{"meta":{"query_hash":"10f762f221cc","filters":{"venue":"Technology and Investment"},"cohort_total":229,"direct_labels_cover":1,"predictions_cover":229,"exported":229,"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/10f762f221cc","api":"https://metacan.xera.ac/api/v1/cohort?venue=Technology+and+Investment"},"results":[{"id":"W1488982679","doi":"10.4236/ti.2015.62013","title":"Quantitative Research on Trade in Value-Added and Emissions Responsibility in Global Value Chain","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Greenhouse gas; Value (mathematics); Database transaction; Fragmentation (computing); Business; Added value; Emissions trading; Global value chain; Transaction cost; International trade; Natural resource economics; Environmental economics; Industrial organization; Economics; Environmental science; Computer science; Mathematics; Comparative advantage; Statistics; Finance","score_opus":0.0674660364177527,"score_gpt":0.3794251906397967,"score_spread":0.311959154222044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488982679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98617846,0.00023992639,0.0000040664368,0.0050628525,0.00001683156,0.00047095603,0.000005209655,0.000028976436,0.007992696],"genre_scores_gemma":[0.9984371,0.000025158844,0.0009577438,0.00043511705,0.000002154185,0.000044760916,0.0000014908592,0.0000045540614,0.00009192984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998298,0.0004266026,0.00020690243,0.00044009768,0.00024229196,0.00038610245],"domain_scores_gemma":[0.9993938,0.00011207321,0.000026399695,0.00029191005,0.0000024904475,0.00017329029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019863276,0.00012805562,0.0001731966,0.00017783974,0.00009180109,0.000009362037,0.0001365488,0.00020687091,0.000027760318],"category_scores_gemma":[0.0006552726,0.000109427056,0.0000125041415,0.0007606974,0.0017478627,0.000111821195,0.00033312,0.0003896433,0.000016665943],"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":[0.0003501659,0.00058508536,0.72897714,0.0000089170435,0.0000041175504,0.00004877553,0.0017880915,0.00018520044,0.0012783307,0.26429576,0.00032497314,0.0021534301],"study_design_scores_gemma":[0.00071815506,0.0008869352,0.58992153,0.000018843913,0.0000015606513,0.000006590425,0.005230323,0.00072730903,0.00096859236,0.40085557,0.0005581397,0.00010646819],"about_ca_topic_score_codex":0.0005486188,"about_ca_topic_score_gemma":0.0003049002,"teacher_disagreement_score":0.13905564,"about_ca_system_score_codex":0.001169434,"about_ca_system_score_gemma":0.00003850476,"threshold_uncertainty_score":0.64400727},"labels":[],"label_agreement":null},{"id":"W1577579597","doi":"10.4236/ti.2015.62012","title":"Research on Self-Operated Business Risk Control of Futures Company","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Banking stability, regulation, efficiency","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":"Government of Jiangsu Province","keywords":"Futures contract; Profit (economics); China; Business; Risk Control; Forward market; Business risks; Control (management); Risk management; Finance; Economics; Management; Risk analysis (engineering); Microeconomics","score_opus":0.045381383629481215,"score_gpt":0.2760227957207283,"score_spread":0.23064141209124708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577579597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896796,0.0037237634,0.00031523826,0.0012331465,0.00012675338,0.0002808497,0.000034334258,0.00010190563,0.004504459],"genre_scores_gemma":[0.9991677,0.000077201665,0.0005229781,0.00012158858,0.000021350445,0.000027150018,0.000003529286,0.000008568174,0.0000499314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990277,0.00005005453,0.00034615415,0.00030369242,0.00005636388,0.00021601231],"domain_scores_gemma":[0.99917763,0.000058301983,0.00015906768,0.0003690445,0.00019012627,0.000045818695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013008399,0.0000944131,0.0002772286,0.0006913197,0.00013669454,0.000013585599,0.0001797119,0.00019417891,0.000022216496],"category_scores_gemma":[0.00027156473,0.00009157013,0.000017472581,0.0009560894,0.00044748283,0.000054154636,0.00005823783,0.00022476543,0.000048347258],"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":[0.000021173422,0.00022393694,0.11639885,0.000012232927,0.000027852415,5.7512233e-7,0.00024821868,0.00025072155,0.000016054559,0.88204014,0.0003914364,0.00036877627],"study_design_scores_gemma":[0.0018180796,0.00052554713,0.3863573,0.0000183798,0.000008605679,0.0000036752351,0.00035058314,0.0050805984,0.000632642,0.592137,0.012891488,0.00017610013],"about_ca_topic_score_codex":0.0001694347,"about_ca_topic_score_gemma":0.000017506281,"teacher_disagreement_score":0.2899032,"about_ca_system_score_codex":0.00009583962,"about_ca_system_score_gemma":0.0000419934,"threshold_uncertainty_score":0.37341216},"labels":[],"label_agreement":null},{"id":"W1674232970","doi":"10.4236/ti.2014.52010","title":"Being Efficient to Stay Strong in a Weak Economy. The Case of Calabrian Manufacturing Firms","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Growth and Productivity","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":"Regione Calabria","keywords":"Lagging; Frontier; Production–possibility frontier; Stochastic frontier analysis; Production (economics); Work (physics); Economics; Panel data; Econometrics; Business; Agricultural economics; Macroeconomics; Statistics; Geography; Mathematics; Engineering","score_opus":0.012697492210826602,"score_gpt":0.1992100893138303,"score_spread":0.1865125971030037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674232970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976244,0.00033228926,0.00045067674,0.0028725571,0.00009688122,0.0002532073,0.000010460996,0.000023041468,0.019716907],"genre_scores_gemma":[0.99909115,0.0000068763197,0.0003808303,0.0003514956,0.00002298468,0.000039484934,9.4694485e-7,0.000007821638,0.00009842184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990253,0.000014572886,0.00039436098,0.00032744536,0.000005582983,0.00023274],"domain_scores_gemma":[0.99941444,0.000041039908,0.00014201725,0.00034751935,0.000005234169,0.000049724964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067328877,0.00010768708,0.0002671512,0.00039364002,0.00008448411,0.000014014292,0.0001402726,0.00009542093,0.00003183482],"category_scores_gemma":[0.000067096626,0.00009980833,0.000027006643,0.00012975647,0.00013394545,0.00005026378,0.00012253638,0.00015892442,0.000034161993],"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":[0.000005733885,0.00003322145,0.033164244,0.000017886154,0.0000151677505,0.0000052668397,0.00029371484,0.00022295257,0.000011587472,0.96311426,0.00003804797,0.00307794],"study_design_scores_gemma":[0.00097245345,0.00032048026,0.022523211,0.00003186993,0.00000892173,0.00015350881,0.0007415695,0.0067651495,0.008870859,0.9148109,0.04441622,0.00038485197],"about_ca_topic_score_codex":0.00030340248,"about_ca_topic_score_gemma":0.00026615232,"teacher_disagreement_score":0.048303332,"about_ca_system_score_codex":0.000063610765,"about_ca_system_score_gemma":0.0000070909773,"threshold_uncertainty_score":0.40700656},"labels":[],"label_agreement":null},{"id":"W1841665163","doi":"10.4236/ti.2015.63014","title":"The Confusion and Countermeasures of Green Accounting in China","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","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":"Confusion; Accounting; Function (biology); Order (exchange); Management accounting; Value (mathematics); Business; China; Cost accounting; Balance (ability); Process (computing); Economics; Political science; Finance; Law; Computer science","score_opus":0.023025809646923,"score_gpt":0.24147500030559674,"score_spread":0.21844919065867374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1841665163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992969,0.00067823177,0.0000031215106,0.002383849,0.000058990023,0.00018216218,2.2380023e-7,0.00004957704,0.0036748976],"genre_scores_gemma":[0.9994474,0.00001591769,0.000034264147,0.00036040848,0.000038280396,0.000010151467,8.32817e-7,0.0000057037696,0.00008702839],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931276,0.000009881271,0.00025941015,0.00015012544,0.00012411707,0.00014369481],"domain_scores_gemma":[0.99948657,0.000029138233,0.0002531363,0.00014218657,0.000081464925,0.0000074864847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010986837,0.00008100833,0.00013942817,0.00021549569,0.00012041054,0.000043396616,0.000094983145,0.00008805476,0.0000017503338],"category_scores_gemma":[0.0006637928,0.000059419457,0.000011453412,0.00037536593,0.00038269418,0.00020156792,0.00026339086,0.000117964104,0.0000021090925],"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":[0.000053463635,0.000027694901,0.70189977,0.00004793125,0.000010132498,0.000008482814,0.00021987312,0.0000011671664,0.0013778335,0.26946887,0.00010598087,0.026778834],"study_design_scores_gemma":[0.00087724894,0.000044777957,0.34316796,0.00009513335,0.00002598465,0.000011082423,0.003081874,0.0013874852,0.00047214143,0.6318572,0.018794082,0.00018504828],"about_ca_topic_score_codex":0.00085470447,"about_ca_topic_score_gemma":0.0006914622,"teacher_disagreement_score":0.3623883,"about_ca_system_score_codex":0.000022272578,"about_ca_system_score_gemma":0.00003493382,"threshold_uncertainty_score":0.24230552},"labels":[],"label_agreement":null},{"id":"W192193197","doi":"10.4236/ti.2019.101001","title":"Evaluation of Public R&amp;amp;D Policy: A Meta-Regression Analysis","year":2019,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation Policy and R&D","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":"Economics; Meta-regression; Public economics; Public policy; Tax credit; Meta-analysis; Empirical research; Regression analysis; Market failure; Econometric model; Empirical evidence; Econometric analysis; Macroeconomics; Econometrics; Microeconomics; Economic growth","score_opus":0.18569204217727125,"score_gpt":0.3273355945365823,"score_spread":0.14164355235931103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W192193197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95842475,0.0037141792,0.0010495755,0.007354543,0.00006876874,0.00024904442,0.000040631778,0.00004688964,0.029051615],"genre_scores_gemma":[0.9967079,0.00006260913,0.00088449224,0.00088069256,0.0000146160055,0.00005283308,0.000030050813,0.0000060237257,0.0013607768],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99905425,0.000032456726,0.00042531235,0.00024694673,0.00007405121,0.00016695047],"domain_scores_gemma":[0.9990795,0.000015361753,0.00034971567,0.00040022237,0.00012694941,0.000028218974],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017051207,0.000108148095,0.00043864048,0.0024747043,0.000055421555,0.00001195946,0.000121773584,0.00019035678,0.001137419],"category_scores_gemma":[0.00025936015,0.00008868747,0.00010750591,0.002196626,0.00012567543,0.00011691111,0.00006625439,0.00009785976,0.0003010302],"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":[0.0000014529829,0.00004745087,0.018953731,0.0000073241304,0.0014845878,2.7373959e-8,0.0000808098,0.000029010498,0.00013767021,0.9778854,0.00024927146,0.0011232402],"study_design_scores_gemma":[0.0005332827,0.000042437325,0.010377534,0.0000038675057,0.0006551112,0.0000016974207,0.00003321743,0.0011476668,0.00076206255,0.8824158,0.10387518,0.00015215475],"about_ca_topic_score_codex":0.00012043804,"about_ca_topic_score_gemma":0.00004174321,"teacher_disagreement_score":0.10362591,"about_ca_system_score_codex":0.00007519417,"about_ca_system_score_gemma":0.000048470378,"threshold_uncertainty_score":0.99977565},"labels":[],"label_agreement":null},{"id":"W1942856013","doi":"10.4236/ti.2015.64016","title":"Portfolio Management: Stock Ranking by Multiple Attribute Decision Making Methods","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":18,"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":"TOPSIS; Portfolio; Stock exchange; Computer science; Operations research; Stock (firearms); Euclidean distance; VIKOR method; Econometrics; Ranking (information retrieval); Project portfolio management; Business; Multiple-criteria decision analysis; Economics; Financial economics; Project management; Mathematics; Finance; Artificial intelligence; Engineering; Management","score_opus":0.17211226527814563,"score_gpt":0.4615305446653097,"score_spread":0.289418279387164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942856013","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":[0.41826037,0.0042254007,0.5667971,0.0009733515,0.0009985843,0.00080512225,0.000023038003,0.00045652388,0.0074605625],"genre_scores_gemma":[0.6394897,0.00003183264,0.3581258,0.0013895134,0.000027490087,0.00006400806,0.0000041285707,0.000024353127,0.0008431509],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99569464,0.00032074988,0.0010947358,0.0010858009,0.0012326167,0.0005714311],"domain_scores_gemma":[0.99663633,0.0011639588,0.0004259204,0.0012874616,0.00026591995,0.00022041718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006222316,0.0003346268,0.00058268226,0.0018169826,0.0003259023,0.00027330162,0.0012148615,0.00036407937,0.000188134],"category_scores_gemma":[0.004027754,0.0002635855,0.00009137136,0.0020502526,0.00035238094,0.0004102824,0.0014896278,0.00033387254,0.00020226066],"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":[0.00012454494,0.00011171782,0.014623575,0.0000057089524,0.000064088636,0.00009169646,0.00023683903,0.000047289774,0.0010457229,0.053663205,0.0819273,0.84805834],"study_design_scores_gemma":[0.0022158967,0.00015662395,0.00251473,0.00012078819,0.000040439787,0.00010176135,0.0012454994,0.010067739,0.0020234187,0.6184448,0.36264288,0.00042540606],"about_ca_topic_score_codex":0.000004895084,"about_ca_topic_score_gemma":0.000004652234,"teacher_disagreement_score":0.8476329,"about_ca_system_score_codex":0.00013171189,"about_ca_system_score_gemma":0.00003517854,"threshold_uncertainty_score":0.99998164},"labels":[],"label_agreement":null},{"id":"W1966230106","doi":"10.4236/ti.2012.31007","title":"Risk Management of IT Service Management Project Implementation with Killer Assumptions","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Software Engineering Techniques and Practices","field":"Computer Science","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":"National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Process management; Knowledge management; Service (business); Order (exchange); Process (computing); Risk management; Project risk management; Risk analysis (engineering); Project management; Business; Project management triangle; Marketing; Systems engineering","score_opus":0.01986885963661587,"score_gpt":0.29609844662790546,"score_spread":0.2762295869912896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966230106","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":[0.20695043,0.0010638296,0.76666194,0.0045500747,0.0002907777,0.00184192,0.000007655749,0.0016943096,0.016939059],"genre_scores_gemma":[0.3939933,0.00088020955,0.6043459,0.00041838482,0.000007866968,0.00026517347,0.000004206155,0.000007949759,0.00007700947],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993405,0.000020803727,0.00014486288,0.00017564096,0.00011746942,0.00020077567],"domain_scores_gemma":[0.99944454,0.000017656173,0.00011371985,0.00036921888,0.000025191453,0.000029695117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023654266,0.000105965024,0.00009325359,0.0002767421,0.00007798713,0.000015972793,0.00025326182,0.000053329546,0.000010341923],"category_scores_gemma":[0.0000014571194,0.0000863078,0.000012117941,0.0005876336,0.000036385878,0.00033857068,0.00026382523,0.00009165617,0.000006415703],"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":[0.0000051900342,0.00010066943,0.008236575,0.00011054202,0.00020249069,0.0000042868055,0.00037745322,0.000012572379,0.000010651741,0.9356612,0.0013912152,0.053887155],"study_design_scores_gemma":[0.0026560952,0.0012912259,0.11581628,0.00036386677,0.0006611355,0.00015024039,0.0044248207,0.0019750705,0.008820807,0.058637165,0.80407983,0.0011234751],"about_ca_topic_score_codex":0.000031960335,"about_ca_topic_score_gemma":0.0000052680334,"teacher_disagreement_score":0.87702405,"about_ca_system_score_codex":0.000025966892,"about_ca_system_score_gemma":0.0000057149923,"threshold_uncertainty_score":0.351953},"labels":[],"label_agreement":null},{"id":"W1969420428","doi":"10.4236/ti.2013.41b013","title":"Heterogeneous Fleet Vehicle Routing Problem with Selec-tion of Inter-Depots","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Vehicle Routing Optimization Methods","field":"Engineering","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":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"Computer science; Routing (electronic design automation); Vehicle routing problem; Operations research; Transport engineering; Computer network; Mathematics; Engineering","score_opus":0.007930304799182148,"score_gpt":0.21131050886032393,"score_spread":0.2033802040611418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969420428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.957033,0.00020051531,0.040718254,0.0001968585,0.000026794143,0.0002728541,8.4981224e-7,0.0005603514,0.0009905527],"genre_scores_gemma":[0.9050645,0.00001429662,0.0947415,0.000073699535,0.0000064755227,0.00005235513,0.0000018612476,0.00001929621,0.000026012069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994215,0.000021417463,0.00019406664,0.00013594994,0.000052393953,0.0001747054],"domain_scores_gemma":[0.9996978,0.000014983855,0.00005111544,0.00015822986,0.00004390215,0.000033937642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009551648,0.00010990882,0.00014574372,0.00016413604,0.000040594437,0.000010972805,0.00007713805,0.00012944793,0.000019443049],"category_scores_gemma":[0.000013298621,0.000096199044,0.000011943946,0.00026756607,0.00010280079,0.00007985253,0.000042869757,0.00012559112,0.00000846224],"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":[0.000039894698,0.00028480616,0.077804595,0.0007012862,0.0006808507,0.000022869828,0.0022063148,0.43242577,0.25094408,0.08994264,0.0007576047,0.14418931],"study_design_scores_gemma":[0.0010613875,0.0006477068,0.0026542165,0.00022142782,0.000049282822,0.00013812809,0.00026261492,0.606511,0.3731173,0.014442356,0.00044423674,0.00045034706],"about_ca_topic_score_codex":0.000009044139,"about_ca_topic_score_gemma":0.000002598339,"teacher_disagreement_score":0.17408524,"about_ca_system_score_codex":0.000031746826,"about_ca_system_score_gemma":0.0000069702455,"threshold_uncertainty_score":0.3922883},"labels":[],"label_agreement":null},{"id":"W1970325903","doi":"10.4236/ti.2011.21001","title":"Non-Standard Securitizations: Their Economic and Financial Applications Potential","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Banking stability, regulation, efficiency","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":"Securitization; Business; Recession; Loan; Commodity; Finance; Financial market; Great recession; Payment; Financial system; Economics; Macroeconomics","score_opus":0.011939676203095193,"score_gpt":0.19624006111453782,"score_spread":0.18430038491144263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970325903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97113895,0.003992787,0.016170323,0.000580717,0.00013044826,0.0005226455,0.00011468476,0.00012839591,0.0072210412],"genre_scores_gemma":[0.99707526,0.00027939747,0.0022228004,0.00018945013,0.000028797456,0.00014213966,0.000009475527,0.00000987064,0.000042810556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991738,0.000004073297,0.00030343974,0.0003449925,0.0000114679115,0.00016221532],"domain_scores_gemma":[0.9995518,0.0000070513534,0.0001238967,0.0002654448,0.000015798125,0.000036036607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017480236,0.000108192115,0.0001907492,0.00030934965,0.00020067964,0.000022047505,0.00011752918,0.00016822593,0.00010326776],"category_scores_gemma":[0.000014755527,0.0001215236,0.00002386926,0.00016780115,0.00040494982,0.00012764258,0.000083042374,0.000091768365,0.000040120547],"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":[0.0000046445753,0.000040392002,0.01838911,0.000009584718,0.000008765354,2.6179427e-7,0.00034869695,0.0000035809871,0.0000082633715,0.9789641,0.00007011678,0.0021524988],"study_design_scores_gemma":[0.0003097807,0.00010824104,0.041296005,0.000005029502,0.000005420887,0.000009444042,0.00007958343,0.0006933063,0.00034067375,0.9378797,0.01912146,0.00015138237],"about_ca_topic_score_codex":0.000023448172,"about_ca_topic_score_gemma":0.000016155285,"teacher_disagreement_score":0.041084412,"about_ca_system_score_codex":0.000058016834,"about_ca_system_score_gemma":0.00002579798,"threshold_uncertainty_score":0.49555886},"labels":[],"label_agreement":null},{"id":"W1970588096","doi":"10.4236/ti.2012.31003","title":"Privacy Negotiation in Socio-Technical Systems","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Security and Verification in Computing","field":"Computer Science","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":"Negotiation; Sociotechnical system; Computer science; Work (physics); Internet privacy; Service provider; Service (business); World Wide Web; Computer security; Knowledge management; Business; Sociology; Marketing; Engineering","score_opus":0.024596727388750773,"score_gpt":0.26425046293530696,"score_spread":0.2396537355465562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970588096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86211956,0.0036382622,0.1255873,0.005176176,0.00054030603,0.00030912604,3.171852e-7,0.00064826995,0.0019807066],"genre_scores_gemma":[0.98874307,0.000022324075,0.010718687,0.00042839575,0.000033273864,0.000034862886,8.3755083e-7,0.0000024977285,0.000016073169],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99935645,0.000034722234,0.00016821235,0.0001638943,0.000071775634,0.00020494327],"domain_scores_gemma":[0.9995785,0.00003323847,0.000057950903,0.0002768929,0.000014019573,0.000039421837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031115187,0.00006599655,0.0000910302,0.00023050359,0.00008021553,0.000026508378,0.0002874239,0.00015665959,0.0000016567901],"category_scores_gemma":[0.00004105654,0.000063787804,0.000010573054,0.00040331433,0.00007876094,0.00026683247,0.00021052647,0.00015537796,0.0000206169],"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":[4.142435e-7,0.000050084043,0.016668517,0.000006415044,0.000002088537,4.977823e-7,0.00035935632,0.0000046119826,0.00027825264,0.9808434,0.00018924623,0.0015970939],"study_design_scores_gemma":[0.0018894606,0.00037499022,0.2483783,0.00020245652,0.000018886463,0.00037654096,0.0010494484,0.08607426,0.00813779,0.5330762,0.11938535,0.0010362708],"about_ca_topic_score_codex":0.0000064825026,"about_ca_topic_score_gemma":3.940269e-7,"teacher_disagreement_score":0.4477672,"about_ca_system_score_codex":0.000063689404,"about_ca_system_score_gemma":0.00001678043,"threshold_uncertainty_score":0.2601191},"labels":[],"label_agreement":null},{"id":"W1970902320","doi":"10.4236/ti.2013.44028","title":"Inter-Industry Productivity Spillovers from Japanese and US FDI in Mexico’s Manufacturing Sector","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"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":"Productivity; Foreign direct investment; Upstream (networking); Investment (military); Manufacturing; Business; International trade; Economics; International economics; Economic geography; Industrial organization; Economic growth; Macroeconomics","score_opus":0.028765107344263716,"score_gpt":0.18861468472091275,"score_spread":0.15984957737664904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970902320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905745,0.0008794129,0.0000030201547,0.0027844952,0.00016069777,0.00023655182,0.000029944304,0.0000525174,0.0052788835],"genre_scores_gemma":[0.9984742,0.00010092298,0.0003527382,0.0007741993,0.000029744131,0.000042930107,0.000003659227,0.00000990399,0.00021173868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990289,0.0000056130957,0.00027841268,0.0004313482,0.000010336132,0.00024535527],"domain_scores_gemma":[0.9995705,0.000013734862,0.0001054599,0.00024346242,0.0000037600603,0.00006307181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010100207,0.00014367008,0.0002822117,0.0002750576,0.000043979577,0.00003592411,0.00011366457,0.0003464701,0.0001930691],"category_scores_gemma":[0.00003119071,0.00015793253,0.000020258116,0.00008998704,0.00017049722,0.00025317434,0.0001244382,0.00033349503,0.00014807231],"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":[0.000009363582,0.00010463599,0.9052017,0.00002106774,0.00006633638,0.0000070334904,0.00038019175,0.000010605682,0.00024247394,0.09149196,0.0005404895,0.0019241476],"study_design_scores_gemma":[0.0007826521,0.00013008539,0.48745567,0.000028328608,0.00000604124,0.000016279104,0.0005607468,0.0003779294,0.010521049,0.4818196,0.017909024,0.0003926026],"about_ca_topic_score_codex":0.0014689779,"about_ca_topic_score_gemma":0.00011263154,"teacher_disagreement_score":0.41774604,"about_ca_system_score_codex":0.00008840084,"about_ca_system_score_gemma":0.00000491607,"threshold_uncertainty_score":0.64403015},"labels":[],"label_agreement":null},{"id":"W1972566397","doi":"10.4236/ti.2012.34029","title":"Equity Market or Bond Market—Which Matters the Most for Investment? Revisiting Tobin’s q Theory of Investment","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Banking stability, regulation, efficiency","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":"Bond; Economics; Tobin's q; Equity (law); Investment (military); Bond market; Econometrics; Financial economics; Monetary economics; Finance","score_opus":0.03041206963363273,"score_gpt":0.253304660547087,"score_spread":0.22289259091345426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972566397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8461952,0.021335041,0.0029577434,0.021176415,0.00085751305,0.0036285287,0.00031731997,0.00029787017,0.10323438],"genre_scores_gemma":[0.9819221,0.00017628071,0.0054255375,0.010314615,0.00009481847,0.00040284323,0.000016583243,0.00004129531,0.0016059366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979401,0.00007163555,0.0008498698,0.0004667254,0.0000741812,0.0005974473],"domain_scores_gemma":[0.9981768,0.0003216374,0.0005870056,0.00075720315,0.000062281884,0.00009504994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036615417,0.00026290183,0.00048171225,0.0003840965,0.00030222267,0.000036286423,0.0004126588,0.000255916,0.00038699462],"category_scores_gemma":[0.00067826326,0.00021001561,0.00007651479,0.0006969777,0.0005992394,0.00022732474,0.00038415322,0.0001973293,0.000015920727],"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":[0.000057450754,0.00014596361,0.03183804,0.00015128542,0.000083523184,2.2313012e-7,0.00044208832,0.0000018335888,0.00004407512,0.95700395,0.008674663,0.0015569163],"study_design_scores_gemma":[0.00088271056,0.00026328192,0.064334,0.000081688355,0.000056470915,0.000017654085,0.00060231035,0.00065127417,0.00097391877,0.83751416,0.09424476,0.00037775098],"about_ca_topic_score_codex":0.00002555325,"about_ca_topic_score_gemma":0.000011595839,"teacher_disagreement_score":0.1357269,"about_ca_system_score_codex":0.00022221246,"about_ca_system_score_gemma":0.00005322139,"threshold_uncertainty_score":0.8564188},"labels":[],"label_agreement":null},{"id":"W1973816763","doi":"10.4236/ti.2014.54016","title":"Product Portfolio Management—Governance for Commercial and Technical Portfolios over Life Cycle","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","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":"Product lifecycle; Context (archaeology); Portfolio; New product development; Corporate governance; Product (mathematics); Business; Process management; Product life-cycle management; Project portfolio management; Industrial organization; Computer science; Marketing; Economics; Project management; Finance; Management","score_opus":0.009714261732850081,"score_gpt":0.22612403672078915,"score_spread":0.21640977498793906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973816763","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":[0.26547265,0.0007290353,0.0011145899,0.012887691,0.00060632447,0.0020806624,0.000004599157,0.0008737944,0.7162307],"genre_scores_gemma":[0.9809865,0.000045168297,0.0014076455,0.015733086,0.00037637897,0.00023442082,0.0000185904,0.000025079184,0.0011731851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882215,0.000004601206,0.00030083637,0.000434459,0.00013075178,0.00030719113],"domain_scores_gemma":[0.9993964,0.000009973945,0.00018866616,0.00031459783,0.000071440125,0.000018954763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003731458,0.00020551946,0.00023366857,0.000449468,0.00025211019,0.00008436494,0.00018978787,0.000113451744,0.00004994162],"category_scores_gemma":[0.000095537835,0.00019281065,0.00003222138,0.0005786164,0.00023719607,0.0002587528,0.0004247279,0.00012928879,0.00003293587],"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":[0.000025974656,0.00008844445,0.0049161753,0.00015595093,0.00003542104,0.0000022055287,0.0000032082764,4.0544148e-7,0.00004937075,0.9531422,0.017487196,0.02409345],"study_design_scores_gemma":[0.0013965631,0.000048000897,0.045981187,0.000041439594,0.00009144586,0.000004564113,0.00005736155,0.0007619976,0.00007153539,0.21380644,0.7374228,0.0003166628],"about_ca_topic_score_codex":0.0000074659233,"about_ca_topic_score_gemma":0.000012246453,"teacher_disagreement_score":0.7393358,"about_ca_system_score_codex":0.00002184317,"about_ca_system_score_gemma":0.0000070258034,"threshold_uncertainty_score":0.78625906},"labels":[],"label_agreement":null},{"id":"W1974569199","doi":"10.4236/ti.2011.22013","title":"Are Trading Rules Profitable in Exchange-Traded Funds?","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","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":"Profitability index; Algorithmic trading; Business; Alternative trading system; Trading strategy; Balance (ability); Financial economics; Economics; Monetary economics; Finance","score_opus":0.07100256930014866,"score_gpt":0.21382213623908028,"score_spread":0.1428195669389316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974569199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8518914,0.007159404,0.000024917143,0.00072133064,0.00014179003,0.00025079894,0.00001834426,0.000102223625,0.13968979],"genre_scores_gemma":[0.9965801,0.00034994364,0.001410617,0.00087525696,0.000019915504,0.00013097232,0.0000032993692,0.000014850816,0.0006149932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989105,0.000008380826,0.00036491023,0.00035977634,0.000018771956,0.0003376694],"domain_scores_gemma":[0.99949044,0.000007870529,0.00023088841,0.00021746442,0.0000071279064,0.000046219724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023382869,0.00015901287,0.00033040647,0.0006544473,0.00009117997,0.000019762467,0.00015682902,0.00021414495,0.00027466353],"category_scores_gemma":[0.000040120467,0.00016837969,0.000030611314,0.00033253207,0.00024066793,0.00023287315,0.000064383974,0.00017531136,0.000081859405],"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":[0.000009089805,0.000071053095,0.1442705,0.000032357904,0.00001230467,0.000011930556,0.0002956189,5.347708e-8,0.000019948466,0.8544441,0.0004977671,0.00033526827],"study_design_scores_gemma":[0.00038742795,0.00011797641,0.24277699,0.000035127705,0.0000028310164,0.0000053143153,0.0003252706,0.0000764794,0.0004996365,0.7431623,0.012421625,0.0001890277],"about_ca_topic_score_codex":0.00009316822,"about_ca_topic_score_gemma":0.000037206315,"teacher_disagreement_score":0.14468876,"about_ca_system_score_codex":0.000054905922,"about_ca_system_score_gemma":0.000009140695,"threshold_uncertainty_score":0.68663245},"labels":[],"label_agreement":null},{"id":"W1975651417","doi":"10.4236/ti.2010.14029","title":"A Comparison of Stock Market Efficiency of the BRIC Countries","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":46,"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":"BRIC; Profitability index; Stock market; Financial economics; Stock market index; Stock (firearms); Econometrics; Economics; Index (typography); China; Emerging markets; Business; Finance; Computer science; Geography","score_opus":0.0366573626404318,"score_gpt":0.24421248567029163,"score_spread":0.20755512302985984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975651417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98549855,0.0011966752,0.00003473135,0.0010443437,0.00017637668,0.00013764342,0.00004510957,0.000014328132,0.011852229],"genre_scores_gemma":[0.9991465,0.000031700234,0.000228354,0.00024042767,0.000009336438,0.0000071040413,6.343512e-7,0.0000042334373,0.0003316837],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99931806,0.000004851276,0.00038785467,0.00013797283,0.000013500746,0.00013777659],"domain_scores_gemma":[0.99932516,0.00002446318,0.00031203474,0.0003107543,0.000005804124,0.00002179954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021805044,0.0000751902,0.00028524478,0.00020093878,0.00006120247,0.000004255918,0.00020179476,0.00013288346,0.00026198302],"category_scores_gemma":[0.000060623974,0.000063357606,0.00003883662,0.00015114617,0.0005201921,0.000043777956,0.00007645541,0.0001594511,0.000015099099],"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":[0.000006486433,0.00006056936,0.45836005,0.000021296502,0.000021756849,5.9406354e-8,0.00019379983,0.000008436728,0.00015979033,0.5397695,0.0012501322,0.00014817725],"study_design_scores_gemma":[0.0010288311,0.00046575378,0.51676655,0.000026931684,0.00002608096,0.000017674058,0.00019694082,0.010410563,0.022960363,0.3680901,0.07968805,0.00032218717],"about_ca_topic_score_codex":0.000068045556,"about_ca_topic_score_gemma":0.000020363317,"teacher_disagreement_score":0.17167938,"about_ca_system_score_codex":0.000010081428,"about_ca_system_score_gemma":0.000009873808,"threshold_uncertainty_score":0.28685305},"labels":[],"label_agreement":null},{"id":"W1975887486","doi":"10.4236/ti.2015.61008","title":"Bundling and Consumers’ Reservation Value: Effects on Market Entry","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","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":"Reservation; Incentive; Microeconomics; Value (mathematics); Deterrence theory; Economics; Industrial organization; Business; Computer science","score_opus":0.019511146057933432,"score_gpt":0.20133079758145228,"score_spread":0.18181965152351884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975887486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92712474,0.00018565939,0.000008042072,0.0010656861,0.00013267624,0.00014200127,3.5768718e-7,0.000106729894,0.07123409],"genre_scores_gemma":[0.9942119,0.000019732146,0.0001706705,0.0052271094,0.00006521213,0.000014502525,0.0000075098105,0.000007927086,0.00027544008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99954146,8.1378624e-7,0.00010502999,0.0001648545,0.000045883942,0.0001419574],"domain_scores_gemma":[0.9997717,0.000020772006,0.000062983265,0.00011013629,0.000019008383,0.000015362219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017495993,0.000094310664,0.00010894222,0.00022858966,0.00007326323,0.00013818235,0.00005817199,0.00009825403,0.000006842183],"category_scores_gemma":[0.00010113987,0.000083008126,0.000009475689,0.00012473493,0.000091952264,0.0008644518,0.00012741674,0.00008144803,0.00004892417],"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":[0.000037927966,0.000029397848,0.032605194,0.00007194606,0.000020325653,0.0000045504953,0.000011991996,0.0000030711897,0.000030193689,0.95019454,0.0057382337,0.0112526445],"study_design_scores_gemma":[0.0012817391,0.00012808343,0.009691489,0.000104824445,0.000030661275,0.0000060269344,0.00046105922,0.003284353,0.00049715966,0.9221898,0.062092457,0.0002323821],"about_ca_topic_score_codex":0.000030105866,"about_ca_topic_score_gemma":0.0000054305906,"teacher_disagreement_score":0.07095865,"about_ca_system_score_codex":0.000020390513,"about_ca_system_score_gemma":0.0000072084267,"threshold_uncertainty_score":0.3384973},"labels":[],"label_agreement":null},{"id":"W1976175225","doi":"10.4236/ti.2010.13024","title":"The Market for Firms: Market Signaling and Overpricing","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Merger and Competition 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":"Dalhousie University","funders":"","keywords":"Ex-ante; Initial public offering; Incentive; Profit (economics); Monetary economics; Business; Economics; Point (geometry); Value (mathematics); Enterprise value; Microeconomics; Finance","score_opus":0.010842303084939553,"score_gpt":0.20256548725185677,"score_spread":0.19172318416691722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976175225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8967521,0.0070687477,0.002779635,0.009479476,0.0003767553,0.00033941516,0.000035682227,0.000107521206,0.08306063],"genre_scores_gemma":[0.9928135,0.0005491089,0.002111246,0.0010840759,0.00003187752,0.00007533569,0.000001942015,0.000007696326,0.0033251697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943835,0.000004552339,0.00020591618,0.0001941229,0.0000119688675,0.00014511745],"domain_scores_gemma":[0.999611,0.00007658458,0.00009007167,0.00017805296,0.000011107698,0.000033143766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004336883,0.00007278678,0.00014337515,0.00016848108,0.00027182978,0.00003615462,0.00009027872,0.00009486737,0.000341421],"category_scores_gemma":[0.000092609735,0.000061326056,0.000032132124,0.00013607106,0.00015837332,0.00004014796,0.000049684204,0.00012302288,0.000008072492],"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":[0.0000073575557,0.000010656866,0.00876822,0.0000066431817,0.000035037854,2.9041797e-7,0.000026336804,2.0869136e-7,0.00023869243,0.98584807,0.0033434972,0.0017149723],"study_design_scores_gemma":[0.0002485747,0.000042282125,0.002827152,0.000004803659,0.000010190559,0.0000048647285,0.00011936218,0.00291045,0.00053448917,0.6062634,0.38692972,0.00010470528],"about_ca_topic_score_codex":0.000007465369,"about_ca_topic_score_gemma":0.00001711864,"teacher_disagreement_score":0.38358623,"about_ca_system_score_codex":0.00000769785,"about_ca_system_score_gemma":0.000004445124,"threshold_uncertainty_score":0.37383205},"labels":[],"label_agreement":null},{"id":"W1976268263","doi":"10.4236/ti.2011.22015","title":"An Integrated Approach for Selecting Information Systems: A Case Study","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","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":"Balanced scorecard; Computer science; Order (exchange); Process (computing); Analytic network process; Quality (philosophy); Decision support system; Process management; Simple (philosophy); Selection (genetic algorithm); Investment (military); Information system; Risk analysis (engineering); Operations research; Management science; Business; Data mining; Analytic hierarchy process; Artificial intelligence; Engineering","score_opus":0.08277338504839148,"score_gpt":0.2765710410333703,"score_spread":0.19379765598497883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976268263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564794,0.00009287969,0.037525795,0.000030864132,0.00016960662,0.0013198804,0.0000067447795,0.00047573613,0.003899147],"genre_scores_gemma":[0.9957525,0.0000012731912,0.0034005432,0.0003928937,0.000057841524,0.00030201732,0.00007063236,0.0000079937,0.000014290899],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9993388,0.000005899174,0.00023189504,0.00018653115,0.00005973759,0.00017714305],"domain_scores_gemma":[0.9994602,0.0000056756758,0.00013756841,0.00022344923,0.00016415009,0.000008923853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028628742,0.00013116481,0.00014009772,0.0005232033,0.0002368288,0.00012146653,0.00016243217,0.00011949953,0.000008106808],"category_scores_gemma":[0.000051871124,0.000104978666,0.000011731144,0.0006046409,0.00008216263,0.0016424474,0.00007980843,0.000108354165,0.000011453603],"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":[0.00011437496,0.001291036,0.049535207,0.00056136673,0.00012858787,0.00006352178,0.001739196,0.000034340632,0.00010002692,0.90261024,0.0013109142,0.04251119],"study_design_scores_gemma":[0.0053832573,0.0020843435,0.0032871978,0.0002359611,0.000964171,0.0033449808,0.4455451,0.24153113,0.0014826764,0.046738554,0.24675055,0.0026520684],"about_ca_topic_score_codex":0.0012494283,"about_ca_topic_score_gemma":0.00003947224,"teacher_disagreement_score":0.8558717,"about_ca_system_score_codex":0.000015272777,"about_ca_system_score_gemma":0.000011761901,"threshold_uncertainty_score":0.4280906},"labels":[],"label_agreement":null},{"id":"W1980668779","doi":"10.4236/ti.2011.23016","title":"Literature Analysis of Innovation Diffusion","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":25,"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 China University of Science and Technology; Natural Science Foundation of Shanghai","keywords":"Scopus; Innovation diffusion; Diffusion theory; Diffusion; Diffusion of innovations; Computer science; Knowledge management; Data science; Industrial organization; Marketing; Business; Management science; Economics; Political science; MEDLINE","score_opus":0.10135397440288044,"score_gpt":0.32839960342637814,"score_spread":0.2270456290234977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980668779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801395,0.000111063135,0.0015670086,0.00031153244,0.0000664557,0.00006817411,0.0000050908893,0.000045541667,0.01768565],"genre_scores_gemma":[0.99523634,0.000006709704,0.0032493304,0.0008029095,0.0000046925416,0.0000057329507,0.000010398447,0.0000024524502,0.0006814569],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988064,0.000026164276,0.0005863364,0.0002248104,0.0002584808,0.00009781463],"domain_scores_gemma":[0.9987884,0.000043053486,0.00032821824,0.0003101749,0.00051314686,0.000016966178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080660405,0.000075154494,0.00021312146,0.0047533037,0.00008231053,0.000016775659,0.00019720911,0.00015829137,0.00034106447],"category_scores_gemma":[0.00083499437,0.000051430994,0.00002975605,0.01725151,0.00020311949,0.00010445819,0.00013035831,0.000108320906,0.00000924254],"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":[0.000009446735,0.000052413307,0.052860893,0.0000014126384,0.000049956983,0.0000014998406,0.0008142683,4.9536186e-7,0.004147406,0.9198987,0.00029056982,0.021872973],"study_design_scores_gemma":[0.0003740716,0.00018367854,0.20548905,0.000026477679,0.00011210504,0.000007069089,0.0010633369,0.0038292203,0.016512876,0.76367915,0.008569436,0.00015353256],"about_ca_topic_score_codex":0.0000030718804,"about_ca_topic_score_gemma":0.0000028969966,"teacher_disagreement_score":0.15621953,"about_ca_system_score_codex":0.0000075841253,"about_ca_system_score_gemma":0.00001267715,"threshold_uncertainty_score":0.82887787},"labels":[],"label_agreement":null},{"id":"W1982969324","doi":"10.4236/ti.2013.43021","title":"Impacts of Smart Grid Concept on Energy Industry","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Smart Grid Energy Management","field":"Engineering","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":"České Vysoké Učení Technické v Praze","keywords":"Smart grid; Environmental economics; Grid; Electricity; Renewable energy; Computer science; Boom; Sustainability; Work (physics); Electricity generation; Business; Industrial organization; Environmental science; Power (physics); Economics; Electrical engineering; Engineering; Mechanical engineering","score_opus":0.006502244830591835,"score_gpt":0.18558073158987298,"score_spread":0.17907848675928115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982969324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849271,0.0006129342,0.000086409054,0.0006501497,0.000314147,0.000096921714,0.0000024061928,0.00037634984,0.012933578],"genre_scores_gemma":[0.998698,0.00006494251,0.0002123585,0.00075161457,0.000036593592,0.00006650609,0.0000035377004,0.000014148952,0.00015228784],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947375,0.0000068984114,0.00014567324,0.00011952065,0.000065844164,0.00018830576],"domain_scores_gemma":[0.9996562,0.000011315077,0.000025056403,0.00024143771,0.000013032643,0.00005293703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028560824,0.00012105809,0.00013957202,0.00025799597,0.000022574432,0.0000055785727,0.000104650586,0.00026694656,0.00011268312],"category_scores_gemma":[0.00000956111,0.000109721375,0.000015896798,0.0001996842,0.00015163177,0.000055375716,0.00006228932,0.00018038083,0.000022148355],"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":[0.0000043030227,0.00007036716,0.0047936933,0.000036262598,0.00018146113,0.0000072398684,0.000071328475,0.0049267206,0.0046052905,0.9055493,0.07159304,0.008161003],"study_design_scores_gemma":[0.001533559,0.0012168253,0.029109325,0.00017269833,0.00005647918,0.00002190001,0.00043180014,0.007422548,0.679875,0.06042831,0.2190043,0.0007272044],"about_ca_topic_score_codex":0.000059752754,"about_ca_topic_score_gemma":0.000006979286,"teacher_disagreement_score":0.84512097,"about_ca_system_score_codex":0.000036840924,"about_ca_system_score_gemma":0.000005149727,"threshold_uncertainty_score":0.4474308},"labels":[],"label_agreement":null},{"id":"W1986685383","doi":"10.4236/ti.2013.41004","title":"Information Communication Technology (ICT) Utilization in Private Universities in Uganda: Exploring Strategies to Improve. A Case of Uganda Christian University","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","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":"Information and Communications Technology; Descriptive statistics; Usability; Government (linguistics); Bivariate analysis; Business; Marketing; Regression analysis; Psychology; Knowledge management; Statistics; Political science; Computer science; Mathematics","score_opus":0.0796757550382911,"score_gpt":0.31064111942385547,"score_spread":0.23096536438556436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986685383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951704,0.00011715052,0.0011188502,0.0025847116,0.00003561137,0.0004282883,0.000008165765,0.00015680799,0.00037997775],"genre_scores_gemma":[0.9978468,0.000091294445,0.001901536,0.00008100463,0.0000010277693,0.000028993087,0.000004838861,0.0000035620164,0.000040969575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9989517,0.000064821106,0.00044617255,0.00020467871,0.00013287405,0.00019976475],"domain_scores_gemma":[0.9990071,0.000054968034,0.00020421718,0.00052747224,0.00016553103,0.00004070737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040515946,0.0001256812,0.00024109535,0.0039544147,0.00012449818,0.00003602642,0.00045712333,0.0003335875,0.000035310804],"category_scores_gemma":[0.00013601912,0.00012304826,0.000018237906,0.00258317,0.00047243456,0.0014311253,0.00040028404,0.00028319264,0.000026419804],"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":[0.00003432758,0.00009167522,0.09223814,0.000012554764,0.000009003343,0.000040447947,0.0037996706,0.00007269794,0.0013826874,0.8791961,0.00008421135,0.023038443],"study_design_scores_gemma":[0.0024096468,0.00053264725,0.19148105,0.0001340044,0.000019638745,0.00014828844,0.5139434,0.0015125902,0.009343887,0.27309656,0.006967439,0.0004108705],"about_ca_topic_score_codex":0.0004788418,"about_ca_topic_score_gemma":0.0005183333,"teacher_disagreement_score":0.6060996,"about_ca_system_score_codex":0.00015470748,"about_ca_system_score_gemma":0.000082902116,"threshold_uncertainty_score":0.5017763},"labels":[],"label_agreement":null},{"id":"W1987914339","doi":"10.4236/ti.2010.12015","title":"Petrochemical Industry: Assessment and Planning Using Multicriteria Decision Aid Methods","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Process Optimization and Integration","field":"Engineering","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":"Petrochemical; Oil refinery; Computer science; Production (economics); Multiple-criteria decision analysis; Linear programming; Integer programming; Operations research; Raw material; Decision support system; Work (physics); Engineering; Artificial intelligence; Waste management; Economics; Algorithm","score_opus":0.021634978107011444,"score_gpt":0.3621576604423197,"score_spread":0.34052268233530825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987914339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85348606,0.00025999607,0.14507195,0.000089384834,0.0001740156,0.000066593915,0.0000010341884,0.00021142814,0.0006395414],"genre_scores_gemma":[0.54288197,0.000013941123,0.4569668,0.00010000922,0.000014029708,0.000009002472,0.0000027114638,0.000006881633,0.000004685433],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995866,0.000007578951,0.00012579646,0.00012902355,0.00004009085,0.00011091904],"domain_scores_gemma":[0.99979115,0.000021520662,0.000019128503,0.00009828267,0.00002233862,0.00004757582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107764354,0.000095704876,0.00010394067,0.00019043087,0.00006350723,0.000024933477,0.000050613286,0.00036949347,0.00002724235],"category_scores_gemma":[0.00006172323,0.00008702271,0.00000695045,0.00013741734,0.00009495591,0.00010081495,0.000044453976,0.0004932913,5.6868674e-7],"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":[0.000010657117,0.00004035972,0.008591672,0.000041411848,0.00004060315,0.0000045061265,0.0002449857,0.001291867,0.8720588,0.06710545,0.00032594582,0.050243717],"study_design_scores_gemma":[0.00060829404,0.000049319988,0.0008978019,0.00006080386,0.000022797327,0.00006207129,0.00029350768,0.8118481,0.16557935,0.0143600125,0.00599392,0.00022403213],"about_ca_topic_score_codex":0.0000011630564,"about_ca_topic_score_gemma":6.3141056e-7,"teacher_disagreement_score":0.81055623,"about_ca_system_score_codex":0.000023524753,"about_ca_system_score_gemma":0.000011177612,"threshold_uncertainty_score":0.3548683},"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":"W1989346920","doi":"10.4236/ti.2014.51007","title":"Business Reasoning for Rapid Productization in Small Enterprises","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","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":"European Regional Development Fund; Tekes; University of Maryland","keywords":"Business; Order (exchange); Quality (philosophy); Product (mathematics); Competitive advantage; Process (computing); Set (abstract data type); Service (business); Marketing; Process management; Computer science; Industrial organization","score_opus":0.014864966446422703,"score_gpt":0.20320377305036055,"score_spread":0.18833880660393784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989346920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97471976,0.00022948284,0.008557032,0.008425603,0.00031225654,0.0005345324,5.1933944e-7,0.00023647047,0.0069843214],"genre_scores_gemma":[0.9953801,0.00002001128,0.0019431845,0.0021295869,0.00028567365,0.0001328336,0.000039749375,0.0000138607675,0.000054989854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993658,0.000003052777,0.00018620699,0.00023608221,0.000036327125,0.00017251815],"domain_scores_gemma":[0.9995661,0.000008741471,0.00012022561,0.00014219186,0.00015959119,0.0000031961752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022061204,0.000110475856,0.00013374322,0.0005525743,0.00010828389,0.00007078958,0.00009077767,0.000104427985,0.000010129443],"category_scores_gemma":[0.00022595077,0.00010095284,0.000010365407,0.0010054928,0.00008634809,0.0004100427,0.00006715424,0.00006454955,0.0000052274636],"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":[0.000020985168,0.00004500505,0.01728137,0.00014626229,0.000005018903,2.999001e-7,0.00000992997,0.000025884483,0.00073247333,0.96154594,0.00046942927,0.019717397],"study_design_scores_gemma":[0.0019879576,0.00007071853,0.10303659,0.00028405286,0.00004432872,0.00000641811,0.0003545453,0.012787323,0.001422921,0.589128,0.29038194,0.00049519975],"about_ca_topic_score_codex":0.00005423918,"about_ca_topic_score_gemma":0.000038046746,"teacher_disagreement_score":0.37241796,"about_ca_system_score_codex":0.000014741419,"about_ca_system_score_gemma":0.000010061666,"threshold_uncertainty_score":0.41167372},"labels":[],"label_agreement":null},{"id":"W1990392541","doi":"10.4236/ti.2014.52011","title":"Analyzing Internal Stakeholders’ Salience in Product Development","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","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":"Stakeholder; Salience (neuroscience); Salient; Stakeholder analysis; New product development; Process management; Context (archaeology); Knowledge management; Business; Computer science; Marketing; Public relations; Political science","score_opus":0.04887159276725508,"score_gpt":0.23566602383930782,"score_spread":0.18679443107205274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990392541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985888,0.00026135813,0.0020796258,0.004719136,0.00028939915,0.00027489325,1.06717664e-7,0.00033020854,0.0061572553],"genre_scores_gemma":[0.994311,0.00000559136,0.0016710889,0.003443566,0.00013620713,0.00005486859,0.000003788995,0.000013081463,0.00036080845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988484,0.000015745041,0.0003132993,0.0004209107,0.00013258014,0.0002690655],"domain_scores_gemma":[0.9995311,0.000015866546,0.00013060594,0.00026918444,0.00004272681,0.000010497763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084393786,0.00015331474,0.00017193957,0.0008979337,0.0001171672,0.00007080035,0.00020679775,0.000068191395,0.00005087328],"category_scores_gemma":[0.00022264005,0.00014264729,0.000014614891,0.00073856604,0.00017078823,0.00042384502,0.00019073233,0.0001848207,0.00012584696],"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":[0.000022557177,0.00014719534,0.24520276,0.00009687493,0.000028909491,0.00000631528,0.00011534991,0.000024634086,0.0016410399,0.7011286,0.0021239715,0.049461804],"study_design_scores_gemma":[0.0016597967,0.00008301097,0.0867162,0.00025024396,0.00004776056,0.00001987512,0.00069574197,0.0018178407,0.016896226,0.2388689,0.65204525,0.0008991584],"about_ca_topic_score_codex":0.00004017246,"about_ca_topic_score_gemma":0.000035836816,"teacher_disagreement_score":0.6499213,"about_ca_system_score_codex":0.00005164124,"about_ca_system_score_gemma":0.00001716058,"threshold_uncertainty_score":0.5816988},"labels":[],"label_agreement":null},{"id":"W1990451305","doi":"10.4236/ti.2011.21005","title":"Evaluation on Information Technology Service Management Process with AHP","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":15,"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":"National Natural Science Foundation of China; National Science Foundation","keywords":"Analytic hierarchy process; Process management; Service (business); Service management; Computer science; Knowledge management; Service design; Service product management; Process (computing); Service delivery framework; Business; Operations research; Marketing; Supply chain management; Engineering","score_opus":0.023599332348452226,"score_gpt":0.23430730452679402,"score_spread":0.2107079721783418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990451305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6529476,0.00020107704,0.03572985,0.0018474952,0.00013450389,0.0017248167,0.000004037718,0.002285252,0.3051254],"genre_scores_gemma":[0.98763233,0.00006657436,0.0108150095,0.001026869,0.0000035724931,0.0004081292,0.000016233826,0.0000110454885,0.00002022466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994148,0.000009630485,0.00015014196,0.00010884087,0.00019219797,0.00012439238],"domain_scores_gemma":[0.99958366,0.000002311224,0.00003839575,0.00018774252,0.00016269661,0.00002521794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018117699,0.00011050304,0.000081384365,0.0006921887,0.00006041684,0.000008704367,0.00009364678,0.0001433057,0.000081443104],"category_scores_gemma":[0.000007584626,0.00009507399,0.0000051960724,0.00067881297,0.000056651315,0.0002280013,0.000020598023,0.00010349651,0.00006987308],"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":[0.000036296035,0.00009199847,0.00053345825,0.00016484715,0.0001863376,0.00000228322,0.0016617323,0.075647034,0.00004790173,0.8104562,0.00031774899,0.11085417],"study_design_scores_gemma":[0.0031355096,0.000651094,0.002367424,0.00016509237,0.00026922056,0.000031148287,0.0030073496,0.70197517,0.017520847,0.2638208,0.0064575616,0.00059878046],"about_ca_topic_score_codex":5.957842e-7,"about_ca_topic_score_gemma":0.0000036861827,"teacher_disagreement_score":0.6263282,"about_ca_system_score_codex":0.000055132314,"about_ca_system_score_gemma":0.00001542459,"threshold_uncertainty_score":0.3877005},"labels":[],"label_agreement":null},{"id":"W1991220642","doi":"10.4236/ti.2010.14030","title":"The