351475,0.10314029],"genre_scores_gemma":[0.65309817,0.111245595,0.005642823,0.00008909406,0.00041415053,0.000040547155,0.00046960858,0.0003258575,0.22867416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99722636,0.00036791607,0.00071630254,0.00094949367,0.00013062524,0.00060931704],"domain_scores_gemma":[0.9975615,0.0005693928,0.0008111226,0.0006597466,0.00008314561,0.00031508252],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00044550197,0.00063757313,0.00083334406,0.0013840668,0.0011299548,0.00024712062,0.000456031,0.0005992278,0.0027337533],"category_scores_gemma":[0.00015968912,0.00080964155,0.00072438765,0.0007541088,0.0011453849,0.0008068845,0.00021271827,0.00065249496,0.001516361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008645449,0.0013267449,0.071356654,0.00022643371,0.0015914157,0.00027030747,0.0956777,0.004940962,0.00011207565,0.76385254,0.01049397,0.050064746],"study_design_scores_gemma":[0.0018502285,0.00020403306,0.33527538,0.00045588257,0.0011918368,0.00017324154,0.022300057,0.023747768,0.000027288754,0.08782818,0.52510524,0.0018408668],"about_ca_topic_score_codex":0.4584113,"about_ca_topic_score_gemma":0.7594892,"teacher_disagreement_score":0.6760243,"about_ca_system_score_codex":0.0015887478,"about_ca_system_score_gemma":0.00020195219,"threshold_uncertainty_score":0.9994354},"labels":[],"label_agreement":null},{"id":"W7039267094","doi":"","title":"The Mallik gas hydrate well, NWT, Canada","year":2003,"lang":"de","type":"article","venue":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Durvalumab","score_opus":0.04615212139960511,"score_gpt":0.29364711648011677,"score_spread":0.24749499508051165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7039267094","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11554121,0.2304336,0.0028282653,0.4749007,0.018722707,0.017382696,0.087937355,0.00030069766,0.051952783],"genre_scores_gemma":[0.3426176,0.20096008,0.0026756034,0.005681776,0.0030616268,0.0024561235,0.032249633,0.00032808402,0.40996948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99380547,0.00034190447,0.0012769552,0.00148957,0.000826674,0.0022594458],"domain_scores_gemma":[0.9945328,0.0010808666,0.00068627624,0.0018698707,0.0009570332,0.0008731052],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009182225,0.0003774748,0.00046503652,0.0007561389,0.0033587567,0.002099971,0.0020293102,0.00013912584,0.002155329],"category_scores_gemma":[0.0033737263,0.0003322714,0.000260044,0.003138503,0.00092344644,0.0013134363,0.0003811777,0.0006033242,0.0017073723],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001711243,0.00015566805,0.0028109616,0.00004271209,0.000087475666,0.0000032106736,0.0001367652,0.000015405645,0.000005889764,0.49795517,0.49790275,0.00086688506],"study_design_scores_gemma":[0.00048397158,0.000039565697,0.0009494709,0.000017552096,0.000030201667,0.000001657732,0.00053213706,0.030375846,0.00020546967,0.010698147,0.95625776,0.00040823314],"about_ca_topic_score_codex":0.2171387,"about_ca_topic_score_gemma":0.4083639,"teacher_disagreement_score":0.487257,"about_ca_system_score_codex":0.0009174166,"about_ca_system_score_gemma":0.0019585746,"threshold_uncertainty_score":0.9999129},"labels":[],"label_agreement":null},{"id":"W7065984221","doi":"","title":"A feasibility study of a soybean peroxidase extraction facility using real options","year":2008,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bioproducts; Hydrogen peroxide; Extraction (chemistry); Horseradish peroxidase; Peroxidase; Liberian dollar; Wastewater","score_opus":0.06249387872710251,"score_gpt":0.26064359331756387,"score_spread":0.19814971459046135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7065984221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963876,0.0016123409,0.00004552267,0.00002577081,0.00015497544,0.00044986358,0.00030573635,0.000015301499,0.0010029068],"genre_scores_gemma":[0.9934936,0.0022382808,0.00011166251,0.000001675288,0.000026028512,3.972351e-7,0.00028760964,0.000008868106,0.0038318534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989184,0.00006408849,0.00040528591,0.00037626634,0.00009301364,0.00014294036],"domain_scores_gemma":[0.9982788,0.000036563473,0.0009486958,0.0005609784,0.00012325509,0.00005174018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039803903,0.00016903883,0.00056451256,0.00033324058,0.0003647333,0.000010809562,0.00032982175,0.00016267691,0.00027746227],"category_scores_gemma":[0.000028145352,0.00019091461,0.0004192011,0.0004066117,0.00012484005,0.00017847597,0.000052644988,0.0002123771,0.000038284332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071502,0.025478749,0.44237402,0.0020185383,0.008952655,0.00014315457,0.34956288,0.004904753,0.09102392,0.06398226,0.0033996878,0.0010091747],"study_design_scores_gemma":[0.0010227788,0.00024618595,0.9268631,0.000017865912,0.00044431267,0.0000022355848,0.06679899,0.002173141,0.000052021827,0.0019943432,0.000079187164,0.00030586196],"about_ca_topic_score_codex":0.027878555,"about_ca_topic_score_gemma":0.0057809805,"teacher_disagreement_score":0.48448905,"about_ca_system_score_codex":0.00015546042,"about_ca_system_score_gemma":0.000052527725,"threshold_uncertainty_score":0.9785949},"labels":[],"label_agreement":null},{"id":"W7072110960","doi":"","title":"Værdiansættelse af Vestas Wind Systems A/S","year":2014,"lang":"en","type":"other","venue":"CBS Research Portal (Copenhagen Business School)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wind power; Windmill; Discounted cash flow; Valuation (finance); Subsidy; Position (finance); SWOT analysis; Cash flow; Competitor