Value of Green: The Effect of Environmental Rankings on Market Cap","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","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":"Value (mathematics); Market value; Business; Rank (graph theory); Financial economics; Stock market; Economics; Econometrics; Accounting; Statistics; Mathematics","score_opus":0.0019853016741129504,"score_gpt":0.17167095685300685,"score_spread":0.1696856551788939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991220642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99277645,0.00015890478,0.0000013454917,0.004606215,0.00012626639,0.00047152085,0.000001995644,0.00003111889,0.0018262008],"genre_scores_gemma":[0.99900234,0.000014602819,0.000020307101,0.0006564106,0.000048326605,0.00005122678,0.0000018084833,0.000010601743,0.00019440372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99927396,0.000018574605,0.0001988494,0.00017044069,0.00016333551,0.00017486408],"domain_scores_gemma":[0.99924016,0.00013689937,0.0001785527,0.00043247212,0.0000066353114,0.000005263145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005514892,0.00014093654,0.00015877,0.00011564959,0.00022825906,0.000014686914,0.00032966802,0.00012247048,0.00008502822],"category_scores_gemma":[0.0000927646,0.000076140954,0.00004271972,0.00018743603,0.0016598204,0.00010443607,0.00032285726,0.00024204384,0.0000112437265],"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":[0.00027641415,0.00018342363,0.34252015,0.00029775323,0.000087505905,0.0000044356143,0.00006299725,0.000009299683,0.026450194,0.6038153,0.00080828666,0.02548423],"study_design_scores_gemma":[0.0018865747,0.00044202674,0.75616443,0.00006718328,0.00019420206,0.000013874331,0.00056212966,0.0005940327,0.045190547,0.10399851,0.09054394,0.0003425396],"about_ca_topic_score_codex":0.000096212956,"about_ca_topic_score_gemma":0.000014945692,"teacher_disagreement_score":0.4998168,"about_ca_system_score_codex":0.00002009271,"about_ca_system_score_gemma":0.000003211381,"threshold_uncertainty_score":0.61156774},"labels":[],"label_agreement":null},{"id":"W1993150656","doi":"10.4236/ti.2012.32009","title":"Privacy Policies Considerations in Socio-Technical Systems","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","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":"University of South Carolina; University of Connecticut","keywords":"Sociotechnical system; The Internet; Computer science; Context (archaeology); Internet privacy; Adaptation (eye); Information privacy; Dissemination; Privacy by Design; World Wide Web; Knowledge management; Telecommunications","score_opus":0.04420695908776712,"score_gpt":0.3218891183118696,"score_spread":0.2776821592241025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993150656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524017,0.0056501017,0.00015760213,0.02603885,0.0002922531,0.00070055696,0.000008356868,0.00045912992,0.014291477],"genre_scores_gemma":[0.9983508,0.00021782068,0.00053867424,0.000575137,0.0001016216,0.00011793371,0.0000031169893,0.0000039695988,0.00009092184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99919945,0.00010228447,0.00016145885,0.00012711207,0.000100988866,0.0003087121],"domain_scores_gemma":[0.99960154,0.000052631745,0.000046943074,0.00020608428,0.000020360134,0.000072408584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005444051,0.00007267365,0.00011973766,0.00025497293,0.00042497556,0.000034013898,0.00013616335,0.000280021,0.00002435694],"category_scores_gemma":[0.00061495916,0.000070171416,0.000013536952,0.0002736963,0.0006726895,0.0002834631,0.00019581562,0.0001999316,0.000024775365],"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":[0.0000010111611,0.00006746279,0.022301663,0.000005222371,0.0000039603933,7.621424e-7,0.0023768952,1.566925e-7,0.00025918317,0.9719778,0.0029014898,0.00010440412],"study_design_scores_gemma":[0.00040568772,0.00008034488,0.02393815,0.000033650733,0.000015870306,0.000029519773,0.008400305,0.000012602973,0.0006200953,0.74702364,0.21920986,0.0002302821],"about_ca_topic_score_codex":0.0011778863,"about_ca_topic_score_gemma":0.0003573381,"teacher_disagreement_score":0.22495416,"about_ca_system_score_codex":0.00012562587,"about_ca_system_score_gemma":0.00006725102,"threshold_uncertainty_score":0.32686114},"labels":[],"label_agreement":null},{"id":"W1995586380","doi":"10.4236/ti.2015.61002","title":"Human Capital Production Function in Strategic Management","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Business and Economic Development","field":"Environmental Science","cited_by":16,"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":"Human capital; Competitive advantage; Function (biology); Production (economics); Industrial organization; Business; Profit (economics); Human resource management; Production function; Economics; Competence-based management; Human resources; Competition (biology); Knowledge management; Marketing; Microeconomics; Management; Computer science; Strategic planning; Strategic financial management; Economic growth","score_opus":0.023304554865329397,"score_gpt":0.20196767125158435,"score_spread":0.17866311638625496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995586380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96462435,0.000049715025,0.000004698761,0.0007307429,0.00013626082,0.00015187061,1.1357785e-7,0.00004880016,0.03425343],"genre_scores_gemma":[0.99827844,0.00000761167,0.00044770457,0.00019289125,0.000007746331,0.00005803134,0.0000024440217,0.0000035743155,0.0010015643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994995,0.0000056100844,0.000110292545,0.00021080668,0.000047563273,0.00012620637],"domain_scores_gemma":[0.9998301,3.8321807e-7,0.000027328153,0.000107956585,0.0000018174143,0.000032370004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013496286,0.00006754463,0.00006434414,0.00010587754,0.000045396657,0.000007363787,0.000052353258,0.000057494002,0.000112037706],"category_scores_gemma":[0.000001023409,0.00006261057,0.0000047770814,0.00016900932,0.00012884266,0.00009103776,0.000109889996,0.00005747507,0.0001616946],"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":[0.00001832482,0.00025003543,0.15043776,0.000016241695,0.00002474531,0.000019737745,0.00036491436,0.00046620783,0.001023324,0.83560544,0.0021970428,0.00957623],"study_design_scores_gemma":[0.00059598545,0.00013680679,0.21062542,0.000012646491,0.0000092525015,0.000015415182,0.0023347235,0.00007421638,0.00045153417,0.77854633,0.0070136,0.00018406297],"about_ca_topic_score_codex":0.000046235495,"about_ca_topic_score_gemma":0.000090219866,"teacher_disagreement_score":0.06018766,"about_ca_system_score_codex":0.00015572149,"about_ca_system_score_gemma":0.0000036169838,"threshold_uncertainty_score":0.2553185},"labels":[],"label_agreement":null},{"id":"W1995732831","doi":"10.4236/ti.2011.22011","title":"Assessing Uncertainty and Risk in Public Sector Investment Projects","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":34,"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":"Profitability index; Project appraisal; Investment (military); Risk analysis (engineering); Strengths and weaknesses; Public sector; Risk assessment; Risk management; Capital budgeting; Business; Financial risk; Actuarial science; Finance; Computer science; Economics; Political science","score_opus":0.17306999452229443,"score_gpt":0.33784123516026954,"score_spread":0.1647712406379751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995732831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96563447,0.00038199767,0.0000776402,0.0005883144,0.00014823872,0.0003322308,0.0000017592296,0.00010310141,0.032732233],"genre_scores_gemma":[0.99554336,0.00020651316,0.003140561,0.000710945,0.000012407001,0.00006908084,0.0000010854907,0.000005676194,0.00031035382],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846506,0.0001132577,0.0003984611,0.00048465718,0.0002590275,0.00027950644],"domain_scores_gemma":[0.9992185,0.00007870206,0.00020136435,0.0003714107,0.00005803553,0.0000719476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013735251,0.00015231698,0.0002176545,0.00148383,0.00020465637,0.00015720533,0.0002595047,0.0001446958,0.00018796156],"category_scores_gemma":[0.00038388124,0.000113336464,0.000020547452,0.0013297845,0.00056405563,0.00067074975,0.00031867714,0.00024610528,0.000023834207],"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":[0.000010366385,0.000050038885,0.56026375,0.0000063935495,0.000019299545,0.0000062228078,0.0007977442,6.3068126e-7,0.000035858626,0.3532423,0.0002935712,0.08527381],"study_design_scores_gemma":[0.0010950847,0.00027955632,0.28993362,0.000034447163,0.000023802131,0.00004152913,0.006073623,0.002458114,0.00078807125,0.6499626,0.048982117,0.00032742534],"about_ca_topic_score_codex":0.00012521622,"about_ca_topic_score_gemma":0.00027911973,"teacher_disagreement_score":0.2967203,"about_ca_system_score_codex":0.000045100765,"about_ca_system_score_gemma":0.00006566417,"threshold_uncertainty_score":0.4621727},"labels":[],"label_agreement":null},{"id":"W1996103323","doi":"10.4236/ti.2015.61006","title":"The FDI of Small- and Middle-Sized Enterprises: A Literature Review","year":2015,"lang":"en","type":"review","venue":"Technology and Investment","topic":"International Business and FDI","field":"Business, Management and Accounting","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":"Internationalization; Foreign direct investment; Business; Process (computing); Empirical research; Industrial organization; Investment (military); International trade; Economics; Political science; Macroeconomics","score_opus":0.03997291424724619,"score_gpt":0.2720687310992929,"score_spread":0.23209581685204672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996103323","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":[0.000023153734,0.9942857,0.0000046509954,0.0012087278,0.00018984992,0.000715379,0.000009075372,0.000058730227,0.0035047529],"genre_scores_gemma":[0.000008869031,0.9971644,0.00009002221,0.0018464747,0.00014654815,0.00017872742,0.000059387523,0.000021050551,0.00048446364],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989066,0.00001572271,0.00048611994,0.0002824502,0.0001305705,0.00017850714],"domain_scores_gemma":[0.9988656,0.00004244133,0.00053669745,0.00031407535,0.00023008743,0.000011098079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040768253,0.00029569832,0.0008921839,0.00039173022,0.00012250719,0.00010124349,0.00035144456,0.00028367704,0.000010816985],"category_scores_gemma":[0.00016554339,0.00016726139,0.000109185974,0.0006397515,0.00031163698,0.00014268339,0.00043679477,0.00028857627,0.000019892657],"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":[0.0000072119915,0.000034375735,0.000018148921,0.052135445,0.00015202051,0.000018358563,0.000008108435,8.142188e-9,1.4182325e-7,0.4715759,0.003836725,0.47221357],"study_design_scores_gemma":[0.00015338477,0.000011987807,0.0000031620084,0.059583474,0.0004293917,0.00004643594,0.000009815428,0.000004890384,1.3303823e-7,0.017998694,0.9216095,0.00014913623],"about_ca_topic_score_codex":0.000007921029,"about_ca_topic_score_gemma":0.0000048848315,"teacher_disagreement_score":0.91777277,"about_ca_system_score_codex":0.000022079681,"about_ca_system_score_gemma":0.000048951755,"threshold_uncertainty_score":0.68207216},"labels":[],"label_agreement":null},{"id":"W1996451785","doi":"10.4236/ti.2011.24026","title":"An Analysis of Enterprise Value Growth: A Dynamic Equilibrium Model Based on Adaptive Innovation","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","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); Phenomenon; Process (computing); Computer science; Dynamic equilibrium; Action (physics); Process management; Industrial organization; Economics; Business","score_opus":0.04739228419049197,"score_gpt":0.2910132566007514,"score_spread":0.24362097241025943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996451785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819644,0.000012068937,0.012735776,0.00030036896,0.00002552014,0.00016470285,0.0000024892681,0.00010427788,0.004690397],"genre_scores_gemma":[0.99735034,0.0000010739495,0.001508042,0.0010296013,0.000008527875,0.000036025554,0.000028034858,0.0000078677185,0.000030518077],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991303,0.000010196019,0.00029301227,0.00023639023,0.00018079909,0.0001492945],"domain_scores_gemma":[0.9992222,0.0000106520965,0.0002524077,0.00024522297,0.00026214545,0.00000735448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049261533,0.00009766313,0.00018144202,0.0025440413,0.00006120232,0.000013897086,0.00012955802,0.00011291866,0.00002870304],"category_scores_gemma":[0.00021088212,0.000088354536,0.000035270572,0.0024164845,0.00014433074,0.00023291944,0.000060348666,0.000108567605,0.000005520461],"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":[0.00009926527,0.00028295937,0.037586443,0.000024295829,0.00008245902,0.0000031842203,0.000055664997,0.0025721313,0.002318967,0.9551959,0.000040539602,0.0017381832],"study_design_scores_gemma":[0.00019166277,0.00010818192,0.030854287,0.000015779997,0.00013882226,1.0986502e-7,0.0000529569,0.8688982,0.000860825,0.098787405,0.000014304963,0.000077457],"about_ca_topic_score_codex":0.00015031955,"about_ca_topic_score_gemma":0.000012928914,"teacher_disagreement_score":0.8663261,"about_ca_system_score_codex":0.000026839247,"about_ca_system_score_gemma":0.000038028968,"threshold_uncertainty_score":0.36029935},"labels":[],"label_agreement":null},{"id":"W1996550076","doi":"10.4236/ti.2015.61007","title":"Small and Medium Sized Entities Management’s Perspective on Principles-Based Accounting Standards on Lease Accounting","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","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":"Accounting; Business; Management accounting; Financial accounting; Accounting information system; Accounting standard; Lease; Mark-to-market accounting; Finance","score_opus":0.021790199781228665,"score_gpt":0.23438825224688345,"score_spread":0.21259805246565477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996550076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8177904,0.00038562954,0.0022802353,0.009186994,0.0003996609,0.00094053557,0.000011722871,0.0007895488,0.16821529],"genre_scores_gemma":[0.98673236,0.00004245999,0.0008616187,0.010260183,0.00031056933,0.00013129848,0.0000132589585,0.000056153967,0.0015920746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99761045,0.000020258216,0.00036499492,0.00079491275,0.00063638715,0.000573008],"domain_scores_gemma":[0.99634445,0.000056323883,0.0028434275,0.00042995118,0.0002841799,0.000041672607],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010475649,0.00042960676,0.00037987035,0.0010489995,0.0004273735,0.0003525432,0.0003676803,0.00018156278,0.00006051526],"category_scores_gemma":[0.0029254782,0.00041187814,0.00005276169,0.0006567729,0.00044151637,0.0005253713,0.00066721474,0.0004396991,0.00010298148],"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":[0.00022447255,0.00016337409,0.022470191,0.000267479,0.00013417282,0.0000887391,0.0001308362,0.00016664076,0.000044301916,0.9633218,0.004046328,0.008941651],"study_design_scores_gemma":[0.007825965,0.00041731301,0.036182053,0.000972345,0.00037612233,0.00000750791,0.010717393,0.0022502649,0.0008636976,0.10495715,0.8340237,0.0014064498],"about_ca_topic_score_codex":0.0001453918,"about_ca_topic_score_gemma":0.00008477765,"teacher_disagreement_score":0.85836464,"about_ca_system_score_codex":0.00038693464,"about_ca_system_score_gemma":0.00007332066,"threshold_uncertainty_score":0.9998333},"labels":[],"label_agreement":null},{"id":"W1996823769","doi":"10.4236/ti.2015.61001","title":"Kant’s Categorical Imperative and the “Business” of Profit Maximization: The Quest for Service Paradigm","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Theory and Institutions","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":"Profit maximization; Appeal; Globe; Profit (economics); Economics; Intuition; Categorical imperative; Maximization; Positive economics; Marketing; Business; Neoclassical economics; Epistemology; Microeconomics; Political science; Psychology; Law; Morality; Philosophy","score_opus":0.041070469426624616,"score_gpt":0.2241902792368089,"score_spread":0.18311980981018428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996823769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79766214,0.013355344,0.0057525225,0.15860386,0.00046332966,0.0016557925,0.00011316837,0.0000834388,0.022310438],"genre_scores_gemma":[0.9974375,0.00020456115,0.00031351665,0.0016639696,0.000027632932,0.00017538008,0.0000071780223,0.000004742808,0.00016553054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946904,0.000012932561,0.00025039967,0.00016001328,0.000008156536,0.00009943801],"domain_scores_gemma":[0.99955416,0.00005199577,0.00013918965,0.00019068089,0.000038923703,0.000025032621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043064202,0.000076206125,0.00019751301,0.000081006896,0.00017052368,0.000016279624,0.000126071,0.00009161651,0.0000070117226],"category_scores_gemma":[0.000109469605,0.00004904722,0.000016264337,0.00020863178,0.0006825057,0.000101147314,0.000062432824,0.000075631004,0.000010293421],"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":[0.000033458666,0.000014009248,0.001522128,0.000010188797,0.000029865236,1.6282185e-7,0.00055318355,0.000029288043,0.0000016518383,0.997484,0.00024824118,0.00007380913],"study_design_scores_gemma":[0.0010366556,0.000053882788,0.0009858254,0.0000038021103,0.000011148315,0.000017113047,0.00036695277,0.0012110121,0.00009331946,0.97254765,0.023607263,0.00006537241],"about_ca_topic_score_codex":0.000052858795,"about_ca_topic_score_gemma":0.000022708382,"teacher_disagreement_score":0.19977538,"about_ca_system_score_codex":0.000024299765,"about_ca_system_score_gemma":0.000031293,"threshold_uncertainty_score":0.2514721},"labels":[],"label_agreement":null},{"id":"W1998976670","doi":"10.4236/ti.2013.44025","title":"Blue Economy Innovation Impact Assessment with the GMR-Europe Model","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Regional Development and Policy","field":"Social Sciences","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":"Computable general equilibrium; Production (economics); Economics; General equilibrium theory; Frame (networking); Input–output model; Economic impact analysis; Economy; Macroeconomics; Computer science; Microeconomics; Telecommunications","score_opus":0.02411353726726731,"score_gpt":0.3100832048393378,"score_spread":0.28596966757207054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998976670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84620035,0.000042993364,0.00022124437,0.057909966,0.000014401702,0.00030170503,4.0298022e-7,0.00006937325,0.09523958],"genre_scores_gemma":[0.9916266,0.00004924016,0.0008887756,0.0045007127,0.000027574337,0.00011564477,0.0000035933801,0.0000047533854,0.0027830582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995176,0.000026559952,0.000091765585,0.0001136272,0.000074967415,0.00017544834],"domain_scores_gemma":[0.9996978,0.000018012703,0.000059772756,0.000108813125,0.000085743406,0.00002988019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018066772,0.00007593925,0.00007221958,0.0001708842,0.000340552,0.000048226608,0.00013737824,0.000078295845,0.000054848497],"category_scores_gemma":[0.000011616705,0.00004324655,0.000008542913,0.00056201156,0.0004908365,0.0001728757,0.000040446314,0.00011254951,0.000035333913],"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":[0.000001225805,0.000012128884,0.0032511938,0.0000010328195,0.000019386855,3.0155886e-7,0.00089445314,0.000024665038,0.00004626238,0.9831398,0.010907149,0.0017023699],"study_design_scores_gemma":[0.00040304728,0.00018883057,0.026588023,0.000014459863,0.00001533615,0.000005050144,0.0018943346,0.0017755291,0.00027830442,0.64151436,0.32706752,0.0002551942],"about_ca_topic_score_codex":0.00019492644,"about_ca_topic_score_gemma":0.000040469327,"teacher_disagreement_score":0.34162545,"about_ca_system_score_codex":0.000062128005,"about_ca_system_score_gemma":0.00025697605,"threshold_uncertainty_score":0.26192853},"labels":[],"label_agreement":null},{"id":"W1999669238","doi":"10.4236/ti.2010.14033","title":"Case Study on Business Risk Management for Software Outsourcing Service Provider with ISM","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","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":"National Natural Science Foundation of China; National Science Foundation","keywords":"Outsourcing; Risk management; Business; Service provider; IT risk management; Risk analysis (engineering); Risk management plan; Process management; Service (business); Knowledge management; Computer science; Finance; Marketing","score_opus":0.012004824757227098,"score_gpt":0.21539846752086916,"score_spread":0.20339364276364208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999669238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861453,0.000028725832,0.0044795736,0.0039836452,0.00029953202,0.0024291303,0.0000040979053,0.0007037297,0.0019262211],"genre_scores_gemma":[0.9881708,0.000002545926,0.004783905,0.0056513962,0.0002262033,0.0007125431,0.000011740719,0.00005441356,0.0003864618],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845856,0.000010003771,0.00026428932,0.0006414477,0.00020139938,0.00042430812],"domain_scores_gemma":[0.99894255,0.000043154716,0.00021145873,0.00062357687,0.00015558566,0.0000236932],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044006048,0.00034461266,0.00028374122,0.000819235,0.00065670075,0.00018585312,0.00025747422,0.00014554134,0.000018893146],"category_scores_gemma":[0.00006120624,0.00026805376,0.000031954576,0.0009037147,0.000118515156,0.00027021588,0.0003393703,0.0003585942,0.000044786455],"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":[0.00058552343,0.0036129453,0.46067265,0.002195368,0.0014278641,0.00538816,0.0020657198,0.0020121555,0.00009883845,0.3809264,0.006715335,0.13429905],"study_design_scores_gemma":[0.030079268,0.002102483,0.0655301,0.0007575126,0.004395293,0.0013565905,0.112084486,0.014703083,0.00029795873,0.11993874,0.6437361,0.00501838],"about_ca_topic_score_codex":0.00041348915,"about_ca_topic_score_gemma":0.0006770978,"teacher_disagreement_score":0.63702077,"about_ca_system_score_codex":0.000023657154,"about_ca_system_score_gemma":0.00001018947,"threshold_uncertainty_score":0.9999772},"labels":[],"label_agreement":null},{"id":"W2001215223","doi":"10.4236/ti.2013.44032","title":"Economics of Offshore IT Outsourcing: An International Trade Perspective","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","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":"Outsourcing; Offshore outsourcing; Knowledge process outsourcing; Offshoring; Business; Perspective (graphical); Government (linguistics); Information technology; Industrial organization; Commerce; Goods and services; International trade; Information economics; Economics; Marketing; Economy; Political science; Law; Computer science; Microeconomics","score_opus":0.013482625973749126,"score_gpt":0.21904767860774188,"score_spread":0.20556505263399275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001215223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8669549,0.0000990327,0.00024552958,0.072460085,0.00025375435,0.000384396,0.0000023516525,0.00020824882,0.0593917],"genre_scores_gemma":[0.99423116,0.000023019153,0.00050445466,0.0048358645,0.00015190648,0.000036636313,0.000010897667,0.000012604686,0.00019345358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993131,0.000004308578,0.00019941614,0.00025158952,0.000066640016,0.00016490495],"domain_scores_gemma":[0.9995962,0.000008138637,0.00012426722,0.00022606109,0.000032860004,0.000012513434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120077115,0.00012757251,0.00016292154,0.00051668106,0.00007541226,0.00006620799,0.00024604332,0.00009752603,0.00017442922],"category_scores_gemma":[0.000028819748,0.00011817482,0.000032736254,0.00016175097,0.00018592684,0.0005308562,0.00017239213,0.00010796381,0.000037499794],"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":[0.000006136216,0.00010360325,0.022212503,0.00002001943,0.000062773055,0.0000013816433,0.0002404773,0.000119670905,0.00012966827,0.9717999,0.002277263,0.003026566],"study_design_scores_gemma":[0.0015799255,0.00016160066,0.046290077,0.00007013277,0.000120516386,0.000009155671,0.03059114,0.041999727,0.0007903745,0.55561316,0.32214883,0.0006253325],"about_ca_topic_score_codex":0.00019735924,"about_ca_topic_score_gemma":0.00002213237,"teacher_disagreement_score":0.41618675,"about_ca_system_score_codex":0.000042169522,"about_ca_system_score_gemma":0.0000067637375,"threshold_uncertainty_score":0.48190296},"labels":[],"label_agreement":null},{"id":"W2002247696","doi":"10.4236/ti.2015.62011","title":"Evaluation of Antioxidant and Anti-Inflammatory Effect of &amp;lt;i&amp;gt;Rhododendron brachycarpum&amp;lt;/i&amp;gt; Extract Used in Skin Care Product by &amp;lt;i&amp;gt;in Vitro&amp;lt;/i&amp;gt; and &amp;lt;i&amp;gt;in Vivo&amp;lt;/i&amp;gt; Test","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","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":"Sun Yat-sen University","keywords":"In vivo; Antioxidant; Pharmacology; Chemistry; Cytotoxicity; In vitro; Ingredient; Erythema; Traditional medicine; Biochemistry; Medicine; Food science; Dermatology; Biology; Biotechnology","score_opus":0.026134688039951937,"score_gpt":0.26068169873493346,"score_spread":0.23454701069498152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002247696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644599,0.022776831,0.0002286069,0.002340444,0.0011541841,0.005559727,0.0015695607,0.0008194101,0.0010913501],"genre_scores_gemma":[0.98306304,0.0033150713,0.006215986,0.00046756395,0.00067688216,0.00066035555,0.002968552,0.00018626788,0.0024462584],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.97929484,0.0033901439,0.004671383,0.0053033265,0.0034131112,0.0039272024],"domain_scores_gemma":[0.9889768,0.002108401,0.00317118,0.0028172352,0.0015523228,0.0013740803],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.009128357,0.0035466105,0.0051966724,0.0019919965,0.0012414223,0.00062262197,0.002356402,0.003363837,0.000836009],"category_scores_gemma":[0.00439294,0.002508512,0.0009904793,0.004662121,0.003939138,0.0019904957,0.0017422201,0.0028608905,0.0004264483],"study_design_candidate":"bench_or_experimental","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":[0.0010959447,0.0028910271,0.034700494,0.0009633397,0.0004589676,0.00002655667,0.002293235,0.00017901044,0.93054205,0.00054954586,0.00737708,0.018922737],"study_design_scores_gemma":[0.01607036,0.0023263625,0.07548731,0.004319188,0.002748694,0.0010382697,0.00043327198,0.0001069281,0.18844698,0.004685925,0.6958372,0.008499537],"about_ca_topic_score_codex":0.0016200775,"about_ca_topic_score_gemma":0.06452278,"teacher_disagreement_score":0.7420951,"about_ca_system_score_codex":0.0011735994,"about_ca_system_score_gemma":0.0005751157,"threshold_uncertainty_score":0.99943954},"labels":[],"label_agreement":null},{"id":"W2003365404","doi":"10.4236/ti.2011.23023","title":"Banking Firm, Risk of Investment and Derivatives","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Stochastic dominance; Loan; Standard deviation; Variance (accounting); Investment (military); Dominance (genetics); Economics; Business; Credit risk; Actuarial science; Econometrics; Financial economics; Finance; Statistics; Mathematics; Accounting","score_opus":0.02829527037426068,"score_gpt":0.1978751574365121,"score_spread":0.1695798870622514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003365404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9458809,0.007568102,0.0006449706,0.00016068915,0.00007880999,0.00021077688,0.00002131638,0.000046316916,0.04538811],"genre_scores_gemma":[0.9926064,0.0019960497,0.004633927,0.0005824115,0.00000898379,0.00004212614,0.0000015389608,0.000009030119,0.00011951507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916846,0.000008271329,0.0003453405,0.00027581753,0.00001935012,0.00018277358],"domain_scores_gemma":[0.99944675,0.000010432962,0.00027438634,0.00022293696,0.000013115983,0.000032393113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023975184,0.000121488534,0.00027848786,0.00038312297,0.000101351936,0.000006258098,0.000108018336,0.00011987612,0.00005920034],"category_scores_gemma":[0.000048340436,0.0001252369,0.000027557395,0.00023166895,0.00037430302,0.00010445971,0.00013492191,0.00011625868,0.0000209807],"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":[0.0000069979665,0.00004898135,0.223443,0.000018139583,0.000045684337,0.00000170586,0.00074259395,2.4711767e-7,0.000013426525,0.7736122,0.000068672205,0.0019983687],"study_design_scores_gemma":[0.0003134306,0.00020333519,0.25574595,0.000017471739,0.000010616289,0.0000017272929,0.00017880097,0.000049151357,0.0012425006,0.73001534,0.01209807,0.00012359663],"about_ca_topic_score_codex":0.00012989197,"about_ca_topic_score_gemma":0.000009616163,"teacher_disagreement_score":0.04672551,"about_ca_system_score_codex":0.000019559122,"about_ca_system_score_gemma":0.0000053745466,"threshold_uncertainty_score":0.51070124},"labels":[],"label_agreement":null},{"id":"W2003412743","doi":"10.4236/ti.2010.11007","title":"How to Support Innovative Behaviour?The Role of LMX and Satisfaction with HR Practices","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":161,"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 Twente","keywords":"Job satisfaction; Psychology; German; Order (exchange); Work (physics); Social psychology; Business; Engineering","score_opus":0.009451683340894149,"score_gpt":0.23228125870784297,"score_spread":0.2228295753669488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003412743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99064106,0.000030738956,0.00002706411,0.008275155,0.00006432103,0.00024283874,0.000002087788,0.00006574057,0.0006510098],"genre_scores_gemma":[0.9976485,0.0000031527065,0.0007773769,0.0013825109,0.000042569474,0.000030920713,0.0000060483985,0.000008922001,0.00010002933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995491,0.0000030649612,0.000100417616,0.00015404636,0.000098746066,0.000094629024],"domain_scores_gemma":[0.9994679,0.000012640974,0.00021430061,0.00012539643,0.00017064641,0.000009116275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009979982,0.00008976693,0.00009289372,0.00027633298,0.00013651174,0.00007235517,0.000060210765,0.000085934225,0.000063228996],"category_scores_gemma":[0.00010058738,0.00006124915,0.000005195796,0.00062600337,0.00019787023,0.00045478076,0.000083421415,0.00017497492,0.00000951004],"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":[0.00000947891,0.000015958138,0.6667194,0.0000049088403,0.000008387436,7.226595e-7,0.00003959219,6.715933e-8,0.012838383,0.31293043,0.00013971081,0.007292991],"study_design_scores_gemma":[0.00028204496,0.000091103255,0.9359112,0.0000070966767,0.00005402282,0.000022354758,0.0016801679,0.0000061417063,0.00952158,0.008787627,0.043522984,0.00011367567],"about_ca_topic_score_codex":0.00018916163,"about_ca_topic_score_gemma":0.00063489296,"teacher_disagreement_score":0.3041428,"about_ca_system_score_codex":0.0000062531785,"about_ca_system_score_gemma":0.000017166109,"threshold_uncertainty_score":0.24976678},"labels":[],"label_agreement":null},{"id":"W2004378482","doi":"10.4236/ti.2011.23018","title":"Do “Newly Oligopolistic Reaction” and Host Technology Resources Matter for MNC’s Location? —A Study in China’s Technology Industries","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"International Business and FDI","field":"Business, Management and Accounting","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":"Foreign direct investment; Multinational corporation; Oligopoly; Business; Panel data; Industrial organization; China; Investment (military); Economics; Economic geography; International trade; Market economy; Welfare; Macroeconomics; Econometrics","score_opus":0.020176515948288256,"score_gpt":0.23876305401917383,"score_spread":0.21858653807088557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004378482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853374,0.00046099946,0.0000711584,0.008594741,0.00015027635,0.0007509867,0.0000033686556,0.00025108637,0.004380036],"genre_scores_gemma":[0.99784654,0.000015351972,0.0003532313,0.00096818287,0.00008758498,0.00045285188,0.00000574193,0.000022720735,0.0002477613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988383,0.000005211551,0.0003288533,0.00043771288,0.00009141731,0.0002984853],"domain_scores_gemma":[0.9993268,0.0000135429345,0.00019318252,0.00028503788,0.00017130507,0.000010119904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018551102,0.00022197638,0.00027018503,0.0027777236,0.00021884666,0.000059994272,0.00026197534,0.0004083413,0.000046897894],"category_scores_gemma":[0.00015321827,0.00020125868,0.000014478648,0.0014476691,0.0005792108,0.00035173225,0.00031741138,0.00028728053,0.00004207406],"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":[0.000041065705,0.0002258874,0.43778723,0.000041997064,0.000034662287,0.000008983388,0.00011203688,3.2530764e-7,0.00014858198,0.55970705,0.00038709876,0.0015050925],"study_design_scores_gemma":[0.001790455,0.0001843089,0.565993,0.000115122246,0.00008894049,0.000040591145,0.004601411,0.00007642752,0.00062498346,0.405784,0.02029786,0.0004028919],"about_ca_topic_score_codex":0.00044613224,"about_ca_topic_score_gemma":0.00016922815,"teacher_disagreement_score":0.15392302,"about_ca_system_score_codex":0.000041913157,"about_ca_system_score_gemma":0.000020320855,"threshold_uncertainty_score":0.82070905},"labels":[],"label_agreement":null},{"id":"W2007752884","doi":"10.4236/ti.2012.33021","title":"Mechanism Analysis of Coal Mine Entrepreneurial Social Capital","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Geomechanics and Mining Engineering","field":"Engineering","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":"Coal mining; Mechanism (biology); Production (economics); Social capital; Capital (architecture); Coal; Business; Order (exchange); Action (physics); Industrial organization; Economic system; Natural resource economics; Environmental economics; Economics; Microeconomics; Engineering; Political science; Finance; Waste management; Law","score_opus":0.006963781039175003,"score_gpt":0.18895450385669066,"score_spread":0.18199072281751566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007752884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965618,0.0004124125,0.002174103,0.000034984485,0.00020978841,0.000048179605,0.000010833348,0.00019233806,0.0003555131],"genre_scores_gemma":[0.9992675,0.000017507058,0.00060078717,0.000019287134,0.000035804893,0.000013112843,0.000009757175,0.000009046642,0.000027201026],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995613,0.0000031752572,0.000121121426,0.00007479684,0.000052339434,0.00018727462],"domain_scores_gemma":[0.9998375,0.0000066848534,0.000019667877,0.000092547896,0.000008180841,0.000035423025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006266263,0.00008772003,0.0001907985,0.00044386325,0.000024170087,0.0000026043824,0.00005509933,0.0001251307,0.000028327098],"category_scores_gemma":[0.0000056879608,0.000088689645,0.000040185652,0.00031435548,0.000029561616,0.000033678793,0.000040610124,0.000075390424,0.0000026151895],"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":[0.0000029288685,0.000047288962,0.0014723449,0.000027172258,0.0009036629,0.0000016288045,0.0009626256,0.0010817522,0.04100847,0.95365834,0.00014030398,0.0006934719],"study_design_scores_gemma":[0.0030655921,0.0005697822,0.027991971,0.0000510009,0.0049989936,0.00005171351,0.0023913267,0.122132376,0.7419445,0.08170716,0.01330256,0.0017930333],"about_ca_topic_score_codex":0.0000037457028,"about_ca_topic_score_gemma":0.0000027501424,"teacher_disagreement_score":0.87195116,"about_ca_system_score_codex":0.00001550564,"about_ca_system_score_gemma":0.0000024506787,"threshold_uncertainty_score":0.36166587},"labels":[],"label_agreement":null},{"id":"W2007949387","doi":"10.4236/ti.2013.42009","title":"Case Study on the Lean Six Sigma Management for Information Technology Service Management Project of G Commercial Bank","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","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":"Financial management for IT services; DMAIC; Information Technology Infrastructure Library; Six Sigma; Process management; Lean Six Sigma; Lean manufacturing; Information technology; Business; Computer science; Design for Six Sigma; Process (computing); Knowledge management; Marketing","score_opus":0.06201038010584298,"score_gpt":0.2816157470706074,"score_spread":0.2196053669647644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007949387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746574,0.000027654176,0.00074833346,0.007234484,0.00017545476,0.0046562795,0.000007350107,0.00024509354,0.012247954],"genre_scores_gemma":[0.99302226,0.000016867054,0.00064016273,0.004710362,0.000044906326,0.0014669682,0.000024027839,0.000013069111,0.00006139855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888456,0.000005499912,0.00039493298,0.00026669443,0.00016414183,0.00028418406],"domain_scores_gemma":[0.9989557,0.000029550836,0.000249294,0.000571797,0.00018664489,0.0000070019223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028344846,0.00022568028,0.0002190487,0.0012155751,0.0003214667,0.00008485409,0.0004840629,0.0001477653,0.00004643967],"category_scores_gemma":[0.000027312102,0.00015792737,0.000029963978,0.0014611371,0.00021022442,0.0006367565,0.00062585,0.00016089798,0.00010144003],"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":[0.00003495038,0.00037958258,0.0033625872,0.00041831454,0.00014956445,0.000032385666,0.00013064082,0.0000057022303,0.000017675413,0.9045138,0.0069599226,0.083994895],"study_design_scores_gemma":[0.005850297,0.0012702098,0.014795319,0.00052583753,0.0011417707,0.00030686051,0.13154359,0.005032374,0.0019143654,0.32135114,0.51456547,0.0017027823],"about_ca_topic_score_codex":0.00037399272,"about_ca_topic_score_gemma":0.0000991883,"teacher_disagreement_score":0.58316267,"about_ca_system_score_codex":0.000024414416,"about_ca_system_score_gemma":0.000006592815,"threshold_uncertainty_score":0.6440091},"labels":[],"label_agreement":null},{"id":"W2009061803","doi":"10.4236/ti.2012.33028","title":"Competitive Innovation Diffusion in Small-World Network: Agent-Based Modeling and Simulation","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","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":"National Science Fund for Distinguished Young Scholars; Natural Science Foundation of Shanghai","keywords":"Computer science; Process (computing); Diffusion; Function (biology); Innovation diffusion; Diffusion process; Sensitivity (control systems); Word of mouth; Operations research; Mathematical optimization; Business; Marketing; Knowledge management; Mathematics","score_opus":0.12868718374751761,"score_gpt":0.34940564836314536,"score_spread":0.22071846461562775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009061803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97119427,0.00019024825,0.023275448,0.0010183533,0.0001477053,0.00021077687,0.0000011257204,0.00006730645,0.0038947773],"genre_scores_gemma":[0.9934336,0.000003488016,0.0040854877,0.002226688,0.00004111072,0.000016669064,0.00000937412,0.0000062974673,0.0001772904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986797,0.0000627398,0.00054298376,0.00025134417,0.00019547458,0.00026774584],"domain_scores_gemma":[0.99925274,0.00019033061,0.00018299992,0.0001714728,0.0001650866,0.000037378068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015468448,0.00011658963,0.00017639203,0.0016004393,0.00019575658,0.000040407405,0.00009975125,0.00013472106,0.000050577328],"category_scores_gemma":[0.000528872,0.00009513748,0.000011833638,0.003045241,0.00013636507,0.00018253986,0.00014448226,0.00018767944,0.00001132673],"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":[0.00001765839,0.000057948204,0.09137986,0.0000028963893,0.0000024580131,7.6714383e-7,0.00015752767,0.011044795,0.00030612142,0.8684609,0.00003999496,0.028529072],"study_design_scores_gemma":[0.0006351963,0.000040625346,0.014746057,0.000043261454,0.000003834757,0.0000020922378,0.00043966234,0.8515231,0.00021093962,0.12581217,0.0064125997,0.00013045938],"about_ca_topic_score_codex":0.0000071155637,"about_ca_topic_score_gemma":0.000050874907,"teacher_disagreement_score":0.8404783,"about_ca_system_score_codex":0.00003935246,"about_ca_system_score_gemma":0.000017812366,"threshold_uncertainty_score":0.3879594},"labels":[],"label_agreement":null},{"id":"W2009503670","doi":"10.4236/ti.2013.41005","title":"Structural Holes and Banner-Ad Click-Throughs","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Social Media and Politics","field":"Social Sciences","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":"Banner; Click-through rate; Bridge (graph theory); Constraint (computer-aided design); Computer science; Social capital; Advertising; Structural holes; Social network (sociolinguistics); Capital (architecture); Social media; World Wide Web; Business; Sociology; Engineering; History; Art; Visual arts","score_opus":0.02116672657535189,"score_gpt":0.2932357856710864,"score_spread":0.2720690590957345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009503670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794238,0.0012467081,0.0000015892186,0.013132739,0.00020043057,0.00019166658,0.0000018000997,0.00012880133,0.0056724246],"genre_scores_gemma":[0.99674124,0.00029306507,0.00040737426,0.0019425272,0.00007756933,0.000036620215,0.000001204833,0.000004274461,0.0004961037],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994152,0.000035638623,0.00008843192,0.00012997331,0.00007830826,0.00025240565],"domain_scores_gemma":[0.99972165,0.00004352714,0.00003110264,0.00008384736,0.000026255228,0.00009359977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051602226,0.00007267753,0.00010525682,0.000076246106,0.00035573164,0.000029519677,0.00008386638,0.00021522661,0.00009025731],"category_scores_gemma":[0.000105260006,0.000062610394,0.000011524409,0.00013743325,0.001936594,0.00010472683,0.00005171305,0.000114637034,0.00003160778],"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":[5.6899455e-7,0.000005445545,0.018615928,0.0000036732595,0.000008999956,0.0000010192937,0.005153684,9.472449e-9,0.00016761445,0.9656809,0.0012447711,0.009117382],"study_design_scores_gemma":[0.00021421371,0.0000832431,0.014380371,0.000009585668,0.000014022271,0.0000032942082,0.020393016,0.000011267506,0.000823712,0.85058683,0.11334289,0.00013753331],"about_ca_topic_score_codex":0.00068914867,"about_ca_topic_score_gemma":0.00011854887,"teacher_disagreement_score":0.11509405,"about_ca_system_score_codex":0.000024236433,"about_ca_system_score_gemma":0.000034524983,"threshold_uncertainty_score":0.71354616},"labels":[],"label_agreement":null},{"id":"W2013546886","doi":"10.4236/ti.2013.44029","title":"The Capital Structure of Business Start-Up: Is There a Pecking Order Theory or a Reversed Pecking Order? —Evidence from the Panel Study of Entrepreneurial Dynamics","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":25,"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":"Pecking order theory; Capital structure; Pecking order; Economics; Debt; Equity (law); Information asymmetry; Finance; Financial economics; Business","score_opus":0.020824308202868024,"score_gpt":0.2071228066353867,"score_spread":0.1862984984325187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013546886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535257,0.00083858863,0.00013865832,0.0025431565,0.00025792173,0.0007522529,0.000019531597,0.000049359965,0.000047985075],"genre_scores_gemma":[0.99875784,0.00016395537,0.00007432849,0.00066259207,0.00011121572,0.00003719382,0.0000053136982,0.000016593092,0.00017098003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998827,0.00003698436,0.0003584198,0.00032417104,0.00022399751,0.00022945102],"domain_scores_gemma":[0.998238,0.00021189086,0.0006154453,0.00057395635,0.00035403288,0.0000066445905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020570845,0.00021285562,0.0002802411,0.00008437516,0.00029892573,0.00008164243,0.0005073301,0.00012577896,0.00017154624],"category_scores_gemma":[0.0003942149,0.000114623355,0.000028879895,0.0009335011,0.00038868238,0.0004395734,0.00036538,0.0002175014,0.000006887983],"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":[0.00085876836,0.00047205648,0.7991051,0.00024797316,0.00049328944,0.000027758482,0.0057050334,0.00012202764,0.004220747,0.15895684,0.0027012574,0.027089136],"study_design_scores_gemma":[0.003114245,0.00023563352,0.75365216,0.00064571004,0.0003629926,0.0000064523974,0.032541968,0.002689199,0.0008125866,0.20233001,0.0030779622,0.00053109304],"about_ca_topic_score_codex":0.0032770196,"about_ca_topic_score_gemma":0.0027489504,"teacher_disagreement_score":0.045452975,"about_ca_system_score_codex":0.000023785622,"about_ca_system_score_gemma":0.00005699982,"threshold_uncertainty_score":0.49538952},"labels":[],"label_agreement":null},{"id":"W2017494972","doi":"10.4236/ti.2012.31002","title":"International Technology Mergers &amp;amp; Acquisitions and Raising the Competitiveness of China Equipment Manufacturing Industry","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","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":"National Social Science Fund of China","keywords":"China; Mergers and acquisitions; Business; Industrial organization; Raising (metalworking); Margin (machine learning); Capital (architecture); Manufacturing; International trade; Commerce; Finance; Marketing; Computer science; Engineering","score_opus":0.024646781164169105,"score_gpt":0.2514895485050477,"score_spread":0.22684276734087858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017494972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774683,0.0007167278,0.00027302062,0.008618752,0.00031246408,0.00016878858,0.0000045440934,0.000116351,0.01232104],"genre_scores_gemma":[0.9984028,0.000052780484,0.00029489884,0.000967263,0.0001290812,0.00003998054,0.000014242753,0.00000936247,0.00008959175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992251,0.000009546963,0.0001983873,0.00018385073,0.00011842882,0.00026470984],"domain_scores_gemma":[0.9995881,0.000018454522,0.00014194779,0.0001974469,0.000039149738,0.000014937157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019329532,0.00015365999,0.00017274772,0.0004654964,0.00023279728,0.000037513575,0.00022871773,0.00022846683,0.0001902012],"category_scores_gemma":[0.000025689673,0.00012040362,0.000027042053,0.0003276586,0.0005556368,0.00033957622,0.00043669913,0.00028418464,0.000022867795],"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":[0.000012196508,0.00010648259,0.14175718,0.000043472268,0.0000825194,0.000001413022,0.00006184783,0.000010444394,0.0024324993,0.8525547,0.000054014963,0.0028832443],"study_design_scores_gemma":[0.00078081095,0.000019042342,0.2741134,0.00023097167,0.00011591824,0.00005177745,0.0013563553,0.000028339251,0.010662898,0.09685842,0.6154113,0.00037079197],"about_ca_topic_score_codex":0.000043626074,"about_ca_topic_score_gemma":0.000009704327,"teacher_disagreement_score":0.7556963,"about_ca_system_score_codex":0.000027091797,"about_ca_system_score_gemma":0.0000075686535,"threshold_uncertainty_score":0.49099174},"labels":[],"label_agreement":null},{"id":"W2021090224","doi":"10.4236/ti.2013.43024","title":"Inventory Management and Logistics Cost Reduction: A Case of a Malaysia Herbal Medicine Company","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Quality and Supply Management","field":"Business, Management and Accounting","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":"Supply chain; Warehouse; Business; Operations management; Inventory control; Ishikawa diagram; Inventory management; Supply chain management; Control (management); Production (economics); Process management; Marketing; Computer science; Economics","score_opus":0.028437285258074343,"score_gpt":0.2468143179731018,"score_spread":0.21837703271502745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021090224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953202,0.0013964421,0.00072168885,0.013866192,0.00026389994,0.0013210438,0.000002020994,0.0002266479,0.029000068],"genre_scores_gemma":[0.9959996,0.000098452096,0.0007151912,0.0022401449,0.00011924945,0.00015529442,0.000010527653,0.000011313209,0.0006502324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989813,0.000012968522,0.00036106777,0.0002937706,0.00012023743,0.00023064084],"domain_scores_gemma":[0.9994401,0.000010831311,0.00017203916,0.00028654255,0.000067208595,0.000023300354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002622956,0.0001789993,0.00027372417,0.00057177,0.00014972464,0.00003688296,0.00012823915,0.00010844961,0.00026746094],"category_scores_gemma":[0.000022606668,0.00015399435,0.000021035368,0.0004383017,0.00096624746,0.00027524855,0.0003756424,0.00013250993,0.000046176538],"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":[0.0000152491975,0.00010234216,0.0025218844,0.00047758626,0.00009320711,0.00013691693,0.00007841498,0.000013224268,0.00005662795,0.97295135,0.015922874,0.0076303305],"study_design_scores_gemma":[0.0032675515,0.0002878867,0.0055821454,0.0003345297,0.0004909063,0.00064199796,0.013794067,0.010540528,0.000099251,0.76064265,0.20368889,0.0006296107],"about_ca_topic_score_codex":0.0004578458,"about_ca_topic_score_gemma":0.000023634848,"teacher_disagreement_score":0.2123087,"about_ca_system_score_codex":0.000025136917,"about_ca_system_score_gemma":0.000003801166,"threshold_uncertainty_score":0.6279707},"labels":[],"label_agreement":null},{"id":"W2024404237","doi":"10.4236/ti.2010.13021","title":"The Feasibility of Using an Automated Net Asset Value Validation Tool in an International Investment Bank","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","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":"Asset (computer security); Net asset value; Service (business); Business; Finance; Value (mathematics); Investment (military); Present value; Economics; Computer science; Marketing; Computer security","score_opus":0.1560876767192656,"score_gpt":0.45369460686019725,"score_spread":0.29760693014093165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024404237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997217,0.000021755799,0.00047907772,0.00052566204,0.0004675156,0.00036830586,0.000009450512,0.00015158621,0.0007596525],"genre_scores_gemma":[0.9584056,0.000002464657,0.041183155,0.00031992997,0.000021599144,0.000025048977,0.0000080856835,0.0000074219356,0.00002666106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976414,0.000517305,0.00066701596,0.0004675511,0.00049493957,0.00021182979],"domain_scores_gemma":[0.9979733,0.00056149886,0.00032801705,0.0008898368,0.00019420181,0.000053127897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006726116,0.00013562717,0.00021505148,0.0005501675,0.00017216704,0.00009890048,0.0007736695,0.00023240937,0.000043395376],"category_scores_gemma":[0.0047058323,0.00009238426,0.000028789846,0.00082989567,0.0006336991,0.0004347412,0.0002527597,0.00030044463,0.0000026677371],"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":[0.000079417354,0.00036171434,0.425716,0.0000035557528,0.000022472208,0.000003937457,0.00036226786,0.00044348525,0.051355153,0.4947438,0.00014506065,0.026763145],"study_design_scores_gemma":[0.00043210248,0.00024747834,0.28015968,0.00001051544,0.000009389869,0.000024236562,0.00026585767,0.17586406,0.011441939,0.5307091,0.00071280444,0.00012282387],"about_ca_topic_score_codex":0.000053945725,"about_ca_topic_score_gemma":0.00014037924,"teacher_disagreement_score":0.17542057,"about_ca_system_score_codex":0.00007454123,"about_ca_system_score_gemma":0.00010329151,"threshold_uncertainty_score":0.5633661},"labels":[],"label_agreement":null},{"id":"W2025170966","doi":"10.4236/ti.2014.53013","title":"CEO Pay-Performance Sensitivity: A Multi-Equation Model","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"Endogeneity; Profitability index; Salary; Debt; Net income; Economics; Stock (firearms); Executive compensation; Business; Monetary economics; Labour economics; Econometrics; Microeconomics; Finance; Incentive","score_opus":0.02409056570497415,"score_gpt":0.20046353363033528,"score_spread":0.17637296792536114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025170966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743368,0.000044865097,0.020557377,0.002458441,0.00007960527,0.00013759616,0.0000011043193,0.00021202871,0.0021721537],"genre_scores_gemma":[0.99261886,0.000025391264,0.001344226,0.0054365383,0.00008673582,0.00002647637,0.0000055428877,0.0000096873055,0.00044654598],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994049,0.000003552384,0.00012259801,0.00021564303,0.00007725721,0.00017603413],"domain_scores_gemma":[0.999621,0.0000071359837,0.0001303617,0.0001915528,0.000044128778,0.000005828427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020121908,0.00011555074,0.00012788553,0.00017574939,0.0001354977,0.000027661361,0.00006500448,0.00010389218,0.000004371401],"category_scores_gemma":[0.000043780292,0.00009280118,0.000015668917,0.00029619975,0.00010410159,0.00045317953,0.00008599016,0.00011806488,0.00012073576],"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":[0.000019538113,0.00009774392,0.14553502,0.00008828981,0.000011907327,0.00000435535,0.000020352394,0.0011752562,0.0016581047,0.8162727,0.0014083658,0.03370838],"study_design_scores_gemma":[0.0005995969,0.000022656433,0.049686838,0.000041038864,0.000018777253,0.0000031159482,0.000011037385,0.87863463,0.0006518449,0.039215185,0.030929191,0.00018609304],"about_ca_topic_score_codex":0.000035772246,"about_ca_topic_score_gemma":0.000038428127,"teacher_disagreement_score":0.87745935,"about_ca_system_score_codex":0.000015037878,"about_ca_system_score_gemma":0.000009887527,"threshold_uncertainty_score":0.37843224},"labels":[],"label_agreement":null},{"id":"W2026483605","doi":"10.4236/ti.2012.33026","title":"Research on Influence of Manager’s Innovation Preference on Innovation-Decision Making","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","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":"H2020 European Research Council; Foundation for the Author of National Excellent Doctoral Dissertation of the People's Republic of China","keywords":"Preference; Dilemma; Business; Principal (computer security); Task (project management); Selection (genetic algorithm); Marketing; Disruptive innovation; Industrial organization; Knowledge management; Economics; Management; Computer science; Microeconomics","score_opus":0.10471498855375411,"score_gpt":0.3472546392725155,"score_spread":0.24253965071876138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026483605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7822505,0.000028630273,0.000090804104,0.0007672552,0.00013462116,0.0003120438,5.2067884e-7,0.000101313795,0.21631429],"genre_scores_gemma":[0.9936728,0.000004544728,0.00048575207,0.0053124465,0.00012736488,0.00007157597,0.000009842374,0.000012861149,0.00030282393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986252,0.000013361294,0.00044076284,0.00025095436,0.000353387,0.00031632898],"domain_scores_gemma":[0.9986988,0.00005921431,0.00024762948,0.00034843045,0.00064122636,0.000004730768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001325487,0.00014342938,0.00014982927,0.005234928,0.00022964909,0.000047789723,0.00023090861,0.00014684841,0.00004324868],"category_scores_gemma":[0.0003960735,0.00012664373,0.000010536696,0.007608135,0.0002202282,0.0004484154,0.000321679,0.00031554326,0.00026536733],"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":[0.0000466714,0.00017164012,0.007878796,0.000077898905,0.000012774817,7.1476825e-7,0.000026407037,0.0000161049,0.00045283075,0.96796006,0.0015738803,0.02178223],"study_design_scores_gemma":[0.00076555624,0.0001842717,0.08918041,0.0006227765,0.000016741556,0.0000011157089,0.0009839233,0.00028228812,0.0027324343,0.8053482,0.09955338,0.00032886514],"about_ca_topic_score_codex":0.000004158386,"about_ca_topic_score_gemma":0.0000017436013,"teacher_disagreement_score":0.21601146,"about_ca_system_score_codex":0.0000585991,"about_ca_system_score_gemma":0.000012730351,"threshold_uncertainty_score":0.5164381},"labels":[],"label_agreement":null},{"id":"W2027182005","doi":"10.4236/ti.2013.44030","title":"Mobile Number Portability: A Case Study of Kenya","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"ICT Impact and Policies","field":"Engineering","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":"Service provider; Business; Commission; Newspaper; Marketing; Telecommunications; Service (business); Software portability; Asset (computer security); Mobile service; Advertising; Computer science; Computer security; Finance","score_opus":0.009027102208003531,"score_gpt":0.241707645557194,"score_spread":0.23268054334919047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027182005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954626,0.0002484246,0.000003064853,0.000024752877,0.000041667266,0.00037412823,0.0000015403847,0.00021821358,0.0036256227],"genre_scores_gemma":[0.99958926,0.000013267402,0.00006507136,0.000057124438,0.0000063916627,0.00014822715,4.4739573e-7,0.000007697866,0.0001124885],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9996637,0.000005987313,0.00012908275,0.000042676696,0.000032502172,0.00012604627],"domain_scores_gemma":[0.9997386,0.000008428605,0.000015043989,0.00019228624,0.000014161198,0.000031508258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032560612,0.00007887213,0.00012512621,0.00009446388,0.000027230875,0.0000045213906,0.000043926226,0.00008338943,0.00012149474],"category_scores_gemma":[0.000004797694,0.00006666037,0.000010484636,0.00014369127,0.00009372823,0.00004931407,0.00003189621,0.000082593026,0.000028588374],"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":[0.000010246969,0.0022569601,0.7545344,0.00039321303,0.0007645792,0.00039519998,0.09812415,0.00040957466,0.011900205,0.07451065,0.017282158,0.03941867],"study_design_scores_gemma":[0.007640336,0.0103563415,0.06384537,0.00012262224,0.00049625884,0.011805935,0.5621811,0.004516627,0.13113356,0.15027316,0.055099122,0.0025295382],"about_ca_topic_score_codex":0.00031827294,"about_ca_topic_score_gemma":0.00002471346,"teacher_disagreement_score":0.690689,"about_ca_system_score_codex":0.000011484823,"about_ca_system_score_gemma":0.000003864968,"threshold_uncertainty_score":0.2718331},"labels":[],"label_agreement":null},{"id":"W2027382747","doi":"10.4236/ti.2012.31005","title":"The Impact of Adoption of Flexible Manufacturing Technology on Price Cost Margin of Malaysian Manufacturing Industry","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","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":"Multicollinearity; Principal component analysis; Manufacturing; Econometrics; Explanatory power; Principal (computer security); Margin (machine learning); Industrial organization; Operations management; Business; Statistics; Computer science; Economics; Regression analysis; Marketing; Mathematics","score_opus":0.027642683370576345,"score_gpt":0.251333483179188,"score_spread":0.22369079980861167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027382747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990439,0.0008460028,0.000088463625,0.00059377664,0.000077525605,0.00021975272,0.000024286197,0.000036230995,0.0076749926],"genre_scores_gemma":[0.9993261,0.000075393866,0.00030889575,0.000049085582,0.000011909695,0.000027892193,0.0000040159434,0.00000928505,0.00018743874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991004,0.0000065017666,0.00047421537,0.00014760363,0.000029113251,0.00024218428],"domain_scores_gemma":[0.99910337,0.000024577455,0.0005006196,0.0003227775,0.000019011355,0.000029636763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029921747,0.00011723924,0.00026943994,0.0008318712,0.000063665975,0.0000040018076,0.00017194533,0.0003943109,0.0000669966],"category_scores_gemma":[0.00003204721,0.000096479635,0.000047042187,0.00035662268,0.0003187824,0.000089043395,0.00008642382,0.00031665873,0.000015138903],"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":[0.00002243326,0.00011350232,0.11634625,0.000027320259,0.000075593685,2.2680615e-7,0.000058890797,0.000027980419,0.00044034852,0.88012415,0.000102137215,0.0026611614],"study_design_scores_gemma":[0.00055612356,0.00041727012,0.47181177,0.000051453484,0.0000074714476,0.000010315413,0.00036520258,0.000050990217,0.421981,0.10088778,0.0036997036,0.00016090392],"about_ca_topic_score_codex":0.000027482964,"about_ca_topic_score_gemma":5.2967675e-7,"teacher_disagreement_score":0.7792364,"about_ca_system_score_codex":0.00006925042,"about_ca_system_score_gemma":0.000010751022,"threshold_uncertainty_score":0.39343253},"labels":[],"label_agreement":null},{"id":"W2028603414","doi":"10.4236/ti.2014.52008","title":"Investment Activity in Small Open Economies","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Regional Development and Management Studies","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":"Small open economy; Openness to experience; Investment (military); Economics; Foreign direct investment; Macro; Portfolio; Process (computing); Foreign portfolio investment; Macro level; Open economy; Economy; Economic system; Market economy; Macroeconomics; Production (economics); Finance; Return on investment; Open-ended investment company; Exchange rate","score_opus":0.047113655709390426,"score_gpt":0.2202193493639966,"score_spread":0.17310569365460615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028603414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7677935,0.00074962754,0.00021932862,0.012140247,0.0001329734,0.00043261488,0.0000034866366,0.000060581522,0.21846765],"genre_scores_gemma":[0.9891711,0.00037905542,0.0022003278,0.0046163276,0.000013031299,0.00023550665,0.0000046471205,0.000010246044,0.0033697726],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99911875,0.000010406889,0.00026601952,0.00037368273,0.000009178004,0.0002219888],"domain_scores_gemma":[0.9995932,0.00002008373,0.00013359937,0.00021819236,0.000005610987,0.00002931339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003826216,0.00013712613,0.00032965693,0.0005159167,0.00010124687,0.00004281763,0.00028229854,0.00009709988,0.000033211378],"category_scores_gemma":[0.00002886157,0.0001454576,0.000020685868,0.00018159255,0.0001773427,0.0001625153,0.0005809919,0.000100702106,0.0001498794],"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":[0.000006758245,0.000061137456,0.05996791,0.0000143792,0.000036846413,0.0000010265721,0.00008223266,0.0000021571122,0.000005533675,0.93731284,0.0011827165,0.0013264505],"study_design_scores_gemma":[0.0005251509,0.000069409696,0.060817197,0.000010125524,0.0000020488196,7.290822e-7,0.00006436159,0.00013652183,0.00013397154,0.6944053,0.24368656,0.00014863347],"about_ca_topic_score_codex":0.00012207952,"about_ca_topic_score_gemma":0.00019434665,"teacher_disagreement_score":0.24290755,"about_ca_system_score_codex":0.000078669524,"about_ca_system_score_gemma":0.0000072779917,"threshold_uncertainty_score":0.59315884},"labels":[],"label_agreement":null},{"id":"W2029144486","doi":"10.4236/ti.2012.32012","title":"Entrepreneurial Activity, Entry and Persistence of Firms: Econometric Analysis Based on Count Data","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","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":"Econometric analysis; Persistence (discontinuity); Survey data collection; Econometric model; Perspective (graphical); Business; Economics; Variable (mathematics); Industrial organization; Econometrics; Computer science; Statistics","score_opus":0.062430356533361125,"score_gpt":0.23689123752539198,"score_spread":0.17446088099203086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029144486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902196,0.0019760057,0.00031765384,0.0012652397,0.0001319274,0.00011531269,0.00016126782,0.000028635397,0.005784367],"genre_scores_gemma":[0.99865437,0.00014225153,0.00043957325,0.00062155107,0.000024011015,0.000009139947,0.000033295684,0.0000048674506,0.00007095166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922913,0.0000082798115,0.00025697876,0.00031053738,0.0000265684,0.00016851471],"domain_scores_gemma":[0.999165,0.000043573877,0.00021693949,0.0005160307,0.000011802311,0.000046680634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033158145,0.000098473036,0.00028730783,0.0014993992,0.000050705432,0.000011268664,0.00017547842,0.00012443338,0.00015540523],"category_scores_gemma":[0.00010310231,0.00010405151,0.000029993322,0.0012111422,0.00018337669,0.00016737093,0.00014815491,0.00009886512,0.000018279892],"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":[0.000017483222,0.00020906457,0.5891008,0.000019686348,0.00015948161,2.591498e-7,0.00005205381,0.000010586112,0.000023237033,0.4088214,0.000311294,0.0012746578],"study_design_scores_gemma":[0.0017895604,0.00044049608,0.89953434,0.000018117309,0.00019673003,0.0000045785537,0.00015212178,0.030955097,0.0019175877,0.028041063,0.036473885,0.00047642563],"about_ca_topic_score_codex":0.000024392377,"about_ca_topic_score_gemma":0.0000028064594,"teacher_disagreement_score":0.38078034,"about_ca_system_score_codex":0.00003281575,"about_ca_system_score_gemma":0.000008879863,"threshold_uncertainty_score":0.42430976},"labels":[],"label_agreement":null},{"id":"W2036760563","doi":"10.4236/ti.2013.41b006","title":"Based on ODE and ARIMA Modeling for the population of China","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Regional Economic and Spatial 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":"Autoregressive integrated moving average; Ode; China; Population; Econometrics; Computer science; Statistics; Applied mathematics; Mathematics; Demography; Time series; Geography; Sociology","score_opus":0.023568963564400722,"score_gpt":0.1969134309799585,"score_spread":0.17334446741555778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036760563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723661,0.00092584937,0.017138012,0.008268618,0.00002577844,0.00022610558,0.000009655281,0.000013449752,0.00102643],"genre_scores_gemma":[0.998208,0.00008069731,0.0009536304,0.00060864864,0.000008511249,0.00006074969,0.000005161314,0.0000037552568,0.00007085218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959826,0.0000019335712,0.0001902992,0.0001334453,0.000007386455,0.00006867239],"domain_scores_gemma":[0.9997435,0.000022931334,0.00009492159,0.00011743849,0.00000725049,0.000013932946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098047814,0.000052731542,0.00014748088,0.0001618785,0.00007329282,0.000008385032,0.000051883522,0.00006539278,0.00002178235],"category_scores_gemma":[0.000021748705,0.000041078652,0.000028191775,0.000058768543,0.00006748488,0.0000413947,0.00001584309,0.000040180923,0.000005645282],"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":[0.0000046929053,0.000015506017,0.020854538,0.0000068605755,0.000023157736,1.8770175e-8,0.000016016798,0.003112995,0.0000044024164,0.9740313,0.00005116975,0.0018793065],"study_design_scores_gemma":[0.0001343808,0.00004794081,0.014541613,0.0000028450318,0.0000047038693,1.8231168e-7,0.000012075728,0.57896554,0.00001686215,0.4059564,0.00028431183,0.00003316094],"about_ca_topic_score_codex":0.0005368377,"about_ca_topic_score_gemma":0.000010050579,"teacher_disagreement_score":0.5758525,"about_ca_system_score_codex":0.000013343818,"about_ca_system_score_gemma":0.000002528911,"threshold_uncertainty_score":0.16751388},"labels":[],"label_agreement":null},{"id":"W2039169854","doi":"10.4236/ti.2012.34032","title":"Knowledge Transferring Features in Traditional Construction Project Team in China: Based on SNA","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Knowledge Management and Sharing","field":"Social Sciences","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":"Perspective (graphical); Knowledge management; Computer science; Cluster (spacecraft); Feature (linguistics); China; Knowledge flow; Project team; Uniqueness; Business; Artificial intelligence; Mathematics","score_opus":0.034754710448834415,"score_gpt":0.29188509022767095,"score_spread":0.2571303797788365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039169854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7478681,0.00045955917,0.000017813221,0.00089637516,0.0001788374,0.0003333402,0.000001193371,0.00009364088,0.25015116],"genre_scores_gemma":[0.9991913,0.000031557538,0.00031849789,0.00010747558,0.00006290548,0.000081010294,0.000003646668,0.000004315,0.00019930903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993341,0.00006510158,0.00011427656,0.00014716203,0.00007888707,0.000260505],"domain_scores_gemma":[0.9998523,0.000026491774,0.000018124798,0.00006734761,0.0000059609156,0.000029803768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041223626,0.000083040446,0.00010723001,0.0007466616,0.00015344037,0.000012743781,0.00008632544,0.00015005507,0.000026640979],"category_scores_gemma":[0.00003890598,0.000080083766,0.000017288441,0.000541425,0.000295856,0.0001370686,0.000016634534,0.00021581075,0.0000058548917],"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":[0.000011364067,0.00021253245,0.084030785,0.00001440137,0.0000040987757,0.0000012250412,0.004007645,0.00000471542,0.00003231804,0.90342975,0.00024726393,0.00800393],"study_design_scores_gemma":[0.0038784826,0.00044852842,0.7418845,0.00047971852,0.000037450936,0.0000072951093,0.015614769,0.0020140042,0.0016804129,0.16411483,0.069057144,0.0007828115],"about_ca_topic_score_codex":0.00009492116,"about_ca_topic_score_gemma":0.0009638687,"teacher_disagreement_score":0.7393149,"about_ca_system_score_codex":0.00012884746,"about_ca_system_score_gemma":0.00004484535,"threshold_uncertainty_score":0.32657212},"labels":[],"label_agreement":null},{"id":"W2043961404","doi":"10.4236/ti.2011.23019","title":"Analysis on the Mindbugs in Information Technology Service Management Project Implementation","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Software Engineering Techniques and Practices","field":"Computer Science","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":"Work (physics); Process management; Service (business); Computer science; Habit; Process (computing); Knowledge management; Project management; Business; Psychology; Marketing; Engineering; Systems engineering","score_opus":0.02344030207645089,"score_gpt":0.26844474023525255,"score_spread":0.24500443815880166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043961404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69979584,0.00016178381,0.25995436,0.021739515,0.00014475061,0.0018467379,0.0000041901135,0.0022430366,0.014109772],"genre_scores_gemma":[0.9166906,0.000085969106,0.08072273,0.0020843663,0.0000023626856,0.00039828737,0.000004280014,0.0000032804953,0.000008145106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994,0.000020447636,0.00017764507,0.00016354497,0.00008310555,0.00015524673],"domain_scores_gemma":[0.99943143,0.000024581052,0.00008761046,0.00042104314,0.000024084482,0.000011255613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026934076,0.00009530394,0.000095418014,0.0017301517,0.00006594385,0.000026914915,0.00044861593,0.00010348031,0.000011077485],"category_scores_gemma":[0.000012367088,0.00007013904,0.000015724596,0.0031400512,0.00003920161,0.00037150108,0.00023216078,0.00015162987,0.000011782677],"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":[0.000003448506,0.000026591786,0.0047469055,0.000008547864,0.00008245272,0.0000037856187,0.0006761201,0.00000522653,0.0000051797856,0.9436023,0.00013436555,0.05070508],"study_design_scores_gemma":[0.0017148588,0.0016692966,0.11805914,0.00011141201,0.00045099514,0.00006670716,0.007928786,0.02283088,0.030866357,0.6744938,0.14064784,0.0011599166],"about_ca_topic_score_codex":0.000082015824,"about_ca_topic_score_gemma":0.000037804744,"teacher_disagreement_score":0.2691085,"about_ca_system_score_codex":0.00003460351,"about_ca_system_score_gemma":0.000010593937,"threshold_uncertainty_score":0.2860187},"labels":[],"label_agreement":null},{"id":"W2047097990","doi":"10.4236/ti.2013.43019","title":"The Research of the Relationship between Low Carbon-Based Marketing Innovation and Organizational Performance","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","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":"Business; Green innovation; Market orientation; Marketing; Conceptual model; Organizational performance; Marketing management; Structural equation modeling; Industrial organization; Computer science","score_opus":0.025728239342753572,"score_gpt":0.2413383575156785,"score_spread":0.21561011817292494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047097990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98784226,0.000059220598,0.0000057183756,0.011117979,0.000022899221,0.00036535057,2.3342483e-7,0.000025553101,0.0005607885],"genre_scores_gemma":[0.9994458,0.0000021231172,0.000060982125,0.00031598264,0.000036382204,0.000048131584,0.0000039340794,0.0000066020834,0.000080045196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939406,0.000026336587,0.00017200701,0.000117856245,0.00015481001,0.00013491148],"domain_scores_gemma":[0.99925405,0.00029714053,0.00009987899,0.00018491007,0.00016100609,0.0000030461172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008693013,0.00006072357,0.00005751141,0.00022320994,0.0005193465,0.00004278549,0.00014577732,0.00008069073,0.00000975217],"category_scores_gemma":[0.0012782988,0.000038702943,0.0000049155815,0.0014330213,0.0008397846,0.00016115408,0.00025946807,0.00017684087,0.0000038707312],"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":[0.000002458678,0.000009274283,0.84607667,0.000072698174,0.0000026136563,2.9506323e-8,0.000005932685,0.0000052299533,0.00011493249,0.15287502,0.00004820777,0.00078693783],"study_design_scores_gemma":[0.000114781265,0.000005008838,0.9302464,0.000032420598,0.0000050112217,2.3964594e-7,0.00013724921,0.00089104974,0.0003375022,0.0677381,0.00045175594,0.000040480416],"about_ca_topic_score_codex":0.000038222577,"about_ca_topic_score_gemma":0.000003267867,"teacher_disagreement_score":0.08513691,"about_ca_system_score_codex":0.000043661465,"about_ca_system_score_gemma":0.000019145593,"threshold_uncertainty_score":0.39944458},"labels":[],"label_agreement":null},{"id":"W2048264225","doi":"10.4236/ti.2015.61003","title":"Foreign Ownership, Employment and Wages in Brazil: Evidence from Acquisitions, Divestments and Job Movers","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Central European University","keywords":"Divestment; Foreign ownership; Labour economics; Foreign direct investment; Wage; Business; Panel data; Order (exchange); Job loss; Economics; Unemployment; Finance","score_opus":0.09004868353202937,"score_gpt":0.24718452498891635,"score_spread":0.15713584145688697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048264225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731666,0.019858385,0.000039822797,0.00279838,0.00007289142,0.00020945516,0.00005659734,0.000045229717,0.0037526628],"genre_scores_gemma":[0.9936666,0.002564061,0.001663894,0.0019145182,0.00001540321,0.000044166816,0.000008047855,0.000009331957,0.00011396657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989951,0.000010215966,0.00031622231,0.0004209305,0.000021562282,0.0002359362],"domain_scores_gemma":[0.9995213,0.000032045635,0.000109464774,0.00020606269,0.00000732189,0.00012379444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022487571,0.0001496217,0.00028494434,0.00030298048,0.00006496163,0.00004492522,0.0001117918,0.00017957597,0.00002090842],"category_scores_gemma":[0.000065323926,0.00015890917,0.000016540309,0.00013708537,0.00024858577,0.00031092454,0.00017521389,0.00012142142,0.000039530707],"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":[0.000014344735,0.000031114156,0.47641346,0.000005503875,0.000028953276,0.0000064368182,0.00027487843,0.000003793121,0.000019233596,0.5221295,0.0004627607,0.0006100131],"study_design_scores_gemma":[0.0009851748,0.00020545901,0.23583426,0.00005473353,0.000009414865,0.000008821146,0.0007035145,0.00025801067,0.0002624551,0.75763804,0.0038286601,0.00021147027],"about_ca_topic_score_codex":0.00037776746,"about_ca_topic_score_gemma":0.00005840792,"teacher_disagreement_score":0.24057922,"about_ca_system_score_codex":0.00010447969,"about_ca_system_score_gemma":0.000010575755,"threshold_uncertainty_score":0.6480128},"labels":[],"label_agreement":null},{"id":"W2048370267","doi":"10.4236/ti.2011.21002","title":"A Study on the Factors That Influence Innovation Activities of Spanish Big Firms","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":31,"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":"Order (exchange); Structural equation modeling; Business; Sample (material); Process (computing); Product innovation; Set (abstract data type); Product (mathematics); Knowledge management; Marketing; Industrial organization; Innovation process; Innovation management; Affect (linguistics); Human resources; Big data; Economics; Computer science; Management; Work in process; Finance","score_opus":0.10961138649520873,"score_gpt":0.23124842464079595,"score_spread":0.12163703814558723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048370267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98961055,0.000052356405,0.000024558958,0.00038516853,0.00007029456,0.00022352497,0.000010167637,0.00004070898,0.0095826695],"genre_scores_gemma":[0.99922335,0.000007381457,0.000047913294,0.00057069625,0.0000025787479,0.00003751631,0.0000015236186,0.000005449602,0.00010361077],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994632,0.0000064504143,0.0002529103,0.0001584927,0.000023394568,0.000095562056],"domain_scores_gemma":[0.9994964,0.000021158916,0.00022796095,0.00022711996,0.000019512154,0.0000078252415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019211811,0.00008402563,0.00014951304,0.0005245759,0.00007328668,0.000007832683,0.00012675153,0.00008404619,0.00004135361],"category_scores_gemma":[0.000068837326,0.00006450823,0.000012333791,0.00068971433,0.00020359062,0.000075434684,0.00005120873,0.000121855606,0.000013317013],"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":[0.0000030401338,0.000086576474,0.39933848,0.0000021094045,0.000017490165,2.699697e-7,0.0008007239,4.4544727e-8,0.00005393823,0.59957415,0.000021431752,0.00010177833],"study_design_scores_gemma":[0.00017952122,0.000356003,0.6962036,0.0000061303504,0.0000021545495,6.0519426e-7,0.0029291217,0.000002524573,0.0161572,0.28333923,0.0007484718,0.00007541837],"about_ca_topic_score_codex":0.000075284355,"about_ca_topic_score_gemma":0.000007943203,"teacher_disagreement_score":0.3162349,"about_ca_system_score_codex":0.000017751408,"about_ca_system_score_gemma":0.000006753404,"threshold_uncertainty_score":0.26305693},"labels":[],"label_agreement":null},{"id":"W2048543487","doi":"10.4236/ti.2012.34033","title":"Students’ Choice of Major and Future Occupations: Implications for Education Policy","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Education Systems and Policy","field":"Social Sciences","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":"Human capital; Order (exchange); Position (finance); Investment (military); Subject (documents); Public policy; Public relations; Psychology; Political science; Sociology; Economic growth; Business; Economics; Finance","score_opus":0.03777379600499107,"score_gpt":0.42690581197719696,"score_spread":0.38913201597220587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048543487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94062644,0.0034723396,0.000028285554,0.050801132,0.00021260983,0.0005795765,0.000015361094,0.000043415053,0.0042208377],"genre_scores_gemma":[0.9956268,0.00031316507,0.0010077865,0.0012248016,0.0008020585,0.00037606497,0.000006805954,0.0000038399776,0.0006386487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995891,0.000025572563,0.0001238071,0.00008008177,0.000045519428,0.00013590675],"domain_scores_gemma":[0.99960893,0.000044221048,0.00008699633,0.00011893895,0.00007098187,0.00006995748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000199688,0.000047372185,0.00007578584,0.00024283594,0.0002763134,0.000011679469,0.000087967,0.00011359886,0.0000073761425],"category_scores_gemma":[0.00010771034,0.000044358607,0.000011653784,0.00031548692,0.00021475193,0.00010965934,0.000022505701,0.000034956014,0.0000019286658],"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":[4.9398886e-7,0.00006762618,0.27633694,0.000008925723,0.0000068223626,3.9671544e-10,0.0032196615,2.298263e-9,0.000055330365,0.7135946,0.0013683803,0.0053412216],"study_design_scores_gemma":[0.00010703811,0.000022525459,0.3446212,0.00000722273,0.000013447945,7.5511446e-7,0.008743154,5.2986653e-8,0.0000789189,0.04820591,0.598153,0.000046758225],"about_ca_topic_score_codex":0.00055013166,"about_ca_topic_score_gemma":0.000080189726,"teacher_disagreement_score":0.6653887,"about_ca_system_score_codex":0.000041381438,"about_ca_system_score_gemma":0.00020575621,"threshold_uncertainty_score":0.21252072},"labels":[],"label_agreement":null},{"id":"W2049532981","doi":"10.4236/ti.2013.41003","title":"Analysis of China’s Import from &amp;amp; Direct Investment in ASEAN—Based on Gravity Models","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Regional Economic and Spatial 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":"Gravity model of trade; China; Foreign direct investment; Gross domestic product; Foreign-exchange reserves; Bilateral trade; Economics; International trade; Tariff; Per capita; Investment (military); East Asia; International economics; Geography; Exchange rate; Economic growth; Political science; Finance; Macroeconomics; Demography","score_opus":0.030521066826979068,"score_gpt":0.21670808360165353,"score_spread":0.18618701677467447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049532981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776143,0.00082820724,0.00087997626,0.0022057595,0.00003683474,0.00023536943,0.00013467523,0.0000375792,0.018027315],"genre_scores_gemma":[0.996084,0.0001554434,0.0013118434,0.0018107982,0.000008810083,0.0001142163,0.00015723916,0.0000106708585,0.00034702412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846315,0.000020047362,0.0007156561,0.0005271506,0.000042192903,0.00023181137],"domain_scores_gemma":[0.998926,0.000039189363,0.00037359388,0.0005597762,0.00001688783,0.00008454392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026000766,0.00019724618,0.0008345283,0.0018692503,0.00005335635,0.000017863043,0.00020523489,0.00021542235,0.0004501205],"category_scores_gemma":[0.000036992675,0.00019651213,0.0001837348,0.0009343138,0.00023476114,0.00013036441,0.00007113794,0.00015996891,0.00013269148],"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":[0.000017704948,0.00034722718,0.33726636,0.000007815475,0.000768716,0.0000014835791,0.00013226733,0.011908603,0.00003432528,0.6485467,0.0005343941,0.0004344239],"study_design_scores_gemma":[0.0004915323,0.00006856677,0.20021312,0.0000126129435,0.00012480257,1.7300323e-7,0.000025502373,0.1178602,0.00008398339,0.6777024,0.0031586252,0.0002584703],"about_ca_topic_score_codex":0.009991972,"about_ca_topic_score_gemma":0.0012187895,"teacher_disagreement_score":0.13705325,"about_ca_system_score_codex":0.00012962543,"about_ca_system_score_gemma":0.000022042132,"threshold_uncertainty_score":0.99660057},"labels":[],"label_agreement":null},{"id":"W2049800049","doi":"10.4236/ti.2013.44031","title":"Using the ISO 19761 COSMIC Measurement Standard to Reduce “Information Asymmetry” in Software Development Contracts and Enable Greater Competitiveness","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Software Engineering Research","field":"Computer Science","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Software; Information asymmetry; Software development; Quality (philosophy); Computer science; Lead (geology); Business; Industrial organization; COSMIC cancer database; Software quality; Environmental economics; Risk analysis (engineering); Economics; Finance; Operating system","score_opus":0.03153201895860408,"score_gpt":0.2521696490963532,"score_spread":0.22063763013774912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049800049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8202593,0.00036952368,0.17649616,0.0018734257,0.00007915951,0.0006998849,0.0000010513942,0.00016975804,0.00005173807],"genre_scores_gemma":[0.9444578,0.000008066695,0.05472575,0.00063452433,0.000004958253,0.00015300546,7.671858e-7,0.0000048939673,0.000010213977],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989949,0.000029936498,0.00019809962,0.00020090622,0.000273805,0.00030234572],"domain_scores_gemma":[0.99942786,0.0000590093,0.00003712385,0.00025848157,0.0001461878,0.000071366885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052737695,0.000121485304,0.00014039104,0.0004190754,0.00014232223,0.00012050419,0.000290158,0.00008026059,0.000005235736],"category_scores_gemma":[0.00023710799,0.000091393646,0.0000072501475,0.00045950466,0.00009770062,0.0003961034,0.0003303947,0.00016655077,0.000015815496],"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":[0.000116114345,0.00026198023,0.3031283,0.0004545211,0.0003222712,0.00005879417,0.014025254,0.0025506674,0.015435216,0.23269527,0.0018134471,0.42913818],"study_design_scores_gemma":[0.0045788754,0.0009607341,0.52894825,0.0011365071,0.000024128236,0.00025814472,0.0015107822,0.012938992,0.34634528,0.03259066,0.06923691,0.0014707445],"about_ca_topic_score_codex":0.000043986736,"about_ca_topic_score_gemma":0.000006521078,"teacher_disagreement_score":0.42766744,"about_ca_system_score_codex":0.0002754847,"about_ca_system_score_gemma":0.00011133222,"threshold_uncertainty_score":0.3726925},"labels":[],"label_agreement":null},{"id":"W2049966153","doi":"10.4236/ti.2014.53015","title":"Conceptual Analysis and Fieldwork in Macroeconometric Methodology: Modeling Unemployment, Inflation and Production","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Theory and Policy","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":"Universidad Politécnica de Madrid","keywords":"Mainstream; Unemployment; Inflation (cosmology); Econometric model; Interdependence; Economics; Macroeconomics; Phenomenon; Production (economics); Econometrics; Sociology; Social science; Political science; Epistemology","score_opus":0.060829268651528545,"score_gpt":0.2642498406625577,"score_spread":0.20342057201102914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049966153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894808,0.0023025945,0.0042532543,0.001777652,0.000069927744,0.00013049855,0.000004939907,0.000035815316,0.001944497],"genre_scores_gemma":[0.9963399,0.0004886551,0.002430064,0.0005305037,0.000030203766,0.000027296981,0.0000050109775,0.0000058287565,0.00014250858],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990824,0.00003762918,0.00034975453,0.00036680236,0.0000050877347,0.00015834224],"domain_scores_gemma":[0.99957925,0.00007426507,0.00013462159,0.000168008,0.0000057722687,0.00003806789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082294433,0.00010353558,0.00033721898,0.0015326497,0.000074099466,0.000016030854,0.000053594926,0.000182634,0.000030832845],"category_scores_gemma":[0.00019614755,0.00011945584,0.000020971824,0.0005975606,0.00022678409,0.00012512623,0.00006773519,0.0001390792,0.000008402545],"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":[0.000006385442,0.000009486289,0.2078544,0.0000052807727,0.00005789191,1.2987962e-7,0.0003531352,0.00031819826,0.000010270187,0.78887284,0.000004697529,0.0025072827],"study_design_scores_gemma":[0.00036966466,0.00008439212,0.014841199,0.0000052180794,0.000031443877,0.0000047647254,0.00023029398,0.016321512,0.0001846217,0.96581256,0.0019577062,0.00015659218],"about_ca_topic_score_codex":0.00010688531,"about_ca_topic_score_gemma":0.00009511267,"teacher_disagreement_score":0.1930132,"about_ca_system_score_codex":0.000028665516,"about_ca_system_score_gemma":0.0000034552122,"threshold_uncertainty_score":0.4871268},"labels":[],"label_agreement":null},{"id":"W2051982622","doi":"10.4236/ti.2012.32016","title":"A Rule-Based Expert System for Industrial Training","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"AI-based Problem Solving and Planning","field":"Computer Science","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":"China Scholarship Council; Loughborough University","keywords":"Computer science; CLIPS; Expert system; Range (aeronautics); Software; Knowledge base; Base (topology); Chemical plant; Data mining; Machine learning; Artificial intelligence; Operating system; Engineering","score_opus":0.07137952249242278,"score_gpt":0.2607627433003964,"score_spread":0.1893832208079736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051982622","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":[0.34911096,0.005418792,0.6287425,0.008860596,0.0015987512,0.0009643891,0.0000111272,0.002389732,0.0029031367],"genre_scores_gemma":[0.9261881,9.639251e-7,0.072434686,0.0010611027,0.00010464118,0.00016591653,0.0000037864925,0.000006566689,0.000034202014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991944,0.000027812966,0.00014936048,0.0002001212,0.000070538015,0.00035776763],"domain_scores_gemma":[0.9994992,0.00008707051,0.00006709096,0.00024438658,0.000017207387,0.00008504623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039612758,0.00011272471,0.00014924939,0.00021855188,0.00019818135,0.000028549299,0.00025709922,0.00022832227,0.0000016713968],"category_scores_gemma":[0.000039826373,0.000098933764,0.000026446067,0.0002239895,0.000074572636,0.00014684118,0.00006652414,0.00014285296,0.0000058255014],"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":[0.000012873576,0.000039616945,0.002459224,0.000026777467,0.000023846587,0.0000028183383,0.0011990033,0.000011860883,0.00086147676,0.95582634,0.0019371262,0.037599057],"study_design_scores_gemma":[0.013031422,0.002877464,0.0006536595,0.0015567627,0.000114948976,0.00035574366,0.004804402,0.12769988,0.20226741,0.07557136,0.5686374,0.0024295626],"about_ca_topic_score_codex":0.0000049512314,"about_ca_topic_score_gemma":1.8573171e-7,"teacher_disagreement_score":0.880255,"about_ca_system_score_codex":0.0000437654,"about_ca_system_score_gemma":0.00006589516,"threshold_uncertainty_score":0.4034402},"labels":[],"label_agreement":null},{"id":"W2052512481","doi":"10.4236/ti.2015.62009","title":"Disruptive Technology as Antecedent to CEO Pay-Performance Sensitivity","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"Incentive; Disruptive innovation; Empirical evidence; Maturity (psychological); Business; Marketing; Mainstream; Stock (firearms); Economics; Industrial organization; Microeconomics","score_opus":0.017457481276677657,"score_gpt":0.2231025570455119,"score_spread":0.20564507576883426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052512481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773981,0.00016877036,0.0002461843,0.015084921,0.0002342478,0.0003222707,0.000003329708,0.00040324734,0.006138959],"genre_scores_gemma":[0.9920551,0.000032041044,0.00030997663,0.006719542,0.00012712234,0.00007327569,0.000003935217,0.000015922487,0.0006630426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989031,0.000004784742,0.00018932787,0.00039841433,0.00015083604,0.00035356742],"domain_scores_gemma":[0.99933004,0.0000073838232,0.00015296762,0.00034426543,0.00013781984,0.00002754481],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023144169,0.00020748764,0.0002439806,0.0005844198,0.00014272188,0.000039150873,0.00017391128,0.00020253586,0.000010663197],"category_scores_gemma":[0.00013167333,0.00016679968,0.00002140712,0.0013230857,0.00025331424,0.00044003193,0.00039475824,0.00023098441,0.0008107282],"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":[0.00011953826,0.0001680191,0.28468406,0.00005432189,0.000035663248,0.00012726863,0.000080699945,0.000040133767,0.0018214157,0.6754589,0.009122856,0.028287096],"study_design_scores_gemma":[0.0018352641,0.00050787535,0.10015912,0.00022242739,0.00006865926,0.00013584801,0.0009612106,0.0012127317,0.011818329,0.16774265,0.71444285,0.0008930212],"about_ca_topic_score_codex":0.00012402413,"about_ca_topic_score_gemma":0.00008848059,"teacher_disagreement_score":0.70532,"about_ca_system_score_codex":0.00006470054,"about_ca_system_score_gemma":0.000040154864,"threshold_uncertainty_score":0.9999673},"labels":[],"label_agreement":null},{"id":"W2053243879","doi":"10.4236/ti.2011.24031","title":"Ex-Ante Asymmetric Regulation and Retail Mmarket Competition: Evidence from Europe’s Mobile Industry","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"ICT Impact and Policies","field":"Engineering","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":"Competition (biology); Ex-ante; Flexibility (engineering); Industrial organization; Business; Information asymmetry; Economics; Microeconomics","score_opus":0.030235447446695964,"score_gpt":0.22300110908326193,"score_spread":0.19276566163656597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053243879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803222,0.0051834187,0.000078661506,0.00016652395,0.00008618091,0.000118251875,0.0000071243458,0.00030206234,0.013735564],"genre_scores_gemma":[0.99809176,0.0008260015,0.00041334593,0.00018992736,0.000028164584,0.000018510686,0.0000048057245,0.000011053601,0.00041641775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995899,0.000017048666,0.00012311633,0.00007923777,0.000051279105,0.00013941975],"domain_scores_gemma":[0.99970096,0.00002993331,0.000025873649,0.00017553863,0.000020221707,0.000047440393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007629043,0.00010667668,0.000116833864,0.00026122804,0.00005114218,0.000016600077,0.00007593632,0.00026392474,0.00013370607],"category_scores_gemma":[0.000035499877,0.00009897868,0.000009038181,0.00036124856,0.00016527603,0.00020063091,0.000054415115,0.00024245343,0.000022339847],"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":[0.00010203334,0.00015562546,0.25317284,0.00025227558,0.00037814296,0.000036529316,0.011713276,0.00009132439,0.025600476,0.6262867,0.014963221,0.067247555],"study_design_scores_gemma":[0.0009853226,0.00086461625,0.71842587,0.0005983396,0.00016086925,0.0001220969,0.0017581148,0.002402921,0.13663408,0.05744289,0.0797331,0.0008717836],"about_ca_topic_score_codex":0.00003646517,"about_ca_topic_score_gemma":0.0000041849944,"teacher_disagreement_score":0.5688438,"about_ca_system_score_codex":0.00001847815,"about_ca_system_score_gemma":0.000006876893,"threshold_uncertainty_score":0.4036233},"labels":[],"label_agreement":null},{"id":"W2054282196","doi":"10.4236/ti.2011.24029","title":"Internal Control Disclosure and Corporate Governance: Empirical Research from Chinese Listed Companies","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":38,"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":"Hohai University","keywords":"Accounting; Remuneration; Business; Corporate governance; Control (management); Sample (material); Empirical research; Finance; Management; Economics","score_opus":0.04908373472122755,"score_gpt":0.27449517721853073,"score_spread":0.2254114424973032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054282196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98257214,0.0009272729,0.001586829,0.002474323,0.00014559655,0.0003382014,0.000012676466,0.0002443474,0.011698587],"genre_scores_gemma":[0.9961338,0.000076828015,0.00035860887,0.0025499917,0.00021331735,0.00005456992,0.000010569156,0.000024120416,0.0005781856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854237,0.00002804272,0.00027710164,0.0004921842,0.0002778539,0.00038244994],"domain_scores_gemma":[0.99688965,0.000052544045,0.0026227913,0.0003016967,0.00010854852,0.000024775667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038421527,0.00023231552,0.00030926816,0.00026763332,0.0002833515,0.00011787854,0.00034883377,0.00016321779,0.00018770418],"category_scores_gemma":[0.0013009016,0.000189176,0.000029285025,0.00058979593,0.00089916616,0.00045719268,0.00072733127,0.0005241792,0.00011493084],"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":[0.00009648306,0.00009077418,0.77086234,0.000041636613,0.00007917606,0.00005082445,0.00016700583,8.230883e-7,0.00015573674,0.21348016,0.0034719824,0.011503036],"study_design_scores_gemma":[0.0012359761,0.00006907384,0.7856497,0.00009086324,0.00004064543,0.00000570289,0.00019816196,0.00077941816,0.00004401637,0.17102836,0.040628448,0.00022961583],"about_ca_topic_score_codex":0.0008636968,"about_ca_topic_score_gemma":0.00019843578,"teacher_disagreement_score":0.042451803,"about_ca_system_score_codex":0.00003934966,"about_ca_system_score_gemma":0.000012676666,"threshold_uncertainty_score":0.77143735},"labels":[],"label_agreement":null},{"id":"W2054685447","doi":"10.4236/ti.2010.14032","title":"An Application of Fuzzy Set Theory to the Weighted Average Cost of Capital and Capital Structure Decision","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","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":"Weighted average cost of capital; Cost of capital; Economics; Capital structure; Cost of equity; Fuzzy logic; Tax shield; Ranking (information retrieval); Econometrics; Debt; Microeconomics; Actuarial science; Computer science; Finance; Tax reform; Public economics; Financial capital; Capital formation; State income tax; Artificial intelligence","score_opus":0.023118803139394815,"score_gpt":0.34218128912441725,"score_spread":0.31906248598502246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054685447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98608714,0.00017716731,0.012295739,0.00050827407,0.00017520142,0.00053842633,0.00009069217,0.000030931362,0.00009645197],"genre_scores_gemma":[0.98712474,0.0000063032194,0.012472495,0.00031979944,0.000020942116,0.000023789344,0.000005565823,0.000008047288,0.000018310602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829286,0.000096194235,0.0005245302,0.0004522227,0.00047366877,0.0001605395],"domain_scores_gemma":[0.99789405,0.0005404714,0.00025406547,0.0010199245,0.00020002015,0.000091460905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013460274,0.0001443684,0.00027709163,0.00057565223,0.00014050234,0.000045762674,0.00069689314,0.00025599048,0.000103391016],"category_scores_gemma":[0.0007551833,0.000084813306,0.000028018712,0.00059983385,0.00059869984,0.00015341706,0.00032163344,0.00025022565,0.000012709739],"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":[0.00009639684,0.000054231903,0.0064342897,0.0000034120721,0.000013237763,0.0000018987142,0.0019070383,0.00001820211,0.16843683,0.55620044,0.00023886858,0.26659516],"study_design_scores_gemma":[0.00043326465,0.00021362049,0.03239438,0.000010975083,0.000011533383,0.000038659564,0.0014772033,0.0018000577,0.03207788,0.9271925,0.0042308313,0.00011910044],"about_ca_topic_score_codex":0.000013488217,"about_ca_topic_score_gemma":0.00013962756,"teacher_disagreement_score":0.37099206,"about_ca_system_score_codex":0.000009643805,"about_ca_system_score_gemma":0.000025440553,"threshold_uncertainty_score":0.34585863},"labels":[],"label_agreement":null},{"id":"W2055956207","doi":"10.4236/ti.2010.13023","title":"Evaluation of Venture Capital Based on Evaluation Model","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","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":"Profitability index; Venture capital; Index (typography); Constraint (computer-aided design); Investment (military); Econometrics; Capital (architecture); Projection (relational algebra); Work (physics); Order (exchange); Regression analysis; Computer science; Economics; Actuarial science; Finance; Mathematics; Statistics; Engineering","score_opus":0.03361697091266451,"score_gpt":0.26175798610976675,"score_spread":0.22814101519710223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055956207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97802866,0.000053624142,0.00017394709,0.0020966195,0.00021189597,0.00036816718,0.0000011597432,0.00006293047,0.019003013],"genre_scores_gemma":[0.9983065,0.000001007438,0.0003404476,0.0011353114,0.00008500322,0.00007859686,0.000038691276,0.0000073215824,0.0000071364575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991578,0.0000061077103,0.00015837456,0.00016467208,0.0004137846,0.000099282566],"domain_scores_gemma":[0.9989933,0.000004548809,0.00015329542,0.0001985267,0.00064677984,0.0000035599444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010076867,0.0000938578,0.000092706985,0.00045090952,0.0000801737,0.000026373024,0.000079225305,0.00016290057,0.00012411918],"category_scores_gemma":[0.00015194381,0.00008177158,0.000016180727,0.0004398703,0.00011277072,0.00029062634,0.00003117943,0.00014730745,0.000009885077],"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":[0.000012406944,0.00010120878,0.0009526354,0.000028834225,0.000009724909,1.2844127e-7,0.000010105259,0.004546862,0.008757422,0.96398777,0.00039107885,0.021201806],"study_design_scores_gemma":[0.0005799983,0.00001846602,0.0040894696,0.000014769238,0.00008963692,2.978047e-7,0.00005220932,0.69249153,0.0009669723,0.3011851,0.00044188282,0.00006963717],"about_ca_topic_score_codex":0.000018046654,"about_ca_topic_score_gemma":0.000023513641,"teacher_disagreement_score":0.6879447,"about_ca_system_score_codex":0.000021951308,"about_ca_system_score_gemma":0.00007161742,"threshold_uncertainty_score":0.33345482},"labels":[],"label_agreement":null},{"id":"W2057729865","doi":"10.4236/ti.2011.24028","title":"Product Configuration Management in ICT Companies: The Practitioners’ Perspective","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Product Development and Customization","field":"Business, Management and Accounting","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":"Product management; Product (mathematics); Product engineering; Process management; New product development; Service product management; Computer science; Information and Communications Technology; Perspective (graphical); Service (business); Portfolio; Product design specification; Configuration Management (ITSM); Business; Product design; Risk analysis (engineering); Knowledge management; Marketing; Service delivery framework; Service design; World Wide Web","score_opus":0.02347511370421194,"score_gpt":0.21776714895981006,"score_spread":0.19429203525559813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057729865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6507641,0.0006955152,0.00016034448,0.018755903,0.00036146378,0.0015202938,4.799731e-7,0.0003981959,0.3273437],"genre_scores_gemma":[0.99637085,0.00004120116,0.00043928655,0.0026022468,0.000071011986,0.00013265036,0.000009703267,0.00000768096,0.00032535716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993501,0.000008180935,0.00015385829,0.0002514907,0.00008613113,0.00015029548],"domain_scores_gemma":[0.99963295,0.000004206138,0.00010680232,0.00018236571,0.000069707596,0.0000039861516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022296792,0.00010928075,0.00009349262,0.0004386334,0.00016705513,0.000039194725,0.00013070737,0.000047249312,0.00008624623],"category_scores_gemma":[0.000034749606,0.00008090985,0.000011352944,0.00062370946,0.00016667198,0.0005030948,0.00009666199,0.00011502047,0.00009063609],"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":[0.00002232186,0.00007673932,0.0023883597,0.000017105742,0.000030494693,0.0000050805793,0.00059546065,0.000002423641,0.00009910456,0.99407893,0.0015947513,0.0010892116],"study_design_scores_gemma":[0.0013191691,0.000044204186,0.1012791,0.000073309624,0.00012326505,0.000013423856,0.024624215,0.0006272302,0.0038539765,0.7535181,0.11400578,0.0005182128],"about_ca_topic_score_codex":0.0000797611,"about_ca_topic_score_gemma":0.000036109093,"teacher_disagreement_score":0.34560677,"about_ca_system_score_codex":0.00005092964,"about_ca_system_score_gemma":0.000009926086,"threshold_uncertainty_score":0.3299408},"labels":[],"label_agreement":null},{"id":"W2058038819","doi":"10.4236/ti.2010.12013","title":"Simple Differential Equations of A &amp;amp; H Stock Prices and Application to Analysis of Equilibrium State","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Power Systems and Renewable Energy","field":"Energy","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":"Differential equation; Stock (firearms); Nonlinear system; Mathematical economics; Mathematics; State variable; Applied mathematics; Economics; Mathematical analysis; Thermodynamics; Physics","score_opus":0.01165431470444653,"score_gpt":0.25879118747472635,"score_spread":0.24713687277027982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058038819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728177,0.00016594773,0.026092457,0.00013501209,0.0000491791,0.00014075173,0.000021306802,0.00004891782,0.000528682],"genre_scores_gemma":[0.9982961,0.000010646688,0.0011110452,0.000043370554,0.000010276786,0.00006955672,0.00004099491,0.000006735328,0.00041131102],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929243,0.000014308245,0.00027565463,0.00020088641,0.00008429639,0.000132439],"domain_scores_gemma":[0.9993597,0.000033093358,0.0001529293,0.00034829834,0.000048971473,0.00005699397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077757766,0.00009557523,0.00027787182,0.0006288846,0.000039790582,0.0000061822757,0.0001064054,0.00013332017,0.000038555143],"category_scores_gemma":[0.000033405722,0.00007891386,0.00003412119,0.0007208836,0.00017274964,0.000036582867,0.000114702176,0.000068641835,0.0000022154316],"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":[0.00001545807,0.000100847814,0.004720619,0.000029387476,0.00045376676,1.2418447e-7,0.0002943248,0.0013819674,0.6028448,0.3862244,0.00009500986,0.0038393603],"study_design_scores_gemma":[0.002305756,0.0007138901,0.08810981,0.00006288952,0.002231556,0.000010573107,0.0004060905,0.029037734,0.33761588,0.18420959,0.35416555,0.0011306739],"about_ca_topic_score_codex":0.0017505469,"about_ca_topic_score_gemma":0.008936491,"teacher_disagreement_score":0.35407054,"about_ca_system_score_codex":0.000007770336,"about_ca_system_score_gemma":0.000015638301,"threshold_uncertainty_score":0.4986772},"labels":[],"label_agreement":null},{"id":"W2059652772","doi":"10.4236/ti.2012.31006","title":"Knowledge Transfer Processes in Product Development—Theoretical Analysis in Small Technology Parks","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":8,"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":"Enabling; Knowledge transfer; Product (mathematics); Process (computing); Knowledge management; New product development; Regional innovation system; Social capital; Technology transfer; Business; Computer science; Process management; Marketing; Regional science; Sociology","score_opus":0.01743951275523629,"score_gpt":0.2336434801296004,"score_spread":0.21620396737436412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059652772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98444635,0.007650612,0.000026400161,0.0027045393,0.000060615035,0.0002650154,3.3854462e-7,0.00015470032,0.0046914094],"genre_scores_gemma":[0.9986569,0.00013613496,0.00030358305,0.00061508815,0.00005478317,0.00018919577,0.0000050715507,0.000009615197,0.000029576238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987443,0.000009346349,0.00033439454,0.00035833035,0.00005874291,0.00049489277],"domain_scores_gemma":[0.9996741,0.000022641116,0.000044462704,0.00018805823,0.000057365683,0.000013387584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033186883,0.0001964362,0.00033136475,0.0022565152,0.00009744615,0.000024989582,0.00020708065,0.00018730675,0.000055111843],"category_scores_gemma":[0.00016406858,0.00016340395,0.00002389527,0.004374109,0.00055281783,0.00028599135,0.00019547164,0.0002337116,0.000035847548],"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":[0.000007932978,0.00019301324,0.6082939,0.000081187274,0.000051123126,0.0000025290951,0.00021720356,0.0000022636393,0.00003898483,0.38635144,0.000015533033,0.004744892],"study_design_scores_gemma":[0.0023118309,0.000090439535,0.6576946,0.0003798731,0.0006019496,0.000012700255,0.0044662836,0.00019051162,0.012772672,0.19762981,0.12235708,0.0014922454],"about_ca_topic_score_codex":0.000022701322,"about_ca_topic_score_gemma":0.0008644941,"teacher_disagreement_score":0.18872161,"about_ca_system_score_codex":0.00003346318,"about_ca_system_score_gemma":0.000026327949,"threshold_uncertainty_score":0.66634196},"labels":[],"label_agreement":null},{"id":"W2061588748","doi":"10.4236/ti.2013.41006","title":"Flexible Manufacturing of Continuous Process Enterprises with Large Scale and Multiple Products","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Product Development and Customization","field":"Business, Management and Accounting","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":"Flexibility (engineering); Manufacturing engineering; Process (computing); Production (economics); Manufacturing; Business; Computer science; Scheduling (production processes); Product (mathematics); Industrial organization; Operations management; Engineering; Economics; Marketing; Mathematics; Microeconomics","score_opus":0.00527817203557254,"score_gpt":0.18063579434811317,"score_spread":0.17535762231254062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061588748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958124,0.00027256834,0.000081896,0.0013093326,0.000036375266,0.00046926198,5.6005985e-7,0.0001668879,0.0018507316],"genre_scores_gemma":[0.99839187,0.000013535863,0.0006864846,0.00052868243,0.00003990864,0.000052898664,0.000009487101,0.000010493506,0.00026663067],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936384,0.0000022230995,0.00014021489,0.00023863764,0.00007683407,0.00017822323],"domain_scores_gemma":[0.9996537,0.0000043290092,0.00011806356,0.00012684903,0.00008939065,0.000007662368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007945676,0.000117436844,0.00015566271,0.00027938065,0.000104968894,0.000041857405,0.000080962134,0.00006301394,0.00002603003],"category_scores_gemma":[0.00003001426,0.00008905913,0.000005820031,0.00023281449,0.00014413078,0.00051915913,0.00010815273,0.00006595896,0.000014335241],"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":[0.00009355903,0.00034044057,0.94528896,0.0010546313,0.00009524026,0.0000039459596,0.000545654,0.000009767306,0.0061687487,0.033315785,0.0018424859,0.011240807],"study_design_scores_gemma":[0.0048618284,0.00018732651,0.19398448,0.00044300072,0.00015594471,0.00003031101,0.0045317924,0.0011652376,0.68043315,0.07721981,0.036032625,0.00095449213],"about_ca_topic_score_codex":0.00002365854,"about_ca_topic_score_gemma":0.0000088394045,"teacher_disagreement_score":0.75130445,"about_ca_system_score_codex":0.0000060063917,"about_ca_system_score_gemma":0.0000100762145,"threshold_uncertainty_score":0.3631726},"labels":[],"label_agreement":null},{"id":"W2066552522","doi":"10.4236/ti.2010.14028","title":"Cost Benchmarking of Generation Utilities Using DEA: A Case Study of India","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":12,"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":"Benchmarking; Electricity; Computer science; Environmental economics; Cost efficiency; Total cost; Electricity generation; Measure (data warehouse); Efficient frontier; Reliability engineering; Operations research; Business; Economics; Power (physics); Engineering; Microeconomics; Data mining; Finance","score_opus":0.15952507235341806,"score_gpt":0.3993531144122787,"score_spread":0.23982804205886066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066552522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987935,0.00013301757,0.00041139664,0.000045300447,0.00012990316,0.00022101995,0.000002628863,0.000017726185,0.0002455096],"genre_scores_gemma":[0.99609756,0.0000014894698,0.0038090462,0.000047285615,0.000015210551,0.000007922298,5.566547e-7,0.0000031674697,0.000017758666],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986437,0.00007929075,0.00054038514,0.00027854406,0.00033761899,0.00012048761],"domain_scores_gemma":[0.998846,0.00015124932,0.0003236967,0.00047141977,0.00017986851,0.000027772048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013083613,0.000087590044,0.00026076994,0.0009782384,0.00016480836,0.000020475549,0.00020999863,0.00013486475,0.000039723975],"category_scores_gemma":[0.00052326336,0.000067780275,0.000029021243,0.0010774465,0.0005307439,0.000097633194,0.00014637683,0.00016255629,0.0000010886951],"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":[0.000022344895,0.0018335102,0.56024545,0.000020162606,0.00024496944,0.00036375457,0.013987567,0.00095525646,0.1891902,0.14394164,0.0001638636,0.0890313],"study_design_scores_gemma":[0.004021744,0.004307627,0.033954162,0.00009680033,0.0008201469,0.0035581652,0.18963419,0.3757352,0.26418886,0.120236136,0.0023259535,0.0011210364],"about_ca_topic_score_codex":0.00019370491,"about_ca_topic_score_gemma":0.00062380446,"teacher_disagreement_score":0.52629125,"about_ca_system_score_codex":0.000011984741,"about_ca_system_score_gemma":0.000049534894,"threshold_uncertainty_score":0.27639994},"labels":[],"label_agreement":null},{"id":"W2068397530","doi":"10.4236/ti.2013.41b007","title":"Retail Pricing under Contract Self-Selection: An Empirical