analysis","score_opus":0.0762117257177611,"score_gpt":0.2986118258681893,"score_spread":0.22240010015042821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072110960","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008481527,0.13341518,0.000113865404,0.00032060948,0.0014501815,0.0011408705,0.00064708444,0.000200873,0.8618632],"genre_scores_gemma":[0.019979268,0.013952821,0.00011541016,0.0001294496,0.002409862,0.00016904135,0.00084209786,0.00093682465,0.96146524],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950904,0.00017487511,0.0013079037,0.0015858767,0.0004821016,0.0013587923],"domain_scores_gemma":[0.9961614,0.000098413875,0.0008489027,0.0018201156,0.00031741805,0.00075376563],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024352348,0.00070041075,0.0016710346,0.002454758,0.00032122707,0.0010773642,0.0013658844,0.00085602177,0.11688578],"category_scores_gemma":[0.0007456685,0.0007149615,0.0003841168,0.0022861992,0.00043721212,0.00039672302,0.00044532993,0.0010752246,0.17249182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001842128,0.000118125026,0.00063504465,0.00040958053,0.00043196627,0.0002082771,0.000024005429,0.00004672169,0.0000128429165,0.035270408,0.9627077,0.000116902556],"study_design_scores_gemma":[0.00055285933,0.0000501507,0.0033277688,0.00033063025,0.00004700048,0.000013649493,0.00010870793,0.00033934502,0.000007537125,0.0011979338,0.9931358,0.00088859594],"about_ca_topic_score_codex":0.008423348,"about_ca_topic_score_gemma":0.00062465685,"teacher_disagreement_score":0.119462356,"about_ca_system_score_codex":0.00020581555,"about_ca_system_score_gemma":0.00027849575,"threshold_uncertainty_score":0.9999596},"labels":[],"label_agreement":null},{"id":"W7084294016","doi":"","title":"Sensory Regimes in TV Marketing:Boardwalk Empire’s Chromatic Enhancement and Digital Aesthetics","year":2012,"lang":"en","type":"article","venue":"Multilingual Matters (Channel View Publications)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Appeal; Variety (cybernetics); Identity (music); Club; Semiotics; Character (mathematics); Consumer behaviour","score_opus":0.036737641473477946,"score_gpt":0.2579720244476031,"score_spread":0.22123438297412515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084294016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96323335,0.023184432,0.00027334652,0.00806693,0.00028589225,0.0004622821,0.000077482786,0.000082928455,0.004333351],"genre_scores_gemma":[0.9920115,0.002262515,0.0007067607,0.0013236987,0.00010552876,0.000102376536,0.000087507186,0.000035802845,0.0033642945],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982407,0.00003912136,0.0007754475,0.00041210884,0.00007219636,0.00046041308],"domain_scores_gemma":[0.9989157,0.00010776967,0.00034266975,0.00041262902,0.000042057018,0.00017921368],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086084486,0.00023015487,0.00042055183,0.0005122004,0.000108813125,0.00024219212,0.00019302091,0.000090272246,0.00026047858],"category_scores_gemma":[0.00020663659,0.00024756606,0.00011562829,0.00040183225,0.000116473486,0.0006997128,0.00010910132,0.00013901258,0.00052677875],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001514567,0.006655635,0.60488284,0.002083092,0.0010536957,0.000012855787,0.0452154,0.00017514403,0.0005346569,0.23326026,0.04194333,0.064031646],"study_design_scores_gemma":[0.004925216,0.00024701163,0.23509452,0.0006796274,0.00021358221,0.00008167206,0.008450731,0.05805805,0.0018128301,0.021735622,0.66437846,0.0043226536],"about_ca_topic_score_codex":0.00009041383,"about_ca_topic_score_gemma":0.000013101388,"teacher_disagreement_score":0.62243515,"about_ca_system_score_codex":0.00009296899,"about_ca_system_score_gemma":0.000013903191,"threshold_uncertainty_score":0.9999977},"labels":[],"label_agreement":null},{"id":"W7095674159","doi":"","title":"Rail Infrastructure Management Policy: Applying a Real Options Methodology","year":2004,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Abandonment (legal); Counterfactual thinking; Process (computing); Track (disk drive); Liberalization; Rail network","score_opus":0.057088286592396474,"score_gpt":0.2774117400489346,"score_spread":0.22032345345653812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095674159","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1735807,0.010996054,0.097884275,0.009314145,0.00076594565,0.0010183094,0.000118496,0.00038407426,0.705938],"genre_scores_gemma":[0.6834502,0.028308738,0.26337272,0.0024268895,0.0004791935,0.00019657292,0.00008441087,0.000048662365,0.02163258],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990753,0.0000114605255,0.00034965476,0.0002973415,0.000024814017,0.00024143462],"domain_scores_gemma":[0.99952173,0.00001751798,0.000121596415,0.00025504723,0.00000999057,0.000074139345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025713805,0.00011948828,0.00027556397,0.00049785175,0.00011716836,0.000048473914,0.00015687497,0.000081412836,0.0006487467],"category_scores_gemma":[0.000017005288,0.00011889419,0.00015745936,0.00045216447,0.000055331868,0.00011725061,0.000085853724,0.00008859186,0.0006171365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029893704,0.000023819184,0.001294173,0.0000074718178,0.00012594835,0.0000035963678,0.00023616583,0.0017749645,0.000013630805,0.9952507,0.00034783865,0.00091872405],"study_design_scores_gemma":[0.0005116531,0.0000221128,0.016528768,0.0000028072366,0.000020808602,0.00000400397,0.00030766198,0.00033382076,0.0000430259,0.9625175,0.019525006,0.00018281744],"about_ca_topic_score_codex":0.0024010066,"about_ca_topic_score_gemma":0.00013345033,"teacher_disagreement_score":0.6843054,"about_ca_system_score_codex":0.00016858721,"about_ca_system_score_gemma":0.000012705608,"threshold_uncertainty_score":0.7932247},"labels":[],"label_agreement":null},{"id":"W7096509579","doi":"","title":"Online Selling Adoption: A Real Options Approach","year":2013,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"The Internet; E-commerce; Website design; Internet users; Key (lock)","score_opus":0.047326058811671574,"score_gpt":0.21783137918620218,"score_spread":0.17050532037453062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096509579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61999696,0.013203968,0.012810719,0.0016294228,0.0002558443,0.00041304727,0.000082658444,0.00022549993,0.3513819],"genre_scores_gemma":[0.8715745,0.019909227,0.05969962,0.00050026696,0.00039685675,0.000070448536,0.0003231526,0.000028547252,0.047497384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992548,0.000004268893,0.00032569942,0.00023402824,0.000020354806,0.00016079866],"domain_scores_gemma":[0.9996068,0.0000098122855,0.00009310113,0.00019708589,0.000020191466,0.00007303994],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000094097966,0.000087575085,0.00019027927,0.00015680626,0.0000852749,0.00008463408,0.000100888275,0.000058301935,0.0028060505],"category_scores_gemma":[0.000005148408,0.000084068975,0.00012971187,0.00023952339,0.000030435423,0.00024905233,0.000025056275,0.000074262425,0.0026937472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.009469e-7,0.00018792797,0.004021473,0.000004579727,0.00004153919,1.9647446e-7,0.000105205225,0.00038135468,0.00000818618,0.99268293,0.0024300842,0.00013601982],"study_design_scores_gemma":[0.0006822052,0.000081290535,0.06307572,0.0000070332426,0.000040508676,0.000006092517,0.0014519569,0.61742437,0.00002746338,0.29458624,0.021877037,0.000740057],"about_ca_topic_score_codex":0.0015644763,"about_ca_topic_score_gemma":0.000029496121,"teacher_disagreement_score":0.6980967,"about_ca_system_score_codex":0.000033268938,"about_ca_system_score_gemma":0.0000039875176,"threshold_uncertainty_score":0.9981055},"labels":[],"label_agreement":null},{"id":"W7096788884","doi":"","title":"FOR:","year":2002,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Stock (firearms); Market value; The Internet; Stock market","score_opus":0.08709304809937453,"score_gpt":0.20225595194829762,"score_spread":0.1151629038489231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096788884","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042089984,0.027696934,0.00516113,0.0031487853,0.00028295498,0.00015976754,0.000052945605,0.000076862365,0.92133063],"genre_scores_gemma":[0.8224319,0.0014168535,0.0019897847,0.00076526287,0.000088171844,0.000016961534,0.000005826558,0.000007953639,0.17327726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967617,4.9340866e-7,0.00013188046,0.00010273941,0.0000050739213,0.00008364724],"domain_scores_gemma":[0.99983907,0.000009009442,0.000033103755,0.00009040717,0.000004469971,0.000023948383],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000048360816,0.00003349891,0.000091443544,0.000062359424,0.0000335183,0.000019690235,0.000046857698,0.000019861918,0.005485444],"category_scores_gemma":[0.000010351805,0.0000329109,0.0000914412,0.000064966895,0.000010023914,0.0000580285,0.000006397908,0.000013292621,0.0026779003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.664833e-7,0.000017285356,0.0021942335,0.0000012396814,0.000013910809,8.485295e-8,0.00004231857,0.0000020920588,0.0000016861891,0.95555097,0.041921217,0.00025467863],"study_design_scores_gemma":[0.0002361906,0.000027814036,0.0006163279,4.9707995e-7,0.000004189514,3.4004086e-7,0.00002303615,0.048402645,0.000061200204,0.30149478,0.6490136,0.00011939866],"about_ca_topic_score_codex":0.000028002982,"about_ca_topic_score_gemma":0.000008447616,"teacher_disagreement_score":0.7803419,"about_ca_system_score_codex":0.000009803136,"about_ca_system_score_gemma":2.1542017e-7,"threshold_uncertainty_score":0.9980986},"labels":[],"label_agreement":null},{"id":"W7097327239","doi":"","title":"Rick Hyndman, University of Alberta and the Canadian Association of Petroleum Producers","year":2003,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Petroleum; Upstream (networking); Flexibility (engineering); Petroleum industry; Greenhouse gas; Downstream (manufacturing); Fault tree analysis","score_opus":0.008560889576489166,"score_gpt":0.1514791595204123,"score_spread":0.14291826994392312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097327239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7125609,0.0015040179,0.000014767305,0.0027407368,0.00006266723,0.000093633644,0.000017379612,0.0000023792932,0.2830035],"genre_scores_gemma":[0.96728826,0.0005675671,0.000054807566,0.000044235698,0.0000036577428,1.5638167e-7,0.000002417793,0.0000020232228,0.03203687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967045,0.000013926457,0.00012781545,0.00009276609,0.000016948361,0.00007808686],"domain_scores_gemma":[0.9996313,0.00004089516,0.0001749499,0.00009836131,0.000020727506,0.000033802073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037039712,0.000035250214,0.00015719951,0.000097871256,0.00006483598,0.000007660034,0.00005172943,0.00003404559,0.00031216771],"category_scores_gemma":[0.00008767979,0.000030668394,0.000059667287,0.0001210652,0.000056323865,0.000050235347,0.0000068252207,0.00003066359,0.000023796501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029702642,0.000007728487,0.18371075,0.0000031693437,0.00007021492,7.4518496e-8,0.0004312742,0.000018508752,9.005898e-7,0.81459856,0.0011469728,0.000008873592],"study_design_scores_gemma":[0.0065200697,0.00012647126,0.38711885,0.000012743819,0.00030757894,0.0000017141047,0.004005202,0.012327719,0.00052446645,0.17479987,0.41361123,0.0006440789],"about_ca_topic_score_codex":0.5583979,"about_ca_topic_score_gemma":0.7095719,"teacher_disagreement_score":0.6397987,"about_ca_system_score_codex":0.00009394025,"about_ca_system_score_gemma":0.00002568148,"threshold_uncertainty_score":0.44454277},"labels":[],"label_agreement":null},{"id":"W7097807091","doi":"","title":"DT Duality Theory FD Finite Difference","year":2015,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Duality (order theory); Sensitivity (control systems); Monte Carlo method; Profit (economics); Scalar (mathematics)","score_opus":0.10290767678730048,"score_gpt":0.2402637122813365,"score_spread":0.13735603549403602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097807091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60805964,0.012107552,0.007929622,0.001010694,0.00041007783,0.00012443945,0.000068432644,0.00011659751,0.37017295],"genre_scores_gemma":[0.9473018,0.000333749,0.00044051826,0.0006556699,0.00007208837,0.000006861032,0.000017449922,0.000008408954,0.051163472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992329,0.00001777402,0.00031086922,0.00024091217,0.000029700293,0.00016786194],"domain_scores_gemma":[0.9994074,0.00006375568,0.000111253794,0.00026692232,0.000022873694,0.00012778284],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005699763,0.00009676718,0.000239887,0.00011071739,0.000043796404,0.00005929797,0.00014784037,0.000055083972,0.001079963],"category_scores_gemma":[0.0001089211,0.00008585871,0.00011213276,0.00017353511,0.00005871966,0.00011212763,0.00005950657,0.000068720154,0.0028083455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006184647,0.00004682636,0.027405316,0.0000023141174,0.000033870845,0.0000012038612,0.00037355503,0.0000140468,0.000002866872,0.97028095,0.0015499614,0.0002829258],"study_design_scores_gemma":[0.0003009025,0.000036695164,0.016560074,0.000001876561,0.000009506971,5.401442e-7,0.00022064605,0.0028617908,0.00009929532,0.95429766,0.02540446,0.00020654616],"about_ca_topic_score_codex":0.0002348148,"about_ca_topic_score_gemma":0.000062713574,"teacher_disagreement_score":0.33924213,"about_ca_system_score_codex":0.00004062009,"about_ca_system_score_gemma":0.0000089377945,"threshold_uncertainty_score":0.99983317},"labels":[],"label_agreement":null},{"id":"W7097908857","doi":"","title":"Toronto","year":2005,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Portfolio; Project portfolio management; Order (exchange); Commercialization; Selection (genetic algorithm); Decision support system","score_opus":0.02163620066836928,"score_gpt":0.20657629179013998,"score_spread":0.1849400911217707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097908857","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06477588,0.033982404,0.00042924465,0.0015495169,0.00010273151,0.000038596914,0.000007489776,0.00005224626,0.8990619],"genre_scores_gemma":[0.9289372,0.0017025343,0.0019079883,0.0008664772,0.0001724983,0.000003514224,0.000004214301,0.0000056415815,0.06639993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999617,9.2968025e-7,0.00016495856,0.00011619704,0.000008500281,0.00009243771],"domain_scores_gemma":[0.99979985,0.0000038020028,0.00003782742,0.000118499745,0.000003941049,0.000036059424],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006858761,0.000041944066,0.00009991848,0.000024741628,0.000027789534,0.000022956077,0.00006194529,0.000022927234,0.014389948],"category_scores_gemma":[0.00000442962,0.00004083925,0.000072646915,0.000037952268,0.000010043654,0.00021053852,0.0000137599745,0.000016396512,0.0055916817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.1771485e-7,0.000021300099,0.0024443737,4.5757957e-7,0.000014755417,1.2570595e-7,0.00007971294,0.0000075722414,0.000004038788,0.9869239,0.009644522,0.0008587615],"study_design_scores_gemma":[0.00018073981,0.000016479857,0.005120476,6.0009444e-7,0.0000036911147,5.855411e-7,0.000077679244,0.0072071874,0.00015880933,0.050319448,0.9367567,0.00015763566],"about_ca_topic_score_codex":0.0010491179,"about_ca_topic_score_gemma":0.001430943,"teacher_disagreement_score":0.93660444,"about_ca_system_score_codex":0.000062916384,"about_ca_system_score_gemma":0.0000013071091,"threshold_uncertainty_score":0.9951826},"labels":[],"label_agreement":null},{"id":"W7100231646","doi":"","title":"Acknowledgements","year":2007,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.03220830860288064,"score_gpt":0.23547584621326037,"score_spread":0.20326753761037974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100231646","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19863464,0.0055888384,0.0058050146,0.00014045635,0.0005470112,0.000055823246,0.0000047565377,0.00004901638,0.78917444],"genre_scores_gemma":[0.87955344,0.00035374763,0.0013305572,0.00048966496,0.0001852607,0.0000017414767,0.000008076449,0.000008887808,0.11806864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99949116,7.5372947e-7,0.00022479889,0.00012997827,0.000011411206,0.00014188672],"domain_scores_gemma":[0.9997566,0.0000083546,0.000052295843,0.00011765505,0.00001757602,0.00004751583],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029527018,0.000046799047,0.000102123355,0.00013996563,0.0000365018,0.000019524474,0.00007320403,0.000026803838,0.01883083],"category_scores_gemma":[0.000026077709,0.00004638801,0.00007051043,0.0001606651,0.000016503185,0.0000787095,0.000022682803,0.000028224435,0.0412145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018916329,0.00004538839,0.048078265,0.0000017659166,0.0000353085,0.0000013625349,0.00007796787,6.8989783e-7,0.000012010648,0.9228739,0.028253853,0.0006175814],"study_design_scores_gemma":[0.00043651246,0.000036048215,0.089818224,0.0000020552673,0.000007981546,4.9340815e-7,0.00013627709,0.0008876513,0.0011784303,0.27706906,0.630144,0.00028324567],"about_ca_topic_score_codex":0.000018552917,"about_ca_topic_score_gemma":0.00007367694,"teacher_disagreement_score":0.68091875,"about_ca_system_score_codex":0.00002641805,"about_ca_system_score_gemma":0.0000012469693,"threshold_uncertainty_score":0.9820661},"labels":[],"label_agreement":null},{"id":"W7100247641","doi":"","title":"and","year":2008,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endangered species; Logging; Extinction (optical mineralogy); Habitat; Forest management; Social