Exploration","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Selection (genetic algorithm); Business; Empirical research; Industrial organization; Computer science; Artificial intelligence","score_opus":0.037636654555617106,"score_gpt":0.26155069566240996,"score_spread":0.22391404110679286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068397530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98647726,0.00012965445,0.0005262983,0.0052940235,0.000111666246,0.00033506396,1.1484624e-7,0.0006511687,0.006474765],"genre_scores_gemma":[0.99427605,0.000012992772,0.00068799715,0.004637548,0.00012605944,0.00009983717,0.000007758827,0.000013661393,0.000138116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992221,0.000011861271,0.00019176479,0.00026175968,0.00009361585,0.00021890254],"domain_scores_gemma":[0.9996256,0.000016696902,0.00009131493,0.0001634349,0.00008642893,0.000016481381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016583382,0.0001397727,0.00014460683,0.00039095752,0.00025331756,0.00015353537,0.00009714506,0.00015964794,0.00048715196],"category_scores_gemma":[0.000022216376,0.00012426528,0.000020800093,0.0005000027,0.000079610574,0.0015042146,0.00008299521,0.0001899183,0.00013461309],"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":[0.000025212821,0.00037482023,0.6026742,0.000069187205,0.000074141935,0.0000057792236,0.00023168986,0.00001015858,0.0060584345,0.29298636,0.002911545,0.09457846],"study_design_scores_gemma":[0.0018020804,0.00020318902,0.61943525,0.000067672205,0.00033943786,0.00003868239,0.0017184187,0.019510044,0.0018192903,0.24447416,0.109619625,0.00097214966],"about_ca_topic_score_codex":0.00018129851,"about_ca_topic_score_gemma":0.00006431058,"teacher_disagreement_score":0.10670808,"about_ca_system_score_codex":0.000028192271,"about_ca_system_score_gemma":0.000014787827,"threshold_uncertainty_score":0.5333972},"labels":[],"label_agreement":null},{"id":"W2069178243","doi":"10.4236/ti.2013.42010","title":"Study on the Relationship between Aspects, Orientation,Type, and Unit Position toward to Indoor Air Quality in Flat","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Architectural and Urban Studies","field":"Arts and Humanities","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":"Variable (mathematics); Position (finance); Orientation (vector space); Covariance; Thermal comfort; Analysis of covariance; Variables; Thermal; Environmental science; Computer science; Architectural engineering; Mathematics; Statistics; Engineering; Business; Meteorology; Geometry; Physics","score_opus":0.1251401585733106,"score_gpt":0.30589509742195914,"score_spread":0.18075493884864854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069178243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97477347,0.000100765836,0.0000015072504,0.020046307,0.00003694877,0.0005893124,0.0000032826285,0.000058914076,0.0043894853],"genre_scores_gemma":[0.9980866,0.0000023853188,0.000019972736,0.0012440408,0.000036237638,0.00010991516,0.000004362275,0.0000038680546,0.00049262313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994655,0.0000621533,0.00015058859,0.00014974538,0.000065562555,0.000106407686],"domain_scores_gemma":[0.99962926,0.00016718588,0.000035414818,0.00010452312,0.00004004678,0.000023587092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012005546,0.000088251574,0.000113415364,0.0001731985,0.00033889528,0.000022808956,0.000055177756,0.00003669902,0.000034316763],"category_scores_gemma":[0.000084175495,0.000053791016,0.000006813642,0.00013348859,0.00023690797,0.00006332118,0.00007840105,0.00015160271,0.00004523588],"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":[0.0000053550407,0.000019049405,0.38407445,0.000002846382,0.000012790558,4.6836388e-7,0.014367841,1.17861234e-7,0.0000057063003,0.60095763,0.00030819845,0.00024556954],"study_design_scores_gemma":[0.00017305302,0.00040099295,0.7769586,0.000011878825,0.000009123731,5.0069957e-7,0.0179312,3.1417255e-7,0.000056771278,0.20315094,0.0012423125,0.00006430093],"about_ca_topic_score_codex":0.00020681182,"about_ca_topic_score_gemma":0.0003917113,"teacher_disagreement_score":0.39780667,"about_ca_system_score_codex":0.000017958962,"about_ca_system_score_gemma":0.0000064263068,"threshold_uncertainty_score":0.26065427},"labels":[],"label_agreement":null},{"id":"W2071294636","doi":"10.4236/ti.2012.32010","title":"Research on Stratified Cluster Evaluation of Enterprise Green Technology Innovation Based on the Rough Set","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","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":"Bottleneck; Rough set; Ambiguity; Computer science; Cluster analysis; Index (typography); Set (abstract data type); Empirical research; Objectivity (philosophy); Data mining; Knowledge management; Industrial engineering; Operations research; Artificial intelligence; Mathematics; Engineering","score_opus":0.07338900404856924,"score_gpt":0.32552070476577893,"score_spread":0.2521317007172097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071294636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9685208,0.000054674703,0.00003958979,0.025780367,0.00007476643,0.00093937764,0.0000016737015,0.00007848813,0.004510242],"genre_scores_gemma":[0.9960722,0.0000014428509,0.00006742244,0.0034295458,0.00007221322,0.00027541528,0.000019284997,0.000012413877,0.00005009332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986297,0.00006639099,0.00026694275,0.00023191067,0.0005005004,0.00030459467],"domain_scores_gemma":[0.9989885,0.00008336809,0.00015934563,0.0005030936,0.00025983932,0.0000058703686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027999452,0.00013805571,0.0001324759,0.0014576786,0.00021097496,0.000023686187,0.00024013063,0.00023900003,0.00011582008],"category_scores_gemma":[0.0003833439,0.00010018732,0.00001620826,0.0021601783,0.00068078976,0.0002859744,0.00022814219,0.0003359663,0.00005559399],"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":[0.0000722585,0.00038130154,0.061148956,0.0000739611,0.000016980366,4.7436134e-7,0.000046566332,0.0002195474,0.00076872436,0.93062645,0.00091709674,0.0057277107],"study_design_scores_gemma":[0.0029227685,0.0004467861,0.13982484,0.00025373246,0.00015614767,0.000003427419,0.004367208,0.025421802,0.018938966,0.7837273,0.023403458,0.00053355534],"about_ca_topic_score_codex":0.000048895432,"about_ca_topic_score_gemma":0.00000880179,"teacher_disagreement_score":0.1468991,"about_ca_system_score_codex":0.00016686533,"about_ca_system_score_gemma":0.00002333987,"threshold_uncertainty_score":0.40855202},"labels":[],"label_agreement":null},{"id":"W2075788270","doi":"10.4236/ti.2013.42014","title":"Strategic Firm Interaction, Returns to Scale, Environmental Regulation and Ambient Charges in a Cournot Duopoly","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Climate Change Policy and Economics","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":"CRTS; Cournot competition; Pollution; Competition (biology); Duopoly; Economics; Microeconomics; Environmental science; Ecology; Computer science","score_opus":0.04017833196546809,"score_gpt":0.22361902960369717,"score_spread":0.18344069763822907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075788270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902058,0.00083820673,0.000007984361,0.006381,0.00008752869,0.00028814553,0.00003737818,0.00002879642,0.002125165],"genre_scores_gemma":[0.99757624,0.0005047921,0.00021994754,0.0013089033,0.000022242028,0.000109786495,0.000013933582,0.000009165478,0.00023497063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99919313,0.0000043965956,0.0003083856,0.0002832125,0.000010850151,0.00020000075],"domain_scores_gemma":[0.9996648,0.0000098346245,0.00010594948,0.00015008045,0.0000028919076,0.00006647425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010603437,0.00010950727,0.00019528515,0.00045484092,0.00006361779,0.00003540057,0.000061901184,0.00013595162,0.0003262452],"category_scores_gemma":[0.000008239934,0.00012576852,0.0000151696995,0.000108846216,0.00010892679,0.00017408008,0.00007876163,0.000115118535,0.00026447626],"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":[0.00002169392,0.0002336366,0.24297933,0.00003111253,0.000031507607,0.000001808193,0.0020491139,0.000015237914,0.0023362073,0.75055784,0.00081054086,0.00093200116],"study_design_scores_gemma":[0.0009522319,0.00032151846,0.27159432,0.00004000003,0.000005149964,0.000033246586,0.0029695167,0.0031880676,0.002332577,0.71003634,0.008140418,0.0003866494],"about_ca_topic_score_codex":0.00018157125,"about_ca_topic_score_gemma":0.00016658085,"teacher_disagreement_score":0.0405215,"about_ca_system_score_codex":0.000113423754,"about_ca_system_score_gemma":0.00000255076,"threshold_uncertainty_score":0.5128692},"labels":[],"label_agreement":null},{"id":"W2076258362","doi":"10.4236/ti.2013.43b001","title":"Assessing Some Determinants of the Regional Patenting: An Essay from the Mexican States","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":15,"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":"Economies of agglomeration; Panel data; Work (physics); Estimator; Economics; Process (computing); Set (abstract data type); Population; Economic geography; Regional science; Demographic economics; Economic growth; Econometrics; Geography; Sociology; Computer science; Engineering; Mathematics; Demography; Statistics","score_opus":0.04621047902453687,"score_gpt":0.23240731372055604,"score_spread":0.18619683469601916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076258362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922919,0.0016103446,0.000014293128,0.0052014147,0.00014406342,0.00017571487,0.000025605174,0.000023544697,0.00051310234],"genre_scores_gemma":[0.99824387,0.00006407716,0.0002676442,0.0012627261,0.00003786425,0.000032740285,0.0000047598846,0.0000070418555,0.00007928769],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992492,0.000021855498,0.0002911288,0.00025805706,0.000015489504,0.00016425566],"domain_scores_gemma":[0.99923384,0.000043072236,0.00028018013,0.00040024758,0.000013055823,0.000029588326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026830126,0.00009067932,0.00019652813,0.00006893656,0.0001688633,0.000042315467,0.00026926864,0.00009712562,0.000060009137],"category_scores_gemma":[0.000047509286,0.00006122198,0.00003248515,0.00010205787,0.0004195628,0.000373678,0.00011708943,0.00013829798,0.00002438866],"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":[0.0000014745979,0.000041574098,0.6656174,0.000004678503,0.000020458854,1.7757984e-7,0.00022130068,0.0000013357705,0.00015577626,0.33076653,0.00023492837,0.0029343762],"study_design_scores_gemma":[0.0001167166,0.0000259779,0.340526,0.000008028776,0.0000035520125,0.0000017096852,0.00022841386,0.0005270746,0.0016083687,0.65488875,0.0019991663,0.00006623735],"about_ca_topic_score_codex":0.00065775827,"about_ca_topic_score_gemma":0.000039767045,"teacher_disagreement_score":0.3250914,"about_ca_system_score_codex":0.0000225944,"about_ca_system_score_gemma":0.000018433577,"threshold_uncertainty_score":0.24965599},"labels":[],"label_agreement":null},{"id":"W2078499105","doi":"10.4236/ti.2015.61004","title":"A Study on the Work Well-Being of Personnel in Telecommunication Marketing as Well as Its Influencing Factors in China —Based on the Researches in the Guangzhou Branch of China Telecom","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","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; Work (physics); Compensation (psychology); Marketing; Business; Telecommunications; Psychology; Computer science; Engineering; Social psychology; Political science","score_opus":0.030848665795879478,"score_gpt":0.268061146415858,"score_spread":0.23721248061997852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078499105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865985,0.00007215874,8.2274215e-7,0.0066742245,0.000019823055,0.0007465861,2.3710822e-7,0.000022503229,0.0058651613],"genre_scores_gemma":[0.99880636,0.0000084052435,0.000010187998,0.0010738102,0.000010086765,0.000056696077,0.000002869749,0.000010867419,0.000020741887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989067,0.00020960954,0.00029508845,0.0001663058,0.00025578588,0.00016653734],"domain_scores_gemma":[0.9991263,0.00032872197,0.0001572321,0.0003351869,0.00004617913,0.0000063717544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021743537,0.00012572779,0.00015740724,0.000632602,0.00014275298,0.000034476936,0.00040150684,0.00008754431,0.000064535656],"category_scores_gemma":[0.0010607959,0.00007144513,0.000019265457,0.0016173389,0.00012815835,0.0001330381,0.00013617305,0.0004719083,0.000021471957],"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":[0.00007965924,0.000311482,0.95594263,0.00001570608,0.0000064495016,0.0000022150778,0.004401713,0.00014573478,0.00022064852,0.038559176,0.000063767024,0.00025084254],"study_design_scores_gemma":[0.0005651631,0.00007981422,0.96635836,0.00014907341,0.000008212573,4.5081018e-7,0.025879428,0.00018735912,0.0010003552,0.005549299,0.0001481811,0.00007432563],"about_ca_topic_score_codex":0.0007866871,"about_ca_topic_score_gemma":0.00036314753,"teacher_disagreement_score":0.033009876,"about_ca_system_score_codex":0.00006618712,"about_ca_system_score_gemma":0.0000363657,"threshold_uncertainty_score":0.29134476},"labels":[],"label_agreement":null},{"id":"W2079342235","doi":"10.4236/ti.2011.24024","title":"An Efficient and Concise Algorithm for Convex Quadratic Programming and Its Application to Markowitz’s Portfolio Selection Model","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","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":"Selection (genetic algorithm); Portfolio; Mathematical optimization; Computer science; Quadratic programming; Regular polygon; Convex optimization; Quadratic model; Algorithm; Mathematics; Artificial intelligence; Economics; Machine learning; Finance","score_opus":0.04855942498656025,"score_gpt":0.3317873045300353,"score_spread":0.28322787954347506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079342235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54904896,0.00033924,0.44902965,0.0001823866,0.000031852192,0.0010789909,0.000005826639,0.00009703746,0.00018604803],"genre_scores_gemma":[0.89178765,0.000083999206,0.107227,0.00034575874,0.000011250458,0.0003923387,0.0000064028595,0.000009381899,0.00013620805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881107,0.000026134612,0.000322199,0.00047847917,0.00016811388,0.00019399838],"domain_scores_gemma":[0.99931425,0.000028978646,0.00013878751,0.0001992628,0.00017968653,0.00013903395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006674632,0.0001298675,0.00019560134,0.0004705107,0.00021456224,0.000049251565,0.00011900561,0.00016828462,0.0000060115267],"category_scores_gemma":[0.00007702476,0.00010579176,0.000014080128,0.0004856361,0.00012998693,0.0001487011,0.000054342254,0.00006887569,0.000003992584],"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":[0.00006456071,0.0001979077,0.0045220237,0.000009427881,0.000021255573,0.0000013003449,0.0016463638,0.001066859,0.0013661622,0.22963157,0.00025170998,0.7612209],"study_design_scores_gemma":[0.0003795624,0.0004960255,0.0011724476,0.000005806265,0.000026835185,0.000022558197,0.000452717,0.9404338,0.0030807909,0.052280646,0.0015011397,0.00014766562],"about_ca_topic_score_codex":0.000010264532,"about_ca_topic_score_gemma":0.000007883334,"teacher_disagreement_score":0.93936694,"about_ca_system_score_codex":0.000018057763,"about_ca_system_score_gemma":0.000033775606,"threshold_uncertainty_score":0.4314063},"labels":[],"label_agreement":null},{"id":"W2079674913","doi":"10.4236/ti.2013.44027","title":"A Study on Chinese Regional Scientific Innovation Efficiency with a Perspective of Synergy Degree","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Regional Economic and Spatial 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":"Perspective (graphical); Degree (music); Process (computing); Computer science; Industrial organization; Economics; Artificial intelligence; Physics","score_opus":0.03777640122650919,"score_gpt":0.22991770846457782,"score_spread":0.19214130723806863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079674913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989087,0.00027922756,0.00031936602,0.002057205,0.000029911494,0.00026241818,0.0000040798745,0.000023832492,0.0079369545],"genre_scores_gemma":[0.9990345,0.0000064031656,0.00017390362,0.00020500705,0.000008667274,0.00007924868,0.000003499284,0.000005622193,0.00048311567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99918294,0.0000060594116,0.00031091555,0.00035046888,0.000031724896,0.000117881136],"domain_scores_gemma":[0.9993951,0.000015182281,0.00024188778,0.00023631478,0.0000898371,0.00002168385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016143164,0.000103644335,0.00025689157,0.0010933384,0.00011179274,0.000021574804,0.00012275978,0.00006474226,0.000056166216],"category_scores_gemma":[0.000041269708,0.0000817941,0.000024857454,0.001110695,0.00041232372,0.00009663987,0.00003897491,0.0000829266,0.00006667323],"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":[0.000010002024,0.00029476837,0.0738165,0.0000021069127,0.000074657575,9.406964e-7,0.00039316298,0.00003339443,0.000029685443,0.9251309,0.00008451451,0.0001293378],"study_design_scores_gemma":[0.00083104294,0.0012372198,0.23529537,0.000012923864,0.000010799951,0.000006767699,0.0027123375,0.0013084689,0.000084351406,0.75790894,0.00040124642,0.00019055961],"about_ca_topic_score_codex":0.00032725462,"about_ca_topic_score_gemma":0.000038599126,"teacher_disagreement_score":0.16722201,"about_ca_system_score_codex":0.00006222685,"about_ca_system_score_gemma":0.00002007079,"threshold_uncertainty_score":0.33354667},"labels":[],"label_agreement":null},{"id":"W2080692205","doi":"10.4236/ti.2012.32014","title":"Value Investing in Thailand: Evidence from the Use of PEG","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","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":"PEG ratio; Stock exchange; Investment (military); Popularity; Econometrics; Economics; Index (typography); Value (mathematics); Financial economics; Business; Statistics; Finance; Mathematics; Computer science","score_opus":0.10774427952760864,"score_gpt":0.23804009171117638,"score_spread":0.13029581218356773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080692205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97791785,0.017109074,0.000056517394,0.00207676,0.00015356817,0.00018541336,0.000022130625,0.00003169127,0.0024469844],"genre_scores_gemma":[0.99504507,0.00077853753,0.0024975056,0.0015111926,0.000036882153,0.000034861165,0.0000030208364,0.000008216756,0.00008469739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990835,0.00002338989,0.00040695025,0.00020261295,0.000026403719,0.00025713927],"domain_scores_gemma":[0.9992573,0.00019296021,0.00021376456,0.00029018216,0.000008902615,0.00003688955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040382595,0.000118344826,0.00025760286,0.00020067391,0.000070419635,0.000021487354,0.0001683815,0.00014128804,0.000039281837],"category_scores_gemma":[0.0004788162,0.00009504109,0.00002842812,0.00032973377,0.00036086916,0.00047355684,0.00012230538,0.00017306647,0.000022453138],"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":[0.0000043466976,0.000025968966,0.439635,0.0000054681905,0.000008064038,4.0612187e-7,0.00029611506,0.000004113439,0.00005630834,0.55937165,0.00039228486,0.00020027763],"study_design_scores_gemma":[0.00023814442,0.0000869248,0.5985763,0.00012888387,0.0000071438085,0.0000024921114,0.00017648817,0.00033398354,0.0005782271,0.3711997,0.028512733,0.00015895681],"about_ca_topic_score_codex":0.001353611,"about_ca_topic_score_gemma":0.000050632774,"teacher_disagreement_score":0.18817194,"about_ca_system_score_codex":0.00003328286,"about_ca_system_score_gemma":0.0000144145215,"threshold_uncertainty_score":0.38756633},"labels":[],"label_agreement":null},{"id":"W2080731462","doi":"10.4236/ti.2014.51006","title":"Collaborative Meeting as an Integrative Mechanism in a Multinational Investment Project","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Construction Project Management and Performance","field":"Decision Sciences","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":"Multinational corporation; Context (archaeology); Mechanism (biology); Knowledge management; Project management; Investment (military); Process management; Work (physics); Business; Computer science; Political science; Engineering; Systems engineering","score_opus":0.027911398434910993,"score_gpt":0.34456202733580743,"score_spread":0.31665062890089646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080731462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94315207,0.00007979571,0.0005152806,0.0019250768,0.00016242162,0.00064520136,0.0000040683863,0.00011317121,0.053402934],"genre_scores_gemma":[0.9867943,0.000028065628,0.009514574,0.0023388532,0.000023911383,0.0002231491,0.000006447391,0.0000068637664,0.0010638281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981567,0.00022855551,0.00045033143,0.0005246065,0.00041728147,0.0002224947],"domain_scores_gemma":[0.9990867,0.00017431554,0.00021279749,0.00030937852,0.00016782133,0.00004900076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017388904,0.00017623966,0.00024510457,0.0016330795,0.00020288092,0.00009266805,0.00033334945,0.00014085106,0.00007905365],"category_scores_gemma":[0.0009620996,0.00012870439,0.000022212773,0.0019524556,0.00035337254,0.00043369184,0.00021544348,0.00021182955,0.000050949013],"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":[0.000021515398,0.000058320173,0.004605643,0.0000023893322,0.000010781944,0.000001964595,0.0017968508,0.0000050288063,0.00028087248,0.97270197,0.00027319434,0.020241454],"study_design_scores_gemma":[0.00078303635,0.00053661613,0.0014123238,0.000037584028,0.0000067848596,0.000011807123,0.010412201,0.0119198775,0.005087492,0.93129885,0.038301785,0.00019162182],"about_ca_topic_score_codex":0.000055200882,"about_ca_topic_score_gemma":0.0002955732,"teacher_disagreement_score":0.052339107,"about_ca_system_score_codex":0.00006797566,"about_ca_system_score_gemma":0.00010942059,"threshold_uncertainty_score":0.52484125},"labels":[],"label_agreement":null},{"id":"W2082089605","doi":"10.4236/ti.2012.33019","title":"Case Study on M Company Best Practice with Global IT Management","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","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":"National Natural Science Foundation of China; National Science Foundation","keywords":"Structuring; Best practice; IT service management; Process management; Excellence; Knowledge management; Business; Hierarchy; Process (computing); Service (business); Quality (philosophy); Operational excellence; Engineering management; Computer science; Information Technology Infrastructure Library; Information technology; Management; Marketing; Engineering","score_opus":0.022467276120931925,"score_gpt":0.2627307002244516,"score_spread":0.2402634241035197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082089605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80869883,0.000091759466,0.000073079354,0.0026657067,0.00009844791,0.0005081923,0.0000013167755,0.0002727261,0.18758994],"genre_scores_gemma":[0.99052817,0.00000919394,0.00062449765,0.008506039,0.00006857085,0.00010674168,0.0000029612847,0.000007833911,0.00014598934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911416,0.000005848971,0.00020342943,0.00018638423,0.00016136243,0.00032883396],"domain_scores_gemma":[0.9994224,0.000009423882,0.00019568106,0.00030476422,0.000053390777,0.000014340583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020012281,0.00018450923,0.0001577291,0.0002727006,0.0002662074,0.00005993476,0.00014368721,0.00012348694,0.000023257626],"category_scores_gemma":[0.000018262434,0.00014403275,0.000014389253,0.00060761865,0.00017718202,0.0011101469,0.00016348033,0.00018298202,0.00037990062],"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":[0.000047730366,0.0009243156,0.026200114,0.00002913322,0.000112951355,0.00079020555,0.00011278446,0.0000029702499,8.824405e-7,0.9640237,0.0020660202,0.0056891833],"study_design_scores_gemma":[0.006564399,0.0018832476,0.014329055,0.00015495233,0.000936305,0.007082711,0.288611,0.00039386618,0.00011319097,0.025917929,0.6527426,0.0012707356],"about_ca_topic_score_codex":0.00011443389,"about_ca_topic_score_gemma":0.00003839557,"teacher_disagreement_score":0.93810576,"about_ca_system_score_codex":0.00005176811,"about_ca_system_score_gemma":0.0000064723,"threshold_uncertainty_score":0.5873485},"labels":[],"label_agreement":null},{"id":"W2083442948","doi":"10.4236/ti.2011.21004","title":"Benefits of DfX in Requirements Engineering","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":28,"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":"ITEA","keywords":"Process management; Information and Communications Technology; Work (physics); Business; Competitive advantage; Computer science; Supply chain; Knowledge management; Engineering management; Systems engineering; Engineering; Marketing","score_opus":0.036538972060141915,"score_gpt":0.2361886765217049,"score_spread":0.19964970446156297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083442948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91821074,0.0017157128,0.07733101,0.00026680392,0.00012770346,0.00015608438,6.0174983e-7,0.0006711471,0.0015201931],"genre_scores_gemma":[0.8062096,0.00006235308,0.19363353,0.00006463314,0.0000022184279,0.000017785927,1.3559719e-7,0.0000030037997,0.0000067117153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995843,0.0000044205754,0.00012383582,0.00012991182,0.000046005116,0.00011152382],"domain_scores_gemma":[0.99968344,0.00001656436,0.000039373655,0.00023146646,0.00001072588,0.000018451006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012445035,0.0000625323,0.00008769868,0.00032350235,0.000010261702,0.0000037456189,0.000257895,0.00007759831,0.0000035425758],"category_scores_gemma":[0.00003726249,0.00006027738,0.0000082973365,0.00032891345,0.000027814987,0.00017619196,0.00016075454,0.00008572392,0.0000013887415],"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":[0.0000012757354,0.000031611286,0.0058614826,0.0000112809075,0.000006336035,0.0000028790798,0.00018955744,0.000018902338,0.00028774087,0.98616433,0.000020086625,0.00740454],"study_design_scores_gemma":[0.0011305768,0.0013929018,0.20409791,0.0004357332,0.000021348897,0.00010220385,0.000060710197,0.012033636,0.38718686,0.382442,0.010315031,0.00078110705],"about_ca_topic_score_codex":0.000014769191,"about_ca_topic_score_gemma":0.000001035113,"teacher_disagreement_score":0.60372233,"about_ca_system_score_codex":0.000010892391,"about_ca_system_score_gemma":0.000006175664,"threshold_uncertainty_score":0.24580401},"labels":[],"label_agreement":null},{"id":"W2084107955","doi":"10.4236/ti.2010.13022","title":"Coordination of a Supply Chain with Advertising Investment and Allowing the Second Ordering","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","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":"National Natural Science Foundation of China","keywords":"Production (economics); Supply chain; Investment (military); Microeconomics; Outcome (game theory); Unit (ring theory); Coordination game; Economics; Order (exchange); Pareto principle; Mechanism (biology); Channel coordination; Business; Industrial organization; Operations management; Supply chain management; Marketing; Mathematics; Finance","score_opus":0.006535569364092294,"score_gpt":0.19108211554041182,"score_spread":0.18454654617631952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084107955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98300374,0.00027447235,0.000067300636,0.0050585833,0.00013814101,0.00043569604,7.8767573e-7,0.0001085183,0.010912763],"genre_scores_gemma":[0.99333084,0.000008467535,0.00058330287,0.00548169,0.000074042946,0.000069789836,0.000005246475,0.000016472588,0.00043017065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917,0.0000073095084,0.00020963761,0.00025883137,0.00013497905,0.00021925793],"domain_scores_gemma":[0.9995194,0.000020466783,0.00014450622,0.00025419446,0.00004737346,0.000014062382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032277542,0.00016920165,0.00017462639,0.00040894587,0.00023413842,0.00006860128,0.00016063261,0.000095106414,0.00009920078],"category_scores_gemma":[0.000035418765,0.00011735502,0.000020045807,0.00039180592,0.0004523663,0.00037131849,0.00025959688,0.00021509544,0.0000044815943],"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":[0.000019240566,0.000060526378,0.031668935,0.000168009,0.000072197814,0.0000064089068,0.00016652017,0.0000044909493,0.009994396,0.95162463,0.0009460935,0.005268526],"study_design_scores_gemma":[0.0041776067,0.00033966833,0.05271191,0.00035153926,0.00027170818,0.000056627076,0.005373921,0.012850552,0.015902571,0.1853801,0.72162765,0.0009561401],"about_ca_topic_score_codex":0.000073293144,"about_ca_topic_score_gemma":0.00034286428,"teacher_disagreement_score":0.76624453,"about_ca_system_score_codex":0.000013948186,"about_ca_system_score_gemma":0.000010941609,"threshold_uncertainty_score":0.47855988},"labels":[],"label_agreement":null},{"id":"W2084206520","doi":"10.4236/ti.2012.34035","title":"The Structural Difference of Shanghai Stock Index before and after 2008: A Copula Based Analysis","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Risk and Volatility Modeling","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":"Copula (linguistics); Stock market; Econometrics; Capitalization-weighted index; Stock (firearms); Marginal distribution; Economics; Stock market index; Tail dependence; Joint probability distribution; Financial economics; Multivariate statistics; Statistics; Mathematics; Geography; Random variable","score_opus":0.015723171038684047,"score_gpt":0.22189538840172862,"score_spread":0.20617221736304459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084206520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989864,0.007880922,0.0015359815,0.00038251016,0.000058373957,0.000116819254,0.000036628284,0.000018039851,0.000106718544],"genre_scores_gemma":[0.99915165,0.00006525836,0.0005059556,0.00015839023,0.000011400019,0.00003156942,0.0000035583532,0.0000045052207,0.00006769334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993309,0.000007047127,0.00026957673,0.00016606369,0.00002143674,0.00020497499],"domain_scores_gemma":[0.9995775,0.000019130826,0.00013066083,0.00021963898,0.000012554061,0.000040516214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018770588,0.000094629155,0.00024777444,0.00028932642,0.00013067326,0.000011295331,0.00008776484,0.0001370253,0.000017671908],"category_scores_gemma":[0.00003973167,0.00007383248,0.00004176367,0.00034721004,0.00028831622,0.00006132834,0.00006867701,0.000114244496,0.0000015382168],"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":[0.000012620902,0.000011110502,0.8334952,0.0000070377932,0.00004658387,1.2015316e-7,0.00014265289,0.000004271158,0.0000028917723,0.16456726,0.000005415388,0.0017048556],"study_design_scores_gemma":[0.0001739109,0.000059217153,0.85101867,0.0000051287307,0.00003071912,6.285663e-7,0.000037998583,0.039728604,0.000043641365,0.108268864,0.00055486494,0.00007773644],"about_ca_topic_score_codex":0.0000893759,"about_ca_topic_score_gemma":0.00024691154,"teacher_disagreement_score":0.05629839,"about_ca_system_score_codex":0.000020370204,"about_ca_system_score_gemma":0.0000065480654,"threshold_uncertainty_score":0.3010801},"labels":[],"label_agreement":null},{"id":"W2086653435","doi":"10.4236/ti.2011.24025","title":"Valuation of a Tranched Loan Credit Default Swap Index","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Credit Risk and Financial Regulations","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":"Prepayment of loan; Valuation (finance); Loan; Swap (finance); Credit default swap; Actuarial science; Interest rate swap; Synthetic CDO; Computer science; iTraxx; Econometrics; Credit risk; Credit valuation adjustment; Economics; Finance; Credit reference","score_opus":0.06105607052837023,"score_gpt":0.22369417324314722,"score_spread":0.162638102714777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086653435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97138155,0.00160107,0.007354971,0.000303096,0.00015147132,0.00017923415,0.000025577303,0.00005863905,0.018944407],"genre_scores_gemma":[0.99797535,0.00007980074,0.0016405267,0.000047755446,0.000024050838,0.000036530946,0.000006125213,0.00000705475,0.00018282195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993141,0.0000040211826,0.00033786593,0.00019208381,0.000021258267,0.0001306654],"domain_scores_gemma":[0.999554,0.00000791209,0.00017822173,0.00020464936,0.000024412275,0.000030798426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017316718,0.00008121591,0.00020946837,0.0004120164,0.000058671132,0.0000036060794,0.00009577649,0.00018853726,0.00010909939],"category_scores_gemma":[0.000060140148,0.00008988985,0.000036087356,0.00030571304,0.00021910048,0.000079082274,0.00003160931,0.00009050314,0.000036334008],"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":[0.000009027223,0.00006879678,0.103271075,0.000006613816,0.000016651544,5.5021076e-7,0.0005007743,0.0000018010574,0.00006621381,0.8933736,0.000111040084,0.0025738443],"study_design_scores_gemma":[0.00033922392,0.00012555352,0.3314518,0.000006447487,0.000006490768,0.0000023054356,0.00007877267,0.00048292958,0.0010618824,0.66116714,0.0051949797,0.00008247998],"about_ca_topic_score_codex":0.0001185165,"about_ca_topic_score_gemma":0.000024138932,"teacher_disagreement_score":0.23220646,"about_ca_system_score_codex":0.000023623152,"about_ca_system_score_gemma":0.000014586557,"threshold_uncertainty_score":0.36656016},"labels":[],"label_agreement":null},{"id":"W2090041723","doi":"10.4236/ti.2014.53014","title":"Network Based Technology Roadmapping for Future Markets: Case of 3D Printing","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","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":"Quality function deployment; Computer science; New product development; Technology roadmap; 3D printing; Product (mathematics); Process management; Product design; Process (computing); Software deployment; Manufacturing engineering; Marketing; Business; Engineering","score_opus":0.03640393152263169,"score_gpt":0.2072843388263358,"score_spread":0.1708804073037041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090041723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96691257,0.0008021293,0.0099037755,0.00691619,0.000540178,0.000893071,0.0000020292389,0.00052331574,0.013506731],"genre_scores_gemma":[0.98814183,0.0000049866035,0.006960229,0.0042408505,0.00043155032,0.00009323098,0.000007758536,0.000019224919,0.000100340454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990509,0.000009890433,0.0002764319,0.00027938516,0.000054119075,0.0003292361],"domain_scores_gemma":[0.9993834,0.000043601205,0.00019641951,0.0002525879,0.00011552894,0.000008443292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004404558,0.0001685481,0.00025194744,0.00056753936,0.0002919443,0.000024699986,0.00017397066,0.0003191488,0.000048980895],"category_scores_gemma":[0.00022671498,0.0001400466,0.00003575581,0.00067365123,0.0002273635,0.00013443752,0.0001763603,0.00018811136,0.00001522206],"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":[0.00012066661,0.00009818188,0.007528826,0.0005069857,0.00006760872,0.000027035558,0.000033601325,0.00008052611,0.00060648745,0.9128804,0.0032689741,0.07478067],"study_design_scores_gemma":[0.002268143,0.00027009682,0.00043916964,0.0003814528,0.00016664242,0.00015431253,0.0008748702,0.094590634,0.0033748446,0.30752665,0.5893209,0.00063228124],"about_ca_topic_score_codex":0.000017926677,"about_ca_topic_score_gemma":0.000014289838,"teacher_disagreement_score":0.6053538,"about_ca_system_score_codex":0.000012336356,"about_ca_system_score_gemma":0.000011139478,"threshold_uncertainty_score":0.57109344},"labels":[],"label_agreement":null},{"id":"W2090441642","doi":"10.4236/ti.2013.42013","title":"Research on User Experience Quality Assessment Model of Smart Mobile Phone","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Digital Marketing and Social Media","field":"Social Sciences","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":"National Natural Science Foundation of China; National Science Foundation","keywords":"Usability; Mobile phone; Computer science; Smart phone; User experience design; Quality (philosophy); Entertainment; Human–computer interaction; Analytic hierarchy process; Multimedia; Engineering; Telecommunications; Operations research","score_opus":0.11547472178490821,"score_gpt":0.43503996838574216,"score_spread":0.31956524660083396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090441642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8708245,0.00006443071,0.00001341121,0.0014204939,0.00006419162,0.00032139674,0.0000019810388,0.00007483029,0.12721476],"genre_scores_gemma":[0.9962297,0.000077630066,0.00065831386,0.00027931167,0.00001691448,0.00040201412,6.371032e-7,0.0000045761267,0.002330914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987252,0.00021048987,0.00018161783,0.0002034865,0.0003836484,0.00029557873],"domain_scores_gemma":[0.9993154,0.00020696598,0.000055183304,0.0001997118,0.0001346724,0.00008806212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012938505,0.00006827314,0.0001505828,0.00018100359,0.00032024476,0.000029554883,0.0002069054,0.00018083458,0.00007622018],"category_scores_gemma":[0.00030887945,0.00006067952,0.000021318352,0.00040828655,0.001786242,0.00012437259,0.00010395903,0.00022243822,0.000026906639],"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":[0.0000070742203,0.0001796732,0.0046126656,0.0000085486145,0.000007746712,3.5963956e-7,0.0054699844,0.0000050348644,0.0008823203,0.98039025,0.001246087,0.0071902764],"study_design_scores_gemma":[0.0006221344,0.0008799654,0.012341697,0.00011394056,0.0000072759585,3.0711624e-7,0.14557527,0.00042584643,0.007575577,0.80643487,0.02565521,0.00036790944],"about_ca_topic_score_codex":0.0008062046,"about_ca_topic_score_gemma":0.00008127983,"teacher_disagreement_score":0.17395537,"about_ca_system_score_codex":0.00008427255,"about_ca_system_score_gemma":0.00012587916,"threshold_uncertainty_score":0.6581483},"labels":[],"label_agreement":null},{"id":"W2091910634","doi":"10.4236/ti.2013.42016","title":"External Innovation Implementation Determinants and Performance Measurement: A Case Study from the Pharmaceutical Industry","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","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":"Pharmaceutical industry; Business; Process (computing); Process management; Perception; Knowledge management; Key (lock); Indus; Industrial organization; Marketing; Computer science; Psychology; Medicine","score_opus":0.060825213309059725,"score_gpt":0.30388748845032887,"score_spread":0.24306227514126916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091910634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953597,0.00010079966,0.000024481122,0.0013987815,0.00011925001,0.0008614437,5.9164637e-7,0.00008748689,0.0020474475],"genre_scores_gemma":[0.9943091,0.000004429736,0.00007460215,0.0052010203,0.00013771199,0.00022405385,0.000003093173,0.0000086521195,0.000037297574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991262,0.000012163576,0.00029008833,0.00022693328,0.00016731129,0.00017728581],"domain_scores_gemma":[0.9994938,0.0000082113065,0.0001380834,0.00015981568,0.00019386839,0.000006248507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004165253,0.00013630032,0.00010383339,0.00033860723,0.00034872512,0.00016088354,0.00010469285,0.00009434721,0.00012948636],"category_scores_gemma":[0.000025666535,0.000099491066,0.000007088368,0.00071226823,0.000121976234,0.00046403077,0.00025587855,0.00024708267,0.0000495258],"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":[0.000009834452,0.00013643118,0.6709808,0.000028677323,0.0000441069,0.000038558002,0.00021418527,8.1203034e-8,0.0003956075,0.15743658,0.0005513273,0.17016383],"study_design_scores_gemma":[0.007406954,0.00037258014,0.7950004,0.00015975644,0.00040236342,0.00024600845,0.069021195,0.008941868,0.0025898416,0.08798236,0.026944607,0.0009320623],"about_ca_topic_score_codex":0.0003122568,"about_ca_topic_score_gemma":0.00011877941,"teacher_disagreement_score":0.16923176,"about_ca_system_score_codex":0.000031320607,"about_ca_system_score_gemma":0.000010143864,"threshold_uncertainty_score":0.4057128},"labels":[],"label_agreement":null},{"id":"W2093157579","doi":"10.4236/ti.2010.12011","title":"Low and Highly Skilled Labor Immigration and Wage Inequality","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Labor market dynamics and wage inequality","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":"Wage inequality; Economics; Immigration; Inequality; Labour economics; Globalization; Wage; Capital (architecture); Economic inequality; Market economy; Political science","score_opus":0.008265469649809126,"score_gpt":0.20830187848913642,"score_spread":0.2000364088393273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093157579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925293,0.0009982341,0.00012679957,0.004596357,0.00016086192,0.00017065128,0.000093709445,0.00007317925,0.0012509142],"genre_scores_gemma":[0.9970518,0.000534727,0.0010996158,0.0010225555,0.00002412117,0.000029618224,0.000012911115,0.000009283908,0.00021539586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910915,0.000011975849,0.0003334499,0.00035109706,0.000019126344,0.00017518751],"domain_scores_gemma":[0.99946856,0.000032023196,0.00014952892,0.0002598488,0.000022714843,0.00006732779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005214438,0.0001299985,0.00026126715,0.00022318719,0.00012088329,0.000041424937,0.00007451301,0.00025441838,0.000036404013],"category_scores_gemma":[0.00012385071,0.00012802945,0.000015657703,0.00019309946,0.00028049317,0.00012395541,0.0001123315,0.00023987982,0.000008345714],"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":[0.0000067716996,0.000045055673,0.109586224,0.000021125956,0.000016745387,0.0000019001775,0.00011305414,5.4272455e-8,0.0006013423,0.887596,0.000017463271,0.0019942545],"study_design_scores_gemma":[0.0006788886,0.0001102549,0.16394494,0.000009228755,0.0000067864225,0.000008545857,0.0000696479,0.000692356,0.00089423166,0.8235277,0.009829883,0.0002275147],"about_ca_topic_score_codex":0.00010938223,"about_ca_topic_score_gemma":0.00015929402,"teacher_disagreement_score":0.06406828,"about_ca_system_score_codex":0.0000139669555,"about_ca_system_score_gemma":0.000008326575,"threshold_uncertainty_score":0.52208894},"labels":[],"label_agreement":null},{"id":"W2097448083","doi":"10.4236/ti.2010.11005","title":"A Value-Based and Multi-Level Model of Macro Economies","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Theory and Institutions","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":"Erasmus Universiteit Rotterdam","keywords":"Macro; Ideal (ethics); Value (mathematics); Corporate governance; Economic system; Ideal type; Macro level; Systems theory; Style (visual arts); Dynamics (music); Sequence (biology); Economics; Computer science; Sociology; Political science; Management; Social science; Artificial intelligence; Law","score_opus":0.04823507376458202,"score_gpt":0.2240019043492732,"score_spread":0.17576683058469117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097448083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850747,0.0006251292,0.0035540264,0.0009906166,0.000118849624,0.00013323753,0.00016884411,0.000047634432,0.009286987],"genre_scores_gemma":[0.9744579,0.000058675825,0.02447316,0.0006333128,0.00000826398,0.000029954877,0.0000035868181,0.000007121249,0.00032800908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99929917,0.0000030368499,0.00031071476,0.00024379007,0.0000051287493,0.00013816006],"domain_scores_gemma":[0.99953985,0.000017459352,0.00014759963,0.00024207559,0.000008497435,0.000044502918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020905907,0.00010116123,0.00024187805,0.00032485172,0.00010263314,0.0000105261915,0.00010998791,0.00018782227,0.000055011267],"category_scores_gemma":[0.000048167018,0.00011337055,0.000029357965,0.00006542068,0.0007067689,0.00011070132,0.000063640604,0.00016859638,0.00002773856],"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":[0.0000055449,0.00005752043,0.009348945,0.000013229098,0.00001993284,2.4077394e-7,0.000059256672,0.00013685669,0.00086057256,0.98902225,0.000026211732,0.0004494501],"study_design_scores_gemma":[0.00081785186,0.000064181586,0.0029583178,0.000007333141,0.000006815372,0.0000053346503,0.000040145573,0.070615605,0.005801235,0.9156958,0.0038251083,0.00016226427],"about_ca_topic_score_codex":0.00002189246,"about_ca_topic_score_gemma":0.00003101827,"teacher_disagreement_score":0.07332643,"about_ca_system_score_codex":0.000015102375,"about_ca_system_score_gemma":0.000023621376,"threshold_uncertainty_score":0.46231169},"labels":[],"label_agreement":null},{"id":"W2102428338","doi":"10.4236/ti.2015.62010","title":"The Research on Current Situation and Countermeasure of University Science Park in Gulou District of Nanjing, China","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","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":"National Social Science Fund of China; Government of Jiangsu Province","keywords":"Science park; China; Bottleneck; Countermeasure; Service (business); Sustainable development; State (computer science); Regional science; Function (biology); Business; Political science; Economic growth; Engineering; Economics; Marketing; Geography; Operations management; Computer science","score_opus":0.07115732450966776,"score_gpt":0.2846656431285169,"score_spread":0.2135083186188491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102428338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99264187,0.00008065928,0.000042438685,0.0013902998,0.000041477582,0.00014907435,0.000001655502,0.000013564887,0.0056389817],"genre_scores_gemma":[0.99985343,0.00002415329,0.000020770698,0.00003808757,0.000009237686,7.2560766e-7,0.0000013550516,0.0000017902613,0.000050429833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99927247,0.000015965566,0.000103221486,0.00014673405,0.00033380094,0.00012779262],"domain_scores_gemma":[0.99950796,0.00002429665,0.0001213354,0.0001460101,0.00019194181,0.000008424077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012964195,0.00005347376,0.00007654061,0.0006342009,0.0001891857,0.000018641402,0.00020464252,0.00007400577,0.0000015661809],"category_scores_gemma":[0.00018072854,0.00004403873,0.000005785436,0.0015005586,0.0009271277,0.00030787752,0.00025943076,0.0002365419,0.0000011494622],"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":[0.000054477085,0.00007649887,0.088119656,0.000021646121,0.0000038110327,0.000001198037,0.00009229439,0.000021069158,0.00044281414,0.90727514,0.00044250072,0.0034489115],"study_design_scores_gemma":[0.003720668,0.0004037292,0.6804047,0.000462764,0.00004816871,0.0000025584618,0.014380484,0.011107441,0.0051336186,0.20519549,0.0787493,0.000391088],"about_ca_topic_score_codex":0.00007545889,"about_ca_topic_score_gemma":0.000023034265,"teacher_disagreement_score":0.70207965,"about_ca_system_score_codex":0.00012050551,"about_ca_system_score_gemma":0.000057849167,"threshold_uncertainty_score":0.34160408},"labels":[],"label_agreement":null},{"id":"W2102635891","doi":"10.4236/ti.2010.12009","title":"Environmental Policies and Firm Behavior with Endogenous Investment in R &amp;amp; D","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Climate Change Policy and Economics","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":"Monopolistic competition; Innovator; Economics; Welfare; Investment (military); Social Welfare; Microeconomics; Industrial organization; Market economy; Finance; Monopoly; Entrepreneurship","score_opus":0.06574586073172439,"score_gpt":0.23111082599058247,"score_spread":0.16536496525885808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102635891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99107265,0.0015880023,0.000003933537,0.0012779636,0.00007963238,0.0003043068,0.00012674576,0.00004715827,0.0054995827],"genre_scores_gemma":[0.99534476,0.0006825633,0.0014850791,0.0019808162,0.000028103175,0.0001958163,0.000025425263,0.00001968343,0.00023773397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989795,0.000003984366,0.0003113163,0.00035849176,0.000016035005,0.00033068424],"domain_scores_gemma":[0.9994533,0.000015457797,0.00012826228,0.00031159053,0.0000020766336,0.000089327805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013855462,0.00018110433,0.00029261393,0.00049516093,0.00011076958,0.000028651157,0.000115068025,0.00022053723,0.00016271336],"category_scores_gemma":[0.000014306074,0.00018798052,0.000020008847,0.00011861369,0.00053011224,0.00010732377,0.00014058962,0.00027131755,0.00015472838],"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":[0.000011254246,0.00023924108,0.41731775,0.000012817578,0.000022029984,0.000006228426,0.0010457172,6.409495e-7,0.002065288,0.57876617,0.000081493716,0.00043137243],"study_design_scores_gemma":[0.0037892198,0.0005028311,0.31694576,0.000029526154,0.000042583888,0.0006011313,0.0009169438,0.000057866397,0.0031008052,0.3442006,0.32862854,0.0011841628],"about_ca_topic_score_codex":0.00032195065,"about_ca_topic_score_gemma":0.0014685626,"teacher_disagreement_score":0.32854706,"about_ca_system_score_codex":0.00006989031,"about_ca_system_score_gemma":0.0000073987558,"threshold_uncertainty_score":0.7665623},"labels":[],"label_agreement":null},{"id":"W2103167738","doi":"10.4236/ti.2010.11004","title":"Stylistic Differences across Hedge Funds as Revealed by Historical Monthly Returns","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","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":"Hedge fund; Returns-based style analysis; Diversification (marketing strategy); Alternative beta; Business; Equity (law); Arbitrage; Fund of funds; Market neutral; Financial economics; Open-end fund; Economics; Fund administration; Finance; Institutional investor; Marketing; Corporate governance","score_opus":0.018975417505747334,"score_gpt":0.22076054774698559,"score_spread":0.20178513024123826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103167738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92764395,0.0050380034,0.000020273292,0.0035325184,0.0005606775,0.00020357942,0.000107704254,0.00015617542,0.06273712],"genre_scores_gemma":[0.99224085,0.0002906064,0.0004476795,0.0012911132,0.000052708176,0.000091980175,0.000016160659,0.000017331147,0.00555155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985452,0.000009416051,0.00047225723,0.00050633115,0.00004019645,0.0004265632],"domain_scores_gemma":[0.9992221,0.00003248732,0.0002259366,0.00038626516,0.000020485337,0.00011275055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026531913,0.00022691804,0.00044848735,0.00020272618,0.00026841607,0.00006403571,0.00028168803,0.00042336,0.00021457132],"category_scores_gemma":[0.0001925616,0.00022114791,0.00005422617,0.00028751546,0.00048438107,0.00016807133,0.00012621787,0.00046372786,0.00012657752],"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":[0.000012829664,0.000103598715,0.051808722,0.000016521573,0.000022190192,0.000005302685,0.00012886834,4.6698098e-8,0.0003270829,0.9362862,0.010898542,0.00039011321],"study_design_scores_gemma":[0.0004240356,0.0003788859,0.041319646,0.000010135496,0.000006573921,0.000008162913,0.00011008781,0.000065644774,0.00014597284,0.59454423,0.36268887,0.00029771877],"about_ca_topic_score_codex":0.00029375922,"about_ca_topic_score_gemma":0.00008838039,"teacher_disagreement_score":0.35179034,"about_ca_system_score_codex":0.000111602654,"about_ca_system_score_gemma":0.00002202402,"threshold_uncertainty_score":0.901815},"labels":[],"label_agreement":null},{"id":"W2103317483","doi":"10.4236/ti.2013.43018","title":"Case Study on Improving Quality Management of W Company’s New Product Development Project","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Quality and Supply Management","field":"Business, Management and Accounting","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":"National Natural Science Foundation of China; National Science Foundation","keywords":"Process management; New product development; Quality management; Quality (philosophy); Product (mathematics); Project management; Process (computing); Computer science; Business; Engineering management; Operations management; Risk analysis (engineering); Systems engineering; Management system; Engineering; Marketing","score_opus":0.06479306247637973,"score_gpt":0.2881469329047511,"score_spread":0.22335387042837135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103317483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98805565,0.00010573568,0.00017974093,0.0014047791,0.00012137721,0.0026994387,5.2553327e-7,0.0002617363,0.0071709943],"genre_scores_gemma":[0.9951923,0.0000030070537,0.0023474577,0.0011933469,0.00006595042,0.00033714453,0.0000060556754,0.000017766644,0.0008369995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99820817,0.000027074757,0.00060178083,0.0005426635,0.00027797892,0.0003423341],"domain_scores_gemma":[0.9990642,0.000015781505,0.00027656188,0.0005493002,0.00007430315,0.00001985243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062763336,0.00027033774,0.00034677776,0.00072186167,0.00024113839,0.0000938429,0.00026499515,0.00007244926,0.000071521434],"category_scores_gemma":[0.000023168726,0.0002301213,0.000036011596,0.000665909,0.00014619352,0.00038562738,0.0006095014,0.0001743488,0.00012747542],"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":[0.000057906556,0.0024063676,0.027050393,0.0014568375,0.00055136706,0.0005374385,0.0012278418,0.000012103729,0.00021748885,0.7371485,0.006098894,0.22323482],"study_design_scores_gemma":[0.017291225,0.0017996631,0.33877924,0.0008907794,0.0011697127,0.00035041498,0.2389474,0.0012805754,0.0057147257,0.15693557,0.2322719,0.00456878],"about_ca_topic_score_codex":0.0024904702,"about_ca_topic_score_gemma":0.00009910015,"teacher_disagreement_score":0.58021295,"about_ca_system_score_codex":0.00005118975,"about_ca_system_score_gemma":0.000029630759,"threshold_uncertainty_score":0.9384074},"labels":[],"label_agreement":null},{"id":"W2105201046","doi":"10.4236/ti.2010.12018","title":"An Exploration of the R &amp;amp; D Value beyond the Generally Accepted Accouting Principles","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Climate Change Policy and Economics","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":"Explanatory power; Economics; Derivative (finance); Investment (military); Value (mathematics); Cost of capital; Equity (law); Mathematical economics; Capital (architecture); Exponential function; Microeconomics; Econometrics; Financial economics; Mathematics; Philosophy; Politics; Statistics; Law","score_opus":0.13734313445602137,"score_gpt":0.2844884647887042,"score_spread":0.14714533033268284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105201046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98545283,0.00026466284,0.00016070086,0.0068350844,0.00030157677,0.00020717761,0.000045225916,0.000042872638,0.0066898516],"genre_scores_gemma":[0.995829,0.00013383712,0.001752712,0.0019490471,0.00007921013,0.000048149963,0.000015269326,0.000011795854,0.00018097146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922764,0.000009965369,0.0003570503,0.00021260508,0.00001576949,0.00017698984],"domain_scores_gemma":[0.9990614,0.000021772119,0.00029893036,0.00057486916,0.000015080202,0.00002795118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003969372,0.00010290107,0.00017203328,0.00015109163,0.00022904588,0.000032605894,0.00034616273,0.00018087571,0.00012281876],"category_scores_gemma":[0.000095494404,0.00007593525,0.000039368588,0.00018163446,0.00032235836,0.00027293855,0.00015802981,0.0002314172,0.0000543028],"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":[0.0000028473066,0.000042899846,0.017086815,0.000006077717,0.000016199287,4.1364896e-8,0.0008045474,0.000036852052,0.0018568203,0.97957855,0.000120332355,0.00044798348],"study_design_scores_gemma":[0.00036042387,0.000038793365,0.015706802,0.0000059810072,0.00001128393,0.000007132973,0.0003391353,0.0012743751,0.004778462,0.8877954,0.08949138,0.00019085249],"about_ca_topic_score_codex":0.00007219275,"about_ca_topic_score_gemma":0.0005434542,"teacher_disagreement_score":0.09178321,"about_ca_system_score_codex":0.000020956582,"about_ca_system_score_gemma":0.000011811893,"threshold_uncertainty_score":0.30965495},"labels":[],"label_agreement":null},{"id":"W2108380909","doi":"10.4236/ti.2010.12014","title":"Sub-Optimal Generation Portfolio Variance with Rate of Return Regulation","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Electric Power System Optimization","field":"Engineering","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":"Rate of return on a portfolio; Portfolio; Rate of return; Asset (computer security); Marginal cost; Transmission (telecommunications); Portfolio optimization; Capital asset pricing model; Economics; Econometrics; Microeconomics; Computer science; Financial economics; Finance; Telecommunications","score_opus":0.004185490051088809,"score_gpt":0.17389536423253707,"score_spread":0.16970987418144826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108380909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9598972,0.00019862028,0.03805031,0.00010162218,0.000120697914,0.00016313262,9.902279e-7,0.0002225624,0.001244858],"genre_scores_gemma":[0.989866,0.000026682039,0.0099412305,0.000030686,0.000022100436,0.000024142619,0.000011230089,0.00001094738,0.00006694828],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961627,0.000007792903,0.0001372676,0.000104367085,0.000039747712,0.00009455486],"domain_scores_gemma":[0.99972737,0.000004864588,0.00005017206,0.00016298077,0.00003613337,0.000018506144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010048005,0.000075609845,0.000095616284,0.00018104295,0.000028603064,0.000005584457,0.0000426422,0.00015012325,0.000009583789],"category_scores_gemma":[0.000010280059,0.000067824105,0.000006115199,0.0002906572,0.0000627003,0.00008746812,0.000008042216,0.00011812176,0.0000015444438],"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":[0.00000879038,0.0000166005,0.0015262042,0.000026537198,0.00003937246,0.0000023429989,0.00006311983,0.008145694,0.7966012,0.19146457,0.00070071954,0.0014048667],"study_design_scores_gemma":[0.0003752659,0.00015627441,0.0022433447,0.000018300665,0.000022710097,0.000048351612,0.000007936994,0.23459667,0.75828034,0.0030446942,0.0010641477,0.00014194325],"about_ca_topic_score_codex":0.0000019971283,"about_ca_topic_score_gemma":0.000010172778,"teacher_disagreement_score":0.22645098,"about_ca_system_score_codex":0.000015407777,"about_ca_system_score_gemma":0.000013095029,"threshold_uncertainty_score":0.27657866},"labels":[],"label_agreement":null},{"id":"W2112086058","doi":"10.4236/ti.2011.22012","title":"Instant Diffusion Equation of Price Changing and Time-Space Exchanging Description","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Grey System Theory Applications","field":"Decision Sciences","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":"Diffusion; Instant; Partial differential equation; Diffusion equation; Time derivative; Partial derivative; Order (exchange); Acceleration; Space (punctuation); Differential equation; Mathematics; Derivative (finance); Function (biology); Analogy; Space time; Applied mathematics; Mathematical analysis; Computer science; Economics; Thermodynamics; Physics; Classical mechanics; Chemistry","score_opus":0.09999061544883706,"score_gpt":0.29122982055819563,"score_spread":0.19123920510935857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112086058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96780163,0.00041846847,0.02350263,0.00040776827,0.00003590822,0.00032061938,0.000002255827,0.00007857995,0.0074321656],"genre_scores_gemma":[0.9956341,0.000016768923,0.0036757332,0.000091278926,0.0000052493237,0.000046874666,0.0000011328949,0.0000051989614,0.00052370667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990244,0.000066737186,0.00029553394,0.00026500464,0.00019632833,0.00015198468],"domain_scores_gemma":[0.9992392,0.00008424644,0.00023077437,0.00032529654,0.000080615864,0.000039854247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013042776,0.000085858526,0.00016197046,0.0009648678,0.00015640183,0.00001568447,0.00016413888,0.00011452975,0.00005597187],"category_scores_gemma":[0.0002519046,0.000067674184,0.000015381438,0.00091055915,0.00023518073,0.00017218132,0.00020047209,0.000062534775,0.000039898783],"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":[0.000009506831,0.000034126755,0.0028276083,0.000006957084,0.0000060790544,5.8490474e-7,0.0024988283,5.6067177e-7,0.04624904,0.94287574,0.00003103819,0.0054599573],"study_design_scores_gemma":[0.0003341563,0.00018914291,0.0073728,0.00006822708,0.000019471809,0.00002684687,0.0046427944,0.004443796,0.039115775,0.94151914,0.0021246623,0.00014320218],"about_ca_topic_score_codex":0.0000061968826,"about_ca_topic_score_gemma":0.0000015582666,"teacher_disagreement_score":0.02783245,"about_ca_system_score_codex":0.000023653085,"about_ca_system_score_gemma":0.000011285724,"threshold_uncertainty_score":0.2759673},"labels":[],"label_agreement":null},{"id":"W2120551752","doi":"10.4236/ti.2010.11006","title":"On the Ideal Duration of Entrepreneurial Resources Commitment","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","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":"Duration (music); Ideal (ethics); Trait; Dimension (graph theory); Perception; Macro; Separate spheres; Term (time); Economics; Business; Marketing; Psychology; Political science; Computer science; Mathematics; Politics","score_opus":0.016394898547886456,"score_gpt":0.20068648897757707,"score_spread":0.18429159042969062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120551752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750329,0.000104579325,0.000020019017,0.010478277,0.00017686405,0.00012797261,0.0000104916,0.000028541115,0.0140203275],"genre_scores_gemma":[0.998168,0.000010575535,0.00014907497,0.0014717215,0.000020911342,0.000023471988,0.0000028829475,0.0000034427119,0.00014989784],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995225,0.0000050783024,0.00025030717,0.00012935305,0.000018074597,0.00007468629],"domain_scores_gemma":[0.9995767,0.00003080068,0.00015677014,0.00021222251,0.00001134623,0.000012149688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021522939,0.00005563391,0.000102474565,0.0001984442,0.0000727515,0.000009029253,0.00009789151,0.000094561816,0.0001876005],"category_scores_gemma":[0.000098046425,0.00004356402,0.00001651829,0.00017687806,0.00019025776,0.000025095855,0.00003638648,0.00015036925,0.000046799752],"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":[0.0000070994897,0.000038823895,0.011534117,0.0000022185186,0.000010890593,2.2005798e-7,0.00013980066,2.476349e-7,0.00065830734,0.98590344,0.0014741698,0.00023066888],"study_design_scores_gemma":[0.00030634494,0.00013877319,0.015511593,0.0000034923119,0.0000017768353,0.0000019405798,0.000042553387,0.00012244536,0.009360015,0.9054639,0.06898669,0.00006047058],"about_ca_topic_score_codex":0.00001575879,"about_ca_topic_score_gemma":0.0000083557225,"teacher_disagreement_score":0.08043954,"about_ca_system_score_codex":0.0000071865675,"about_ca_system_score_gemma":0.0000034082882,"threshold_uncertainty_score":0.20540938},"labels":[],"label_agreement":null},{"id":"W2124186364","doi":"10.4236/ti.2013.42015","title":"Quality, Satisfaction and Industrial Disputes in the Tourist Accommodation Services of the State of M&amp;#233;rida, Venezuela","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","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":"Accommodation; Tourism; Service quality; Scale (ratio); Business; Service (business); Quality (philosophy); State (computer science); SERVQUAL; Construct (python library); Marketing; Job satisfaction; Quality of service; Consumer satisfaction; Psychology; Geography; Political science; Law; Social psychology; Mathematics; Computer science; Telecommunications","score_opus":0.032942601748362714,"score_gpt":0.2604314427637344,"score_spread":0.2274888410153717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124186364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927438,0.00015805288,0.0000036188144,0.006248623,0.00006380895,0.0003292961,0.0000033061922,0.000020451365,0.0004290327],"genre_scores_gemma":[0.9981403,0.000024059833,0.000029384715,0.0017130367,0.00003792408,0.000030350891,0.0000063351276,0.0000037860855,0.000014863818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933153,0.000044501357,0.00027691474,0.00012464868,0.00012053401,0.00010186294],"domain_scores_gemma":[0.9994211,0.000054643107,0.00026227374,0.00022155911,0.000036335052,0.0000040744308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003819682,0.000085608684,0.00014640437,0.00016682172,0.000086621556,0.00003892005,0.00016110761,0.00009797514,0.00001882497],"category_scores_gemma":[0.000033978773,0.000053331685,0.000018388037,0.00041797612,0.0001926878,0.00034711818,0.00018995836,0.00015559912,0.000004831789],"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":[0.00002819954,0.00011184654,0.7527833,0.00046332955,0.000027851098,2.138055e-7,0.00081493537,0.000013590454,0.002970071,0.20903528,0.0003048425,0.033446547],"study_design_scores_gemma":[0.00046744262,0.000013666393,0.8282464,0.00006941921,0.000019130306,9.682747e-7,0.001112027,0.00012791606,0.00060630846,0.16635148,0.0029055916,0.000079661906],"about_ca_topic_score_codex":0.007494344,"about_ca_topic_score_gemma":0.003485782,"teacher_disagreement_score":0.07546309,"about_ca_system_score_codex":0.00000828867,"about_ca_system_score_gemma":0.0000075977127,"threshold_uncertainty_score":0.9991148},"labels":[],"label_agreement":null},{"id":"W2125048715","doi":"10.4236/ti.2011.22010","title":"Asset Allocation, Time Diversification and Portfolio Optimization for Retirement","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","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":"Diversification (marketing strategy); Portfolio; Portfolio optimization; Asset allocation; Economics; Downside risk; Bond; Rate of return on a portfolio; Stock (firearms); Investment portfolio; Bootstrapping (finance); Financial economics; Econometrics; Business; Finance","score_opus":0.032142744405646274,"score_gpt":0.2663592759600898,"score_spread":0.23421653155444352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125048715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8793778,0.0013695935,0.016831925,0.0087792305,0.00039415483,0.0039761933,0.000028659631,0.000807104,0.08843537],"genre_scores_gemma":[0.98317915,0.000652944,0.014777659,0.0006012753,0.000022846158,0.0001900034,0.000030978445,0.000007480424,0.00053768785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993106,0.000034050823,0.00014925838,0.0002279296,0.00011116314,0.00016700238],"domain_scores_gemma":[0.99960685,0.000009324115,0.00009994197,0.00015656617,0.000083309766,0.000043993754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043409585,0.00007953168,0.00009221884,0.00023777827,0.00039545193,0.000017789886,0.000109803936,0.00012538936,0.000083047606],"category_scores_gemma":[0.00003997398,0.00008229797,0.00001696351,0.0002529464,0.00047380003,0.00013449012,0.00004857288,0.000043111373,0.0000067060823],"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":[0.000011689961,0.000082693434,0.026782816,0.000014571212,0.00004495127,6.1997497e-7,0.0014802781,0.000006148432,0.00003427887,0.9638685,0.0030835362,0.004589943],"study_design_scores_gemma":[0.0024830138,0.0009994772,0.22195521,0.000086213106,0.0004808521,0.0000031382772,0.009362259,0.007402556,0.0025939834,0.5708303,0.1827093,0.0010936979],"about_ca_topic_score_codex":0.00012919022,"about_ca_topic_score_gemma":0.000047201065,"teacher_disagreement_score":0.39303818,"about_ca_system_score_codex":0.000041649062,"about_ca_system_score_gemma":0.000021208878,"threshold_uncertainty_score":0.3356014},"labels":[],"label_agreement":null},{"id":"W2133640211","doi":"10.4236/ti.2010.11002","title":"Long-Term Outperformance of Equity Carve-Outs?— Evidence from Germany","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"Initial public offering; Divestment; Equity (law); Business; Point (geometry); Term (time); Financial economics; Economics; Accounting; Finance; Political science","score_opus":0.02700303900410611,"score_gpt":0.2519568671964507,"score_spread":0.2249538281923446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133640211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958401,0.0006831841,0.00008402259,0.0011214332,0.0003065775,0.0001537861,0.0000060002358,0.00010837174,0.001696581],"genre_scores_gemma":[0.9980658,0.000083974366,0.00019668735,0.0011965665,0.00017350836,0.000022759867,0.000004916161,0.000009092582,0.00024668477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991821,0.000002000114,0.00022176503,0.00025895328,0.00012912009,0.00020605196],"domain_scores_gemma":[0.9992455,0.000016030826,0.00028023394,0.00038022787,0.00006855992,0.0000094210845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014543727,0.00014048415,0.00020174717,0.00016581317,0.00009099417,0.000030284922,0.00030870512,0.00016238952,0.0001213274],"category_scores_gemma":[0.000058414145,0.00012484948,0.000030412479,0.00034014578,0.00032674483,0.00069762545,0.000363679,0.00025186644,0.00013089467],"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":[0.000023008382,0.00005054162,0.87204003,0.00008594551,0.000015101532,0.000011338839,0.00002115523,8.912438e-7,0.020762127,0.097578324,0.00074945996,0.008662095],"study_design_scores_gemma":[0.0003325705,0.000026420441,0.9657547,0.00015717719,0.00003670381,0.0000026068017,0.000009797144,0.00016141063,0.007138269,0.020481931,0.0057227015,0.00017569574],"about_ca_topic_score_codex":0.0002916722,"about_ca_topic_score_gemma":0.000362322,"teacher_disagreement_score":0.09371471,"about_ca_system_score_codex":0.000010900619,"about_ca_system_score_gemma":0.000022181835,"threshold_uncertainty_score":0.5091214},"labels":[],"label_agreement":null},{"id":"W2139089953","doi":"10.4236/ti.2011.21003","title":"Global Chemical Leasing Award 2010","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","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":"Business; Christian ministry; Payment; Agriculture; Subsidy; Chemical products; Production (economics); Chemical industry; Service (business); Finance; Natural resource economics; Marketing; Environmental science; Economics; Engineering; Political science; Environmental engineering","score_opus":0.009494458039434099,"score_gpt":0.1850844602828206,"score_spread":0.1755900022433865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139089953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95867497,0.00006173854,0.0001059025,0.00020806059,0.00003328343,0.000031607095,9.74052e-7,0.00013136408,0.04075208],"genre_scores_gemma":[0.9959936,0.000005248776,0.003604618,0.00024063145,0.000008376239,0.000007901178,0.0000010785074,0.0000031652917,0.00013535256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995504,0.000001520905,0.00007484414,0.00016777446,0.000048734248,0.00015675116],"domain_scores_gemma":[0.99979335,0.0000024040314,0.000015023008,0.00012728332,0.0000012056137,0.00006074699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024249595,0.00007822989,0.00006845814,0.000009576186,0.000030494113,0.00000249722,0.00010556413,0.00013585322,0.00038589683],"category_scores_gemma":[0.000013602629,0.00007266022,0.000014251125,0.00014251057,0.00031422227,0.00003882511,0.000172191,0.000090301604,0.000060705297],"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":[0.000028537994,0.0002327728,0.12657662,0.00002628768,0.000036118814,0.00003932437,0.00018039407,0.000011914814,0.7737706,0.08051544,0.0049484493,0.013633596],"study_design_scores_gemma":[0.00025479827,0.000031742642,0.007867986,0.000011835382,0.000013939476,0.0000922322,0.00004063557,0.0001893416,0.9053031,0.078387745,0.0075986627,0.00020795029],"about_ca_topic_score_codex":0.000019604895,"about_ca_topic_score_gemma":9.944521e-7,"teacher_disagreement_score":0.13153256,"about_ca_system_score_codex":0.00006232054,"about_ca_system_score_gemma":0.000001986925,"threshold_uncertainty_score":0.42252997},"labels":[],"label_agreement":null},{"id":"W2139219833","doi":"10.4236/ti.2010.11003","title":"A Literature Review on the Studies of Internet Retailing Management","year":2010,"lang":"en","type":"review","venue":"Technology and Investment","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","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":"National Natural Science Foundation of China; National Science Foundation","keywords":"The Internet; Business; Marketing; Incentive; Economics; Computer science","score_opus":0.07607161679455421,"score_gpt":0.32291445280068765,"score_spread":0.24684283600613344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139219833","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":[0.00012561133,0.99185896,2.422674e-7,0.0016494961,0.00024882884,0.0015467647,0.0000038798994,0.0001243095,0.004441882],"genre_scores_gemma":[0.00002084914,0.9971304,0.00006174036,0.0013571564,0.000042212512,0.00065583497,0.000016407148,0.000029934994,0.000685448],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998518,0.000024475312,0.00060499687,0.00044760527,0.0001737516,0.00023115444],"domain_scores_gemma":[0.99849486,0.00007520401,0.00061742525,0.00070102967,0.000105207946,0.0000062744225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005092576,0.00046930654,0.001444421,0.0007445274,0.00012833084,0.00004576133,0.0005191788,0.00029150464,0.000028514458],"category_scores_gemma":[0.0001710845,0.00025741121,0.00021551679,0.0010675554,0.00057145074,0.0000922951,0.0010592572,0.0008241293,0.000079595455],"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":[0.000001099793,0.00002635434,0.00004177609,0.059831977,0.000341256,0.000022106402,0.000009138908,5.7418686e-10,1.0060212e-7,0.33476722,0.002095387,0.6028636],"study_design_scores_gemma":[0.00006119935,0.000014982675,0.0000043066048,0.1285841,0.0018188079,0.0000114978375,0.000053902128,3.5510843e-7,6.1633995e-7,0.0025412205,0.8667143,0.00019467784],"about_ca_topic_score_codex":0.0000018723244,"about_ca_topic_score_gemma":0.0000091873335,"teacher_disagreement_score":0.86461896,"about_ca_system_score_codex":0.00002961437,"about_ca_system_score_gemma":0.000009704334,"threshold_uncertainty_score":0.99998784},"labels":[],"label_agreement":null},{"id":"W2141806184","doi":"10.4236/ti.2010.14031","title":"Innovation and Investment: Nasdaq-Listed Companies of Israel","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":3,"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":"Investment (military); Capital expenditure; Business; Middle East; China; Venture capital; Value (mathematics); Public spending; Economics; Finance; Financial system; Geography; Political science","score_opus":0.016192446616575686,"score_gpt":0.22587962579530274,"score_spread":0.20968717917872706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141806184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898869,0.00031201556,0.000021675765,0.0022306582,0.00021098432,0.00018429612,0.0000027199264,0.00014706262,0.0070037246],"genre_scores_gemma":[0.99430776,0.000011262252,0.00035776352,0.0051025245,0.000094547155,0.000016808579,0.000023115725,0.000008991897,0.00007725377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99928623,0.0000032812957,0.00026255095,0.00019942407,0.00008773395,0.00016078044],"domain_scores_gemma":[0.9994974,0.000011692277,0.00019547073,0.00019853788,0.000088199435,0.000008698001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018041079,0.00013419225,0.00018449582,0.00063758367,0.00012354743,0.000042540556,0.00013739314,0.00019185012,0.000023588564],"category_scores_gemma":[0.00011156489,0.00012023165,0.00001494606,0.0006573278,0.0005678226,0.0003817729,0.00028962654,0.00022917977,0.000013486696],"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":[0.00000999582,0.00006165053,0.009927779,0.00007729807,0.000022058312,0.0000018415188,0.00003291245,1.6010829e-7,0.038346954,0.94934255,0.0004866798,0.0016901374],"study_design_scores_gemma":[0.0011412966,0.0000832168,0.032235526,0.00004849388,0.000063108884,0.000015909258,0.00048486484,0.0005725279,0.01349227,0.8647061,0.08685708,0.00029961922],"about_ca_topic_score_codex":0.000034273,"about_ca_topic_score_gemma":0.000025002537,"teacher_disagreement_score":0.0863704,"about_ca_system_score_codex":0.000006359519,"about_ca_system_score_gemma":0.000010017219,"threshold_uncertainty_score":0.49029043},"labels":[],"label_agreement":null},{"id":"W2150182786","doi":"10.4236/ti.2010.13025","title":"Demanding Model of Automobile Loan Using Stochastic Theory","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Civil and Geotechnical Engineering Research","field":"Engineering","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":"Loan; Econometrics; Computer science; Conditional expectation; Conditional probability distribution; Conditional probability; Economics; Actuarial science; Mathematics; Statistics; Finance","score_opus":0.012116303848164863,"score_gpt":0.23411997290589204,"score_spread":0.22200366905772717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150182786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9027394,0.00032180312,0.09574875,0.000030732033,0.00006271211,0.000101637364,0.000003331904,0.00040223522,0.0005894105],"genre_scores_gemma":[0.99602914,0.00000855867,0.003873205,0.000013243388,0.000009437992,0.00001772377,6.5666836e-7,0.00001369806,0.00003434939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952537,0.0000030301926,0.00012169797,0.00010233449,0.00006320844,0.00018438186],"domain_scores_gemma":[0.9997134,0.000029158376,0.0000120355135,0.00018570163,0.000013504743,0.000046162644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014950537,0.0000882828,0.00013169457,0.00026507286,0.000035535675,0.000004164892,0.00010589268,0.00017997577,0.000018907407],"category_scores_gemma":[0.000046421887,0.000080602986,0.000018752587,0.00019327918,0.00020466707,0.000035376583,0.00006940835,0.00034964058,0.0000024394324],"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":[0.000002708307,0.000017408916,0.000025936397,0.000051588642,0.000022063197,0.0000011087149,0.00003543629,0.28279513,0.27141327,0.44302946,0.000016517648,0.0025893843],"study_design_scores_gemma":[0.00011505891,0.00002774001,0.000026914962,0.000021403626,0.000009483946,0.00001062666,0.0000142663675,0.84774464,0.020778285,0.13110988,0.000058966114,0.00008271655],"about_ca_topic_score_codex":0.0000014534978,"about_ca_topic_score_gemma":0.0000018663397,"teacher_disagreement_score":0.5649495,"about_ca_system_score_codex":0.000014966836,"about_ca_system_score_gemma":0.000011625519,"threshold_uncertainty_score":0.32868943},"labels":[],"label_agreement":null},{"id":"W2152281431","doi":"10.4236/ti.2010.11008","title":"Hybrid Decision Models in Non-Proportional Reinsurance","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Insurance and Financial Risk Management","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":"Reinsurance; Deductible; Actuarial science; Equity (law); Shareholder; Business; Decision model; Economics; Risk analysis (engineering); Finance; Mathematical economics","score_opus":0.012854430658843778,"score_gpt":0.2089894418815122,"score_spread":0.1961350112226684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152281431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97167295,0.00072848133,0.0032263547,0.00079390575,0.00033447435,0.00022522177,0.000017202996,0.00004656312,0.02295487],"genre_scores_gemma":[0.9950292,0.00029778655,0.0037040976,0.00057728926,0.000027441947,0.00007801704,0.000004835464,0.000009614205,0.00027172916],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990017,0.0000018446827,0.00039127425,0.00034637327,0.0000300202,0.0002288083],"domain_scores_gemma":[0.9995375,0.000008909255,0.00012447196,0.00028186353,0.0000148356785,0.000032398722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030990786,0.00011213692,0.00022793628,0.00053894165,0.00008188418,0.0000145719205,0.00016224722,0.00013707062,0.00004940672],"category_scores_gemma":[0.00004106071,0.00012268875,0.000029306291,0.00025750595,0.00015523854,0.00018759805,0.00008673769,0.00029501555,0.00014441543],"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":[0.000011195612,0.00006190284,0.030306341,0.000005743016,0.0000051263,0.000012630704,0.000029416176,0.000041364758,0.00006234311,0.9617855,0.00029747133,0.0073809545],"study_design_scores_gemma":[0.00044847932,0.00004886692,0.06971829,0.000011848832,0.0000010233367,0.0000065197814,0.000009622882,0.0034977193,0.00030547442,0.90959036,0.016224,0.00013781164],"about_ca_topic_score_codex":0.000050979215,"about_ca_topic_score_gemma":0.000045476692,"teacher_disagreement_score":0.05219516,"about_ca_system_score_codex":0.000029134362,"about_ca_system_score_gemma":0.000009582199,"threshold_uncertainty_score":0.50031024},"labels":[],"label_agreement":null},{"id":"W2154994646","doi":"10.4236/ti.2013.43022","title":"A Study of Service Desk Setup in Implementing IT Service Management in Enterprises","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":35,"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 Technology Infrastructure Library; Financial management for IT services; Service desk; Incident management; IT portfolio management; IT service management; Capacity management; ITIL security management; Process management; Service (business); Business; Service management; Knowledge management; Computer science; Service design; Service delivery framework; Engineering management; Information technology; Computer security; Engineering; Marketing; Project management; Systems engineering","score_opus":0.0912751287930103,"score_gpt":0.3748706503503909,"score_spread":0.2835955215573806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154994646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883506,0.00006426942,0.00001740037,0.008766414,0.00004497402,0.0009760811,0.0000022168235,0.00009538529,0.0016827105],"genre_scores_gemma":[0.99559295,0.000020601432,0.0012058835,0.0027608098,0.000002075213,0.00031010323,0.0000013967825,0.0000075512557,0.000098652694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978642,0.00009609893,0.00084261945,0.00050771685,0.00033087478,0.00035851268],"domain_scores_gemma":[0.9989188,0.00006966517,0.0002202266,0.00063339155,0.0001156535,0.000042264615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089179183,0.00016988046,0.00033361922,0.0020630094,0.000071388706,0.000033005213,0.00071359816,0.00019127078,0.00022641996],"category_scores_gemma":[0.00006241393,0.0001427493,0.000019335446,0.0028386181,0.00009003779,0.00022362483,0.0008724422,0.00026084227,0.0001045907],"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":[0.000012802237,0.00088370277,0.96692675,0.000014288268,0.00002731867,0.00003578512,0.0024176987,0.000009679431,0.00030905745,0.013875126,0.00046394282,0.01502383],"study_design_scores_gemma":[0.0024515404,0.00027808256,0.83219105,0.000053232383,0.000021890846,0.0000142071485,0.091041885,0.0002759309,0.0004993077,0.07047826,0.0024905924,0.00020403351],"about_ca_topic_score_codex":0.0005943975,"about_ca_topic_score_gemma":0.0053346427,"teacher_disagreement_score":0.13473573,"about_ca_system_score_codex":0.000045468205,"about_ca_system_score_gemma":0.000015025638,"threshold_uncertainty_score":0.58211476},"labels":[],"label_agreement":null},{"id":"W2155305351","doi":"10.4236/ti.2010.12010","title":"Strategic Orientations: Multiple Ways for Implementing Sustainable Performance","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Organizational Leadership and Management Strategies","field":"Business, Management and Accounting","cited_by":18,"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":"Competence (human resources); Context (archaeology); Process management; Strategic alignment; Strategic planning; Computer science; Sustainability; Strategic management; Knowledge management; Ideal (ethics); Management science; Business; Management; Strategic financial management; Engineering; Political science; Marketing; Economics","score_opus":0.02849151967212198,"score_gpt":0.23127027404617667,"score_spread":0.20277875437405468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155305351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681087,0.000053005224,0.00058014476,0.0026819766,0.00018736778,0.0006320093,0.0000018391365,0.00033364855,0.027421312],"genre_scores_gemma":[0.9951048,0.000005716448,0.001724911,0.0020554902,0.00020681378,0.00016686988,0.000058285448,0.000016047596,0.0006610501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991697,0.000001182711,0.00016747016,0.00022713828,0.00007640391,0.00035808462],"domain_scores_gemma":[0.99959844,0.000019224013,0.000101343925,0.00014471485,0.00012732652,0.000008918081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001929023,0.00012743117,0.000100816535,0.0004186116,0.0005341039,0.00015069364,0.00014187365,0.00008939347,0.00008644005],"category_scores_gemma":[0.00006211725,0.00012015712,0.000018631277,0.00048459272,0.00014360776,0.0007316797,0.00013766669,0.00012423182,0.00002945865],"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":[0.000009082211,0.00003461415,0.014340042,0.00018014201,0.000016461127,0.0000010936341,0.00002300753,0.0000031306615,0.0009910767,0.9831685,0.0008811105,0.0003517695],"study_design_scores_gemma":[0.0011739716,0.000054898195,0.0047777635,0.000013891877,0.000069860114,0.000002827366,0.011516329,0.0027014816,0.0017029039,0.69712114,0.2805511,0.00031380865],"about_ca_topic_score_codex":0.000025866795,"about_ca_topic_score_gemma":0.00004834569,"teacher_disagreement_score":0.2860473,"about_ca_system_score_codex":0.00001076468,"about_ca_system_score_gemma":0.000019883719,"threshold_uncertainty_score":0.48998654},"labels":[],"label_agreement":null},{"id":"W2162656643","doi":"10.4236/ti.2010.12012","title":"A Typology of Institutional Frameworks for Organizations","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Chaos, Complexity, and Education","field":"Computer Science","cited_by":8,"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":"Typology; Ideal type; Value (mathematics); Ideal (ethics); Table (database); Sequence (biology); Institutional theory; Political science; Sociology; Computer science; Social science; Biology; Database; Law; Genetics","score_opus":0.01157440889859436,"score_gpt":0.2586069777455223,"score_spread":0.24703256884692798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162656643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.600263,0.000118833894,0.3867037,0.011068892,0.0007468203,0.00016947935,0.000002985924,0.0001292747,0.00079699047],"genre_scores_gemma":[0.8736005,0.0000059430013,0.12556191,0.0007315533,0.00003249789,0.000028103674,0.0000047429467,0.000001862413,0.000032874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996507,0.0000040923587,0.000094159586,0.0001319045,0.00003068133,0.00008845482],"domain_scores_gemma":[0.9996026,0.000028397186,0.00003920387,0.00021355161,0.00009285013,0.000023352573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060985607,0.000044676395,0.000068248824,0.00017324847,0.00011509507,0.0000072038556,0.00020599367,0.00021024041,0.000013977303],"category_scores_gemma":[0.00013759395,0.00004208495,0.000009047319,0.0003541916,0.00031280416,0.00006707053,0.00009083895,0.00015915929,0.0000036751735],"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":[7.5767235e-7,0.000049652448,0.0012642957,0.0000051413103,0.000005441886,9.8931544e-8,0.00020077355,0.000001729261,0.0015953886,0.99375457,0.00045092017,0.0026712064],"study_design_scores_gemma":[0.00015777888,0.00008972376,0.0054328023,0.0000045193,0.0000045552933,0.000024323997,0.000053445463,0.0022873757,0.0062564053,0.97388315,0.0117465,0.000059408758],"about_ca_topic_score_codex":0.0000059682193,"about_ca_topic_score_gemma":0.000017548755,"teacher_disagreement_score":0.27333748,"about_ca_system_score_codex":0.000007954728,"about_ca_system_score_gemma":0.000096017546,"threshold_uncertainty_score":0.17161745},"labels":[],"label_agreement":null},{"id":"W2164305298","doi":"10.4236/ti.2011.21006","title":"Research and Development Cooperation between Rivals: A Novel Motive beyond New Knowledge","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","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":"Quality (philosophy); Incentive; Product (mathematics); Process (computing); Constraint (computer-aided design); Business; New product development; Selection (genetic algorithm); Microeconomics; Industrial organization; Marketing; Economics; Computer science; Engineering","score_opus":0.16093136976110992,"score_gpt":0.30269032434187015,"score_spread":0.14175895458076024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164305298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95602,0.00045223616,0.0017399426,0.0013890396,0.00009010014,0.00035834522,7.839169e-7,0.00017746702,0.03977207],"genre_scores_gemma":[0.9955028,0.000012070433,0.003293001,0.0004921675,0.00016567955,0.00003947374,0.000025449854,0.0000124134185,0.00045694227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99915165,0.000005708902,0.00022173325,0.00028604292,0.00009370563,0.00024116527],"domain_scores_gemma":[0.9995012,0.0000147570245,0.00007072372,0.0001350337,0.00026304153,0.00001524282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041797193,0.0001349408,0.00014774846,0.00079537445,0.00037071918,0.00006826357,0.00011885314,0.00020251588,0.000058037822],"category_scores_gemma":[0.000046685534,0.00012030146,0.0000059761287,0.0009988227,0.00032817753,0.00059260277,0.00024038086,0.00022899067,0.00009793573],"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":[0.000013535853,0.000101561294,0.016629433,0.000042799194,0.000028115212,0.000001079848,0.00025119673,1.280368e-7,0.0006051039,0.966668,0.0009837766,0.0146752875],"study_design_scores_gemma":[0.0022643565,0.00020679107,0.29489335,0.00016453752,0.00005297786,0.000009198424,0.0013364633,0.00019150453,0.016190466,0.43887472,0.24517386,0.00064179907],"about_ca_topic_score_codex":0.00009775154,"about_ca_topic_score_gemma":0.00004078137,"teacher_disagreement_score":0.5277933,"about_ca_system_score_codex":0.000027282387,"about_ca_system_score_gemma":0.0000730634,"threshold_uncertainty_score":0.49057513},"labels":[],"label_agreement":null},{"id":"W2165095501","doi":"10.4236/ti.2014.52009","title":"E-Filing Behaviour among Academics in Perak State in Malaysia","year":2014,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","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":"Business; Credibility; Government (linguistics); Revenue; Population; Service quality; State (computer science); Service (business); Quality (philosophy); Accounting; Marketing; Political science","score_opus":0.054296410568721795,"score_gpt":0.3356998234644378,"score_spread":0.28140341289571597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165095501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666184,0.00018707661,0.00022541235,0.0020257095,0.00009948426,0.0002119282,0.0000032937776,0.00020160782,0.00038362638],"genre_scores_gemma":[0.9975125,0.00005562972,0.0011765915,0.000764392,0.0000064756046,0.0000557761,0.0000020779128,0.000010668699,0.00041587514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799234,0.00011017825,0.00065546046,0.00057005737,0.00027861484,0.0003933642],"domain_scores_gemma":[0.9991291,0.00010454648,0.00015511851,0.0005051267,0.000034019067,0.000072055525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017042538,0.00017890334,0.0003341032,0.0021093187,0.00007387949,0.0000338951,0.00058416877,0.00061100704,0.000046420602],"category_scores_gemma":[0.0004945911,0.00015301288,0.000032596497,0.0014430787,0.0005658135,0.00020513387,0.00029252598,0.00091152894,0.000057114463],"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":[0.00000663451,0.000060048445,0.91092604,0.0000010819919,0.0000016763186,0.00001544868,0.00020271202,0.000044087057,0.00027934767,0.08034479,0.00010275474,0.008015346],"study_design_scores_gemma":[0.0005220124,0.000074429554,0.7097805,0.000020221281,0.000003643409,0.000014121042,0.00046308592,0.0014905788,0.0009004769,0.28548685,0.0011025332,0.00014151262],"about_ca_topic_score_codex":0.00007779209,"about_ca_topic_score_gemma":0.00031978515,"teacher_disagreement_score":0.20514207,"about_ca_system_score_codex":0.00006609601,"about_ca_system_score_gemma":0.000023013286,"threshold_uncertainty_score":0.6239684},"labels":[],"label_agreement":null},{"id":"W2167864296","doi":"10.4236/ti.2011.22008","title":"A Small-Size Macroeconometric Model for Pakistan Economy","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Monetary Policy and Economic Impact","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":"Macro; Econometric model; Simultaneous equations model; Simultaneous equations; Economics; Econometrics; Key (lock); Rest (music); Macroeconomics; Monetary policy; Computer science; Mathematics; Physics","score_opus":0.1325581001016581,"score_gpt":0.23580193719573123,"score_spread":0.10324383709407312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167864296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8705595,0.0040297336,0.010942633,0.0011922158,0.00016238564,0.00074982736,0.00022795761,0.00019259792,0.111943156],"genre_scores_gemma":[0.9775707,0.0001406884,0.01675087,0.0028676763,0.00003126499,0.00023546937,0.0000072637654,0.000025724376,0.002370351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850935,0.000003567622,0.00056255056,0.00048248455,0.0000054007473,0.00043665024],"domain_scores_gemma":[0.9992228,0.000037767426,0.00023030715,0.00038436588,0.0000073182023,0.00011744725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030764923,0.00020235822,0.00042120335,0.00074335997,0.00013863857,0.000025212754,0.00024006021,0.00023686039,0.00032398885],"category_scores_gemma":[0.000052167445,0.00023538434,0.0000893631,0.0001966448,0.00020822803,0.0001776375,0.000082273415,0.00012742526,0.00019589822],"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":[0.000024085955,0.000067028006,0.012329944,0.0000250985,0.000086874716,8.864925e-7,0.00037100422,0.000027713808,0.0000025816864,0.98546225,0.0006973033,0.0009052493],"study_design_scores_gemma":[0.0007871488,0.00019721214,0.002066163,0.000003954805,0.000011290155,0.000010784832,0.00006552112,0.048014317,0.00020312167,0.91991353,0.028438114,0.000288857],"about_ca_topic_score_codex":0.00008068325,"about_ca_topic_score_gemma":0.0000152518,"teacher_disagreement_score":0.109572805,"about_ca_system_score_codex":0.000088460285,"about_ca_system_score_gemma":0.000014436938,"threshold_uncertainty_score":0.9598695},"labels":[],"label_agreement":null},{"id":"W2168843589","doi":"10.4236/ti.2015.61005","title":"Risk Management in Project Networks: An Information Processing View","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Construction Project Management and Performance","field":"Decision Sciences","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":"Project risk management; Risk management; Knowledge management; Project management; Risk management plan; Project management triangle; Computer science; Risk management information systems; Business; Plan (archaeology); Information system; Process management; Risk analysis (engineering); IT risk management; Management information systems; Management; Finance","score_opus":0.07124988984886416,"score_gpt":0.35197291905412725,"score_spread":0.2807230292052631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168843589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9171693,0.0016731622,0.008528729,0.00097313855,0.00036702104,0.0012455053,0.0000022844588,0.00033142045,0.06970947],"genre_scores_gemma":[0.9912493,0.00039446293,0.0070049334,0.00087595015,0.000021085478,0.00013108905,0.000006433687,0.00000431552,0.0003124345],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998787,0.00006578952,0.0004236842,0.00022891363,0.0003054329,0.00018920812],"domain_scores_gemma":[0.99936664,0.000014315129,0.00019478874,0.00030055636,0.00007893013,0.00004477756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017013599,0.000106307,0.00014581291,0.0013858217,0.0001133057,0.00014153188,0.00028525337,0.00009084387,0.000014171249],"category_scores_gemma":[0.000093995746,0.000080574755,0.000012796056,0.0018173421,0.00015866375,0.0013816538,0.00019809013,0.00015424423,0.00004626698],"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":[0.000020157804,0.000024022154,0.031452198,0.000007963236,0.0000066573957,0.0000020206567,0.0004742969,0.00016177147,1.412998e-7,0.10464331,0.00118931,0.86201817],"study_design_scores_gemma":[0.0014198108,0.0003043356,0.0117947,0.00004760932,0.000024671695,0.000022871689,0.009394765,0.096038766,0.000020151261,0.32107335,0.5595738,0.00028517004],"about_ca_topic_score_codex":0.000021571017,"about_ca_topic_score_gemma":0.00004091876,"teacher_disagreement_score":0.86173296,"about_ca_system_score_codex":0.000041946067,"about_ca_system_score_gemma":0.000035523124,"threshold_uncertainty_score":0.3285743},"labels":[],"label_agreement":null},{"id":"W2240769110","doi":"10.4236/ti.2010.13027","title":"Do Regional Investment Grants Improve Firm Performance? Evidence from Sweden","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":15,"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":"Propensity score matching; Equity (law); Investment (military); Control (management); Business; Matching (statistics); Sample (material); Control sample; Finance; Investment policy; Investment performance; Selection (genetic algorithm); Large sample; Accounting; Economics; Labour economics; Return on investment; Microeconomics; Incentive; Management; Production (economics)","score_opus":0.049913085282573384,"score_gpt":0.24954134996628843,"score_spread":0.19962826468371506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240769110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98454565,0.001907506,0.000042051954,0.005915495,0.00051200815,0.00021284184,0.00004297854,0.00009974479,0.0067217126],"genre_scores_gemma":[0.9904932,0.0003108297,0.0017749692,0.0064342967,0.0001229022,0.00008940023,0.000013775514,0.000012921541,0.0007477339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882126,0.0000053107437,0.00043070907,0.00042608456,0.000040220886,0.0002764094],"domain_scores_gemma":[0.9992099,0.000030224828,0.00022870877,0.00043481123,0.0000309004,0.00006549748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028352006,0.00016460981,0.00024745945,0.00043899124,0.00024644125,0.0000455153,0.00025194528,0.00032745476,0.0002922687],"category_scores_gemma":[0.00008778361,0.00016173787,0.00003502465,0.0003467261,0.00048150792,0.00025317783,0.00012429796,0.00040233004,0.0003887264],"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":[0.000011158527,0.00004858029,0.045978557,0.000010932825,0.000035185556,0.0000016654864,0.00026273675,6.085451e-7,0.0019569215,0.9482566,0.0021929746,0.001244038],"study_design_scores_gemma":[0.0006395199,0.00020905216,0.06267214,0.00004619921,0.000008504284,0.000013551932,0.000057981422,0.00049048633,0.007966488,0.78103065,0.14653634,0.00032909928],"about_ca_topic_score_codex":0.00018402367,"about_ca_topic_score_gemma":0.000025649353,"teacher_disagreement_score":0.167226,"about_ca_system_score_codex":0.000041296862,"about_ca_system_score_gemma":0.00003422798,"threshold_uncertainty_score":0.6595479},"labels":[],"label_agreement":null},{"id":"W2284887755","doi":"10.4236/ti.2016.71003","title":"Research on the Relationship of Innovation Capability and Operating Performance Based on Moderation of Openness","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":8,"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":"Chinese Aeronautical Establishment; Government of Jiangsu Province","keywords":"Openness to experience; Moderation; Absorptive capacity; Business; Industrial organization; Positive relationship; Open innovation; Knowledge management; Computer science; Marketing; Psychology","score_opus":0.29533638641712506,"score_gpt":0.4163774195209348,"score_spread":0.12104103310380976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284887755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861531,0.000005476395,0.0008214568,0.008449568,0.000020923992,0.0002249646,0.0000029092241,0.000011134518,0.0043104542],"genre_scores_gemma":[0.9989224,0.0000011177275,0.00048349032,0.00039539288,0.0000041304143,0.000025268688,8.085572e-7,0.0000024139274,0.00016494737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99867314,0.0001539325,0.00047458534,0.0001996283,0.00040777322,0.000090959074],"domain_scores_gemma":[0.9973696,0.0014724466,0.00018651396,0.00030629383,0.00065506453,0.0000101216865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052531706,0.000055299748,0.00010736892,0.00081910647,0.0002945223,0.000018120776,0.0001470504,0.000093156435,0.000045294833],"category_scores_gemma":[0.0062399106,0.000026666545,0.00000615234,0.0018798689,0.0005737106,0.0001122041,0.00007160504,0.00014657316,0.000004302072],"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":[0.000023053526,0.000034440898,0.052790947,0.0000049519963,0.0000011246641,4.303822e-8,0.00009084467,0.00005436761,0.006201143,0.9286932,0.000088473156,0.012017446],"study_design_scores_gemma":[0.00084921595,0.0009246173,0.32434812,0.00018128258,0.000003998148,0.0000019926092,0.0012111702,0.06559486,0.13982712,0.46671522,0.0002270748,0.00011533832],"about_ca_topic_score_codex":0.0000025041888,"about_ca_topic_score_gemma":0.0000018680702,"teacher_disagreement_score":0.46197796,"about_ca_system_score_codex":0.000021172102,"about_ca_system_score_gemma":0.00004742416,"threshold_uncertainty_score":0.74702066},"labels":[],"label_agreement":null},{"id":"W2287680058","doi":"10.4236/ti.2016.71002","title":"Research on XBRL Domain Ontology Construction","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","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":"XBRL; Computer science; Business reporting; Ontology; XML; Markup language; Domain (mathematical analysis); Metadata; Software engineering; Data science; Database; World Wide Web","score_opus":0.035750260902870916,"score_gpt":0.29068039508583193,"score_spread":0.254930134182961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287680058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9149911,0.00009279865,0.00008220292,0.0136408275,0.00023366978,0.0001286866,4.0378137e-7,0.00021281319,0.07061751],"genre_scores_gemma":[0.99705607,0.000014575146,0.0004264926,0.0016080333,0.00020359826,0.00004301866,0.0000010338665,0.000008806593,0.0006383948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99911624,0.000011424834,0.0001771447,0.00027085815,0.00013029017,0.00029406496],"domain_scores_gemma":[0.9995533,0.00004004757,0.000095604635,0.00021864333,0.000083373154,0.000009012188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051538687,0.00009195414,0.00012748098,0.000723148,0.0002434278,0.000022837163,0.00010524243,0.00018967473,0.00005738729],"category_scores_gemma":[0.00022842857,0.000060901668,0.00001793116,0.00045789478,0.00069113815,0.00013996389,0.00012460316,0.0001663298,0.0003640052],"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":[0.000021406302,0.000029610637,0.0092089325,0.000008538925,0.000007621244,0.000017714245,0.0000046407176,6.0156225e-8,0.0015231377,0.9497848,0.0031968004,0.036196694],"study_design_scores_gemma":[0.00035383378,0.00007071658,0.0061421744,0.000048431764,0.0000051164984,0.000019325393,0.00015484782,0.0000032978803,0.0012656446,0.72015446,0.27169344,0.0000887216],"about_ca_topic_score_codex":0.000039099436,"about_ca_topic_score_gemma":0.000035187197,"teacher_disagreement_score":0.26849663,"about_ca_system_score_codex":0.00003910831,"about_ca_system_score_gemma":0.00001981284,"threshold_uncertainty_score":0.46786717},"labels":[],"label_agreement":null},{"id":"W2333034002","doi":"","title":"Do Redistributive Policies Affect Economic Growth? ——An Empirical Study based on Canadian data","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Fiscal Policy and Economic Growth","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":"Economics; Panel data; Statistic; Affect (linguistics); Inequality; Economic inequality; Public economics; Demographic economics; Econometrics","score_opus":0.05699526663252189,"score_gpt":0.2772491802717231,"score_spread":0.2202539136392012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333034002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94796646,0.00014592886,0.0000135986065,0.010830882,0.00016014876,0.0006143633,0.00067716895,0.00009629252,0.03949518],"genre_scores_gemma":[0.9949099,0.0000063535754,0.000110479144,0.00458611,0.000083281266,0.0001195883,0.00010426656,0.000019684678,0.00006036233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99832904,0.000026340897,0.0004104119,0.0007284774,0.000017838589,0.00048786655],"domain_scores_gemma":[0.99854606,0.00004462033,0.00013501999,0.0009910252,0.00001050715,0.00027277163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037547466,0.00022381291,0.00039463848,0.0008349751,0.0002231544,0.00009149862,0.00061112404,0.00025254532,0.00025758354],"category_scores_gemma":[0.00010434071,0.00023678497,0.000031461466,0.00018042054,0.0002788153,0.00033100214,0.0001823155,0.0002560308,0.0011335042],"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":[0.0000073435103,0.0001742039,0.4281947,0.000005229996,0.000049531627,0.0000033022188,0.00016400208,0.000006259836,8.790312e-7,0.5581203,0.013061308,0.00021295979],"study_design_scores_gemma":[0.001035616,0.0012246335,0.40251598,0.000008788864,0.000013461462,0.000005851709,0.0005791885,0.008848849,0.000058563244,0.5746971,0.010555244,0.00045676957],"about_ca_topic_score_codex":0.034099247,"about_ca_topic_score_gemma":0.0070709945,"teacher_disagreement_score":0.046943437,"about_ca_system_score_codex":0.0003336633,"about_ca_system_score_gemma":0.00007458923,"threshold_uncertainty_score":0.9996442},"labels":[],"label_agreement":null},{"id":"W2346395833","doi":"10.4236/ti.2016.72004","title":"Research on the Relationship among M&amp;amp;A Behavior, Investment Efficiency and Firm Value—Empirical Evidence from A Shares of Listed Corporations","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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); Investment (military); Corporation; Business; Enterprise value; Empirical evidence; Mergers and acquisitions; Positive correlation; Empirical research; Industrial organization; Microeconomics; Monetary economics; Economics; Finance","score_opus":0.25914444805869374,"score_gpt":0.34961935182032583,"score_spread":0.09047490376163209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346395833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98662955,0.0007503481,0.0001792957,0.011093684,0.000052810377,0.000478357,0.000017906634,0.000071459566,0.00072662183],"genre_scores_gemma":[0.99761456,0.00009524112,0.00021067528,0.0013042343,0.000053571508,0.0002063412,0.000008565276,0.00001052556,0.0004962905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998788,0.00004295303,0.00028038194,0.00036754317,0.00029270854,0.0002284251],"domain_scores_gemma":[0.9985296,0.00058092555,0.00025461297,0.00047796973,0.00013956446,0.00001730175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005537557,0.00014536119,0.00016723346,0.0003463278,0.0003724301,0.00005299754,0.00025750563,0.00016114849,0.00006918246],"category_scores_gemma":[0.00092131237,0.00008750855,0.000026654923,0.0009264319,0.0011014806,0.00039760617,0.0002482634,0.000220501,0.000088082284],"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":[0.000020068528,0.000092278664,0.616331,0.0000128393585,0.000007241442,0.000002445453,0.000044365977,0.0000023127768,0.0008750716,0.37604392,0.006213463,0.00035500686],"study_design_scores_gemma":[0.00029643773,0.000057015626,0.876523,0.00044926617,0.000032628475,0.0000011618189,0.000057427817,0.000059375598,0.00022184236,0.11049219,0.011686876,0.0001227643],"about_ca_topic_score_codex":0.00042867963,"about_ca_topic_score_gemma":0.00040187602,"teacher_disagreement_score":0.26555172,"about_ca_system_score_codex":0.000046797883,"about_ca_system_score_gemma":0.00004364919,"threshold_uncertainty_score":0.4058451},"labels":[],"label_agreement":null},{"id":"W2346784412","doi":"10.4236/ti.2016.72005","title":"Research on Innovation of Science and Technology Investment and Financing of SMEs in Intellectual Property","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","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":"Intellectual property; Investment (military); Finance; Business; Core (optical fiber); Focus (optics); Political science; Law","score_opus":0.04188372970961422,"score_gpt":0.27667209525186287,"score_spread":0.23478836554224863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346784412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99204546,0.00030394728,0.000007770818,0.0035358132,0.000020063837,0.00018099081,5.564615e-7,0.000024548512,0.003880865],"genre_scores_gemma":[0.9990009,0.00016284324,0.00008630937,0.000535419,0.000012708892,0.000027892238,5.429451e-7,0.000004694682,0.00016866613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902606,0.000007019379,0.00027450424,0.00026544544,0.00020355989,0.0002233948],"domain_scores_gemma":[0.99922895,0.00007345903,0.000102146376,0.00016151123,0.00042767535,0.0000062510003],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009499605,0.000097636585,0.0001933482,0.0050724894,0.00013988858,0.000014663061,0.00014832467,0.00015143324,0.00001830867],"category_scores_gemma":[0.0012414746,0.00005506373,0.000006382977,0.0049714223,0.0032652635,0.00031459244,0.0003640352,0.00019257977,0.00000635847],"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":[0.000052014577,0.000075680786,0.014759597,0.00010851847,0.000011914987,0.000001377873,0.00028890002,5.259826e-7,0.045180228,0.90449077,0.00041103858,0.03461945],"study_design_scores_gemma":[0.0017726611,0.0016352724,0.012105908,0.0011512634,0.000038764465,0.000014284133,0.008388095,0.0021097907,0.38844606,0.56373686,0.020136578,0.0004644683],"about_ca_topic_score_codex":0.00007215856,"about_ca_topic_score_gemma":0.0000353945,"teacher_disagreement_score":0.34326583,"about_ca_system_score_codex":0.000042286985,"about_ca_system_score_gemma":0.00005771944,"threshold_uncertainty_score":0.9994473},"labels":[],"label_agreement":null},{"id":"W2399168491","doi":"10.4236/ti.2016.72006","title":"Funding of Agricultural Research and Development in Ghana: The Case of Council for Scientific and Industrial Research (CSIR)","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","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":"Agriculture; Capital expenditure; Government (linguistics); Investment (military); Nonprobability sampling; Agricultural economics; Poverty; Business; Economic growth; Public expenditure; Economics; Political science; Finance; Geography; Public finance","score_opus":0.34008564423828824,"score_gpt":0.3336477470536031,"score_spread":0.006437897184685126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399168491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99533105,0.0007061802,0.00000633225,0.003101357,0.000078940255,0.00047650165,0.000003400991,0.000012250283,0.0002839818],"genre_scores_gemma":[0.99959314,0.000016771926,0.000093394665,0.000028739354,0.00005541378,0.0000596137,0.0000017440357,0.0000039035212,0.00014729159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989896,0.000021499915,0.00022984424,0.00023759212,0.0002260438,0.00029543033],"domain_scores_gemma":[0.9992046,0.00018510155,0.00007678764,0.0001382592,0.00038326767,0.000012030773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003979343,0.00007591688,0.00013988215,0.0005297812,0.0004064893,0.00005839931,0.00014916736,0.00014007799,0.0000047247613],"category_scores_gemma":[0.00068308617,0.00004096046,0.00000875456,0.0006628277,0.0017070262,0.00022690569,0.0005627467,0.00019130117,0.0000014641317],"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":[0.000073937474,0.00009959091,0.010811668,0.00015660613,0.000027876662,0.0000163089,0.00043616892,7.1880336e-8,0.014999504,0.9580249,0.0019445613,0.013408777],"study_design_scores_gemma":[0.012903464,0.0010943476,0.04477599,0.0016352645,0.000074721574,0.00024116265,0.0478141,0.00011897864,0.10529385,0.60371864,0.18143998,0.00088952464],"about_ca_topic_score_codex":0.00006438784,"about_ca_topic_score_gemma":0.00027356617,"teacher_disagreement_score":0.3543063,"about_ca_system_score_codex":0.00008000213,"about_ca_system_score_gemma":0.000089727866,"threshold_uncertainty_score":0.6289609},"labels":[],"label_agreement":null},{"id":"W2497473084","doi":"10.4236/ti.2016.73009","title":"Research on the Relationship between Debt Financing and Operating Performance Based on Mediation of Diversification","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"National Natural Science Foundation of China","keywords":"Diversification (marketing strategy); Debt; Business; Debt financing; Finance; China; Financial system; Stock (firearms); Agriculture; Internal debt; Mediation; Economics; Monetary