planner","score_opus":0.046013078149177364,"score_gpt":0.1782546149862496,"score_spread":0.13224153683707224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100247641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8478563,0.011026468,0.00014246775,0.0003762013,0.000036473197,0.000018452547,0.0000031166767,0.000018203826,0.14052232],"genre_scores_gemma":[0.9756921,0.0041234526,0.00044832545,0.00025430505,0.000019975256,0.0000011520926,0.0000013481329,0.000002494876,0.019456862],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99976933,6.0790217e-7,0.00008979246,0.00008443828,0.00000471517,0.000051117393],"domain_scores_gemma":[0.99989074,0.0000039478905,0.000021359348,0.000055982662,0.0000022346705,0.000025706016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003065,0.0000266391,0.000076158125,0.000051538853,0.000044878347,0.00000667642,0.000021022119,0.00001417728,0.0006707391],"category_scores_gemma":[0.0000045171987,0.00002528401,0.00002562416,0.000052070052,0.00003093592,0.000055345867,0.000011233905,0.000015411624,0.0006244867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.4512988e-7,0.000007270755,0.07067337,5.6898006e-7,0.000008650818,0.000001476912,0.00009110625,4.2402348e-7,0.0000026065477,0.9266422,0.0025307566,0.000041266343],"study_design_scores_gemma":[0.00054648425,0.000056577013,0.35522738,0.000001382926,0.0000063264238,0.00003281694,0.00009044243,0.0060801944,0.00021804628,0.43169546,0.2056893,0.00035560882],"about_ca_topic_score_codex":0.00013731072,"about_ca_topic_score_gemma":0.0000067064184,"teacher_disagreement_score":0.4949467,"about_ca_system_score_codex":0.000004091875,"about_ca_system_score_gemma":8.818252e-7,"threshold_uncertainty_score":0.80267215},"labels":[],"label_agreement":null},{"id":"W7101007750","doi":"","title":"The Impact of Stochastic Extraction Cost on the Value of an Exhaustible Resource: The Case of the Alberta Oil Sands","year":2011,"lang":"en","type":"article","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Non-renewable resource; Natural resource; Valuation (finance); Geometric Brownian motion; Stochastic modelling; Present value; Resource (disambiguation); Oil field; Value (mathematics)","score_opus":0.04528022587147676,"score_gpt":0.26008280905939224,"score_spread":0.21480258318791548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101007750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9600723,0.00072944857,0.000042827734,0.00027670988,0.0000769928,0.00014895781,0.000051477,0.0000033405422,0.03859796],"genre_scores_gemma":[0.9962061,0.00019440705,0.00000953209,0.00004335516,0.00003004655,0.000011279122,0.0000024972815,0.000010835077,0.0034919232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912083,0.00005231387,0.00047772948,0.00015346229,0.00004514647,0.0001505091],"domain_scores_gemma":[0.99805975,0.0005495542,0.00057411083,0.0007464144,0.00003609716,0.000034095196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068716373,0.00011531385,0.00022783117,0.000075677926,0.0002463953,0.000023475732,0.00036603067,0.000055518565,0.0005401293],"category_scores_gemma":[0.00014034669,0.000045052588,0.0003182397,0.00031656487,0.00026365407,0.000084702944,0.0000525714,0.00013348673,0.000016842594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013760521,0.00032902576,0.0026694015,0.000011204732,0.00037362703,0.0000017291034,0.0037230197,0.0039937072,0.000111320056,0.9859924,0.0015191276,0.0011378324],"study_design_scores_gemma":[0.0038101566,0.0037432292,0.226689,0.00021500674,0.0011193574,0.0003050984,0.037213635,0.49567312,0.022812415,0.2024504,0.0044464194,0.001522177],"about_ca_topic_score_codex":0.03934547,"about_ca_topic_score_gemma":0.0033622356,"teacher_disagreement_score":0.78354204,"about_ca_system_score_codex":0.000041457253,"about_ca_system_score_gemma":0.000024717094,"threshold_uncertainty_score":0.9670516},"labels":[],"label_agreement":null},{"id":"W7113895270","doi":"10.2139/ssrn.5864823","title":"Optimal Design of Registered Index-Linked Annuities Under Asymmetric Nash Bargaining","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bargaining problem; Optimal design; Risk aversion (psychology); Annuity; Investment (military); Contract theory; Nash equilibrium; Expected utility hypothesis; Comparative statics","score_opus":0.04376265249685995,"score_gpt":0.25275224241676064,"score_spread":0.2089895899199007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113895270","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057945147,0.52990365,0.40003186,0.00087277114,0.0022361604,0.001052711,0.00028331816,0.000057328867,0.007617042],"genre_scores_gemma":[0.62924796,0.34724084,0.0012504668,0.00012342058,0.0004170407,0.000023937002,0.000043030494,0.00006809899,0.02158523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.989152,0.0003392213,0.004178399,0.0014438932,0.00035765278,0.0045288266],"domain_scores_gemma":[0.992325,0.0004352121,0.0052806693,0.0012043272,0.00045774455,0.00029705605],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0082653705,0.0010862316,0.0028819893,0.0047825403,0.000656796,0.00054305815,0.0019005882,0.0011714706,0.00029107902],"category_scores_gemma":[0.00046027618,0.0012636601,0.0019363792,0.0021957152,0.0004262511,0.0005697141,0.00081583357,0.007744251,0.00008892683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0003105441,0.0003372948,0.0036051671,0.00012836482,0.005925317,0.000007233468,0.0008844822,0.15914881,0.0000062806976,0.82615143,0.00016728305,0.003327779],"study_design_scores_gemma":[0.0024130635,0.0010244556,0.0014597658,0.00040082954,0.00071010535,0.000097629854,0.0063938755,0.07584099,0.00004217488,0.9097491,0.0005143372,0.0013537084],"about_ca_topic_score_codex":0.000930953,"about_ca_topic_score_gemma":0.00026643337,"teacher_disagreement_score":0.5713028,"about_ca_system_score_codex":0.004656696,"about_ca_system_score_gemma":0.0065151043,"threshold_uncertainty_score":0.9991642},"labels":[],"label_agreement":null},{"id":"W7115165315","doi":"10.1080/00472778.2025.2594119","title":"Small business valuations during uncertain times","year":2025,"lang":"en","type":"article","venue":"Journal of Small Business Management","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Negotiation; Small business; Instrumental variable; Business cycle; Private sector; Yield (engineering)","score_opus":0.04205313721747087,"score_gpt":0.22585644735510024,"score_spread":0.18380331013762938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115165315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88135785,0.019009884,0.028335892,0.01231336,0.0023812642,0.0005238483,0.000022620014,0.000055296892,0.05599998],"genre_scores_gemma":[0.9200126,0.015880384,0.0097755985,0.0006706757,0.00029469933,0.000031061547,0.000024374809,0.000044591085,0.05326601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984117,0.000016433707,0.0010037303,0.0002462975,0.000076736884,0.00024507643],"domain_scores_gemma":[0.99855864,0.00002874078,0.0007239497,0.00028807903,0.0003421142,0.000058490943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059120264,0.00018633588,0.00048673578,0.0012585742,0.00017157137,0.00017272664,0.00039051584,0.00006154601,0.00031574606],"category_scores_gemma":[0.0000737561,0.00018072358,0.0002103269,0.0016808395,0.00004895626,0.00024438606,0.00015791858,0.00012425992,0.00010707473],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012451525,0.00079470413,0.028391039,0.00090102357,0.002329134,0.00022174204,0.00029484276,0.041876324,0.00006807867,0.9142226,0.005105074,0.005670918],"study_design_scores_gemma":[0.0022256032,0.000025548881,0.8514321,0.00035639238,0.00045614303,0.00001589333,0.00037326274,0.0036981136,0.000070406146,0.10440773,0.036476202,0.00046261496],"about_ca_topic_score_codex":0.00017155941,"about_ca_topic_score_gemma":0.000067169014,"teacher_disagreement_score":0.8230411,"about_ca_system_score_codex":0.00019933585,"about_ca_system_score_gemma":0.000035959536,"threshold_uncertainty_score":0.73696935},"labels":[],"label_agreement":null},{"id":"W7117117436","doi":"10.1016/j.eneco.2025.109109","title":"Market structure and technology adoption in renewable energy","year":2025,"lang":"en","type":"article","venue":"Energy Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Office of the Vice Chancellor for Research and Graduate Education, University of Wisconsin-Madison; University of Wisconsin-Madison; Wisconsin Alumni Research Foundation","keywords":"Restructuring; Renewable energy; Competition (biology); Market structure; Wind power; Market competition; Frontier","score_opus":0.005632457736908164,"score_gpt":0.17094785521352768,"score_spread":0.16531539747661952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117117436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8460713,0.040629663,0.0011943484,0.0026853054,0.00076740247,0.00007333561,0.00011517852,0.00008260733,0.10838086],"genre_scores_gemma":[0.96404743,0.014520819,0.00042533103,0.0004239246,0.000048947568,0.000015515549,0.000037520527,0.000014283167,0.020466205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99896544,0.000007498666,0.00042765503,0.0003848665,0.0000067612455,0.00020778117],"domain_scores_gemma":[0.9995278,0.000020582436,0.00014720458,0.00025789498,0.000010717398,0.000035791603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001037332,0.0001378554,0.00034385888,0.0009416165,0.00005995466,0.000054181597,0.00014134811,0.00021087391,0.00027819606],"category_scores_gemma":[0.000016638645,0.00016830814,0.00005145004,0.0004186355,0.000070881404,0.0001554715,0.000090447225,0.000071876406,0.0000034596524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009085489,0.00002077391,0.073984616,0.0000050758126,0.000052294152,0.0000012071633,0.000014330234,0.0007558409,0.000011072343,0.92138,0.0024261414,0.0013395947],"study_design_scores_gemma":[0.0004404482,0.000017829878,0.0027727464,0.000008963713,0.000008278504,0.0000018282457,0.000063860636,0.05692353,0.0005675381,0.72927225,0.20970751,0.00021522483],"about_ca_topic_score_codex":0.0031966718,"about_ca_topic_score_gemma":0.009488599,"teacher_disagreement_score":0.20728137,"about_ca_system_score_codex":0.00013618445,"about_ca_system_score_gemma":0.000018210103,"threshold_uncertainty_score":0.6863407},"labels":[],"label_agreement":null},{"id":"W7135586839","doi":"","title":"Comparison of Different Investment Opportunities during Unstable Times","year":2023,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Real estate; Investment (military); Stock (firearms); Investment strategy; Real estate investment trust; Estimation; Investment performance","score_opus":0.03693380771297901,"score_gpt":0.2577792292104801,"score_spread":0.22084542149750108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135586839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78836083,0.024827207,0.0000011700505,0.000021046324,0.0018748561,0.0002849484,0.00053147564,0.00007467462,0.18402381],"genre_scores_gemma":[0.7758069,0.00040007377,0.00002387017,0.0000111867585,0.00024033675,0.000044474902,0.0029393851,0.00006459296,0.22046918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9963801,0.000029965906,0.0021672284,0.0006577292,0.00047579233,0.0002891953],"domain_scores_gemma":[0.9963627,0.00012906795,0.0022964703,0.00042123187,0.00063445506,0.00015611107],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012479148,0.00048537922,0.0012502766,0.001007842,0.00024335907,0.00048756506,0.0003777205,0.00040429577,0.000027025537],"category_scores_gemma":[0.000122058176,0.0005045245,0.0007018328,0.00039256172,0.00015159129,0.0007461278,0.00006988482,0.00032901298,0.000023338878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006705406,0.002782719,0.12675662,0.0051671513,0.0045799236,0.00020785641,0.015036301,0.00051017676,0.009298366,0.81969005,0.01510463,0.00019563836],"study_design_scores_gemma":[0.0036176534,0.0015786357,0.4265864,0.007707288,0.0009456667,0.00013180292,0.010823503,0.0038634406,0.33022487,0.18804485,0.02072519,0.0057507143],"about_ca_topic_score_codex":0.000049270075,"about_ca_topic_score_gemma":0.000007822607,"teacher_disagreement_score":0.6316452,"about_ca_system_score_codex":0.00027636113,"about_ca_system_score_gemma":0.00014141739,"threshold_uncertainty_score":0.99974066},"labels":[],"label_agreement":null},{"id":"W7152539226","doi":"10.1515/9783111373089-008","title":"241Chapter 8 Financing and Funding Strategies for Ventures in Uncertainty","year":2025,"lang":"","type":"book-chapter","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Government (linguistics); Investment (military); Payment; Production (economics); Work (physics)","score_opus":0.04262856678602919,"score_gpt":0.2429889431649463,"score_spread":0.2003603763789171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7152539226","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022063844,0.25591263,0.0077410233,0.0016302059,0.0023493902,0.0025309115,0.0012787323,0.000072184856,0.7064211],"genre_scores_gemma":[0.6092696,0.0803626,0.0014879993,0.00062568736,0.00023635372,0.00009794212,0.00017796323,0.00007608114,0.30766577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996642,0.0000068349286,0.0015281362,0.0011742344,0.00005308458,0.00059573003],"domain_scores_gemma":[0.9985293,0.0002616919,0.00063177454,0.00041203192,0.000049367263,0.00011582926],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005546826,0.0006528708,0.0014904072,0.0014859342,0.00027346783,0.0004625191,0.0002559344,0.00061208534,0.0010520401],"category_scores_gemma":[0.000049020804,0.00073088746,0.0006015171,0.00013539748,0.00020487206,0.00039475612,0.00019499345,0.00040690647,0.000045637204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056044148,0.000030482039,0.0007912604,0.00032893772,0.0003091037,0.000006564587,0.00040939188,0.0011049549,0.000001520376,0.99260694,0.00036162467,0.0039931587],"study_design_scores_gemma":[0.00096383085,0.00015027699,0.00044782233,0.00042175315,0.00013824078,0.000001394473,0.00079002226,0.06709102,0.0000056093695,0.83469826,0.09437381,0.00091794267],"about_ca_topic_score_codex":0.0012607129,"about_ca_topic_score_gemma":0.0023140023,"teacher_disagreement_score":0.58720577,"about_ca_system_score_codex":0.0002504264,"about_ca_system_score_gemma":0.00009340739,"threshold_uncertainty_score":0.9998611},"labels":[],"label_agreement":null},{"id":"W7162143925","doi":"10.82308/5882","title":"Impact of a carbon market on afforestation incentives : a real option approach","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Afforestation; Revenue; Carbon sequestration; Profitability index; Carbon offset; Incentive; Subsidy; Carbon credit; Greenhouse gas","score_opus":0.01636616771906695,"score_gpt":0.24513024610250567,"score_spread":0.2287640783834387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162143925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.627758,0.000811743,0.000021036318,0.0000021283702,0.00009313062,0.00017727574,0.00009867142,0.00001674121,0.37102124],"genre_scores_gemma":[0.9473028,0.0024375208,0.0002701991,0.0000028690886,0.00007216932,0.000034040924,0.0046814843,0.000033071217,0.045165826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986689,0.000016645941,0.0006556166,0.00040944997,0.0000671162,0.00018226242],"domain_scores_gemma":[0.9988308,0.000022735554,0.0008139532,0.00024189697,0.00004887242,0.000041758758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019105819,0.00024714912,0.00055818306,0.00072713586,0.00003813918,0.00004229623,0.00011577614,0.00024903723,0.00023875159],"category_scores_gemma":[0.000016009095,0.00023281478,0.00047355925,0.00031929108,0.000025646399,0.00010347928,0.000008132405,0.00012980959,0.00002198261],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077786075,0.0015478452,0.116866775,0.00038986822,0.0012007081,0.0000029709774,0.0020596397,0.0016004195,0.0001204522,0.86916333,0.00502352,0.0012465994],"study_design_scores_gemma":[0.0005354526,0.0003335333,0.92987037,0.000047376823,0.000088035296,2.9360174e-7,0.00040127485,0.038663153,0.00009867966,0.029432548,0.00006119512,0.0004681075],"about_ca_topic_score_codex":0.013864441,"about_ca_topic_score_gemma":0.0006771273,"teacher_disagreement_score":0.8397308,"about_ca_system_score_codex":0.0002262003,"about_ca_system_score_gemma":0.000032573218,"threshold_uncertainty_score":0.9927023},"labels":[],"label_agreement":null},{"id":"W787367626","doi":"","title":"Applications of Stochastic Control in Energy Real Options and Market Illiquidity","year":2014,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hamilton–Jacobi–Bellman equation; Economics; Stochastic control; Futures contract; Transaction cost; Econometrics; Microeconomics; Optimal control; Financial economics; Mathematical economics; Mathematical optimization; Bellman equation","score_opus":0.043329708253077366,"score_gpt":0.25081792013196197,"score_spread":0.2074882118788846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W787367626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733207,0.0011579938,0.024097987,0.0001203065,0.000046398793,0.00015009762,0.0001116925,0.000027299708,0.00096748286],"genre_scores_gemma":[0.99574524,0.0011903435,0.00003432577,0.0000865923,0.00003572868,0.0000044128433,0.000018116702,0.000013932467,0.0028712866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896616,0.00006904143,0.00033991522,0.00036762631,0.000047825215,0.00020941022],"domain_scores_gemma":[0.9991616,0.00010048369,0.00026020774,0.00031636524,0.000040359417,0.00012096005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037647234,0.00014552896,0.00038281837,0.00068244874,0.0000913562,0.000053327374,0.00025468244,0.00011849586,0.00004625799],"category_scores_gemma":[0.000021096224,0.00018240273,0.00010174052,0.00041076695,0.00012974272,0.00046827117,0.00009330282,0.00014342616,0.00004062923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003340349,0.00009784001,0.8338328,0.000017245264,0.00005568305,0.0000028111817,0.00011354245,0.00013928194,0.00003277694,0.16549593,7.639678e-7,0.00017789254],"study_design_scores_gemma":[0.0013659132,0.00008755688,0.9776241,0.000030090881,0.000057770347,0.000002776123,0.000087602246,0.00023524252,0.000030550582,0.017485445,0.002693591,0.00029932807],"about_ca_topic_score_codex":0.00010136351,"about_ca_topic_score_gemma":0.0023725587,"teacher_disagreement_score":0.14801049,"about_ca_system_score_codex":0.000093922674,"about_ca_system_score_gemma":0.00001336098,"threshold_uncertainty_score":0.74381673},"labels":[],"label_agreement":null},{"id":"W831506228","doi":"10.1016/j.ijpe.2015.06.028","title":"Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis","year":2015,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Upgrade; Computer