economics","score_opus":0.08283253320565741,"score_gpt":0.2699738584493866,"score_spread":0.18714132524372917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2497473084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866528,0.000025841378,0.00014039788,0.011884886,0.000016912833,0.00015701278,0.00000202534,0.000024170995,0.0010959695],"genre_scores_gemma":[0.9991734,0.000012465907,0.00005297633,0.000616068,0.00003785413,0.000026082376,0.0000021720966,0.000003948658,0.000075011216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995008,0.000011600388,0.00011088581,0.00014372575,0.0001289635,0.00010403711],"domain_scores_gemma":[0.9994012,0.0002726473,0.00011146808,0.00015637836,0.000054808843,0.0000035101734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004997194,0.00005796152,0.00006865773,0.00023401169,0.0002820815,0.0000140640805,0.00008505412,0.000067930094,0.0000055225487],"category_scores_gemma":[0.00031953663,0.000034154626,0.0000065605827,0.00039240564,0.00018017243,0.00020418603,0.000045706045,0.000112571506,0.000021148124],"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":[0.000007902632,0.000008746793,0.6066045,0.000018442364,0.0000014576705,1.6531051e-7,0.000009060551,0.000013065036,0.00012683787,0.3893042,0.00020298857,0.003702615],"study_design_scores_gemma":[0.00027268907,0.00006711694,0.97667015,0.00012297356,0.000007856442,8.264908e-8,0.00005080748,0.0013426758,0.0013478157,0.019268556,0.00079699414,0.000052297957],"about_ca_topic_score_codex":0.00001446807,"about_ca_topic_score_gemma":0.0000036573922,"teacher_disagreement_score":0.3700656,"about_ca_system_score_codex":0.000022875805,"about_ca_system_score_gemma":0.000012837488,"threshold_uncertainty_score":0.21695715},"labels":[],"label_agreement":null},{"id":"W2501739669","doi":"10.4236/ti.2016.73008","title":"The Baetylus Theorem—The Central Disconnect Driving Consumer Behavior and Investment Returns in Wearable Technologies","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":15,"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":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Wearable computer; Wearable technology; Purchasing; Perspective (graphical); Marketing; Investment (military); Business; Computer science; Artificial intelligence; Political science","score_opus":0.009889676197765183,"score_gpt":0.19149335822097188,"score_spread":0.1816036820232067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501739669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829677,0.0012632752,0.00000678611,0.0098186815,0.00014209401,0.0004359857,0.0000016779003,0.00021330615,0.0051505463],"genre_scores_gemma":[0.99776864,0.0005265853,0.000045802833,0.0012364571,0.000030412033,0.00015020667,0.000001428456,0.000014113794,0.00022633113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989215,0.0000026302432,0.00025889216,0.00029030515,0.00006515811,0.00046150078],"domain_scores_gemma":[0.9994257,0.00008021918,0.00012655038,0.00033862778,0.000016173415,0.000012749189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028336348,0.00019062705,0.00018006098,0.00021059986,0.000349956,0.00030501865,0.00029077314,0.00015619767,0.000011480575],"category_scores_gemma":[0.00013902909,0.000089581554,0.00002831793,0.00022757784,0.0011749563,0.0012227972,0.00050215155,0.0001681082,0.00002835147],"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":[0.000009874824,0.000030573545,0.058287617,0.000008233541,0.000018988441,0.000005669135,0.000019975892,2.926462e-7,0.00022285535,0.9101865,0.00032587198,0.030883512],"study_design_scores_gemma":[0.00078271393,0.00005079379,0.020934675,0.0001172966,0.0000402217,0.000019369392,0.0032577566,0.00011447072,0.00075288315,0.92482895,0.048823368,0.00027749813],"about_ca_topic_score_codex":0.000054367818,"about_ca_topic_score_gemma":0.0004818466,"teacher_disagreement_score":0.048497498,"about_ca_system_score_codex":0.000050728413,"about_ca_system_score_gemma":0.000014753622,"threshold_uncertainty_score":0.43291754},"labels":[],"label_agreement":null},{"id":"W2507956124","doi":"10.4236/ti.2016.73011","title":"Quantitative and Qualitative Study of Phenolic Compounds Involved in Germination Inhibition of Wheat under Water Deficit","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Allelopathy and phytotoxic interactions","field":"Agricultural and Biological Sciences","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":"Université Cadi Ayyad","keywords":"Germination; Salicylic acid; Polyphenol; Ferulic acid; Chemistry; Phenolic acid; Cultivar; Horticulture; Water stress; PEG ratio; Biology; Food science; Biochemistry","score_opus":0.03789960844996804,"score_gpt":0.2901563418480104,"score_spread":0.2522567333980424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507956124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99844307,0.00007393582,0.000007246675,0.001063229,0.000013884633,0.00019329615,0.000008144317,0.000012605091,0.00018456412],"genre_scores_gemma":[0.99981683,0.0000193072,0.00004613526,0.000055436958,0.000003030589,0.000029062196,0.0000050645954,4.0795922e-7,0.000024726807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947184,0.00008663367,0.00018391269,0.00012536251,0.00005148848,0.00008078544],"domain_scores_gemma":[0.9997379,0.00011560718,0.00006434071,0.000026749209,0.000042909116,0.0000124621065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014855295,0.00006275514,0.00012988319,0.00006572218,0.000048476762,0.00000233382,0.000029737279,0.000093340335,0.000021824635],"category_scores_gemma":[0.000013959889,0.000020991305,0.000009681362,0.00014184491,0.00020824857,0.00008596833,0.000038919046,0.00006236698,0.0000012197681],"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":[0.000059258135,0.00039247161,0.0050029317,0.0000072333864,0.000017378534,7.023462e-7,0.0129252765,2.9051677e-7,0.8464213,0.1338201,0.000006997294,0.0013460742],"study_design_scores_gemma":[0.0012654073,0.005023514,0.086387604,0.00015678718,0.000021859125,0.000004566647,0.24162069,0.000018439068,0.3336018,0.331619,0.00008453037,0.00019579766],"about_ca_topic_score_codex":0.00007379652,"about_ca_topic_score_gemma":0.000659298,"teacher_disagreement_score":0.51281947,"about_ca_system_score_codex":0.000016256881,"about_ca_system_score_gemma":0.0000021725737,"threshold_uncertainty_score":0.08560006},"labels":[],"label_agreement":null},{"id":"W2509597262","doi":"10.4236/ti.2016.73010","title":"Open Innovation and Involvement of End-Users in the Medical Device Technologies’ Design &amp;amp; Development Process: End-Users’ Perspectives","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":10,"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 de Montréal; Polytechnique Montréal","funders":"","keywords":"Process (computing); End user; Business; Process management; Standardization; Perspective (graphical); Knowledge management; Medicine; Computer science; World Wide Web","score_opus":0.06404301534042635,"score_gpt":0.3055821288629828,"score_spread":0.24153911352255647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509597262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90336585,0.0010558435,0.07408985,0.019765172,0.000062502804,0.00078647083,8.8171953e-7,0.00029890143,0.00057452725],"genre_scores_gemma":[0.9311127,0.00012647234,0.06760172,0.00092495047,0.0000071019085,0.00019074077,0.0000014418532,0.000007820799,0.000027052223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998183,0.000082922714,0.00046785944,0.00056689966,0.00035469947,0.0003445811],"domain_scores_gemma":[0.9989142,0.00017603741,0.00020036864,0.00055819936,0.000114435024,0.000036774178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015291497,0.0002092101,0.00026038397,0.0006784246,0.00017853288,0.000070052454,0.0017847465,0.00024224534,0.0000139798985],"category_scores_gemma":[0.0003826082,0.00012505666,0.000012256678,0.0014786558,0.0005624081,0.0003728422,0.0013975425,0.00023328797,0.000006050062],"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":[0.000016408458,0.00022686423,0.010786149,0.000039980332,0.000059625698,0.000010392853,0.00973089,0.0000030329613,0.0015724738,0.85822785,0.00037708675,0.118949234],"study_design_scores_gemma":[0.006762084,0.001086894,0.03366651,0.0018973384,0.000052424686,0.00032154823,0.036131065,0.0011808455,0.10363947,0.7389923,0.074528836,0.0017407082],"about_ca_topic_score_codex":0.000031460153,"about_ca_topic_score_gemma":0.00010695393,"teacher_disagreement_score":0.119235575,"about_ca_system_score_codex":0.00010227445,"about_ca_system_score_gemma":0.00027239212,"threshold_uncertainty_score":0.50996625},"labels":[],"label_agreement":null},{"id":"W2514142117","doi":"10.4236/ti.2016.73012","title":"An International Trade Model with Entrepreneurs and Financial Markets","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic theories and models","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":"Production (economics); Welfare; Economics; Financial market; International economics; International market; International trade; Business; Finance; Macroeconomics; Market economy","score_opus":0.011973434536596913,"score_gpt":0.1904377477095495,"score_spread":0.17846431317295258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514142117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832614,0.00035673525,0.003446148,0.006083927,0.00007321572,0.00008923047,0.00006948867,0.000055236047,0.006564613],"genre_scores_gemma":[0.99694806,0.00034945004,0.0016055946,0.00073804747,0.000018962293,0.000022986143,0.00000217659,0.000007676345,0.00030703223],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99939173,0.000002781059,0.00016302141,0.0002978126,0.00000902139,0.00013565157],"domain_scores_gemma":[0.99968064,0.000008440477,0.00007525989,0.00018382333,0.000002577707,0.00004926729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009498307,0.00008868567,0.00014395016,0.00016227663,0.00004937357,0.00001428647,0.00010970071,0.000100236175,0.00003496145],"category_scores_gemma":[0.00001331732,0.00006955266,0.0000115439925,0.00003616924,0.00022085819,0.00020337386,0.00004349198,0.000048993094,0.0000059799063],"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":[0.000028758575,0.000028108207,0.021656202,0.0000018116419,0.000014038676,0.0000014020156,0.00007720662,0.000008879882,0.00007797703,0.9747004,0.00009951515,0.0033056817],"study_design_scores_gemma":[0.0009766535,0.00017926829,0.012294826,0.000013247877,0.0000043191635,0.000021723004,0.000030013054,0.0032538879,0.00068019785,0.9623904,0.019971147,0.00018426828],"about_ca_topic_score_codex":0.0000024724454,"about_ca_topic_score_gemma":0.00000406555,"teacher_disagreement_score":0.019871632,"about_ca_system_score_codex":0.000026483402,"about_ca_system_score_gemma":0.00000918469,"threshold_uncertainty_score":0.28362754},"labels":[],"label_agreement":null},{"id":"W2516509108","doi":"10.4236/ti.2016.73013","title":"Assessment of Renal Function among HIV-Infected Patients on Combination Antiretroviral Therapy at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":16,"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":"Addis Ababa University","keywords":"Medicine; Immunosuppression; Human immunodeficiency virus (HIV); Internal medicine; Antiretroviral therapy; Cross-sectional study; Disease; Renal function; Retrospective cohort study; Immunology; Viral load; Pathology","score_opus":0.010995089270691368,"score_gpt":0.276361582805007,"score_spread":0.26536649353431563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516509108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99320555,0.00010401908,0.00012808516,0.0015886722,0.00011879643,0.00090554287,0.0000236008,0.00013363957,0.0037920773],"genre_scores_gemma":[0.9982687,0.00028042053,0.00017987542,0.0002762847,0.000016179029,0.00012718244,0.00013569591,0.0000152237735,0.0007004144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893945,0.00004556174,0.00032497384,0.00030349375,0.00018726478,0.00019924546],"domain_scores_gemma":[0.99917156,0.00003839031,0.00023056251,0.00032606866,0.00015344808,0.000079991696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071664625,0.00016607213,0.00027879368,0.00038902787,0.00016504122,0.0000041566236,0.00005345797,0.00027467075,0.0001230953],"category_scores_gemma":[0.000033923014,0.0001104684,0.00004642471,0.0002942375,0.00027161182,0.000074835654,0.000041044896,0.00015630866,0.000033174234],"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":[0.00018720163,0.0014429018,0.92021346,0.000015855474,0.00013716459,0.000003834411,0.000046167763,9.6750604e-8,0.0012656169,0.06224131,0.0012700001,0.013176373],"study_design_scores_gemma":[0.007896161,0.0084496355,0.97520226,0.00020701948,0.00006731875,0.0000022207907,0.000010866819,0.00003286361,0.0024485642,0.0032757127,0.0022994045,0.00010796436],"about_ca_topic_score_codex":0.000013647457,"about_ca_topic_score_gemma":0.0000030639796,"teacher_disagreement_score":0.058965597,"about_ca_system_score_codex":0.00027052502,"about_ca_system_score_gemma":0.00005189985,"threshold_uncertainty_score":0.45047703},"labels":[],"label_agreement":null},{"id":"W2547035366","doi":"10.4236/ti.2016.74015","title":"Relationship between Logistics and Economic Growth on the Silk Road Economic Belt—Taking Xi’an as an Example","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","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":"Granger causality; Unit root test; Investment (military); Government (linguistics); Economics; SILK; Unit root; Business; Cointegration; Econometrics; Computer science","score_opus":0.08471005250502288,"score_gpt":0.2676748268413542,"score_spread":0.1829647743363313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547035366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96771735,0.000034178043,0.00010797695,0.025290485,0.00007897585,0.0002249427,0.000006439054,0.00033732786,0.006202321],"genre_scores_gemma":[0.99612015,0.000011873849,0.00015163096,0.0033431356,0.0001887059,0.000056817644,0.00002627687,0.00001933867,0.000082085324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990735,0.00001396754,0.00026007864,0.00036922185,0.000040753337,0.00024247551],"domain_scores_gemma":[0.99913085,0.00014473614,0.00022846596,0.00045662693,0.000024530957,0.000014816483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003304396,0.00017792311,0.00017407745,0.0005353127,0.0005052673,0.00007524601,0.00028890153,0.00028357547,0.000076806566],"category_scores_gemma":[0.00013597406,0.00012175306,0.00001749446,0.00016409533,0.00076828443,0.000551807,0.00019894323,0.0002281424,0.0002519809],"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":[0.0000031056732,0.00001531773,0.30958748,0.000003929131,0.000013901159,8.328501e-7,0.000011861364,5.225357e-7,0.000031873245,0.6875298,0.0002801588,0.0025211954],"study_design_scores_gemma":[0.00034544407,0.000094307805,0.23644918,0.000019454428,0.000043591863,0.000004623667,0.00027940224,0.00008298323,0.00025348424,0.75708866,0.005152386,0.00018648335],"about_ca_topic_score_codex":0.0008334061,"about_ca_topic_score_gemma":0.00035620306,"teacher_disagreement_score":0.07313828,"about_ca_system_score_codex":0.000061397535,"about_ca_system_score_gemma":0.000020832904,"threshold_uncertainty_score":0.49649456},"labels":[],"label_agreement":null},{"id":"W2580314701","doi":"10.4236/ti.2017.81002","title":"The Impact of Tangible and Intangible Innovation Activities on the New Product Objectives in Three Phases of the Innovation Process: Case of the Fish Industry—Morocco","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","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":"Business; Process (computing); Context (archaeology); Product (mathematics); Product innovation; Process management; Fish <Actinopterygii>; New product development; Production (economics); Innovation management; Innovation process; Marketing; Industrial organization; Knowledge management; Computer science; Work in process; Economics; Fishery","score_opus":0.028808878595333355,"score_gpt":0.27875216778433487,"score_spread":0.24994328918900152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580314701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99162614,0.00010868888,0.0000017247552,0.0053060544,0.000049214203,0.0004224973,0.0000042625043,0.000010765239,0.0024706686],"genre_scores_gemma":[0.99968255,0.000009086753,0.0000036608196,0.0002036347,0.000031717354,0.000025854231,7.216485e-7,0.00000433248,0.0000384664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99945515,0.000011808466,0.00020990326,0.00012458819,0.00009070629,0.00010784937],"domain_scores_gemma":[0.99897176,0.000037608832,0.000495219,0.0003697754,0.00012362326,0.0000020223122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026670154,0.00010150411,0.00012970952,0.00019831459,0.00034256652,0.000045163742,0.0002963077,0.000085036525,0.0000044260905],"category_scores_gemma":[0.00037166002,0.000044825156,0.000020724907,0.00120739,0.00067091227,0.0002911801,0.00019835509,0.00020678,9.000637e-8],"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":[0.000046171128,0.00008921033,0.24218251,0.000048651465,0.000045428988,0.00000108604,0.00011445647,0.000015671812,0.003377003,0.749755,0.00013275114,0.0041920273],"study_design_scores_gemma":[0.00063015794,0.00010752809,0.48614857,0.00033651892,0.00003353131,0.0000187644,0.0029022393,0.000093846684,0.11455268,0.39467022,0.00039889553,0.0001070554],"about_ca_topic_score_codex":0.00071380235,"about_ca_topic_score_gemma":0.00041172098,"teacher_disagreement_score":0.3550848,"about_ca_system_score_codex":0.000017984192,"about_ca_system_score_gemma":0.000068747984,"threshold_uncertainty_score":0.26347792},"labels":[],"label_agreement":null},{"id":"W2589724354","doi":"10.4236/ti.2017.81005","title":"The Evolution of E-Commerce Payment","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","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":"Payment; Normative; Business; Market microstructure; Microeconomics; Industrial organization; Order (exchange); Economics; Finance; Law","score_opus":0.013700833779822138,"score_gpt":0.20515191176703096,"score_spread":0.1914510779872088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589724354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9168076,0.00016187842,0.000014507408,0.002355672,0.00011518249,0.00007945308,2.5029348e-7,0.000030920215,0.08043452],"genre_scores_gemma":[0.99915415,0.000017197588,0.000025514239,0.00046056142,0.00004149995,0.000009766957,9.819497e-7,0.000003390562,0.000286922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996734,1.6488242e-7,0.000108786364,0.0000821828,0.000029265644,0.00010615973],"domain_scores_gemma":[0.9995248,0.0000053402323,0.00016150845,0.00028755146,0.000017288105,0.0000035182832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011266718,0.000054250573,0.000072068025,0.000072858806,0.00043105285,0.00017725228,0.00021447513,0.00004823379,0.000004901918],"category_scores_gemma":[0.000038489634,0.000035709738,0.000016253918,0.000033421937,0.00030336215,0.00080292794,0.00024469054,0.000045922487,0.000035017987],"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":[0.000004766935,0.000013742239,0.012047765,0.000008138959,0.000010018016,2.5201282e-7,0.0000022138693,5.9436815e-7,0.000040394254,0.9741688,0.00065269956,0.013050633],"study_design_scores_gemma":[0.00020977753,0.000020087602,0.027746823,0.000012530089,0.000010631541,9.939396e-7,0.00045604885,0.00039485816,0.00014320549,0.90364295,0.06729621,0.00006590987],"about_ca_topic_score_codex":0.0001307381,"about_ca_topic_score_gemma":0.00006684333,"teacher_disagreement_score":0.08234655,"about_ca_system_score_codex":0.000020022682,"about_ca_system_score_gemma":0.0000053901554,"threshold_uncertainty_score":0.33153537},"labels":[],"label_agreement":null},{"id":"W2590513492","doi":"10.4236/ti.2017.81006","title":"Investing on the CAPM Pricing Error","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","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":"Capital asset pricing model; Portfolio; Econometrics; Economics; Market portfolio; Investment (military); Financial economics","score_opus":0.061503665774776166,"score_gpt":0.23887182145290128,"score_spread":0.1773681556781251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590513492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7241637,0.0008583146,0.00001971886,0.01804279,0.0002036371,0.00019835077,0.0000073120605,0.00007370745,0.25643244],"genre_scores_gemma":[0.9937633,0.00008949633,0.00039195723,0.0045058616,0.000047193837,0.000061260354,0.0000010725093,0.000012192051,0.0011276528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999115,0.000007849254,0.00028184731,0.00031224277,0.000025106881,0.0002579382],"domain_scores_gemma":[0.9989301,0.000033275443,0.0003354115,0.00065100624,0.000010891985,0.000039340182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039554772,0.0001455145,0.00022844005,0.00020392085,0.0010329011,0.0001294226,0.00038644587,0.00013815472,0.00006461931],"category_scores_gemma":[0.0004537656,0.00011236974,0.00003480429,0.00009068558,0.000662716,0.00016884076,0.00016991205,0.00022593305,0.00014451404],"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":[0.0000033940782,0.00002194532,0.018693194,0.00000740452,0.000015969788,0.0000031320283,0.0000808125,8.71309e-7,0.000036126865,0.97920257,0.0014626724,0.00047190144],"study_design_scores_gemma":[0.00021509494,0.00015609375,0.058662903,0.00003938184,0.0000037326101,0.0000042376173,0.00013239785,0.00023691467,0.00052444433,0.884132,0.055727724,0.00016504028],"about_ca_topic_score_codex":0.00011016009,"about_ca_topic_score_gemma":0.00001397252,"teacher_disagreement_score":0.2695996,"about_ca_system_score_codex":0.000035735473,"about_ca_system_score_gemma":0.00001367917,"threshold_uncertainty_score":0.7944344},"labels":[],"label_agreement":null},{"id":"W2617402647","doi":"10.4236/ti.2017.82011","title":"Research on Selection of Technological Innovation Mode for Large and Medium-Sized Construction Enterprises in China","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"BIM and Construction Integration","field":"Engineering","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":"China; Selection (genetic algorithm); Mode (computer interface); Industrial organization; Business; Computer science; Political science","score_opus":0.024100001003872884,"score_gpt":0.3098014457884637,"score_spread":0.2857014447845908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617402647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99477303,0.00007510269,0.00254824,0.00074079423,0.000079826386,0.00026368813,0.000006590136,0.00012802618,0.0013847149],"genre_scores_gemma":[0.9977655,0.00010379206,0.0019533266,0.000014359303,0.000009549681,0.00013174843,0.0000040711216,0.0000050115805,0.000012647979],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994923,0.000012821961,0.00017235272,0.00013338627,0.00006314268,0.00012603814],"domain_scores_gemma":[0.99972254,0.000019877534,0.00006305129,0.00012583371,0.00005848709,0.000010223867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025484865,0.000069469876,0.00011477961,0.0007864893,0.00017174722,0.000015242978,0.00006662303,0.00026312494,0.0000054972934],"category_scores_gemma":[0.00013874978,0.0000621506,0.0000078305575,0.00026673,0.0004015475,0.000092166476,0.000028783556,0.00024130987,4.7189613e-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":[0.000034041364,0.000023159371,0.013016629,0.000026982098,0.000010786605,1.9148618e-7,0.000023071994,0.000010415781,0.015306053,0.9500364,0.00005209891,0.021460168],"study_design_scores_gemma":[0.001894952,0.0005173506,0.06665609,0.00014093833,0.000010418219,0.000034983495,0.0006748748,0.013299842,0.32674024,0.5875057,0.0023561327,0.00016851863],"about_ca_topic_score_codex":0.0000065836152,"about_ca_topic_score_gemma":0.000029810206,"teacher_disagreement_score":0.36253074,"about_ca_system_score_codex":0.000040881558,"about_ca_system_score_gemma":0.0000135487,"threshold_uncertainty_score":0.2534428},"labels":[],"label_agreement":null},{"id":"W2617402756","doi":"10.4236/ti.2017.82012","title":"Religious Belief and Firm R&amp;amp;D Investment","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Growth and Development","field":"Computer Science","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":"Investment (military); Risk aversion (psychology); Economics; Order (exchange); Microeconomics; Mechanism (biology); Investment decisions; Financial economics; Finance; Law; Expected utility hypothesis; Behavioral economics; Philosophy; Epistemology; Political science","score_opus":0.0207798625847786,"score_gpt":0.24093328062133776,"score_spread":0.22015341803655916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617402756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620827,0.0034318226,0.0025230038,0.015298662,0.00031670535,0.0003019989,0.0000020354366,0.00032835535,0.015714739],"genre_scores_gemma":[0.880418,0.0009139854,0.10590122,0.011034572,0.000033893113,0.00011925916,0.000004016478,0.000012802955,0.001562266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99888545,0.0000122956135,0.00022352076,0.0004846719,0.00007772217,0.00031635017],"domain_scores_gemma":[0.9986159,0.000018274623,0.00014420415,0.0010449536,0.000022453529,0.00015420277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019141754,0.00017876302,0.00020748659,0.00022269644,0.00053159555,0.00016445627,0.00067320594,0.00017540241,0.0000052868154],"category_scores_gemma":[0.000062164654,0.00016169055,0.000020294934,0.00007153563,0.00045237402,0.0002568997,0.0010290276,0.00015516786,0.00013752643],"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":[0.00000317494,0.000043890966,0.01634312,0.000013624852,0.000033190092,0.0000107587275,0.00040874828,2.7204564e-7,0.00023664258,0.9635909,0.009994452,0.009321214],"study_design_scores_gemma":[0.0006722543,0.000104051636,0.019880157,0.000029093115,0.000008377535,0.00010288153,0.00001905688,0.00010564451,0.0017386406,0.62821275,0.34883478,0.00029232752],"about_ca_topic_score_codex":0.00003396273,"about_ca_topic_score_gemma":0.000043858476,"teacher_disagreement_score":0.3388403,"about_ca_system_score_codex":0.000049037266,"about_ca_system_score_gemma":0.000060688966,"threshold_uncertainty_score":0.6593549},"labels":[],"label_agreement":null},{"id":"W2618351813","doi":"10.4236/ti.2017.82010","title":"Effect of Lactoperoxidase System on Microbiological and Quality Markers of Minimally Processed Lettuce","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","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":"Lactoperoxidase; Chlorine; Bacterial growth; Food science; Chemistry; Bacteria; Microorganism; Biology; Biochemistry; Peroxidase; Enzyme; Organic chemistry","score_opus":0.01834306956695493,"score_gpt":0.27992031878391804,"score_spread":0.2615772492169631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618351813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865466,0.00014159225,0.000004303411,0.0005069931,0.000011017137,0.00023890134,0.0000140269185,0.000034231678,0.00039426636],"genre_scores_gemma":[0.99951583,0.0000079214715,0.00036121643,0.00004439655,0.000002954899,0.000052227537,4.9549755e-7,0.000002562161,0.000012418852],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994248,0.00006118692,0.00019014283,0.00018359593,0.00004242263,0.00009782772],"domain_scores_gemma":[0.99934965,0.000096886026,0.00020236641,0.00030506638,0.000019905332,0.000026096894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052094477,0.00007679487,0.00022719818,0.00004224664,0.00012120946,0.000013714171,0.00016611398,0.00009508349,0.00000693353],"category_scores_gemma":[0.00014852233,0.00005043176,0.00001534288,0.00003351364,0.00069896464,0.000037109683,0.00008570011,0.000037381582,0.0000039166907],"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":[0.0001068592,0.00005060527,0.003327088,0.00017388038,0.0000053956555,4.5806655e-7,0.000010546845,7.985226e-8,0.9284025,0.067054026,0.00001224728,0.0008563437],"study_design_scores_gemma":[0.00032208973,0.0006358592,0.012852054,0.000084875086,0.000015031664,0.000002643898,0.000047323556,0.0000056568015,0.9856063,0.00030125232,0.00007768135,0.000049220296],"about_ca_topic_score_codex":0.000016161483,"about_ca_topic_score_gemma":0.0000022352924,"teacher_disagreement_score":0.06675277,"about_ca_system_score_codex":0.0000087628705,"about_ca_system_score_gemma":0.000009070623,"threshold_uncertainty_score":0.25753644},"labels":[],"label_agreement":null},{"id":"W2742990460","doi":"10.4236/ti.2017.83013","title":"The Corporate Financial Forecasting Based on Least Squares Support Vector Machines Methods","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","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":"Natural Science Foundation of Guangdong Province","keywords":"Support vector machine; Least squares support vector machine; Artificial neural network; Finance; Financial ratio; Computer science; Business; Econometrics; Economics; Artificial intelligence","score_opus":0.04473126866103215,"score_gpt":0.2705492113481138,"score_spread":0.22581794268708166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742990460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9436595,0.00025317425,0.0023463164,0.014244141,0.0017863533,0.0005939751,0.000016823617,0.00047774668,0.03662198],"genre_scores_gemma":[0.99682397,0.0000075008998,0.0007292424,0.0018032438,0.00034221544,0.000071494316,0.000013641662,0.00001269645,0.00019601086],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992407,0.000009958777,0.00017681616,0.00023706163,0.000097988726,0.00023746157],"domain_scores_gemma":[0.9991475,0.000024169187,0.0003787987,0.0003847197,0.000055721426,0.0000091268275],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00038627733,0.00015485793,0.00014896289,0.00016038747,0.0017521789,0.00026043088,0.00029418315,0.00013403302,0.000024118453],"category_scores_gemma":[0.0005394735,0.000105289735,0.000039828225,0.00012382961,0.00041610937,0.00025911248,0.00017616274,0.00017794449,0.000023412384],"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":[0.00006521643,0.000051548963,0.022852754,0.000041383388,0.000008743821,0.000014849618,0.0000056131494,0.000012781813,0.00019415272,0.8101167,0.0031995727,0.1634367],"study_design_scores_gemma":[0.0012915542,0.0002657872,0.3822597,0.00014914415,0.000089787965,0.00000621797,0.00005583103,0.08365948,0.0010030874,0.34287322,0.18789972,0.00044648667],"about_ca_topic_score_codex":0.00008807523,"about_ca_topic_score_gemma":0.000098816374,"teacher_disagreement_score":0.46724346,"about_ca_system_score_codex":0.000015636775,"about_ca_system_score_gemma":0.00002482595,"threshold_uncertainty_score":0.9995474},"labels":[],"label_agreement":null},{"id":"W2747578771","doi":"10.4236/ti.2017.83015","title":"Document Management and Process Automation in a Paperless Healthcare Institution","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Electronic Health Records Systems","field":"Health Professions","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":"Health care; Health informatics; Informatics; Business; Process (computing); Quality (philosophy); Medical prescription; Automation; Information technology; Service (business); Knowledge management; Process management; Medicine; Computer science; Nursing; Engineering; Marketing; Political science","score_opus":0.03584710333092402,"score_gpt":0.4209227706033604,"score_spread":0.3850756672724364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747578771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646449,0.0015826109,0.00004302656,0.02371324,0.00025704983,0.0019451074,0.0000017260847,0.0001736564,0.0076387003],"genre_scores_gemma":[0.9957709,0.0005973745,0.00037160664,0.0015335889,0.000029741948,0.0011957838,0.00000363076,0.000008992218,0.0004883963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985702,0.00012471482,0.00042156584,0.00031455877,0.000109888744,0.0004590436],"domain_scores_gemma":[0.99919015,0.00001798961,0.00027008532,0.00039824902,0.00003693532,0.000086591965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065388164,0.00012663705,0.00022804673,0.0003217857,0.0011823204,0.000013549925,0.00015677376,0.0003101146,0.000009866497],"category_scores_gemma":[0.00005036628,0.000112532456,0.000007642823,0.000120343124,0.00019621619,0.00018941802,0.00016449207,0.0004494806,0.000020798141],"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":[0.000019291563,0.000031143547,0.16262148,0.001513752,0.0000131625575,0.00001084227,0.0011567048,4.5344072e-7,0.00001490005,0.81034726,0.00014623436,0.024124749],"study_design_scores_gemma":[0.00405133,0.0005066632,0.57622874,0.0026442676,0.000026051403,0.00002589149,0.006293956,0.00055923074,0.00012887022,0.36540464,0.04374319,0.0003871519],"about_ca_topic_score_codex":0.00042185793,"about_ca_topic_score_gemma":0.0013247193,"teacher_disagreement_score":0.44494265,"about_ca_system_score_codex":0.00037605752,"about_ca_system_score_gemma":0.00017627956,"threshold_uncertainty_score":0.9093572},"labels":[],"label_agreement":null},{"id":"W2767683025","doi":"10.4236/ti.2017.84016","title":"Research on the Construction of Intellectual Property Operation Platform under the Background of “Internet +”","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Medical Research and Treatments","field":"Medicine","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":"Intellectual property; The Internet; Business; Intangible property; Linkage (software); Computer science; Computer security; World Wide Web","score_opus":0.21110339895759642,"score_gpt":0.40976856080870716,"score_spread":0.19866516185111074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767683025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738239,0.0001383585,0.000040621086,0.011774737,0.000027565353,0.0004169062,0.000001434788,0.0000078071425,0.013768641],"genre_scores_gemma":[0.9981868,0.00015644533,0.000105559506,0.00023042627,0.000012455041,0.000042314987,0.0000024665724,0.0000032766998,0.0012602174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932057,0.000040479896,0.00012915065,0.00011261477,0.00026252796,0.00013463575],"domain_scores_gemma":[0.9992303,0.0001873254,0.00005027771,0.00040202076,0.000089943635,0.00004011409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005342781,0.000054188855,0.000114900344,0.00012251223,0.00022125476,0.000012083293,0.00016010122,0.000096077645,0.00018804322],"category_scores_gemma":[0.0003651834,0.000019570447,0.000017416403,0.00006725731,0.0026587418,0.00003280537,0.00012400508,0.00031619036,0.000019135632],"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":[0.00024706265,0.00018327603,0.0015136377,0.000029078425,0.00013166867,0.0000038395947,0.00015683252,1.2599587e-7,0.0013769516,0.9859999,0.0019628091,0.008394864],"study_design_scores_gemma":[0.0056838663,0.0148653565,0.04108439,0.0010004364,0.00012270786,0.00023319887,0.026857102,0.0017535608,0.6186168,0.27635476,0.013248815,0.00017896839],"about_ca_topic_score_codex":0.00011124386,"about_ca_topic_score_gemma":0.00002386634,"teacher_disagreement_score":0.7096451,"about_ca_system_score_codex":0.00003757948,"about_ca_system_score_gemma":0.000092231145,"threshold_uncertainty_score":0.97962445},"labels":[],"label_agreement":null},{"id":"W2791789651","doi":"10.4236/ti.2018.91001","title":"The Effect of IFRS Adoption on Investment Management: A Review of the Literature","year":2018,"lang":"en","type":"review","venue":"Technology and Investment","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":12,"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":"Business; Listing (finance); Accounting; International Financial Reporting Standards; Investment (military); Empirical evidence; Foreign direct investment; Quality (philosophy); Finance; Economics","score_opus":0.00840018894068854,"score_gpt":0.23755775867511025,"score_spread":0.22915756973442172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791789651","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":[0.00012514158,0.97711456,0.000020609677,0.0006248829,0.00035756183,0.0027866936,0.000007957014,0.00009160919,0.018871006],"genre_scores_gemma":[0.00010549473,0.9951942,0.000042205607,0.002827048,0.00016365093,0.00048227469,0.000030055257,0.000044678556,0.0011103905],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99779946,0.00010409126,0.0008080289,0.0005229408,0.0004290678,0.00033642427],"domain_scores_gemma":[0.9853683,0.000102123195,0.013296491,0.0011359245,0.0000861737,0.000010976028],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010860012,0.0005350105,0.0011235351,0.00046167464,0.00030219354,0.00006162093,0.0010398782,0.00030539482,0.000019902069],"category_scores_gemma":[0.0014268999,0.00027363977,0.00034400716,0.0018640473,0.00073930353,0.00014796108,0.001134949,0.00054619065,0.000068961905],"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":[0.000008083038,0.000025429264,0.000033072014,0.12406377,0.00025817225,0.000003679199,0.000005431424,1.413575e-7,1.4223566e-7,0.36898905,0.01118865,0.4954244],"study_design_scores_gemma":[0.00020226261,0.000116923016,0.000031557287,0.14952762,0.0010754514,0.0000037034963,0.0000070944707,0.0000016821755,0.000007497828,0.003726045,0.8451101,0.0001900427],"about_ca_topic_score_codex":0.000005201326,"about_ca_topic_score_gemma":0.000002053195,"teacher_disagreement_score":0.83392143,"about_ca_system_score_codex":0.00008364604,"about_ca_system_score_gemma":0.000018059161,"threshold_uncertainty_score":0.99997157},"labels":[],"label_agreement":null},{"id":"W2792202250","doi":"10.4236/ti.2018.91004","title":"Study on the Efficiency and Total Factor Productivity of China’s Securities Companies—Based on Hicks-Moorsteen TFP Index Method","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","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":"Total factor productivity; Index (typography); Security market; Sample (material); Scope (computer science); China; Business; Productivity; Scale (ratio); Capital (architecture); Economics; Industrial organization; Finance; Monetary economics; Macroeconomics","score_opus":0.0641278728468186,"score_gpt":0.36657428997131847,"score_spread":0.3024464171244999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792202250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99281126,0.00013158015,0.0010872547,0.0038303877,0.000109249435,0.00052929536,0.000010610527,0.000070785034,0.0014195822],"genre_scores_gemma":[0.9991789,0.000001058513,0.00029273608,0.00033269337,0.00002398503,0.000023166243,3.0759276e-7,0.00000707497,0.00014006523],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9973792,0.0004690977,0.00044242197,0.0006831341,0.00078317715,0.00024297378],"domain_scores_gemma":[0.9978423,0.0007254829,0.0002725638,0.000962532,0.00015172618,0.000045401546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026195343,0.00020830464,0.00043737434,0.000845583,0.00043084522,0.000060949656,0.0005121418,0.00013402356,0.000044501514],"category_scores_gemma":[0.0015823431,0.00011731966,0.00004976658,0.0013735978,0.0018681273,0.000077666205,0.00024348631,0.0003008716,0.00001355822],"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":[0.0005573396,0.008306816,0.26214558,0.00004447852,0.00036322838,0.00002631672,0.033364337,0.0012733006,0.0045519,0.66256744,0.0014545505,0.025344735],"study_design_scores_gemma":[0.0016194041,0.011845236,0.7392077,0.000110699,0.00012482368,0.000025170659,0.017856186,0.044525713,0.045904264,0.13731346,0.0008491819,0.00061817985],"about_ca_topic_score_codex":0.000047347745,"about_ca_topic_score_gemma":0.000036873633,"teacher_disagreement_score":0.52525395,"about_ca_system_score_codex":0.000030444586,"about_ca_system_score_gemma":0.00005640957,"threshold_uncertainty_score":0.68831927},"labels":[],"label_agreement":null},{"id":"W2794311128","doi":"10.4236/ti.2018.91005","title":"The Weighting Factors to Improve Predictability on Twitter","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Web visibility and informetrics","field":"Computer Science","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":"Weighting; Predictability; Computer science; Principal (computer security); Sample (material); Order (exchange); Thematic map; Measure (data warehouse); Data mining; Social network analysis; Social network (sociolinguistics); Machine learning; Data science; Artificial intelligence; Social media; Computer security; Statistics; World Wide Web; Mathematics","score_opus":0.01646663031221706,"score_gpt":0.24927292813035615,"score_spread":0.23280629781813908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794311128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98356503,0.00004956797,0.0038662495,0.006145342,0.0003409088,0.00025243376,0.0000010671818,0.0002326268,0.0055467836],"genre_scores_gemma":[0.9918889,0.0000036377712,0.0036460357,0.004293437,0.00003108904,0.000021692425,1.9193538e-7,0.0000026741016,0.00011233262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99912465,0.000018578232,0.00017379991,0.00030333543,0.00012314861,0.00025646572],"domain_scores_gemma":[0.9990254,0.000099716344,0.000045492376,0.0007086959,0.00005167015,0.00006900003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029889334,0.00010082862,0.00008755769,0.00020148772,0.00039622115,0.00006597283,0.00051366835,0.00011301024,0.0000040731834],"category_scores_gemma":[0.00029404275,0.000059370464,0.000019781883,0.0006970867,0.00037621296,0.00014086442,0.00044760763,0.00016471582,0.00005613763],"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":[0.000008207656,0.00004552731,0.0071591483,0.0000039866845,0.000013049656,6.955947e-7,0.0008810074,2.6812805e-7,0.0007029846,0.93679154,0.0020328942,0.052360706],"study_design_scores_gemma":[0.00038492994,0.005632999,0.038917083,0.000025820518,0.000007927191,0.000008795064,0.0005759057,0.002841187,0.26684868,0.40190047,0.2824648,0.00039139946],"about_ca_topic_score_codex":0.0000062258123,"about_ca_topic_score_gemma":0.0000046657024,"teacher_disagreement_score":0.53489107,"about_ca_system_score_codex":0.000046182686,"about_ca_system_score_gemma":0.000027310447,"threshold_uncertainty_score":0.3047453},"labels":[],"label_agreement":null},{"id":"W2796356729","doi":"10.4236/ti.2018.92007","title":"Collaborative Evaluation for the Utah All Payer Claims Database Capacity Enhancement","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Healthcare Policy and Management","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":"Utah Department of Health","keywords":"Transparency (behavior); Process (computing); Process management; Best practice; Logic model; Computer science; Program evaluation; Engineering management; Database; Business; Engineering; Political science; Computer security","score_opus":0.09890178905994404,"score_gpt":0.326662791616508,"score_spread":0.22776100255656398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796356729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6730998,0.011918774,0.05163268,0.22007033,0.0017710113,0.008087942,0.0007457056,0.00024122422,0.032432534],"genre_scores_gemma":[0.9844599,0.00040636963,0.0030867574,0.010441736,0.00010567528,0.0010986448,0.00002594726,0.000008947391,0.00036603757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991045,0.000018860168,0.00029443798,0.00030366404,0.00003575509,0.00024279537],"domain_scores_gemma":[0.999328,0.000041506795,0.00015637366,0.0003527797,0.00008034244,0.000040957635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010744997,0.00010439949,0.00015859756,0.00018323092,0.0002549106,0.000019800418,0.00014106678,0.000102219,0.0001365308],"category_scores_gemma":[0.000120226156,0.00008625336,0.00002037238,0.0002454524,0.0003099401,0.00008740824,0.00008961233,0.0000886777,0.000113139504],"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":[0.000011965298,0.000044157678,0.00019549634,0.000015923684,0.00007313108,1.2212311e-7,0.00044764302,7.450286e-7,0.000051486448,0.9881521,0.006741925,0.004265302],"study_design_scores_gemma":[0.00044962845,0.00027509473,0.00040512532,0.0000072234743,0.000018339495,6.293956e-7,0.00020333266,0.002651344,0.0023706139,0.3840954,0.609427,0.00009632034],"about_ca_topic_score_codex":0.00018601488,"about_ca_topic_score_gemma":0.00019096638,"teacher_disagreement_score":0.6040567,"about_ca_system_score_codex":0.000113668786,"about_ca_system_score_gemma":0.000029468101,"threshold_uncertainty_score":0.351731},"labels":[],"label_agreement":null},{"id":"W2805997022","doi":"10.4236/ti.2018.92009","title":"Development of a Model with Critical Factors of Success, Predominant in Implementation of a Membrane System in the Wastewater Treatment—Review of the Case Study of a Dairy Industry","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","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":"Statistic; Reuse; Critical success factor; Computer science; Order (exchange); Process management; Wastewater; Operations management; Operations research; Risk analysis (engineering); Knowledge management; Business; Statistics; Engineering; Mathematics; Waste management","score_opus":0.049764533292584054,"score_gpt":0.32908490052117045,"score_spread":0.2793203672285864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805997022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983256,0.00016600185,0.000006155706,0.00014846651,0.000017550814,0.0012239662,0.00000878955,0.0000058365704,0.00009765044],"genre_scores_gemma":[0.99969715,0.000009101786,0.00013202877,0.00005344358,0.000004593333,0.00009241627,0.0000030628298,0.0000059845115,0.0000022207946],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99869335,0.000047649384,0.00082783453,0.00013360342,0.00017011518,0.00012744285],"domain_scores_gemma":[0.9991091,0.000029150919,0.0005096213,0.0002462289,0.0001002419,0.000005665651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044795306,0.00012698531,0.00039255753,0.00034418405,0.000040645504,0.000003990032,0.00015462692,0.00007152292,0.000017478902],"category_scores_gemma":[0.000023803914,0.000064383035,0.000024473793,0.0006005507,0.00024463123,0.00014307225,0.00008647021,0.000071345465,1.2653715e-7],"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":[0.00015950175,0.0024582446,0.8910814,0.015306728,0.0002956101,0.00003015065,0.026510816,0.000017789354,0.0071379384,0.055192985,0.00004708289,0.001761732],"study_design_scores_gemma":[0.0099343825,0.0019352816,0.10059828,0.009384233,0.0006440634,0.00011144474,0.69632894,0.0011269856,0.17906576,0.000400429,0.00011002641,0.00036013988],"about_ca_topic_score_codex":0.002131081,"about_ca_topic_score_gemma":0.0032748953,"teacher_disagreement_score":0.7904831,"about_ca_system_score_codex":0.00003937192,"about_ca_system_score_gemma":0.000080381884,"threshold_uncertainty_score":0.3221571},"labels":[],"label_agreement":null},{"id":"W2885862374","doi":"10.4236/ti.2018.93012","title":"Inquiry into FDI Pattern of China and the Economies along the Belt &amp;amp; Road","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Global Political and Economic Relations","field":"Social Sciences","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":"National Office for Philosophy and Social Sciences","keywords":"Foreign direct investment; China; Prosperity; Order (exchange); Investment (military); International trade; Business; Distribution (mathematics); International economics; Economics; Economic growth; Political science; Macroeconomics; Finance","score_opus":0.025883732787450618,"score_gpt":0.29086390522649,"score_spread":0.26498017243903943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885862374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414227,0.00059155695,0.000034106175,0.03755975,0.0001172703,0.00014967841,0.0000016249221,0.000027519107,0.020095788],"genre_scores_gemma":[0.9976813,0.00016836735,0.00008833576,0.0014935709,0.00008347836,0.000019440573,0.0000010809854,0.0000020053312,0.00046237162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995079,0.0000522999,0.00014629654,0.00010980298,0.00003143409,0.00015225237],"domain_scores_gemma":[0.9996717,0.000059776085,0.000055423967,0.00016389623,0.00001474503,0.000034442335],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00034937036,0.00005687858,0.00010934874,0.000040400922,0.0005252104,0.000019059844,0.00015121193,0.000105182466,0.00006955141],"category_scores_gemma":[0.000097388816,0.000031997206,0.00001945445,0.00007250098,0.0066093137,0.00006274108,0.00011910368,0.00008770133,0.000053794152],"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":[0.0000033995925,0.000008744105,0.0098773725,0.0000022349927,0.000022071892,4.1392898e-8,0.011068966,2.7591264e-7,0.000003671284,0.9726944,0.0012610737,0.0050577344],"study_design_scores_gemma":[0.00026115924,0.000026646956,0.030984402,0.000007897902,0.000018619497,0.000002087238,0.003444993,0.000020428937,0.0000413399,0.86503744,0.10009791,0.000057051144],"about_ca_topic_score_codex":0.0056811813,"about_ca_topic_score_gemma":0.00807487,"teacher_disagreement_score":0.107656956,"about_ca_system_score_codex":0.000021250455,"about_ca_system_score_gemma":0.000022966713,"threshold_uncertainty_score":0.9960941},"labels":[],"label_agreement":null},{"id":"W2886058089","doi":"10.4236/ti.2018.93011","title":"A Novel Method to Verify Gamma Knife Radioactive Source Count","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","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":"Collimator; Radioactive source; Materials science; Margin (machine learning); Computer science; Radiation; Nuclear engineering; Optics; Environmental science; Physics; Detector; Engineering","score_opus":0.01027215541151395,"score_gpt":0.29651916553689317,"score_spread":0.28624701012537923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886058089","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":[0.035835873,0.000120463425,0.956906,0.0010056355,0.000043029835,0.000337792,0.00001181376,0.00029330497,0.0054460415],"genre_scores_gemma":[0.17743751,0.000004249564,0.8188081,0.0024914825,0.00019725446,0.00021522485,0.00000382833,0.000030644333,0.0008117547],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992062,0.000016411406,0.0001426255,0.00031343507,0.00007005879,0.00025130503],"domain_scores_gemma":[0.999501,0.000022640688,0.00006632894,0.00028845182,0.000046919024,0.00007469074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115876755,0.00016368197,0.00020488595,0.00020687503,0.00013620903,0.000012080557,0.00015461586,0.00010637525,0.00014332317],"category_scores_gemma":[0.000005159093,0.00014901721,0.000027853064,0.00028391674,0.00029392602,0.00006826431,0.000088152556,0.0001747641,0.0000162447],"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":[0.000036119156,0.00012468419,0.0018303135,0.0000033706976,0.00013877221,8.6876867e-7,0.0005148671,0.000004765415,0.13055447,0.7730234,0.0015140069,0.092254356],"study_design_scores_gemma":[0.00060372154,0.00069743075,0.00035015342,0.000025564235,0.000024368026,0.00001886509,0.0002967299,0.0003636276,0.31852016,0.07372016,0.6050694,0.00030983856],"about_ca_topic_score_codex":0.000046828285,"about_ca_topic_score_gemma":0.0000011488396,"teacher_disagreement_score":0.69930327,"about_ca_system_score_codex":0.000057000037,"about_ca_system_score_gemma":0.000027323644,"threshold_uncertainty_score":0.6076746},"labels":[],"label_agreement":null},{"id":"W2887553894","doi":"10.4236/ti.2018.93010","title":"Research on Innovation Posture of Automated Driving Technology Based on Patentometrics","year":2018,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation Policy and R&D","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":"Emerging technologies; Computer science; Field (mathematics); Frontier; Distribution (mathematics); Multidisciplinary approach; Data science; Automation; Technological change; Software; Driving factors; Hotspot (geology); Industrial organization; Business; Engineering; Artificial intelligence; China; Political science","score_opus":0.09054679365929529,"score_gpt":0.3406380399002657,"score_spread":0.2500912462409704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887553894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9648021,0.00012108734,0.0002138233,0.008229195,0.00015483526,0.00022754991,0.000021894666,0.0003232671,0.025906235],"genre_scores_gemma":[0.9965084,0.000014465387,0.0010767663,0.0020994435,0.00003332425,0.00003486498,0.000011942741,0.000013262193,0.00020751262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987938,0.000015055495,0.0004955263,0.00033209473,0.000069741945,0.00029378076],"domain_scores_gemma":[0.9990012,0.000050333896,0.00025799323,0.00039761924,0.0002730915,0.000019752026],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.000903241,0.0001169838,0.00023477087,0.011853217,0.00019830254,0.000012951639,0.00020776143,0.0004836857,0.00006694819],"category_scores_gemma":[0.0005683911,0.00011648364,0.000016495163,0.01092388,0.0006802733,0.000052141553,0.00008240602,0.00038841585,0.00017051041],"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":[0.000015691588,0.00013693469,0.014467174,0.000012604592,0.00001615682,0.0000012162171,0.00003226061,0.0000072501202,0.00068108516,0.98184264,0.0017395235,0.0010474466],"study_design_scores_gemma":[0.0012794435,0.0035684537,0.04900332,0.00012206457,0.000003934908,0.0000052078103,0.00019781332,0.011467898,0.06111531,0.82837325,0.044540934,0.00032237623],"about_ca_topic_score_codex":0.000011848936,"about_ca_topic_score_gemma":0.0000018259544,"teacher_disagreement_score":0.15346941,"about_ca_system_score_codex":0.000092655886,"about_ca_system_score_gemma":0.000028439305,"threshold_uncertainty_score":0.99934655},"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":"W2975365047","doi":"10.4236/ti.2019.103003","title":"Whether Developing Country Can Achieve Remarkable Progress in the Global Market by High-Tech—Huawei Company as an Example","year":2019,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Firm Innovation and Growth","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":"China; Business; Order (exchange); Value (mathematics); Developing country; High tech; International trade; Global value chain; Value chain; Industrial organization; Economics; Supply chain; Comparative advantage; Economic growth; Marketing; Finance","score_opus":0.01793345621601584,"score_gpt":0.22166448965021504,"score_spread":0.2037310334341992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975365047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97020626,0.001374077,0.00006197776,0.008050957,0.00012213488,0.00039209728,0.000052434632,0.00007620969,0.019663863],"genre_scores_gemma":[0.99119186,0.000058695237,0.0013112145,0.0068711657,0.000011152066,0.00007301556,0.000045139266,0.000010681114,0.00042709513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99897194,0.000023416133,0.00033656193,0.00035894592,0.00003959715,0.0002695613],"domain_scores_gemma":[0.99943197,0.00001514551,0.00015394097,0.00035531956,0.000017173841,0.000026441674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005425293,0.00013964089,0.00024494503,0.00019419337,0.00008858306,0.00004684785,0.00028896212,0.00021448269,0.00016938196],"category_scores_gemma":[0.000012978236,0.00012446617,0.000013365887,0.0007059105,0.00022549345,0.00011889801,0.00007388276,0.0001949023,0.0000776678],"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":[0.000010919064,0.000052245385,0.25187337,0.000011453047,0.000013249149,0.0000012671674,0.00008714559,1.717919e-7,0.0000039549955,0.74555445,0.002101488,0.0002902431],"study_design_scores_gemma":[0.0008033939,0.00021499062,0.10074664,0.000023382141,0.000002749536,0.00001797733,0.00051476737,0.00013947474,0.00009299694,0.6998898,0.19729699,0.0002568437],"about_ca_topic_score_codex":0.00080173055,"about_ca_topic_score_gemma":0.00021160461,"teacher_disagreement_score":0.19519551,"about_ca_system_score_codex":0.00013944237,"about_ca_system_score_gemma":0.000029417815,"threshold_uncertainty_score":0.50755835},"labels":[],"label_agreement":null},{"id":"W3016287057","doi":"10.4236/ti.2019.104004","title":"Strategizing the Port of Libreville to Serve as a Gateway Port","year":2019,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Maritime Ports and Logistics","field":"Engineering","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":"Port (circuit theory); Gateway (web page); Ranking (information retrieval); Position (finance); Data envelopment analysis; Throughput; Container (type theory); Business; Operations research; Telecommunications; Computer science; Engineering; Finance; Statistics; Mathematics","score_opus":0.007230548968101783,"score_gpt":0.1999659685817916,"score_spread":0.19273541961368984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016287057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91211915,0.0008000918,0.00006149877,0.0006590001,0.00009732024,0.00025100342,0.0000029879338,0.00016713595,0.08584178],"genre_scores_gemma":[0.9983308,0.00006330624,0.0003732409,0.0005208417,0.000010189049,0.000017511855,0.0000027607514,0.0000103383,0.00067101634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995348,0.0000039345264,0.00015758007,0.00010316956,0.00005978953,0.00014071779],"domain_scores_gemma":[0.99967515,0.000009874468,0.00002481152,0.00024057351,0.000015376068,0.000034194723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101918966,0.0000875384,0.00013947717,0.00009070288,0.00003652769,0.000006213119,0.00011654764,0.0000979684,0.0001783679],"category_scores_gemma":[0.000009336894,0.00006205766,0.0000169822,0.0001574823,0.00007021685,0.000026206117,0.00012852393,0.00011409163,0.00002848499],"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":[0.0000044748235,0.00002545048,0.0124439,0.00010887887,0.00006453127,0.000016437636,0.0002080046,0.0005516925,0.0018939594,0.9790798,0.002388047,0.003214867],"study_design_scores_gemma":[0.0012905331,0.0018955597,0.0343586,0.00041237133,0.00017685359,0.00037908024,0.0032076922,0.0059063886,0.08803179,0.4180337,0.44503638,0.0012710607],"about_ca_topic_score_codex":0.00003099373,"about_ca_topic_score_gemma":0.0000060687325,"teacher_disagreement_score":0.56104606,"about_ca_system_score_codex":0.000010045613,"about_ca_system_score_gemma":0.000013734687,"threshold_uncertainty_score":0.2530638},"labels":[],"label_agreement":null},{"id":"W3016706001","doi":"10.4236/ti.2020.111001","title":"Analysis of the Development Process of Payment Methods and Mobile Payment Technology Diffusion Trend in China","year":2020,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","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":"Mobile payment; Payment; Business; China; Payment service provider; Promotion (chess); Finance","score_opus":0.0501074265997256,"score_gpt":0.3719482559725916,"score_spread":0.321840829372866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016706001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945778,0.00031545866,0.00090220856,0.0034499818,0.000030292,0.0002942973,0.0000044087196,0.000029348217,0.0003962001],"genre_scores_gemma":[0.9920745,0.000015416445,0.0074355174,0.0003553435,0.0000021374747,0.000064391395,0.0000019829515,0.00000416617,0.000046574463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980815,0.000088860186,0.0009111388,0.00039446124,0.0003574982,0.000166507],"domain_scores_gemma":[0.99902,0.00008908122,0.00046068747,0.00030550614,0.00008424233,0.000040509836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010818128,0.00013616882,0.0004713099,0.001698088,0.00010310839,0.000010222519,0.000387401,0.00017718431,0.00006876047],"category_scores_gemma":[0.0005054408,0.00008085959,0.000043039516,0.00714594,0.0004801433,0.00004667398,0.0005256598,0.00018160859,6.6976327e-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":[0.00004496044,0.00035333898,0.47866407,0.000044763354,0.00021875445,0.0000019658853,0.012201878,0.00017272525,0.031152006,0.07231014,0.000057883644,0.40477753],"study_design_scores_gemma":[0.0023922666,0.0008578839,0.4134468,0.00014778937,0.00029324822,0.000011085453,0.024425363,0.03176967,0.4090275,0.1017114,0.015380606,0.00053638424],"about_ca_topic_score_codex":0.0000028307295,"about_ca_topic_score_gemma":0.000028082488,"teacher_disagreement_score":0.40424114,"about_ca_system_score_codex":0.000024565583,"about_ca_system_score_gemma":0.000047217196,"threshold_uncertainty_score":0.3433387},"labels":[],"label_agreement":null},{"id":"W3037225962","doi":"10.4236/ti.2020.112002","title":"Corporate Governance Perception Index, Profitability and Firm Value in Indonesia","year":2020,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","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":"Profitability index; Stock exchange; Index (typography); Corporate governance; Business; Enterprise value; Indonesian; Accounting; Perception; Value (mathematics); Population; Finance; Statistics; Mathematics","score_opus":0.01872943921094805,"score_gpt":0.18679991708867782,"score_spread":0.16807047787772977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037225962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892071,0.00050152844,0.000067764886,0.009189961,0.00002981103,0.00021424997,0.0000019123547,0.00008436385,0.00070330984],"genre_scores_gemma":[0.99441874,0.00008374996,0.00010964684,0.0052422564,0.00007416948,0.000035842215,0.0000046056502,0.0000078745725,0.000023120721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991511,0.000006782673,0.00021783417,0.00035245245,0.000103307284,0.00016852263],"domain_scores_gemma":[0.9995498,0.00000457446,0.00027323767,0.00012472653,0.000034520206,0.000013136972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012659437,0.00014087175,0.00022200329,0.000093232826,0.00008366306,0.000041697615,0.00010730964,0.00013029632,0.00002703756],"category_scores_gemma":[0.0000486381,0.0001270405,0.000019811669,0.0008057164,0.00020799381,0.00036499358,0.00018049942,0.00017852512,0.00003268283],"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":[0.000029375838,0.000033797674,0.61288667,0.000058919843,0.000005016552,0.000008835541,0.00002893847,0.000010896857,0.00055146345,0.38199946,0.00020634099,0.0041803005],"study_design_scores_gemma":[0.00046943873,0.000036172853,0.9020891,0.000030054583,0.000016669874,0.0000014729726,0.00011636873,0.0075505697,0.000054017328,0.08486156,0.004604191,0.00017035245],"about_ca_topic_score_codex":0.00027182538,"about_ca_topic_score_gemma":0.00009184977,"teacher_disagreement_score":0.29713792,"about_ca_system_score_codex":0.000029291305,"about_ca_system_score_gemma":0.000015574093,"threshold_uncertainty_score":0.51805615},"labels":[],"label_agreement":null},{"id":"W3040017013","doi":"10.4236/ti.2020.113004","title":"Enlightenment of Rotterdam Port to the Construction of Inland International Logistics Hub under the Framework of Chongqing Free Trade Zone","year":2020,"lang":"en","type":"article","venue":"Technology and Investment","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","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":"Port (circuit theory); Enlightenment; Business; Order (exchange); Free trade zone; International shipping; Transport engineering; International trade; China; Engineering; Finance; Political science","score_opus":0.021009177041587612,"score_gpt":0.23204422360719162,"score_spread":0.211035046565604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040017013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7329467,0.0001200344,0.013923866,0.2509749,0.00016818753,0.0002869253,0.000010826706,0.000076303964,0.0014923023],"genre_scores_gemma":[0.9878671,0.000021146107,0.003723138,0.00827082,0.00007748278,0.000021798332,0.000007072401,0.0000058457695,0.000005579108],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931896,0.000004884469,0.00032326803,0.00012978606,0.00012703029,0.00009609447],"domain_scores_gemma":[0.9993485,0.000035708315,0.00027202506,0.0002750524,0.00006358712,0.000005119367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013287395,0.00008971225,0.00016071528,0.0001847355,0.000079760866,0.000008855144,0.0004051342,0.00013903262,0.000021163927],"category_scores_gemma":[0.00013616146,0.000058055175,0.00002611015,0.00065660296,0.000705518,0.00007209976,0.0003181093,0.00021211391,0.0000028106422],"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":[0.0000116939555,0.000044900433,0.02884397,0.000026946818,0.000083723295,7.572859e-7,0.00008180247,0.000029751407,0.0011410693,0.96538097,0.002373887,0.0019805382],"study_design_scores_gemma":[0.0012230284,0.0002481949,0.05061869,0.00022802586,0.00027630432,0.000020795229,0.011233276,0.0012624165,0.026903672,0.82953143,0.07814093,0.00031324718],"about_ca_topic_score_codex":0.000031736738,"about_ca_topic_score_gemma":0.000007269721,"teacher_disagreement_score":0.25492045,"about_ca_system_score_codex":0.000009101107,"about_ca_system_score_gemma":0.000010267557,"threshold_uncertainty_score":0.25995106},"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":"W3047117112","doi":"10.4236/ti.2020.113005","title":"Adopting Healthcare Information Exchange among Organizations, Regions, and Hospital Systems toward Quality, Sustainability, and Effectiveness","year":2020,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Electronic Health Records Systems","field":"Health Professions","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":"Health information exchange; Business; Sustainability; Information exchange; Health care; Quality (philosophy); Service (business); Work (physics); Knowledge management; Process management; Marketing; Computer science; Health information; Economics","score_opus":0.033878355253169026,"score_gpt":0.36585215828687856,"score_spread":0.33197380303370955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047117112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94218683,0.006863118,0.0013911682,0.045266572,0.00021583254,0.0035411436,0.000014730877,0.0004242687,0.00009635247],"genre_scores_gemma":[0.99628896,0.00070989126,0.00017147852,0.0020974462,0.00007511429,0.000595545,0.000027097238,0.000018162822,0.000016294305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748737,0.00084654166,0.0006829135,0.00032873492,0.00014095352,0.0005134938],"domain_scores_gemma":[0.9984913,0.0002837397,0.0003596231,0.00021558406,0.00039033408,0.00025943955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012586734,0.00018994052,0.00042474642,0.00023238144,0.0007532548,0.000023149014,0.00009794479,0.00050853693,0.0000033382796],"category_scores_gemma":[0.0012604522,0.00017653196,0.000011158906,0.0006372482,0.0002638144,0.00035753928,0.00032577926,0.00065858883,0.000007258864],"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":[0.000020044565,0.000016496233,0.5751615,0.010544564,0.00002234732,0.0000020017187,0.009214588,9.583384e-7,0.000004900123,0.402317,0.00041125677,0.0022843436],"study_design_scores_gemma":[0.0053362884,0.0039653885,0.68361485,0.0024678619,0.0000988757,0.000051941886,0.1743296,0.0015941715,0.00006207519,0.03705125,0.090194486,0.0012332317],"about_ca_topic_score_codex":0.0015228951,"about_ca_topic_score_gemma":0.00007898747,"teacher_disagreement_score":0.36526576,"about_ca_system_score_codex":0.00042695343,"about_ca_system_score_gemma":0.00043182992,"threshold_uncertainty_score":0.71987647},"labels":[],"label_agreement":null},{"id":"W3082250834","doi":"10.4236/ti.2020.114006","title":"Geopolymer Mortar with the Tailings from the Fund&amp;#227;o Dam Rupture","year":2020,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Tailings Management and Properties","field":"Engineering","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":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Tailings; Mortar; Sodium silicate; Compressive strength; Geopolymer; Fly ash; Absorption of water; Portland cement; Sodium hydroxide; Materials science; Curing (chemistry); Metakaolin; Metallurgy; Lime; Raw material; Bauxite; Cement; Composite material; Chemistry","score_opus":0.018359205349738533,"score_gpt":0.1882640450003327,"score_spread":0.16990483965059416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082250834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447642,0.010012034,0.00028459256,0.04130579,0.00006144818,0.00023574861,0.000004616175,0.0005842673,0.0027473003],"genre_scores_gemma":[0.99031454,0.000152797,0.0003493516,0.00854349,0.000076878845,0.000046777786,0.00000811482,0.000018785022,0.00048925716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994971,0.000009323836,0.00009024503,0.0001554881,0.00007832465,0.00016948744],"domain_scores_gemma":[0.9996736,0.000021833002,0.00002250909,0.00024280697,0.000008734569,0.000030504223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004355094,0.00014130479,0.00011044839,0.000029281971,0.00014362454,0.000030895575,0.00025346925,0.00009316974,0.000064155145],"category_scores_gemma":[0.000008316523,0.00006804819,0.000017674767,0.0002005865,0.0002727561,0.000055746572,0.00009664885,0.00028186428,0.000049797025],"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":[0.00028462918,0.00011338223,0.04448363,0.00028851113,0.0029633683,0.00006363797,0.02770517,0.004064103,0.032087475,0.4683819,0.37733573,0.04222844],"study_design_scores_gemma":[0.0002937385,0.00010877412,0.0006359486,0.000019403687,0.00009375688,0.000002575464,0.0016976272,0.0013529854,0.006633282,0.005267111,0.98369557,0.00019923065],"about_ca_topic_score_codex":0.000040504037,"about_ca_topic_score_gemma":0.00005856882,"teacher_disagreement_score":0.60635984,"about_ca_system_score_codex":0.000007125688,"about_ca_system_score_gemma":0.0000051378993,"threshold_uncertainty_score":0.27749246},"labels":[],"label_agreement":null},{"id":"W3121866067","doi":"10.4236/ti.2012.33025","title":"Genetic Algorithm for Arbitrage with More than Three Currencies","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","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":"Ministerio de Ciencia e Innovación","keywords":"Arbitrage; Economics; Covered interest arbitrage; Exchange rate; Ranking (information retrieval); Interest rate parity; Database transaction; Monetary economics; Business; Algorithm; Financial economics; Computer science; Artificial intelligence","score_opus":0.08623483652133794,"score_gpt":0.3654042582452006,"score_spread":0.27916942172386267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121866067","genre_codex":"empirical","genre_gemma":"methods","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":[0.7225873,0.0024996393,0.27073202,0.00095426623,0.00028820473,0.0005435284,0.000013817005,0.00017195329,0.0022092718],"genre_scores_gemma":[0.30727088,0.000008884098,0.69144773,0.0005316841,0.00008756788,0.00024139196,0.0000013302216,0.000016160315,0.00039435647],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858904,0.000050208928,0.00027111158,0.00034511398,0.0003285903,0.0004159502],"domain_scores_gemma":[0.9986797,0.00048629538,0.00014062635,0.0004908782,0.0000949979,0.00010749021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013855787,0.00016459332,0.0002494655,0.00045255426,0.00019119738,0.000034282886,0.0003761539,0.00015898247,0.000032732314],"category_scores_gemma":[0.00074619625,0.00010438248,0.000039080944,0.00065311627,0.00061643735,0.00013122975,0.00015880172,0.00017348636,0.000014372985],"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":[0.000018625953,0.00007489383,0.1165841,0.0000060025036,0.00003606131,0.0000027288897,0.00029970755,0.0000019982547,0.00010566538,0.08374109,0.0012549638,0.79787415],"study_design_scores_gemma":[0.00084123114,0.000765428,0.21409589,0.00003436538,0.00006408408,0.00021048829,0.0008926877,0.005834637,0.003737752,0.72898674,0.044153966,0.00038274436],"about_ca_topic_score_codex":0.0000051063585,"about_ca_topic_score_gemma":0.000010014981,"teacher_disagreement_score":0.79749143,"about_ca_system_score_codex":0.000022298927,"about_ca_system_score_gemma":0.000039174953,"threshold_uncertainty_score":0.42565942},"labels":[],"label_agreement":null},{"id":"W3122037827","doi":"10.4236/ti.2012.32013","title":"Foreign Direct Investment and Trade: Complements or Substitutes? Empirical Evidence for the European Union","year":2012,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":32,"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":"Foreign direct investment; Endogeneity; International economics; European union; Economics; International trade; Economic integration; Gravity model of trade; Single market; Investment (military); Trade barrier; Macroeconomics","score_opus":0.2947251662241567,"score_gpt":0.30623635158789736,"score_spread":0.011511185363740684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122037827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8561346,0.05207912,0.0027777005,0.023818616,0.0007233688,0.0020688905,0.0002017561,0.00025750636,0.061938435],"genre_scores_gemma":[0.9919169,0.0013316772,0.0016757989,0.004715429,0.00008106631,0.000100938334,0.000009075855,0.000016085387,0.00015304015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988949,0.000031530708,0.00037344403,0.00030406253,0.00001943465,0.00037662976],"domain_scores_gemma":[0.99932927,0.00012731733,0.00015376833,0.000277763,0.0000055834025,0.00010632458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010636584,0.00016454938,0.0002595164,0.00014745665,0.00025526425,0.000037920556,0.00019544852,0.000097075186,0.000029512777],"category_scores_gemma":[0.000102357306,0.00012599706,0.000040402523,0.00015853786,0.00030286724,0.00024379461,0.00012882422,0.00011393576,0.000039008875],"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":[0.000013747704,0.00006732425,0.14454687,0.000021917715,0.00007170872,8.9302023e-7,0.0001646067,0.0000023020707,0.0000075669773,0.8492168,0.0042502955,0.0016359339],"study_design_scores_gemma":[0.0011217734,0.00038662975,0.18272547,0.000040373157,0.000048261812,0.000036811736,0.0003691007,0.00046117394,0.00028001665,0.14973204,0.66445583,0.0003425097],"about_ca_topic_score_codex":0.00002185822,"about_ca_topic_score_gemma":0.000011316081,"teacher_disagreement_score":0.6994848,"about_ca_system_score_codex":0.00007088033,"about_ca_system_score_gemma":0.000009027445,"threshold_uncertainty_score":0.5138011},"labels":[],"label_agreement":null},{"id":"W3122135203","doi":"10.4236/ti.2015.63015","title":"China and Sub-Saharan Africa’s Economic Development: A Multipolar Specification","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"International Development and Aid","field":"Social Sciences","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":"Nexus (standard); China; Context (archaeology); Political science; Economic system; Development economics; Economic geography; Economic growth; Economics; Geography; Engineering; Law","score_opus":0.03352210181885378,"score_gpt":0.25890815946957174,"score_spread":0.22538605765071795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122135203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9339274,0.0016860898,0.000033479944,0.007363633,0.00015892353,0.00021303711,0.0000014640038,0.00011807225,0.05649789],"genre_scores_gemma":[0.9960119,0.0003152071,0.0022247408,0.0001239667,0.00003803698,0.000033401113,0.0000054444163,0.0000040964483,0.0012431687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994818,0.00001989801,0.00011857408,0.00015513274,0.00008155198,0.0001430387],"domain_scores_gemma":[0.9997978,0.0000071462014,0.000044857843,0.00005646648,0.000021584528,0.00007211282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028733234,0.00006741275,0.00007419793,0.00017765014,0.00021543824,0.000026668205,0.00009564416,0.00009927694,0.000019886624],"category_scores_gemma":[0.000037770445,0.000065296095,0.00000645412,0.00007967845,0.00028099006,0.00012184663,0.000050718896,0.00006684406,0.000073311436],"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":[0.000007662173,0.00002031859,0.0032757267,0.000001861843,0.000016119722,0.000001403672,0.0048689153,2.3625233e-7,0.00015723045,0.9810585,0.002223957,0.00836811],"study_design_scores_gemma":[0.0004141211,0.000031653268,0.03931523,0.000013496389,0.000004726014,0.000003157042,0.0008517007,0.000034564546,0.0038047908,0.13767812,0.81769305,0.00015541245],"about_ca_topic_score_codex":0.00005821945,"about_ca_topic_score_gemma":0.00013099652,"teacher_disagreement_score":0.84338033,"about_ca_system_score_codex":0.0001327651,"about_ca_system_score_gemma":0.00013424963,"threshold_uncertainty_score":0.26626974},"labels":[],"label_agreement":null},{"id":"W3124572353","doi":"10.4236/ti.2013.41b010","title":"Cross-Sectional Estimation Biases in Risk Premia and Ze-ro-Beta Excess Returns","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","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":"BETA (programming language); Economics; Estimation; Risk premium; Excess return; Econometrics; Computer science; Biology","score_opus":0.028429873591923813,"score_gpt":0.2402907582565682,"score_spread":0.2118608846646444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124572353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98478067,0.0031910017,0.000047755646,0.0005910907,0.00012787542,0.00030491184,0.0000329984,0.00007057994,0.010853136],"genre_scores_gemma":[0.9972634,0.000737,0.0011033228,0.00035109886,0.000021214844,0.00013498704,0.000013410808,0.00000973938,0.00036586245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989251,0.000011357994,0.00042105946,0.00037217548,0.000025485284,0.0002448273],"domain_scores_gemma":[0.99950373,0.000039985214,0.00020510585,0.00018433231,0.000018101133,0.000048742237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026418845,0.00014395754,0.00023508292,0.00046081524,0.00014244347,0.000104547005,0.00010117389,0.00024511752,0.0002182289],"category_scores_gemma":[0.00015093197,0.00014656858,0.000022201984,0.00025555075,0.0003889304,0.0004507386,0.000082996055,0.00020477179,0.000068245696],"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":[0.000003860096,0.000028441094,0.52982646,0.00001226053,0.000008675416,7.342043e-7,0.000043944718,0.000019266772,0.000014761473,0.46928668,0.00014267424,0.0006122559],"study_design_scores_gemma":[0.0002766715,0.00008329958,0.60449255,0.00001314075,0.0000017000017,0.0000046168107,0.00002634776,0.0024283966,0.00012384815,0.39125335,0.0011876592,0.00010839887],"about_ca_topic_score_codex":0.00048533696,"about_ca_topic_score_gemma":0.000044289376,"teacher_disagreement_score":0.078033336,"about_ca_system_score_codex":0.000058206264,"about_ca_system_score_gemma":0.000014641617,"threshold_uncertainty_score":0.59768933},"labels":[],"label_agreement":null},{"id":"W3131656409","doi":"10.4236/ti.2021.121002","title":"Techno-Economic Feasibility Study of Solid Waste Recycling System for Dry Waste from Water Treatment Plants: Sultanate of Oman Case","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","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":"Waste management; Environmental science; Municipal solid waste; Production (economics); Waste treatment; Natural resource economics; Engineering; Economics","score_opus":0.019378777755183728,"score_gpt":0.24611989495325537,"score_spread":0.22674111719807163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131656409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981802,0.0001852855,0.000010737844,0.0001460858,0.00011023772,0.0009811267,0.00018835331,0.000074759395,0.00012318662],"genre_scores_gemma":[0.9986793,0.000025474521,0.0008737264,0.000012840222,0.00001365894,0.00014285321,0.00003196399,0.000014867659,0.00020534817],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985915,0.000047512967,0.0004848312,0.00052274653,0.00008248311,0.00027092357],"domain_scores_gemma":[0.99914145,0.0000366601,0.00015004832,0.0006014767,0.000010781132,0.000059583108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001336282,0.00022586707,0.0004673876,0.00011473343,0.0001347768,0.0000065367512,0.00014192157,0.00017993143,0.00004122002],"category_scores_gemma":[0.000006288006,0.00015102631,0.00006392094,0.000088652254,0.00026641935,0.00011928104,0.00026677875,0.00006621077,0.000011158643],"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":[0.00065678457,0.006360953,0.184861,0.00025970204,0.0016741544,0.0018702857,0.0077680955,0.0017612911,0.7886739,0.0020900965,0.00006831793,0.003955429],"study_design_scores_gemma":[0.0030429908,0.0013808273,0.00014012332,0.00004758018,0.00016104568,0.00008689803,0.02270269,0.00048369306,0.9696976,0.0020234396,0.000073048046,0.00016008611],"about_ca_topic_score_codex":0.0009901586,"about_ca_topic_score_gemma":0.0010182784,"teacher_disagreement_score":0.18472089,"about_ca_system_score_codex":0.00033089065,"about_ca_system_score_gemma":0.000013048412,"threshold_uncertainty_score":0.61586744},"labels":[],"label_agreement":null},{"id":"W3133662588","doi":"10.4236/ti.2021.122004","title":"Factors Hindering the Adoption of E-Marketing among Cable Manufacturers in Zambia, Based on Technology Acceptance Model (TAM)","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":12,"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":"Technology acceptance model; Marketing; Business; Test (biology); Conceptual model; The Internet; Usability; Order (exchange); Computer science; World Wide Web","score_opus":0.07173191676138528,"score_gpt":0.32183986286519284,"score_spread":0.25010794610380754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133662588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909267,0.0002455839,0.0024417427,0.005081934,0.00010942585,0.0002355221,0.000006641496,0.00021278582,0.0007397024],"genre_scores_gemma":[0.9964603,0.000024878613,0.00257812,0.0005877282,0.0000033660315,0.000048471105,0.0000036859885,0.000012591956,0.00028082886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786866,0.00015521536,0.0005931023,0.00062305626,0.0004036782,0.00035629052],"domain_scores_gemma":[0.9982326,0.00034427748,0.00030060898,0.00095763383,0.00012123292,0.00004363765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014279397,0.00022476,0.0003847136,0.0015147016,0.0002132473,0.000034387074,0.0006706068,0.0006713074,0.000089298584],"category_scores_gemma":[0.0015006955,0.0001569357,0.00006894961,0.0019523097,0.0008815659,0.00014568963,0.00028290777,0.0007263185,0.00000763797],"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":[0.000043466498,0.00017994981,0.93241954,0.000008935445,0.000014994166,0.0000229258,0.00017296101,0.009270743,0.0029610984,0.045323122,0.00026632237,0.0093159415],"study_design_scores_gemma":[0.0010693358,0.00015122881,0.7425775,0.00012528145,0.000027977945,0.000012403828,0.0076083546,0.051488597,0.07428716,0.12150757,0.00078512786,0.00035949078],"about_ca_topic_score_codex":0.000010587123,"about_ca_topic_score_gemma":0.00014381488,"teacher_disagreement_score":0.18984206,"about_ca_system_score_codex":0.00008973361,"about_ca_system_score_gemma":0.00008820851,"threshold_uncertainty_score":0.63996524},"labels":[],"label_agreement":null},{"id":"W3136603738","doi":"10.4236/ti.2024.154012","title":"Style Consistency and Mutual Fund Returns: A Case of Russia","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Markets and Investment Strategies","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":"Style (visual arts); Consistency (knowledge bases); Mutual fund; Style analysis; Investment style; Returns-based style analysis; Profitability index; Investment (military); Manager of managers fund; Investment fund; Business; Economics; Investment strategy; Fund administration; Finance; Political science; Geography; Macroeconomics; Mathematics; Return on investment; Law; Open-ended investment company","score_opus":0.031189542393459547,"score_gpt":0.2349665169830128,"score_spread":0.20377697458955324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136603738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89596665,0.054635774,0.0000329437,0.001453739,0.000178715,0.00017651448,0.000072009134,0.00010059692,0.047383066],"genre_scores_gemma":[0.99738634,0.0011281952,0.0006047318,0.0003276199,0.00001934845,0.000028379041,0.0000030670624,0.000010568734,0.00049172645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991319,0.0000065042423,0.0003575831,0.0003173084,0.000014442849,0.00017223314],"domain_scores_gemma":[0.9996493,0.000028095423,0.000087534674,0.0001824599,0.000009333371,0.000043267966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019582288,0.00012751277,0.00027888356,0.00042752456,0.00008590666,0.000038489918,0.000058702466,0.00017376714,0.000089944915],"category_scores_gemma":[0.00003845662,0.00012204996,0.000031847492,0.00027039082,0.00059817516,0.00014758813,0.0000783031,0.0001409495,0.00002463243],"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":[0.00000592868,0.000026886288,0.0019288502,0.00010840794,0.000045909143,0.00015772966,0.0002799959,6.489396e-8,0.000054000764,0.9951558,0.0007654958,0.001470903],"study_design_scores_gemma":[0.00029253933,0.00039287872,0.0021180727,0.00007481607,0.000018021723,0.0005759074,0.00061853556,0.00055952655,0.00025417158,0.92770565,0.06719493,0.00019494566],"about_ca_topic_score_codex":0.00007622479,"about_ca_topic_score_gemma":0.000020084779,"teacher_disagreement_score":0.101419725,"about_ca_system_score_codex":0.000021689677,"about_ca_system_score_gemma":0.000022496748,"threshold_uncertainty_score":0.4977053},"labels":[],"label_agreement":null},{"id":"W3159997965","doi":"10.4236/ti.2021.122005","title":"Factors Influencing Social Media in Managing Corporate Reputation for a Christian Organisation in Developing Countries Based on the VT4 Model","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":8,"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":"Reputation; Social media; Descriptive statistics; Public relations; Business; Population; Marketing; Sociology; Psychology; Political science; Social science; Law","score_opus":0.056350144108163656,"score_gpt":0.2785377296730547,"score_spread":0.22218758556489102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159997965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802983,0.000040024875,0.00029234355,0.017628893,0.00006955242,0.0001969254,0.0000033731308,0.000058929367,0.0014116562],"genre_scores_gemma":[0.9978525,0.000025469351,0.00040361224,0.0016187609,0.000018063716,0.00005080651,0.000010599071,0.0000055332926,0.00001467371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99930865,0.000081631166,0.00015528536,0.00015480952,0.00012313688,0.00017651056],"domain_scores_gemma":[0.9994241,0.00036798057,0.000094102375,0.00004902273,0.00004757497,0.00001720336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006417557,0.000071021714,0.00011099964,0.0001721412,0.0003345111,0.00004720072,0.000066303175,0.00013621275,0.0000029119633],"category_scores_gemma":[0.0012577131,0.0000615848,0.000012647408,0.00042320223,0.0002608012,0.00008654233,0.000020494574,0.0001015232,5.679666e-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":[0.000010530203,0.000015365362,0.011449875,0.000014694206,0.000003513367,0.0000028435475,0.041907273,0.00008766616,0.000022307615,0.9451674,0.000042533204,0.0012759842],"study_design_scores_gemma":[0.0005056632,0.000026007758,0.020746693,0.00015823267,0.000009185911,1.2745684e-7,0.10415657,0.0070706923,0.0009393122,0.86501205,0.0011699443,0.00020550286],"about_ca_topic_score_codex":0.000051035113,"about_ca_topic_score_gemma":0.0020489933,"teacher_disagreement_score":0.08015534,"about_ca_system_score_codex":0.00023160157,"about_ca_system_score_gemma":0.00036039346,"threshold_uncertainty_score":0.2572823},"labels":[],"label_agreement":null},{"id":"W3161890395","doi":"10.4236/ti.2021.122006","title":"Role of Technology Transfer, Innovation Strategy and Network: A Conceptual Model of Innovation Network to Facilitate the Internationalization Process of SMEs","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":24,"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":"Universidad Nacional de Educación a Distancia; Univerzita Karlova v Praze","keywords":"Internationalization; Business; Competence (human resources); Context (archaeology); Knowledge management; Conceptual model; Industrial organization; Knowledge transfer; Process (computing); Empirical research; Conceptual framework; Empirical evidence; Marketing; Computer science; Economics; Management","score_opus":0.03434508936192902,"score_gpt":0.24424788484067214,"score_spread":0.20990279547874313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161890395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752731,0.0004571917,0.007603296,0.0018372054,0.000051956147,0.00039909856,0.0000047348212,0.000057268117,0.014316151],"genre_scores_gemma":[0.9979646,0.000017390195,0.00070056773,0.0010333112,0.000037319314,0.00005178682,0.00004434454,0.000007241163,0.00014339978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99897784,0.0000073315546,0.00057433,0.00018322526,0.00012303841,0.00013423164],"domain_scores_gemma":[0.99841523,0.000010861651,0.00024137925,0.00014519061,0.0011846018,0.0000027603546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032562242,0.00010852339,0.00020053433,0.00077169953,0.0000755326,0.000013158261,0.00012325401,0.00011770437,0.000011617459],"category_scores_gemma":[0.000099277975,0.00009304447,0.000010430276,0.0050195777,0.00032077386,0.000157356,0.0001341501,0.00009176374,8.654038e-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":[0.000023057295,0.00005183299,0.003947952,0.00010954818,0.000046432102,1.665851e-7,0.00020058222,0.0034170987,0.0066555403,0.97739863,0.00013090753,0.008018232],"study_design_scores_gemma":[0.00065939623,0.00008182031,0.0010419029,0.00013227215,0.000046544174,0.0000013480925,0.0046471376,0.03038934,0.013241737,0.94180846,0.0077978754,0.00015219151],"about_ca_topic_score_codex":0.0000067141,"about_ca_topic_score_gemma":0.000022970858,"teacher_disagreement_score":0.035590217,"about_ca_system_score_codex":0.000010775767,"about_ca_system_score_gemma":0.000044881184,"threshold_uncertainty_score":0.37942433},"labels":[],"label_agreement":null},{"id":"W3183166833","doi":"10.4236/ti.2021.123008","title":"People of Determination (Disabilities) Recruitment Model Based on Blockchain and Smart Contract Technology","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Blockchain Technology Applications and Security","field":"Computer Science","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":"Blockchain; Process (computing); Smart contract; Business; Computer science; Process management; Technology development; Knowledge management; Engineering management; Computer security; Engineering","score_opus":0.02060379210274136,"score_gpt":0.2583411005489623,"score_spread":0.23773730844622096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183166833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89361733,0.0008678097,0.08408901,0.01975268,0.000039513172,0.0005514982,0.000008845385,0.0004396422,0.0006336808],"genre_scores_gemma":[0.9538017,0.000060659775,0.04482098,0.00087521086,0.00000278452,0.000379706,0.0000030026656,0.000006814503,0.00004912993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987905,0.000034724988,0.00028542939,0.000526649,0.00011387591,0.00024881432],"domain_scores_gemma":[0.998778,0.00011719569,0.00011452848,0.0008359731,0.0001056258,0.000048712085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023494451,0.00016833263,0.00028504935,0.00057315035,0.00015369618,0.0000140453585,0.0003308883,0.0004446501,0.0000062012086],"category_scores_gemma":[0.00016116188,0.00016482861,0.000029334207,0.00084125926,0.0005396781,0.00004211011,0.00030177625,0.00026752194,0.0000021098642],"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":[0.0000043974587,0.00024186105,0.0020263488,0.000026112639,0.000011685818,0.0000038790536,0.00014940115,0.0000596535,0.002150762,0.96009296,0.00002564917,0.035207286],"study_design_scores_gemma":[0.00055206066,0.00028140706,0.00037148473,0.00003286539,0.000013622357,0.000042828004,0.0002019232,0.4853115,0.06165853,0.45069093,0.00068767584,0.0001551752],"about_ca_topic_score_codex":0.000005615237,"about_ca_topic_score_gemma":0.00003561236,"teacher_disagreement_score":0.50940204,"about_ca_system_score_codex":0.000048233534,"about_ca_system_score_gemma":0.00009062275,"threshold_uncertainty_score":0.67215157},"labels":[],"label_agreement":null},{"id":"W3189673690","doi":"10.4236/ti.2021.123010","title":"Blockchain in Healthcare","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":26,"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":"Jiangxi University of Science and Technology","keywords":"Blockchain; Interoperability; Health care; Computer science; Computer security; Smart contract; Globe; Business; Process management; Medicine; World Wide Web; Law; Political science","score_opus":0.010423602997278203,"score_gpt":0.24029604577942434,"score_spread":0.22987244278214614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189673690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8019775,0.0065928516,0.010910721,0.17833151,0.00007223071,0.00019865816,0.0000015139196,0.0006643273,0.0012506787],"genre_scores_gemma":[0.9720984,0.000086653534,0.02386831,0.0037656005,0.0000043167256,0.000090499205,0.0000010369822,0.000003053141,0.000082098464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920887,0.00002628409,0.00015110402,0.00035079586,0.00005285334,0.00021009648],"domain_scores_gemma":[0.99932563,0.00001598505,0.00003135264,0.0005544606,0.000034339017,0.00003823541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012745376,0.00008221751,0.00012863919,0.0003136447,0.000088329776,0.000011747894,0.00031179213,0.00024293562,0.0000034984084],"category_scores_gemma":[0.000023948332,0.00008373018,0.000013016665,0.0011092538,0.00015709447,0.000028143048,0.00035954537,0.00026519087,0.0000102502745],"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":[3.2294474e-7,0.000056607012,0.0043781805,0.0000051740094,0.000003426329,0.000035882993,0.000061984174,7.003255e-7,0.00031940683,0.98347276,0.0000983684,0.011567212],"study_design_scores_gemma":[0.0002395649,0.000045296092,0.0027336935,0.000011218043,0.000001252048,0.00010979016,0.000062432926,0.0024237528,0.013057502,0.9706182,0.010593346,0.00010396082],"about_ca_topic_score_codex":0.00001622244,"about_ca_topic_score_gemma":0.00007580142,"teacher_disagreement_score":0.1745659,"about_ca_system_score_codex":0.000030187122,"about_ca_system_score_gemma":0.000058745685,"threshold_uncertainty_score":0.34144175},"labels":[],"label_agreement":null},{"id":"W3196817994","doi":"10.2307/j.ctt1tg5m03.9","title":"The Second and Third waves:","year":2017,"lang":"en","type":"book-chapter","venue":"Technology and Investment","topic":"South Asian Cinema and Culture","field":"Arts and Humanities","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":"Geology","score_opus":0.01887666850922731,"score_gpt":0.20330403440073783,"score_spread":0.18442736589151051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196817994","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":[0.0011798779,0.012008226,8.1769265e-8,0.0030990636,0.00024281835,0.0001985247,0.000040589184,0.00010129455,0.9831295],"genre_scores_gemma":[0.0061154524,0.00042296885,0.000010522975,0.0011732172,0.00023539182,0.000020344303,0.00000819411,0.00001813618,0.99199575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994005,0.0000035569421,0.00014001287,0.00023408612,0.00006372493,0.00015811973],"domain_scores_gemma":[0.99937886,0.0000168582,0.00013874583,0.00039196812,0.0000310091,0.000042558724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058293368,0.00021849,0.00021456792,0.00008235078,0.001149448,0.00016075405,0.00018673667,0.00033679878,0.0007293167],"category_scores_gemma":[0.000009434997,0.00012886032,0.00003669524,0.0000020326945,0.002076477,0.000045083143,0.00012239232,0.00038317675,0.00008222743],"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":[0.0000036356698,0.0000024041883,0.000004289064,0.000022276638,0.0000732224,0.000008856483,0.0021218327,4.41913e-10,0.000001731503,0.9636659,0.030673135,0.0034227413],"study_design_scores_gemma":[0.0000855524,0.000054744705,0.000005188535,0.000037289818,0.000026175041,0.000012572444,0.00069053954,2.286092e-7,0.000008050834,0.4252288,0.5737561,0.000094741285],"about_ca_topic_score_codex":0.0000017290732,"about_ca_topic_score_gemma":0.00034577816,"teacher_disagreement_score":0.54308295,"about_ca_system_score_codex":0.000008747304,"about_ca_system_score_gemma":0.0000173292,"threshold_uncertainty_score":0.8840741},"labels":[],"label_agreement":null},{"id":"W3209003362","doi":"10.4236/ti.2021.124011","title":"The Viability and Contribution of High-Speed Rail to the Economic Growth and Social Development","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","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":"Abu dhabi; Plan (archaeology); Master plan; Business; Five year plan; Economic growth; Transport engineering; China; Environmental planning; Engineering; Geography; Economics","score_opus":0.008457855694178886,"score_gpt":0.18767584521871247,"score_spread":0.17921798952453358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209003362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756903,0.0002907963,0.000012417085,0.02332215,0.000073525014,0.00013804864,0.0000024693506,0.000028021997,0.00044223835],"genre_scores_gemma":[0.9984277,0.0000312075,0.000040318268,0.0013842857,0.000053137355,0.000015390253,0.0000065674017,0.0000031569862,0.00003821997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99955183,0.000004040515,0.00015908557,0.0001346569,0.000022989807,0.00012741877],"domain_scores_gemma":[0.9998093,0.000019661897,0.000061786996,0.000081544444,0.000021901202,0.0000057907164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018848,0.00007204608,0.00012419994,0.00005380123,0.00036166143,0.00004127512,0.00006607006,0.00005929655,0.000006753851],"category_scores_gemma":[0.000017771335,0.000047888298,0.00001077583,0.0000639313,0.0002830667,0.00009027777,0.00012718025,0.000053377986,0.000006003873],"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":[0.000015542619,0.000010083858,0.031640936,0.000022087877,0.000034477132,3.6901636e-7,0.00017103145,8.793841e-7,0.000309371,0.964542,0.00036062987,0.002892626],"study_design_scores_gemma":[0.0008842667,0.000019242387,0.5431402,0.00001260772,0.000055709243,0.000004274875,0.0011410674,0.00008940959,0.010305123,0.16619392,0.27796194,0.00019229195],"about_ca_topic_score_codex":0.00013611552,"about_ca_topic_score_gemma":0.00047942536,"teacher_disagreement_score":0.79834807,"about_ca_system_score_codex":0.000022180018,"about_ca_system_score_gemma":0.00002481682,"threshold_uncertainty_score":0.2781644},"labels":[],"label_agreement":null},{"id":"W3213096363","doi":"10.4236/ti.2021.124012","title":"The Disparity in Inflation Rates between the Group of Twenty (G20) and the Sub-Saharan Africa (SSA)","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Theory and Policy","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":"Economics; Inflation (cosmology); Real interest rate; Monetary policy; Macroeconomics; Monetary economics","score_opus":0.020916088519950023,"score_gpt":0.2214536041182631,"score_spread":0.20053751559831307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213096363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96676683,0.018440567,0.000018148367,0.010661646,0.000057898753,0.00018763836,0.000023070754,0.000011759029,0.0038324501],"genre_scores_gemma":[0.99715286,0.0023040243,0.000022261402,0.00033800903,0.000023799937,0.000040042767,0.000003971675,0.0000043380255,0.00011071241],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992749,0.00005631116,0.00034811784,0.00016424959,0.00000845661,0.00014798225],"domain_scores_gemma":[0.99913377,0.00037899832,0.00018073538,0.0002820153,0.000007263203,0.000017220438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093685533,0.000080166225,0.00021619494,0.000082245904,0.00020524497,0.00002730009,0.00015503036,0.00010681335,0.000009291076],"category_scores_gemma":[0.0001770603,0.00004917167,0.000029306015,0.00021093222,0.000798358,0.00006635287,0.00012972193,0.00018697279,0.000008467185],"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":[0.000012596637,0.000010759752,0.15507767,0.000005833249,0.000024578869,2.4514975e-7,0.00023563777,0.0000011556675,0.000009848867,0.8436254,0.000109087065,0.000887185],"study_design_scores_gemma":[0.0005053516,0.00002086754,0.20342071,0.000006203726,0.0000060793577,0.0000017950122,0.0001050509,0.00008191297,0.0004538296,0.77173924,0.023608264,0.000050690796],"about_ca_topic_score_codex":0.000057865338,"about_ca_topic_score_gemma":0.00013242496,"teacher_disagreement_score":0.07188616,"about_ca_system_score_codex":0.000019065008,"about_ca_system_score_gemma":0.000008970432,"threshold_uncertainty_score":0.29415834},"labels":[],"label_agreement":null},{"id":"W3213529800","doi":"10.4236/ti.2021.124013","title":"Customer-Centric Service Provision in Academic Libraries in Universities: Systematic Literature Review","year":2021,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","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":"Service (business); Business; Systematic review; Academic library; Process management; Marketing; Public relations; Computer science; Political science; Library science; MEDLINE","score_opus":0.016226709083241773,"score_gpt":0.24505253816780495,"score_spread":0.22882582908456317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213529800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62263596,0.33571443,0.000003845466,0.033465486,0.00016534913,0.0011045965,0.0000033532403,0.00027790313,0.0066290586],"genre_scores_gemma":[0.8150891,0.037784036,0.00025264462,0.14524443,0.000149208,0.00019840174,0.00015156389,0.000041299187,0.0010893225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"systematic_review","domain_scores_codex":[0.99888957,0.00004433807,0.00038266822,0.00030415686,0.00013034102,0.00024894447],"domain_scores_gemma":[0.99946165,0.000034954963,0.00014866181,0.00026232662,0.000080285296,0.000012137948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035304984,0.00016736683,0.0004010949,0.00087889034,0.00007247162,0.000066033244,0.0002297048,0.00027686066,0.000048908994],"category_scores_gemma":[0.00006708672,0.00015130387,0.000026553398,0.0041936296,0.00005813692,0.0009375114,0.00035163626,0.00048636505,0.00008671047],"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":[0.000015499127,0.00011964886,0.0071573015,0.18575336,0.000020433336,0.0002706304,0.0005759961,0.0000043486707,0.000053497442,0.8045965,0.0010582706,0.00037450547],"study_design_scores_gemma":[0.005596641,0.000069013135,0.013528529,0.58037317,0.00058160536,0.00022881127,0.040534567,0.0030882682,0.0004735791,0.15720244,0.19620371,0.002119688],"about_ca_topic_score_codex":0.000054932058,"about_ca_topic_score_gemma":0.00014838944,"teacher_disagreement_score":0.64739406,"about_ca_system_score_codex":0.00006654287,"about_ca_system_score_gemma":0.00006498847,"threshold_uncertainty_score":0.6169993},"labels":[],"label_agreement":null},{"id":"W4212921927","doi":"10.4236/ti.2022.131002","title":"User Education Practices on Utilization of Electronic Resources at the Kenya Revenue Authority Library, Nairobi","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Library Science and Information Literacy","field":"Social Sciences","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":"Revenue; Information needs; Computer science; Population; Process (computing); Knowledge management; World Wide Web; Business; Sociology","score_opus":0.019785240022651696,"score_gpt":0.2996492809998048,"score_spread":0.2798640409771531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212921927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92752403,0.00086048304,0.0000013680967,0.040659726,0.0001423522,0.0002504793,0.0000072675452,0.00006284288,0.03049147],"genre_scores_gemma":[0.9715255,0.00022817831,0.000067638335,0.0068338728,0.000036323723,0.00007279664,0.000018816334,0.0000032728046,0.021213641],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926275,0.00016405676,0.00013802556,0.000113168906,0.00018289412,0.00013911338],"domain_scores_gemma":[0.99945617,0.00005456254,0.00029206733,0.00015923506,0.000014061657,0.000023921124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041950485,0.000047605743,0.000056753102,0.00015842849,0.0010278877,0.000030559364,0.00025633234,0.000049725448,0.000405561],"category_scores_gemma":[0.000114000475,0.000036499536,0.0000149049565,0.0006581897,0.00037089497,0.0016057818,0.00014783922,0.00015588071,0.000009158588],"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":[0.000012286718,0.00005025388,0.0048008426,0.0000031662566,0.000003842956,7.23043e-8,0.005586592,0.000005332864,0.000029824258,0.9665879,0.019067597,0.0038522873],"study_design_scores_gemma":[0.00005098767,0.00014563052,0.002527488,0.0000052422442,0.000004058575,0.0000014807329,0.006960861,0.000020873431,0.00064363197,0.049734563,0.93986505,0.000040140974],"about_ca_topic_score_codex":0.000056625187,"about_ca_topic_score_gemma":0.000013888713,"teacher_disagreement_score":0.92079747,"about_ca_system_score_codex":0.000054597785,"about_ca_system_score_gemma":0.00026441267,"threshold_uncertainty_score":0.7905785},"labels":[],"label_agreement":null},{"id":"W4213307966","doi":"10.4236/ti.2022.131001","title":"How AI-Human Symbiotes May Reinvent Innovation and What the New Centaurs Will Mean for Cities","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"HEC Montréal; Université de Strasbourg; McGill University","keywords":"Centaur; Section (typography); Realization (probability); Field (mathematics); CONTEST; Point (geometry); Computer science; Industrial organization; Data science; Economics; Political science; History","score_opus":0.01537922305269647,"score_gpt":0.2172589347878535,"score_spread":0.201879711735157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213307966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945269,0.008248294,0.0003256955,0.044417746,0.00031969632,0.0004592567,0.000009548034,0.0008312043,0.00011955931],"genre_scores_gemma":[0.997117,0.0005541893,0.00034294778,0.0012206853,0.00003121463,0.0002417234,0.000019032801,0.000017693666,0.0004555438],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943864,0.0000075819507,0.00012620076,0.0001575865,0.00007203285,0.00019796813],"domain_scores_gemma":[0.9996997,0.000022212334,0.00003459362,0.00021176168,0.000015808466,0.00001593676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009446499,0.00012885203,0.00012748565,0.0003004551,0.00038482412,0.00010387714,0.00015053316,0.00010492044,0.00001054286],"category_scores_gemma":[0.000015725156,0.00010455555,0.000017306043,0.00032267836,0.0002848981,0.00023974609,0.00018796472,0.00022726957,2.1997354e-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":[0.0000030061888,0.0000065933364,0.00038299008,0.000027541808,0.00004550499,0.0000010528811,0.00026510464,0.000025000616,0.0018296842,0.9758404,0.009738277,0.011834844],"study_design_scores_gemma":[0.00050274876,0.00039236603,0.00022618865,0.000029694114,0.000030229683,0.000035811456,0.023407679,0.00060375704,0.03332183,0.5550237,0.3861929,0.0002330389],"about_ca_topic_score_codex":0.0000081171065,"about_ca_topic_score_gemma":0.000009315179,"teacher_disagreement_score":0.42081666,"about_ca_system_score_codex":0.000059762955,"about_ca_system_score_gemma":0.00000916422,"threshold_uncertainty_score":0.42636517},"labels":[],"label_agreement":null},{"id":"W4225651253","doi":"10.4236/ti.2022.132003","title":"Applying Geographic Information System (GIS) for Solar Power Plants Site Selection Support in Makkah","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","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":"Renewable energy; Geographic information system; Site selection; Electricity; Solar energy; Environmental science; Electricity generation; Photovoltaic system; Energy planning; Solar power; Computer science; Environmental resource management; Environmental economics; Geography; Power (physics); Remote sensing; Engineering","score_opus":0.007694807480212939,"score_gpt":0.20496450571922714,"score_spread":0.1972696982390142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225651253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9217822,0.00019719273,0.073057145,0.00075524824,0.0005416412,0.0019531583,0.000036337486,0.0007766031,0.00090046617],"genre_scores_gemma":[0.9947813,0.0000060894577,0.0025937813,0.0015026822,0.0000042620695,0.0010654371,0.00002495584,0.0000033355184,0.000018144345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993617,0.000025068925,0.0001871569,0.00015026538,0.00010675243,0.00016908089],"domain_scores_gemma":[0.99970466,0.00001449862,0.00008726476,0.0001476063,0.000018732833,0.00002726058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031487507,0.00007497331,0.00009413583,0.0007275676,0.00026212266,0.000033375898,0.0001782205,0.00007949245,0.0000064965543],"category_scores_gemma":[0.000009126047,0.00008085975,0.00001901678,0.00054716785,0.000023914272,0.00031371115,0.00012979096,0.00016269353,0.00000596249],"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":[0.000035300513,0.00007451896,0.07235324,0.00007136788,0.000032119988,0.0000068582135,0.0021465325,0.00032012523,0.0011437453,0.9128077,0.0015986759,0.00940983],"study_design_scores_gemma":[0.0035506564,0.0016350107,0.018983679,0.00003565996,0.000018757533,0.00052447856,0.0029273944,0.38220352,0.008896079,0.03342545,0.5471001,0.00069918064],"about_ca_topic_score_codex":0.000017880138,"about_ca_topic_score_gemma":0.0000075307566,"teacher_disagreement_score":0.87938225,"about_ca_system_score_codex":0.00009095879,"about_ca_system_score_gemma":0.000037289192,"threshold_uncertainty_score":0.32973647},"labels":[],"label_agreement":null},{"id":"W4243637181","doi":"10.4236/ti.2008.21003","title":"Global Chemical Leasing Award 2010","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","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":"Business; Christian ministry; Payment; Agriculture; Subsidy; Chemical products; Production (economics); Service (business); Chemical industry; Natural resource economics; Finance; Marketing; Environmental science; Economics; Engineering; Political science; Environmental engineering","score_opus":0.009494458039434099,"score_gpt":0.1850844602828206,"score_spread":0.1755900022433865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243637181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95867497,0.00006173854,0.0001059025,0.00020806059,0.00003328343,0.000031607095,9.74052e-7,0.00013136408,0.04075208],"genre_scores_gemma":[0.9959936,0.000005248776,0.003604618,0.00024063145,0.000008376239,0.000007901178,0.0000010785074,0.0000031652917,0.00013535256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995504,0.000001520905,0.00007484414,0.00016777446,0.000048734248,0.00015675116],"domain_scores_gemma":[0.99979335,0.0000024040314,0.000015023008,0.00012728332,0.0000012056137,0.00006074699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024249595,0.00007822989,0.00006845814,0.000009576186,0.000030494113,0.00000249722,0.00010556413,0.00013585322,0.00038589683],"category_scores_gemma":[0.000013602629,0.00007266022,0.000014251125,0.00014251057,0.00031422227,0.00003882511,0.000172191,0.000090301604,0.000060705297],"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":[0.000028537994,0.0002327728,0.12657662,0.00002628768,0.000036118814,0.00003932437,0.00018039407,0.000011914814,0.7737706,0.08051544,0.0049484493,0.013633596],"study_design_scores_gemma":[0.00025479827,0.000031742642,0.007867986,0.000011835382,0.000013939476,0.0000922322,0.00004063557,0.0001893416,0.9053031,0.078387745,0.0075986627,0.00020795029],"about_ca_topic_score_codex":0.000019604895,"about_ca_topic_score_gemma":9.944521e-7,"teacher_disagreement_score":0.13153256,"about_ca_system_score_codex":0.00006232054,"about_ca_system_score_gemma":0.000001986925,"threshold_uncertainty_score":0.42252997},"labels":[],"label_agreement":null},{"id":"W4250126693","doi":"10.4236/ti.2008.21006","title":"Research and Development Cooperation between Rivals: A Novel Motive beyond New Knowledge","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","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":"Quality (philosophy); Incentive; Product (mathematics); Process (computing); Business; Constraint (computer-aided design); Selection (genetic algorithm); Marketing; New product development; Industrial organization; Microeconomics; Process management; Economics; Computer science","score_opus":0.16093136976110992,"score_gpt":0.30269032434187015,"score_spread":0.14175895458076024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250126693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95602,0.00045223616,0.0017399426,0.0013890396,0.00009010014,0.00035834522,7.839169e-7,0.00017746702,0.03977207],"genre_scores_gemma":[0.9955028,0.000012070433,0.003293001,0.0004921675,0.00016567955,0.00003947374,0.000025449854,0.0000124134185,0.00045694227],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99915165,0.000005708902,0.00022173325,0.00028604292,0.00009370563,0.00024116527],"domain_scores_gemma":[0.9995012,0.0000147570245,0.00007072372,0.0001350337,0.00026304153,0.00001524282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041797193,0.0001349408,0.00014774846,0.00079537445,0.00037071918,0.00006826357,0.00011885314,0.00020251588,0.000058037822],"category_scores_gemma":[0.000046685534,0.00012030146,0.0000059761287,0.0009988227,0.00032817753,0.00059260277,0.00024038086,0.00022899067,0.00009793573],"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":[0.000013535853,0.000101561294,0.016629433,0.000042799194,0.000028115212,0.000001079848,0.00025119673,1.280368e-7,0.0006051039,0.966668,0.0009837766,0.0146752875],"study_design_scores_gemma":[0.0022643565,0.00020679107,0.29489335,0.00016453752,0.00005297786,0.000009198424,0.0013364633,0.00019150453,0.016190466,0.43887472,0.24517386,0.00064179907],"about_ca_topic_score_codex":0.00009775154,"about_ca_topic_score_gemma":0.00004078137,"teacher_disagreement_score":0.5277933,"about_ca_system_score_codex":0.000027282387,"about_ca_system_score_gemma":0.0000730634,"threshold_uncertainty_score":0.49057513},"labels":[],"label_agreement":null},{"id":"W4250950103","doi":"10.2307/j.ctt1tg5m03.2","title":"Table