science; Key (lock); Software; Decision analysis; Decision model; Risk analysis (engineering); Process management; Knowledge management; Software engineering; Business; Computer security; Economics","score_opus":0.06042362768357253,"score_gpt":0.3046082604375258,"score_spread":0.24418463275395327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W831506228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68782026,0.0020449618,0.30768347,0.0008682694,0.0012035741,0.00017367031,0.00013750825,0.0000252488,0.00004300876],"genre_scores_gemma":[0.84671664,0.014462746,0.1364057,0.00010071629,0.0008533235,0.000022846772,0.0001831325,0.00003794275,0.0012169722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983574,0.000024237226,0.000996152,0.0003787222,0.0000817774,0.000161676],"domain_scores_gemma":[0.99797744,0.000062160994,0.0011119569,0.00015989684,0.0004947712,0.00019376467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010388873,0.00017965815,0.0004910119,0.0011254839,0.00011000358,0.00023899287,0.00030117773,0.00009153406,0.000025964273],"category_scores_gemma":[0.0008572165,0.0001813015,0.00034590624,0.00018902984,0.00007222638,0.0012685284,0.00006219706,0.0002102982,0.000007766938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057194027,0.0003552003,0.073522724,0.00001018519,0.0029424438,0.0000044264293,0.005730265,0.83817667,0.000015289193,0.052298035,0.0012470597,0.025125757],"study_design_scores_gemma":[0.0014327267,0.00030192372,0.003500269,0.000042931613,0.00041289083,0.00006239831,0.0021166573,0.8089214,0.00016407002,0.17888038,0.0037282077,0.0004361636],"about_ca_topic_score_codex":0.00010126331,"about_ca_topic_score_gemma":0.00011715006,"teacher_disagreement_score":0.17127778,"about_ca_system_score_codex":0.0005139751,"about_ca_system_score_gemma":0.00009643183,"threshold_uncertainty_score":0.73932606},"labels":[],"label_agreement":null},{"id":"W855529265","doi":"10.2139/ssrn.1012981","title":"Economic Depreciation and Corporate Investment","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Depreciation (economics); Business; Investment (military); Monetary economics; Economics; Finance; Financial economics; Industrial organization; Microeconomics; Capital formation","score_opus":0.017256300999733177,"score_gpt":0.20708200330707258,"score_spread":0.1898257023073394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W855529265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9333379,0.057600453,0.0029563156,0.000389348,0.00025791902,0.000081013226,0.0000064639785,0.000017218643,0.005353354],"genre_scores_gemma":[0.9598994,0.037168078,0.00013842656,0.0002630557,0.00024585085,0.0000017153482,0.000007751805,0.000015305897,0.0022603825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982972,0.000008919635,0.00046414413,0.00020553633,0.000027016335,0.000997182],"domain_scores_gemma":[0.99924153,0.000019944964,0.0005198623,0.000107098705,0.000012487655,0.00009909233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021628863,0.00011243805,0.00021081463,0.00027012138,0.00016119331,0.00007816361,0.00010051383,0.00006398075,0.00006789359],"category_scores_gemma":[0.00001650086,0.00011735844,0.0000955006,0.000096326075,0.00004303336,0.00024350111,0.000023489905,0.000442124,0.00027812645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011392551,0.00001794523,0.046381198,0.0000011280246,0.00012208323,0.0000012477606,0.000080571255,0.000021692164,0.00001307188,0.95210105,0.00007541916,0.0011731863],"study_design_scores_gemma":[0.0004214874,0.00010414722,0.01566261,0.0000022478382,0.000016494569,0.000059316484,0.00026626835,0.00061585003,0.000052501495,0.97938985,0.003253648,0.00015556367],"about_ca_topic_score_codex":0.00019574954,"about_ca_topic_score_gemma":0.0021337017,"teacher_disagreement_score":0.030718585,"about_ca_system_score_codex":0.0010263198,"about_ca_system_score_gemma":0.00014064623,"threshold_uncertainty_score":0.47857383},"labels":[],"label_agreement":null},{"id":"W89567011","doi":"10.2139/ssrn.559943","title":"A Dynamic Model of Corporate Acquisitions","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Concordia University","funders":"","keywords":"Business; Accounting","score_opus":0.024197214481615558,"score_gpt":0.20874605641773544,"score_spread":0.1845488419361199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W89567011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86518484,0.07088076,0.054608338,0.000380116,0.0001551159,0.000093966424,0.000049606464,0.000017851666,0.008629415],"genre_scores_gemma":[0.9676578,0.026457673,0.00056668604,0.000053289157,0.000012487265,0.000002457739,0.000005310282,0.000013557851,0.0052307528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985872,0.0000136892995,0.0004311021,0.00014360344,0.00003443122,0.0007899987],"domain_scores_gemma":[0.999247,0.000008682275,0.0005126776,0.00014384408,0.000035091773,0.000052674677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085420924,0.000093814095,0.00024654533,0.00024384343,0.00010693408,0.000024761017,0.00012808885,0.000050984065,0.00013816556],"category_scores_gemma":[0.000026859863,0.00009625501,0.00020806973,0.00023529245,0.000045687273,0.00015249684,0.000009635437,0.00043117983,0.00011158755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004211208,0.00005654996,0.00127201,0.0000018653337,0.00013550956,3.8684294e-7,0.000058046087,0.0022862463,0.00010918237,0.99599874,0.00002875208,0.00004847515],"study_design_scores_gemma":[0.00028725603,0.00006783483,0.0001059832,0.0000028155396,0.000021074671,0.00002724095,0.00020174749,0.052591704,0.000032532433,0.9464315,0.00012284916,0.00010743131],"about_ca_topic_score_codex":0.00002513183,"about_ca_topic_score_gemma":0.00015778493,"teacher_disagreement_score":0.10247296,"about_ca_system_score_codex":0.00036396974,"about_ca_system_score_gemma":0.00029566465,"threshold_uncertainty_score":0.39251655},"labels":[],"label_agreement":null}]}