of Contents","year":2017,"lang":"en","type":"book-chapter","venue":"Technology and Investment","topic":"Diverse Scientific and Economic Studies","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":"Table (database); Computer science; Database","score_opus":0.05848295337448913,"score_gpt":0.20458225937083618,"score_spread":0.14609930599634705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250950103","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":[0.00033487464,0.010072746,0.0000049902437,0.00025524246,0.00069103,0.00014240455,0.00042442113,0.000029548337,0.98804474],"genre_scores_gemma":[0.009040935,0.0012643423,0.00012990295,0.00016317835,0.000018670738,0.000009337837,0.000008170421,0.000013010252,0.98935246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909985,5.8877254e-7,0.00036372643,0.00037019743,0.000015046157,0.0001505721],"domain_scores_gemma":[0.99888724,0.0000063111547,0.00058590685,0.00046773802,0.000020497826,0.000032305972],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00013589623,0.00015667544,0.00056010025,0.0003910377,0.0001239268,0.000016797394,0.00024684402,0.00030453136,0.0021826946],"category_scores_gemma":[0.000028351313,0.00017303127,0.00005751907,0.000011749347,0.00078403257,0.00006258561,0.00024841077,0.00013158593,0.0023000059],"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":[0.0000025718432,0.000009203463,0.00041584633,0.00001912218,0.00013754604,0.0000020900325,0.000030293237,9.136365e-8,0.000001453714,0.95206046,0.04704221,0.00027913603],"study_design_scores_gemma":[0.0001603384,0.000030823845,0.00003749196,0.00002848108,0.000008769317,0.0000013335413,0.000015009078,0.00000405711,0.000025948182,0.42031,0.57928044,0.00009730538],"about_ca_topic_score_codex":0.000021599026,"about_ca_topic_score_gemma":0.0000037725279,"teacher_disagreement_score":0.53223825,"about_ca_system_score_codex":0.000027533473,"about_ca_system_score_gemma":0.000008948171,"threshold_uncertainty_score":0.99872947},"labels":[],"label_agreement":null},{"id":"W4285196184","doi":"10.4236/ti.2022.132005","title":"Mixed Method Research on Technological Teaching System Based on Human Resource Management Practices (HRMP): Study Pertaining to Majors in Nursing Undergraduate Programme","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","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":"Thematic analysis; Human resources; Resource (disambiguation); Value (mathematics); Medical education; Qualitative property; Statistical analysis; Human resource management; Knowledge management; Qualitative research; Computer science; Psychology; Mathematics education; Medicine; Sociology; Management","score_opus":0.11058358254592557,"score_gpt":0.39875387743359514,"score_spread":0.28817029488766954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285196184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96081114,0.000021179761,0.00020166452,0.013996532,0.0000929687,0.0019712672,0.0000011506462,0.0007271603,0.022176951],"genre_scores_gemma":[0.9944158,2.9988928e-7,0.0028558746,0.0016466825,0.00003363556,0.00082215125,0.000015139982,0.00003293573,0.00017744761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9975545,0.00032087372,0.00033529606,0.000682235,0.00062989496,0.0004771941],"domain_scores_gemma":[0.9992004,0.00013694775,0.00020380244,0.00038729454,0.000045922687,0.000025621075],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003206283,0.00021557897,0.00023851676,0.0035371024,0.0014931445,0.00015303011,0.0003669742,0.00010924061,0.00003106971],"category_scores_gemma":[0.00021434129,0.00020116325,0.00002612895,0.002283419,0.00012518266,0.00013536235,0.00046666534,0.001072056,0.000035251367],"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":[0.00009163218,0.0012054766,0.026691688,0.00003854546,0.000019022578,0.00012466502,0.00011840571,0.00054192403,0.00011044521,0.94149995,0.0004240681,0.029134167],"study_design_scores_gemma":[0.008987703,0.004353496,0.14921886,0.0012299502,0.0003468685,0.000066659944,0.59523267,0.013011712,0.00040324585,0.06935326,0.15596361,0.0018319787],"about_ca_topic_score_codex":0.0001200689,"about_ca_topic_score_gemma":0.00003320793,"teacher_disagreement_score":0.8721467,"about_ca_system_score_codex":0.0005588253,"about_ca_system_score_gemma":0.000016639058,"threshold_uncertainty_score":0.99980676},"labels":[],"label_agreement":null},{"id":"W4289181581","doi":"10.4236/ti.2022.133006","title":"Peril or Promise—How the SME Banking Sector Will Perform in 2022 and beyond? Do We See an Overreliance on Recovery?","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"COVID-19 Pandemic Impacts","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":"Loan; Recession; Business; Financial crisis; Competition (biology); Financial system; Finance; Economic recovery; Economics","score_opus":0.035449409023809206,"score_gpt":0.23525507723438346,"score_spread":0.19980566821057427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289181581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97048247,0.006415312,0.000007109114,0.020357244,0.00023792141,0.00048092325,0.00007500734,0.00006903772,0.0018749626],"genre_scores_gemma":[0.99202365,0.0014806426,0.00012659095,0.005171207,0.000032435535,0.00022658095,0.000005235937,0.000020791755,0.00091285695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883634,0.000028401479,0.0002659854,0.00049408746,0.000050937473,0.0003242724],"domain_scores_gemma":[0.9992714,0.00007121811,0.00018009295,0.00041834798,0.0000065449144,0.000052412994],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059952214,0.00017370474,0.00028610154,0.0005195277,0.0003389437,0.00004968736,0.00025890063,0.00013879141,0.000914913],"category_scores_gemma":[0.00014430867,0.0001479692,0.000026703421,0.0005299985,0.00018016213,0.00023390882,0.0002784685,0.0005278269,0.000010046102],"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":[0.00031867018,0.00025376666,0.101368174,0.00007011708,0.00007114531,0.00003439647,0.0034325842,0.00013540691,0.00018468742,0.869686,0.0027403247,0.021704692],"study_design_scores_gemma":[0.001962388,0.002313777,0.018387599,0.000043670105,0.0000106093,0.00008355006,0.0017693564,0.0047198273,0.00021503496,0.5402328,0.42976165,0.00049974286],"about_ca_topic_score_codex":0.000046280904,"about_ca_topic_score_gemma":0.000056655455,"teacher_disagreement_score":0.42702132,"about_ca_system_score_codex":0.00036321467,"about_ca_system_score_gemma":0.000060834936,"threshold_uncertainty_score":0.9999984},"labels":[],"label_agreement":null},{"id":"W4292589232","doi":"10.4236/ti.2022.133007","title":"Adoption of ICT-in-Agriculture Innovations by Smallholder Farmers in Kenya","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":20,"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":"Business; Agriculture; Information and Communications Technology; Livelihood; Functional illiteracy; Population; Productivity; Developing country; Food security; Economic growth; Agricultural economics; Marketing; Economics; Geography; Political science","score_opus":0.009759165860490832,"score_gpt":0.19704418156942294,"score_spread":0.1872850157089321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292589232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857301,0.00008391111,0.0000137882325,0.005346051,0.00010196011,0.0001958815,0.0000023440066,0.000038736536,0.008487192],"genre_scores_gemma":[0.9939863,0.000007066799,0.00015953339,0.0052317837,0.000011180377,0.00011160404,0.00007989536,0.0000045613806,0.00040808492],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994133,0.000004534836,0.00026106567,0.00014054133,0.000060591392,0.000119981785],"domain_scores_gemma":[0.9997718,0.0000036932463,0.00012112431,0.000070468865,0.000030568717,0.000002347562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021284663,0.00007274719,0.000110586065,0.00070956704,0.000090901725,0.0000096594995,0.00009007505,0.00006673609,0.00013590045],"category_scores_gemma":[0.000010459227,0.00007257889,0.000009252879,0.0011242168,0.000063837266,0.00013561462,0.00013452809,0.00017512805,0.000008389172],"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":[0.000005079155,0.00012075863,0.12457074,0.000016148613,0.000008479023,0.0000015318697,0.00010882616,0.00003436298,0.0010902007,0.8636667,0.008808428,0.0015687384],"study_design_scores_gemma":[0.002288549,0.00004376701,0.20304699,0.00002842745,0.000011348621,0.0000039094275,0.011033499,0.00038598303,0.0005281318,0.065886244,0.7163398,0.00040330354],"about_ca_topic_score_codex":0.00004386849,"about_ca_topic_score_gemma":0.000023653469,"teacher_disagreement_score":0.79778045,"about_ca_system_score_codex":0.00008695917,"about_ca_system_score_gemma":0.000015749401,"threshold_uncertainty_score":0.29596815},"labels":[],"label_agreement":null},{"id":"W4312243769","doi":"10.4236/ti.2022.134008","title":"Impact of Core Employee Equity Incentive on Enterprise Performance","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"Incentive; Business; Equity (law); Equity capital markets; Incentive program; Equity risk; Finance; Return on equity; Shareholder; Economics; Microeconomics; Corporate governance; Private equity; Profitability index","score_opus":0.02717469529967356,"score_gpt":0.2584170160861949,"score_spread":0.23124232078652132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312243769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951176,0.00011978434,0.000007264661,0.00024495396,0.000094987576,0.00016642566,0.000014641327,0.00007160291,0.00416274],"genre_scores_gemma":[0.9983778,0.000027773525,0.000016301665,0.001333318,0.000032165484,0.000050225237,0.000008451415,0.000007960667,0.00014602329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993451,0.000003014123,0.0001474133,0.0001911915,0.00013730313,0.00017594421],"domain_scores_gemma":[0.99953175,0.00000619389,0.00022047918,0.00020422868,0.0000318549,0.000005500487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001078887,0.00011300901,0.00015404209,0.00025307873,0.00017960845,0.000009732663,0.00020191346,0.000041159787,0.00012914931],"category_scores_gemma":[0.000014676199,0.00009915507,0.000041386844,0.0005102679,0.00014264986,0.00019165588,0.0005304053,0.00017754026,0.000023251714],"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":[0.00012101559,0.00014441322,0.88020915,0.000028739929,0.000024306419,0.0000074063773,0.000018627563,0.00007874516,0.0003114081,0.11090606,0.0033993982,0.004750739],"study_design_scores_gemma":[0.0007216344,0.00050860824,0.9593666,0.000040080402,0.000021370168,0.0000032667576,0.000053429878,0.0004833753,0.00024525123,0.023494262,0.014899929,0.00016219543],"about_ca_topic_score_codex":0.000074248645,"about_ca_topic_score_gemma":0.0000041192993,"teacher_disagreement_score":0.0874118,"about_ca_system_score_codex":0.00008034779,"about_ca_system_score_gemma":0.000023732251,"threshold_uncertainty_score":0.40434262},"labels":[],"label_agreement":null},{"id":"W4312899227","doi":"10.4236/ti.2022.134009","title":"Development Strategy of New Energy Business for Traditional Car Manufacturers under the Dual-Credit Policy","year":2022,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","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":"National Natural Science Foundation of China","keywords":"Dual (grammatical number); Business; Industrial organization; Order (exchange); Business model; Finance; Marketing","score_opus":0.017772067889146936,"score_gpt":0.2012101918757883,"score_spread":0.1834381239866414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312899227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883805,0.0019445041,0.0034912117,0.0044705495,0.00019779499,0.0002463225,0.00004490593,0.00019533219,0.0010289156],"genre_scores_gemma":[0.99740565,0.000038086866,0.0013814317,0.00077639247,0.00007425513,0.000091430986,0.000037694437,0.000012978408,0.00018208007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950737,0.0000052841015,0.00013845785,0.00010226972,0.00008504822,0.00016158982],"domain_scores_gemma":[0.99981207,0.000013279348,0.000030110263,0.00010223452,0.0000138356745,0.000028480608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038694896,0.00009957882,0.000106028994,0.0001753818,0.00015447286,0.0000049529217,0.0001061666,0.00007699671,0.00004809538],"category_scores_gemma":[0.0000023714024,0.0000775309,0.000018100465,0.0003203072,0.0000708963,0.000025904897,0.00003718789,0.00012815458,2.0071191e-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":[0.000008578368,0.000015692607,0.00001095244,0.000019043478,0.000103539576,0.0000011812731,0.0001271322,0.01937544,0.0033296708,0.94069016,0.014243837,0.022074789],"study_design_scores_gemma":[0.00086174626,0.0001921988,0.006118088,0.000007616219,0.00003156199,0.0001160326,0.00086954486,0.0018606388,0.055218548,0.53424704,0.40021375,0.0002632174],"about_ca_topic_score_codex":0.000021689597,"about_ca_topic_score_gemma":0.000007103809,"teacher_disagreement_score":0.4064431,"about_ca_system_score_codex":0.000094855204,"about_ca_system_score_gemma":0.00014304958,"threshold_uncertainty_score":0.31616184},"labels":[],"label_agreement":null},{"id":"W4319761182","doi":"10.4236/ti.2023.141001","title":"HRIS Mediating Role the Relationship between TOE and Decision Making","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","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":"Knowledge management; Business; Process management; Context (archaeology); Decision quality; Information technology; Human resource management system; Process (computing); Human resource management; Marketing; Computer science","score_opus":0.04122342278721162,"score_gpt":0.2728483850686901,"score_spread":0.23162496228147847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319761182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921635,0.00037800212,0.00006829054,0.003947888,0.00008184756,0.00012395642,8.859819e-7,0.00041974863,0.0028158936],"genre_scores_gemma":[0.9982655,0.000014351398,0.0003379833,0.0010782713,0.00020304807,0.000025633202,0.0000077841705,0.000011437934,0.000055966368],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993704,0.000005288896,0.00015235921,0.00018560438,0.000097273274,0.00018906171],"domain_scores_gemma":[0.99943453,0.00030856315,0.00007662112,0.00015743298,0.000015904132,0.0000069729913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040426094,0.00009491597,0.000108885644,0.00040321608,0.00051792944,0.00008418934,0.00011695255,0.00011794619,0.0000063280304],"category_scores_gemma":[0.00038195448,0.000067876856,0.000015692127,0.00072118413,0.00013904418,0.00020056753,0.00026549888,0.00017671305,0.00009838876],"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":[0.0000031192928,0.0000032210378,0.73069876,0.000016425487,0.000008688397,0.0000017583174,0.000081090955,0.0000026705513,0.000020331856,0.2468431,0.0012769954,0.021043824],"study_design_scores_gemma":[0.000178938,0.000008292716,0.4124525,0.00005885235,0.000025911582,0.0000014998068,0.00050432846,0.000454126,0.000016921394,0.5793634,0.006855411,0.000079794845],"about_ca_topic_score_codex":0.000020239126,"about_ca_topic_score_gemma":0.000011011535,"teacher_disagreement_score":0.33252034,"about_ca_system_score_codex":0.000009494901,"about_ca_system_score_gemma":0.000003987375,"threshold_uncertainty_score":0.39835468},"labels":[],"label_agreement":null},{"id":"W4321122028","doi":"10.4236/ti.2023.141003","title":"Using Part of Business Analytics for Learning and Working","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","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":"Business analytics; Business analysis; New business development; Business rule; Computer science; Artifact-centric business process model; Business process modeling; Knowledge management; Analytics; Business intelligence; Business transformation; Business case; Business statistics; Business relationship management; Data science; Process management; Business model; Business; Business process; Electronic business; Marketing; Statistics","score_opus":0.14469272733856667,"score_gpt":0.31543760439016655,"score_spread":0.17074487705159988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321122028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99235916,0.00065277464,0.0034484686,0.0012404954,0.00023005556,0.00025302416,0.0000027720594,0.0002844949,0.0015287328],"genre_scores_gemma":[0.9977654,0.00017454865,0.0012729102,0.00033638504,0.00015396197,0.000019255005,0.000027408256,0.000015677953,0.00023440263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993481,0.0000023387354,0.00018223385,0.0002048942,0.00006749504,0.00019493325],"domain_scores_gemma":[0.9996221,0.00002892079,0.0001342972,0.000108847016,0.00009963212,0.000006204939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000203545,0.00010654188,0.00017454752,0.0005946759,0.00017622886,0.000042306794,0.00009606317,0.00011371474,0.0000126753985],"category_scores_gemma":[0.00016313454,0.000096854834,0.000015451322,0.0014198882,0.00023951835,0.00020698774,0.00024156115,0.000083573126,0.000006118957],"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":[0.000038577888,0.00005049667,0.14574522,0.0006989351,0.00007418167,0.0000067260576,0.000033560198,0.00030592154,0.004033415,0.78656584,0.0010658184,0.061381344],"study_design_scores_gemma":[0.000702617,0.000038788487,0.011381405,0.00052277354,0.00023230657,0.000013503319,0.0008446575,0.0811504,0.002425282,0.17714907,0.72504896,0.0004902656],"about_ca_topic_score_codex":0.000022313581,"about_ca_topic_score_gemma":0.000006623297,"teacher_disagreement_score":0.7239831,"about_ca_system_score_codex":0.000006569792,"about_ca_system_score_gemma":0.000010112732,"threshold_uncertainty_score":0.39496255},"labels":[],"label_agreement":null},{"id":"W4321122153","doi":"10.4236/ti.2023.141002","title":"Factors Hindering the Adoption of the Customs Electronic Licensing System (CELS) by Clearing and Forwarding Agents in Zambia","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Digital Economy and Work Transformation","field":"Social Sciences","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":"Clearing; Business; The Internet; Revenue; Sample (material); Process (computing); Population; Computer science; Finance; World Wide Web; Environmental health; Medicine","score_opus":0.023996097324232045,"score_gpt":0.2503039523676933,"score_spread":0.22630785504346126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321122153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518454,0.00014398874,0.000014525174,0.0009156288,0.000049646565,0.00018199833,7.2624226e-7,0.00007378564,0.0034351798],"genre_scores_gemma":[0.9998044,0.000089730005,0.0000032356293,0.00004521894,0.0000038930575,0.0000068581476,0.0000011378442,0.000002812614,0.00004270982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99955195,0.000027026455,0.00011388185,0.00007951815,0.00005711132,0.00017049724],"domain_scores_gemma":[0.99984866,0.000023422619,0.000048675618,0.000060708564,0.0000055918467,0.000012960178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003019246,0.000047475227,0.0000717596,0.000089550915,0.00029198438,0.000025255515,0.00007378855,0.0000803883,6.820316e-7],"category_scores_gemma":[0.00001528199,0.000031942134,0.0000144803425,0.0003583107,0.00019358513,0.0001638381,0.000041714036,0.00010818271,0.0000013674235],"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":[0.0000037041425,0.000010288713,0.048887514,0.000038595314,0.000021653012,2.3974442e-7,0.009173195,0.000050510782,0.00017559045,0.92479163,0.000068766676,0.016778313],"study_design_scores_gemma":[0.0020189614,0.00031927688,0.32060754,0.0013557092,0.00012479626,0.000009436892,0.44867545,0.012002042,0.014873787,0.13823414,0.06092962,0.00084923534],"about_ca_topic_score_codex":0.00012417749,"about_ca_topic_score_gemma":0.00020779565,"teacher_disagreement_score":0.7865575,"about_ca_system_score_codex":0.00008557871,"about_ca_system_score_gemma":0.0000161932,"threshold_uncertainty_score":0.22457373},"labels":[],"label_agreement":null},{"id":"W4377288291","doi":"10.4236/ti.2023.142005","title":"Development of Cost of Debt and Risk Formula for a Period of Financial Turbulence Focus: The Cost of Global Financial Crisis","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Banking stability, regulation, efficiency","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":"Finance; Financial crisis; Financial system; Business; Debt; Economics; Financial risk; Financial market; Macroeconomics","score_opus":0.01788348358011245,"score_gpt":0.23593614354994694,"score_spread":0.21805265996983447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377288291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938487,0.001666901,0.0029393905,0.0004035968,0.00006166377,0.0006160416,0.00035122506,0.00001776148,0.00009476601],"genre_scores_gemma":[0.9948436,0.00017860868,0.00485006,0.000020935495,0.0000051552215,0.000088002744,0.0000043692025,0.0000048495467,0.0000043974883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988666,0.000008556683,0.0006786484,0.00023266034,0.00004175229,0.0001717876],"domain_scores_gemma":[0.9990682,0.000050206512,0.0005485114,0.00024342634,0.000071994014,0.000017689035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058807945,0.000103150705,0.00037385777,0.00017897421,0.00010465949,0.000003160876,0.0001771136,0.00016416909,0.000005276252],"category_scores_gemma":[0.00043793317,0.00009314769,0.000048484293,0.000589498,0.0005269969,0.00004399379,0.00012290933,0.000062889274,7.976962e-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":[0.000043653257,0.00011558579,0.15532973,0.00014025373,0.00002789204,1.1859384e-7,0.0012289645,0.000030495825,0.0000618097,0.82675076,0.000120649056,0.016150087],"study_design_scores_gemma":[0.0008588934,0.00028039768,0.5914774,0.000045810448,0.000023044933,0.0000019804656,0.0002793364,0.0014167241,0.0073650917,0.39578593,0.0023310664,0.00013436987],"about_ca_topic_score_codex":0.00006241499,"about_ca_topic_score_gemma":0.0001203536,"teacher_disagreement_score":0.43614763,"about_ca_system_score_codex":0.000050158105,"about_ca_system_score_gemma":0.00009852386,"threshold_uncertainty_score":0.37984526},"labels":[],"label_agreement":null},{"id":"W4378176277","doi":"10.4236/ti.2023.142007","title":"The Impact of Competitive Strategies on Firm Performance: The Mediating Role of Market Orientation and Innovation: An Empirical Study of the Georgian Beverage Sector","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","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":"Rivalry; Market orientation; Competitor analysis; Marketing; Business; Market intelligence; Industrial organization; Competitive advantage; Novelty; Yield (engineering); Economics; Microeconomics","score_opus":0.020716367557733806,"score_gpt":0.2783615498558491,"score_spread":0.2576451822981153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378176277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966809,0.000022877475,0.0000010262304,0.00062219164,0.000053578166,0.0003215919,0.000003063355,0.000028645665,0.0022661143],"genre_scores_gemma":[0.9998005,0.00001184813,0.000005026244,0.000096634365,0.000034573764,0.00002399455,0.000010025503,0.0000047885896,0.000012581872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993824,0.000021127502,0.0002632589,0.000110183515,0.00012799322,0.00009504951],"domain_scores_gemma":[0.9992539,0.000059837057,0.00031816412,0.00017342957,0.00019243726,0.0000022053441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042408894,0.00008652553,0.00011280728,0.0002761515,0.0002825058,0.000029073763,0.00013145948,0.00006218382,0.000010679405],"category_scores_gemma":[0.00006975482,0.000042743868,0.000011963786,0.002171184,0.00031792102,0.00030939604,0.0000959007,0.0001252969,4.6975566e-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":[0.000097876895,0.00016532435,0.5443102,0.00006134484,0.00006630009,2.591381e-7,0.0010372582,0.00017782711,0.002022197,0.4485632,0.0001460469,0.0033521752],"study_design_scores_gemma":[0.00037008055,0.00025674803,0.9563807,0.000026844566,0.000015069053,5.896643e-7,0.018094055,0.003302293,0.0009107904,0.020473897,0.0001193111,0.0000496161],"about_ca_topic_score_codex":0.000076715005,"about_ca_topic_score_gemma":0.000026425276,"teacher_disagreement_score":0.4280893,"about_ca_system_score_codex":0.000009682151,"about_ca_system_score_gemma":0.000029557232,"threshold_uncertainty_score":0.21728347},"labels":[],"label_agreement":null},{"id":"W4378227236","doi":"10.4236/ti.2023.142006","title":"Statistical Analysis of Effect of Population on Economic Growth in Uganda (2000-2020)","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Growth and Productivity","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":"Dependency ratio; Heteroscedasticity; Population growth; Regression analysis; Population; Economics; Fertility; Dependency (UML); Linear regression; Total fertility rate; Econometrics; Demography; Statistics; Mathematics; Family planning; Research methodology","score_opus":0.0113439476441742,"score_gpt":0.2269826636023901,"score_spread":0.2156387159582159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378227236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747115,0.00021878415,0.000021553926,0.0003332782,0.00007765426,0.00013402847,0.00015578637,0.000028395907,0.0015593829],"genre_scores_gemma":[0.99967325,0.0000847471,0.000083174644,0.00003612726,0.000007639623,0.0000185,0.000060567174,0.000005629404,0.000030396031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991169,0.000022235528,0.0004253271,0.0002829292,0.000011349935,0.0001412426],"domain_scores_gemma":[0.9994707,0.00012309988,0.00019205525,0.00018480832,0.0000041687044,0.000025141791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061787944,0.00008829142,0.0005119662,0.0014718693,0.00002321279,0.0000031897891,0.00007660762,0.000118865275,0.00007025978],"category_scores_gemma":[0.0001461592,0.00009488365,0.000044081953,0.0007020105,0.00011040365,0.00004939897,0.000038543807,0.0001025536,0.0000487399],"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":[0.000021065087,0.000014535834,0.5633078,0.000020774385,0.00008497546,6.9512953e-7,0.000034462788,0.00011011139,0.000008589905,0.43597212,0.0000397434,0.00038510023],"study_design_scores_gemma":[0.00040585594,0.00033404148,0.8108302,0.0000059419312,0.000036345387,4.471904e-7,0.000011906148,0.0031825756,0.0012142974,0.18378997,0.000101487494,0.00008693016],"about_ca_topic_score_codex":0.00035807342,"about_ca_topic_score_gemma":0.00006303912,"teacher_disagreement_score":0.25218216,"about_ca_system_score_codex":0.00007601663,"about_ca_system_score_gemma":0.000007611442,"threshold_uncertainty_score":0.3869243},"labels":[],"label_agreement":null},{"id":"W4382011945","doi":"10.4236/ti.2023.142004","title":"Impact of Firm Power on Debt Structure, Bank Loan Financing and Corporate Performance in China","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","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":"Business; Finance; Loan; Maturity (psychological); Debt financing; Financial system; China; Debt; Capital call; External financing; Internal financing; Economics; Market economy","score_opus":0.010500775998768135,"score_gpt":0.2059908332444935,"score_spread":0.19549005724572535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382011945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973107,0.00020563182,0.0000010277151,0.00021385183,0.000091241745,0.00013725486,0.000002700517,0.00009583596,0.0019417659],"genre_scores_gemma":[0.99954253,0.00007955026,0.000028294413,0.0002358156,0.00002967547,0.000008205205,0.000008001948,0.000009597321,0.00005832259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934304,0.0000019387578,0.0001706793,0.00019224077,0.00006761853,0.0002245041],"domain_scores_gemma":[0.9996905,0.0000060725174,0.00014327638,0.00013704048,0.000015824857,0.0000072949265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010359582,0.00013751528,0.00018485235,0.0006238806,0.00009347517,0.000018914709,0.00009156281,0.000115648836,0.000013845411],"category_scores_gemma":[0.000022117238,0.00010875623,0.000020132757,0.00093555235,0.00016533372,0.00024052805,0.00013190569,0.00016786857,0.000019711248],"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":[0.00006452802,0.000041080748,0.83333915,0.00011162841,0.000012930808,0.000013365631,0.000078798286,0.0001894073,0.0005164254,0.15205233,0.00039482015,0.013185522],"study_design_scores_gemma":[0.00035791905,0.00015366543,0.9426942,0.00011295549,0.0000049689816,0.0000027927936,0.000017508994,0.0028713644,0.00026055126,0.05283096,0.0005675122,0.00012562858],"about_ca_topic_score_codex":0.000048791804,"about_ca_topic_score_gemma":0.000015086998,"teacher_disagreement_score":0.109355,"about_ca_system_score_codex":0.000019897358,"about_ca_system_score_gemma":0.000012409405,"threshold_uncertainty_score":0.44349504},"labels":[],"label_agreement":null},{"id":"W4382068718","doi":"10.4236/ti.2023.143008","title":"Review of Disruptive Technology in Automotive Manufactruring","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Digital Transformation in Industry","field":"Engineering","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":"Automotive industry; Manufacturing engineering; Business; Industrial organization; Process (computing); Revenue; Automation; Computer science; Engineering; Mechanical engineering","score_opus":0.012811478010100262,"score_gpt":0.24147638230752916,"score_spread":0.2286649042974289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382068718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9321584,0.015469543,0.000105385996,0.003957288,0.00014433126,0.00055437535,0.000022598095,0.0022320014,0.045356058],"genre_scores_gemma":[0.9916204,0.0077631962,0.00021998002,0.00020377985,0.000003153133,0.00011456838,0.0000071405902,0.000012316666,0.000055449294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994487,0.0000044603194,0.00023296801,0.00009854252,0.000046402773,0.0001689335],"domain_scores_gemma":[0.9997843,0.000014439192,0.000024604242,0.0001423964,0.0000163672,0.000017904682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008554493,0.00009227679,0.00017775786,0.000845272,0.000014236424,0.000002251036,0.000104626655,0.00018364307,0.000012374457],"category_scores_gemma":[0.00003266326,0.00009190309,0.000014458813,0.0012255326,0.00018137836,0.000099724195,0.000048965987,0.0002125463,0.00003918898],"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":[0.0000041425997,0.000068057656,0.0065448657,0.007872921,0.00012836086,0.000046087123,0.000500136,0.0007189879,0.0013056392,0.93370724,0.0042877067,0.044815887],"study_design_scores_gemma":[0.0016617613,0.0004221117,0.012172244,0.023631463,0.000059084363,0.00012320213,0.0046521374,0.0028866783,0.27187458,0.63601077,0.04552103,0.0009849791],"about_ca_topic_score_codex":6.141701e-7,"about_ca_topic_score_gemma":6.871238e-7,"teacher_disagreement_score":0.29769647,"about_ca_system_score_codex":0.000041200914,"about_ca_system_score_gemma":0.0000075810144,"threshold_uncertainty_score":0.37476996},"labels":[],"label_agreement":null},{"id":"W4386183428","doi":"10.4236/ti.2023.143009","title":"A Survey of Visualization Techniques and Tools for Environmental Data","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":8,"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":"Visualization; Data science; Computer science; Field (mathematics); Variety (cybernetics); Data visualization; Software visualization; Creative visualization; Software; Data mining; Scientific visualization; Data collection; Information visualization; Software development; Artificial intelligence","score_opus":0.11037385742132962,"score_gpt":0.32775371595104075,"score_spread":0.21737985852971115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386183428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986233,0.00014760933,0.00039284056,0.00012853422,0.000020655903,0.00022055526,0.00009270675,0.00013112708,0.00024267493],"genre_scores_gemma":[0.9969472,0.0001404254,0.0024945983,0.000039940845,0.00000771342,0.00003280547,0.00019612537,0.000006895293,0.00013427976],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99949366,0.000020245121,0.00012219793,0.00020013338,0.00005877484,0.0001049973],"domain_scores_gemma":[0.99965364,0.0000754455,0.00005136688,0.00019740446,0.0000015143404,0.000020620535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046312565,0.00005828824,0.00008590921,0.000061751234,0.00007753368,0.000008355046,0.000111269444,0.00007932738,0.000009248606],"category_scores_gemma":[0.00011074865,0.000054430333,0.00000462068,0.00017814756,0.00032935097,0.00015542997,0.000422302,0.00003436085,0.0000045530414],"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":[0.000024353,0.00008214743,0.34418517,0.000043428056,0.000024601386,0.0000021162643,0.00023655611,0.0000042342244,0.014106191,0.008591131,0.00193469,0.6307654],"study_design_scores_gemma":[0.0012439191,0.0015366309,0.7211991,0.00011487609,0.000067375906,0.000033681932,0.0013643091,0.023682712,0.13863336,0.029481249,0.081944935,0.00069786934],"about_ca_topic_score_codex":0.000041677005,"about_ca_topic_score_gemma":0.000007894263,"teacher_disagreement_score":0.63006747,"about_ca_system_score_codex":0.00001466064,"about_ca_system_score_gemma":0.000002066835,"threshold_uncertainty_score":0.22196046},"labels":[],"label_agreement":null},{"id":"W4386237923","doi":"10.4236/ti.2023.143010","title":"The Mediating Role of Risk, Credibility, and Convenience in the Relationship between Initial Trust and Purchase Intention in Online Shopping","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","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":"Credibility; Mediation; Risk perception; Business; Source credibility; Computer-assisted web interviewing; E-commerce; Marketing; Advertising; Perception; Psychology; Computer science; Political science","score_opus":0.1710632559682314,"score_gpt":0.4080606909087173,"score_spread":0.23699743494048592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386237923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99350697,0.00046727262,0.000027114476,0.005651804,0.000032253243,0.00020822007,0.000021094671,0.000055237597,0.000030035893],"genre_scores_gemma":[0.999579,0.00010632829,0.00018650928,0.00007790541,0.0000067752635,0.000026995855,0.00000593217,0.0000026858215,0.000007870743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986779,0.00021061249,0.00047642345,0.00026437786,0.0002106133,0.00016003789],"domain_scores_gemma":[0.99749786,0.0019842295,0.00017860338,0.0002800292,0.000035908066,0.000023370785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034894554,0.00007973196,0.00015899891,0.00070922804,0.00022942065,0.000026093758,0.0002785319,0.0001996253,0.0000018843873],"category_scores_gemma":[0.0066139,0.000048404778,0.000014428766,0.0013503403,0.0010931712,0.00011028296,0.00027107968,0.0004790661,0.0000021749152],"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":[0.0000062847657,0.000018073351,0.9074536,0.0000015457068,0.0000015582186,0.0000020436646,0.0010138031,8.472233e-7,0.000052483065,0.07436851,0.0000065971976,0.017074667],"study_design_scores_gemma":[0.0002610052,0.000046862348,0.68911856,0.000012678584,0.000004963879,0.000004804467,0.014639582,0.0006361842,0.00006026932,0.29509628,0.000085779284,0.00003301843],"about_ca_topic_score_codex":0.00004100671,"about_ca_topic_score_gemma":0.0003393212,"teacher_disagreement_score":0.22072779,"about_ca_system_score_codex":0.000013261012,"about_ca_system_score_gemma":0.000018260058,"threshold_uncertainty_score":0.79179335},"labels":[],"label_agreement":null},{"id":"W4386297613","doi":"10.4236/ti.2023.143011","title":"Augmented Reality Application to Highlight Health Policies about Refugee Students in the Interwar Period. An Example of Empathetic Study of an Archival Collection","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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":"European Regional Development Fund; University of Crete","keywords":"Augmented reality; Refugee; Period (music); Virtual reality; Comparative historical research; Data collection; Sociology; Computer science; Aesthetics; Social science; Political science; Human–computer interaction; Law; Art","score_opus":0.04229923830048992,"score_gpt":0.31564156861113346,"score_spread":0.27334233031064353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386297613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863464,0.000045910983,0.000005813947,0.000545885,0.000025940304,0.0005896155,0.000017038026,0.00005837677,0.000076806515],"genre_scores_gemma":[0.99961793,0.00001811917,0.000053292704,0.00019586319,0.0000051412053,0.000025462883,0.00005957136,0.0000016456394,0.000022979648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990025,0.00025709666,0.00023804158,0.00019828527,0.00015699648,0.00014703929],"domain_scores_gemma":[0.9995951,0.000019308905,0.00007839691,0.00024923065,0.000015534948,0.000042410553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073840935,0.000074558615,0.0001587445,0.000224174,0.00013277474,0.000010432963,0.00023319575,0.00003659144,0.000005168218],"category_scores_gemma":[0.000009073709,0.00004952792,0.000009681243,0.0007509409,0.00009955716,0.000051377523,0.000024436038,0.00008297328,0.0000032448447],"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":[0.00013069884,0.00085703144,0.89739704,0.00004674421,0.000028512637,0.0000032483763,0.067124754,0.00021545192,0.00061961566,0.0031692332,0.00016737876,0.030240308],"study_design_scores_gemma":[0.00025303234,0.002713294,0.977813,0.000014105686,0.000003971634,0.0000032846679,0.016807813,0.00034638843,0.0001407087,0.0015332928,0.00032193473,0.000049153252],"about_ca_topic_score_codex":0.016072255,"about_ca_topic_score_gemma":0.029878233,"teacher_disagreement_score":0.080415994,"about_ca_system_score_codex":0.000008053691,"about_ca_system_score_gemma":0.000015684021,"threshold_uncertainty_score":0.9904798},"labels":[],"label_agreement":null},{"id":"W4386430116","doi":"10.4236/ti.2023.144012","title":"Factors Influencing Change of Smallholder Organic Horticultural Farmer Organisations under Nongovernmental Organisations in Two Selected Regions in Tanzania","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","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":"Tanzania; Simple random sample; Closeness; Respondent; Descriptive statistics; Qualitative property; Productivity; Qualitative research; Socioeconomics; Marketing; Business; Geography; Economic growth; Sociology; Political science; Statistics; Social science; Economics; Population; Mathematics","score_opus":0.06035027936127619,"score_gpt":0.2670875700910314,"score_spread":0.20673729072975522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386430116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935906,0.00005667746,9.670772e-7,0.0056952336,0.00003216254,0.0003279021,0.000019320003,0.00012667861,0.00015048985],"genre_scores_gemma":[0.99928826,0.000047462665,0.000044601544,0.0003366578,0.000020234093,0.00005497127,0.00010718171,0.000001691428,0.0000989389],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99904263,0.000041671767,0.00031118884,0.00023645879,0.00012382226,0.00024425046],"domain_scores_gemma":[0.9996022,0.00009781653,0.00013882703,0.000057697136,0.0000680669,0.00003536678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104431354,0.00014581496,0.0001796021,0.00013645268,0.00016511521,0.00002059313,0.00013344696,0.00013067047,0.0002263105],"category_scores_gemma":[0.00007176303,0.00006262425,0.000018103407,0.00441503,0.00012580016,0.00028629086,0.00010537704,0.00020237628,0.000011283226],"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":[0.0000031335635,0.00010136512,0.40979397,0.0000038748112,0.00001851952,0.000002486155,0.0013252051,0.0000035620917,0.55211633,0.03619129,0.00011065887,0.0003295844],"study_design_scores_gemma":[0.00018686337,0.00008846011,0.96703374,0.000020591646,0.000011767324,0.0000049078026,0.017126625,0.000018704375,0.011299164,0.0037602675,0.00030705528,0.0001418247],"about_ca_topic_score_codex":0.0006548503,"about_ca_topic_score_gemma":0.0071237376,"teacher_disagreement_score":0.55723983,"about_ca_system_score_codex":0.000118463206,"about_ca_system_score_gemma":0.000015754,"threshold_uncertainty_score":0.3975213},"labels":[],"label_agreement":null},{"id":"W4386901307","doi":"10.4236/ti.2023.144013","title":"Text Analysis of Policy Coherence between the Central Government and the Provincial Governments in the New Energy Vehicle Charging Infrastructure","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Energy and Environment Impacts","field":"Environmental Science","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":"National Natural Science Foundation of China","keywords":"Central government; Coherence (philosophical gambling strategy); Context (archaeology); Government (linguistics); Policy analysis; Energy policy; Regional science; Environmental economics; Business; Public economics; Public administration; Economics; Political science; Local government; Sociology; Engineering; Renewable energy; Geography","score_opus":0.005317065061423072,"score_gpt":0.2021818908788597,"score_spread":0.19686482581743664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386901307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98846084,0.00010024475,0.000025760555,0.00943436,0.000013975076,0.00016443252,0.000015824933,0.000017721217,0.0017668264],"genre_scores_gemma":[0.9977318,0.0002056482,0.000025329926,0.0017049765,0.000024056937,0.0000264635,0.0000039686674,0.0000047916087,0.00027296436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888146,0.00008714788,0.00018444305,0.0002019624,0.0003511775,0.0002937989],"domain_scores_gemma":[0.9994442,0.000120999306,0.000099989695,0.0002872796,7.573406e-7,0.000046787023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031614673,0.00012731508,0.00018544197,0.00006657187,0.00017718668,0.000015989708,0.0003455562,0.00009800626,0.000056424873],"category_scores_gemma":[0.000058511076,0.0000629268,0.00003625202,0.0011625137,0.0009230036,0.000069776615,0.00038355772,0.00015427123,0.000003951119],"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":[0.000054413547,0.000044392673,0.8112891,0.0000048884485,0.0002926171,0.0000050181325,0.003107873,0.0039624544,0.0016025706,0.14626908,0.001860344,0.03150729],"study_design_scores_gemma":[0.00053994264,0.000054339253,0.9711525,0.000005774572,0.00012809769,0.0000016394961,0.00073940546,0.00080106774,0.001116053,0.019716324,0.0056657414,0.000079143036],"about_ca_topic_score_codex":0.0014477251,"about_ca_topic_score_gemma":0.00046872004,"teacher_disagreement_score":0.15986343,"about_ca_system_score_codex":0.00016311454,"about_ca_system_score_gemma":0.000013765076,"threshold_uncertainty_score":0.34008452},"labels":[],"label_agreement":null},{"id":"W4387110003","doi":"10.4236/ti.2023.144015","title":"The Influence of Food Truck Service Quality Perceptions on Word of Mouth and Customer Loyalty among Malaysian Food Truck Customers","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","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":"Marketing; Business; Word of mouth; Loyalty business model; Service quality; Truck; Loyalty; Service (business); Quality (philosophy); Advertising; Engineering","score_opus":0.0227641185263851,"score_gpt":0.25585383172114085,"score_spread":0.23308971319475574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387110003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936332,0.00009721777,5.704339e-7,0.004210188,0.00006582232,0.000355863,0.000019926354,0.00021413362,0.0014030429],"genre_scores_gemma":[0.99763256,0.00004714353,0.000020140185,0.0020282483,0.000041857606,0.0000622835,0.000012997654,0.00001856094,0.00013618698],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99848914,0.000040921765,0.00051842513,0.00035895448,0.0002476522,0.0003449158],"domain_scores_gemma":[0.9988551,0.00009662026,0.00036913462,0.0004993828,0.00015080815,0.000028911601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061540044,0.00022971032,0.0003528721,0.0006310178,0.00035095232,0.00003737975,0.00034165746,0.0002310182,0.000020032143],"category_scores_gemma":[0.0000630619,0.00018010067,0.000059166305,0.0018937913,0.0007223304,0.00031183544,0.00034891217,0.00028895025,0.00006215632],"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":[0.00015079809,0.00019942046,0.13932869,0.0013451735,0.00024639908,0.0000019202735,0.001609975,0.00030442077,0.0013011106,0.84562266,0.00024441368,0.009645012],"study_design_scores_gemma":[0.0008719961,0.000109126755,0.93801564,0.00012942326,0.00010594251,0.0000016710098,0.008633594,0.00028479975,0.0003275216,0.047065616,0.004155119,0.0002995725],"about_ca_topic_score_codex":0.0010495214,"about_ca_topic_score_gemma":0.0014338782,"teacher_disagreement_score":0.7986869,"about_ca_system_score_codex":0.000020842532,"about_ca_system_score_gemma":0.000020518026,"threshold_uncertainty_score":0.73442924},"labels":[],"label_agreement":null},{"id":"W4387110055","doi":"10.4236/ti.2023.144014","title":"Countermeasures and Suggestions on the Innovation and Development of Enterprises Marketing Mode in China under the Background of E-Commerce","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","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":"Business; Marketing; Order (exchange); Sustainable development; China; E-commerce; Marketing strategy; Computer science","score_opus":0.04649065069788396,"score_gpt":0.2737098839195798,"score_spread":0.22721923322169582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387110055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949474,0.00026129483,0.000011843534,0.004011916,0.000021240132,0.00018147315,8.7701704e-7,0.000032781798,0.00053118425],"genre_scores_gemma":[0.99960566,0.00005251789,0.000040943225,0.00022587257,0.0000031173697,0.00004412428,0.0000026652547,0.000004885914,0.000020237427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948794,0.000014440107,0.00020418699,0.00011700547,0.00008153885,0.00009488897],"domain_scores_gemma":[0.99964863,0.0000892066,0.00011135593,0.000109963796,0.000038954408,0.0000018900225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005397455,0.00008329025,0.000113540846,0.0003880878,0.00016837039,0.000018284649,0.00007566653,0.00004190954,0.0000042972238],"category_scores_gemma":[0.00005665469,0.000051959094,0.000005783136,0.0005814667,0.00035312277,0.000069271235,0.00022828982,0.00009682116,0.000001308177],"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":[0.000021350981,0.00004397041,0.6194507,0.00008054045,0.000036668378,5.886808e-7,0.0002355857,0.000002274191,0.0009707277,0.36614665,0.00009484176,0.012916134],"study_design_scores_gemma":[0.00018547245,0.0000069116554,0.98969924,0.00011674123,0.000017597999,8.614097e-7,0.003490109,0.00015670627,0.00016886051,0.0053965966,0.0007044681,0.000056409466],"about_ca_topic_score_codex":0.000066331166,"about_ca_topic_score_gemma":0.00025387717,"teacher_disagreement_score":0.3702486,"about_ca_system_score_codex":0.000011048999,"about_ca_system_score_gemma":0.00000939937,"threshold_uncertainty_score":0.21188304},"labels":[],"label_agreement":null},{"id":"W4387119899","doi":"10.4236/ti.2023.144016","title":"Exploring the Relationship between Supply Chain Management Practices and Environmental Performance in the Freight Forwarding Industry: A Case Study in Malaysia","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"Supply chain; Business; Supply chain management; Ecological footprint; Industrial organization; Marketing; Sustainability","score_opus":0.08474432730513393,"score_gpt":0.26398416981252754,"score_spread":0.1792398425073936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387119899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99099416,0.00009418809,0.000002334991,0.0062641874,0.000047838414,0.0016380448,9.0094017e-7,0.00010572157,0.0008526021],"genre_scores_gemma":[0.99792206,0.0000515983,0.000028528248,0.0005939589,0.00007912122,0.001182525,0.000011277809,0.000017262377,0.0001136931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866784,0.00006248078,0.00029565336,0.00037457037,0.00020862941,0.00039084666],"domain_scores_gemma":[0.9992149,0.00021633183,0.00019053696,0.00036342602,0.0000053729805,0.000009441043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018202978,0.0001971317,0.00016726072,0.0013599304,0.0004299888,0.00014385013,0.00029246573,0.0000968589,0.0000063323077],"category_scores_gemma":[0.00010366085,0.00013949505,0.000015726246,0.0018060647,0.00016928735,0.0009157381,0.0007404534,0.0005949992,0.00001683322],"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":[0.000007566269,0.00007181708,0.9485355,0.00009593167,0.000030915082,0.0009971901,0.0012898416,0.00010234256,6.813497e-7,0.04594604,0.00007595127,0.0028462077],"study_design_scores_gemma":[0.0006661189,0.000039643204,0.7863913,0.000041045547,0.000065058804,0.000032293785,0.20105508,0.0015897127,0.0000019563565,0.0067405165,0.0032328367,0.00014439558],"about_ca_topic_score_codex":0.0002733788,"about_ca_topic_score_gemma":0.000114424496,"teacher_disagreement_score":0.19976524,"about_ca_system_score_codex":0.000087038075,"about_ca_system_score_gemma":0.000004718628,"threshold_uncertainty_score":0.5688443},"labels":[],"label_agreement":null},{"id":"W4388703120","doi":"10.4236/ti.2023.144017","title":"The Impact Path of Executive Team Heterogeneity and Environmental-Social-Governance on Corporate Performance","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","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":"Qualitative comparative analysis; Corporate social responsibility; Corporate governance; Business; Path (computing); Sample (material); Path analysis (statistics); Antecedent (behavioral psychology); Set (abstract data type); Stakeholder; Accounting; Industrial organization; Process management; Computer science; Economics; Management; Public relations; Psychology; Political science; Finance","score_opus":0.06935030740535404,"score_gpt":0.3746079567364311,"score_spread":0.3052576493310771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388703120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99413514,0.00060785207,0.0000028826562,0.0011400179,0.00001093548,0.00018644855,0.000020351814,0.000032250464,0.0038641386],"genre_scores_gemma":[0.99638945,0.0027481394,0.0000109003495,0.00005967855,0.000008537338,0.00003535244,0.0000035047078,0.0000036142815,0.0007408159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990206,0.00022918437,0.00012866597,0.00017187528,0.00022175911,0.00022794773],"domain_scores_gemma":[0.9995116,0.0001514711,0.0001572603,0.00011709914,0.000021811904,0.000040749786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007299725,0.00008364618,0.00014975667,0.00009610359,0.0007553317,0.000014684081,0.00014942842,0.00007387642,0.000010801175],"category_scores_gemma":[0.00009104006,0.000056082157,0.00002835891,0.00051482784,0.0025177295,0.000063926185,0.00010992084,0.00013425999,0.000023359262],"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":[0.00009053227,0.00012895736,0.16541766,0.000011626007,0.00022781598,0.0000035545177,0.010306185,0.000011526072,0.005693587,0.7979927,0.00872136,0.011394504],"study_design_scores_gemma":[0.0005746327,0.0011343163,0.7903708,0.00003932794,0.000022866117,0.0000010473426,0.022033358,0.0013912137,0.028050743,0.1336597,0.022455133,0.0002668368],"about_ca_topic_score_codex":0.000060115057,"about_ca_topic_score_gemma":0.00005215096,"teacher_disagreement_score":0.664333,"about_ca_system_score_codex":0.000091549606,"about_ca_system_score_gemma":0.00003678511,"threshold_uncertainty_score":0.927668},"labels":[],"label_agreement":null},{"id":"W4389145594","doi":"10.4236/ti.2023.144018","title":"Impact of Knowledge Management on Firms’ Innovation Performance","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","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":"Business; Industrial organization; Knowledge management; Marketing; Process management; Computer science","score_opus":0.02212595271938169,"score_gpt":0.2564249814698625,"score_spread":0.23429902875048078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389145594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92764217,0.000057713067,0.0000037932004,0.00018900362,0.00005762687,0.000115202856,8.105582e-7,0.00016387916,0.0717698],"genre_scores_gemma":[0.99818575,0.00009215515,0.000018236902,0.00040154823,0.000058709637,0.000030472427,0.00002800944,0.0000078683715,0.0011772184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99938816,0.0000018305632,0.00019192664,0.00015698923,0.0000833326,0.00017774926],"domain_scores_gemma":[0.9996572,0.00000774007,0.00009133802,0.00016291197,0.000076906916,0.0000038959015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015195702,0.000114946626,0.00013938686,0.002080459,0.00011329701,0.0000160543,0.00011865373,0.00007451151,0.000106207386],"category_scores_gemma":[0.000015934535,0.00008727334,0.00003869725,0.0034965212,0.000106862775,0.00022064798,0.00014558753,0.00009024748,0.0007627156],"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":[0.00005179925,0.00011485484,0.04937858,0.00021526277,0.00014371733,0.0000030557007,0.00007858781,0.00007911155,0.0002928027,0.90294796,0.010018313,0.03667598],"study_design_scores_gemma":[0.0020314213,0.0013692122,0.6960728,0.00043029417,0.0002607869,0.0000064183773,0.0009857236,0.04668909,0.0050003533,0.1528516,0.09333837,0.0009639102],"about_ca_topic_score_codex":0.000010120942,"about_ca_topic_score_gemma":0.000001651237,"teacher_disagreement_score":0.7500963,"about_ca_system_score_codex":0.000024540794,"about_ca_system_score_gemma":0.0000061647834,"threshold_uncertainty_score":0.98034203},"labels":[],"label_agreement":null},{"id":"W4389145615","doi":"10.4236/ti.2023.144020","title":"Change Process for Organisational Change of Networking Smallholder Organic Horticultural Farmer Organisations under Non-Governmental Organisations in Tanzania","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","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":"Tanzania; Business; Process (computing); Environmental resource management; Agricultural economics; Environmental planning; Economics; Geography","score_opus":0.08781233963243623,"score_gpt":0.2830875678447808,"score_spread":0.19527522821234455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389145615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863041,0.00011204372,0.000009648044,0.012341935,0.00009920705,0.0008402159,0.000055311175,0.00011947395,0.0001180491],"genre_scores_gemma":[0.9977219,0.000076063465,0.00013421007,0.0010339255,0.00019600938,0.00043004684,0.0002801881,0.000003019828,0.00012462704],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897176,0.000019696265,0.0003050547,0.00027719027,0.0001555535,0.0002707239],"domain_scores_gemma":[0.9995003,0.00010602859,0.00018810607,0.0000543524,0.00011151118,0.00003969996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016048914,0.00015858513,0.00018634491,0.000083286046,0.0002948435,0.000026576032,0.00015249506,0.00018901635,0.00026398362],"category_scores_gemma":[0.00003518117,0.000073893396,0.00002696336,0.002090199,0.00012714461,0.0003352275,0.00008958796,0.00012908176,0.00001365202],"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":[0.00004226663,0.00050682324,0.1923809,0.00007341243,0.0001432912,0.0000045010106,0.0046163397,0.00000935568,0.6747836,0.11547097,0.0013127625,0.01065581],"study_design_scores_gemma":[0.0005031882,0.00039203468,0.93807435,0.000058040496,0.000054095777,0.000016379632,0.020925717,0.00028999223,0.01512749,0.01877959,0.005403626,0.00037551753],"about_ca_topic_score_codex":0.00009887339,"about_ca_topic_score_gemma":0.0004962029,"teacher_disagreement_score":0.74569345,"about_ca_system_score_codex":0.00009881526,"about_ca_system_score_gemma":0.000015670274,"threshold_uncertainty_score":0.3013285},"labels":[],"label_agreement":null},{"id":"W4389145645","doi":"10.4236/ti.2023.144019","title":"Entrepreneurship or Employment? The Factors Influencing Ivorian University Student’s Career Choice","year":2023,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","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":"Entrepreneurship; Demographic economics; Sociology; Economic growth; Political science; Economics; Labour economics; Law","score_opus":0.03965667345896081,"score_gpt":0.24545335427462983,"score_spread":0.20579668081566901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389145645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907301,0.0002043619,5.929961e-7,0.0057721194,0.00029289478,0.00026437955,0.000002621192,0.0005788676,0.0021540676],"genre_scores_gemma":[0.99636275,0.000096255164,0.0000058474525,0.0022978361,0.00012715712,0.000012178913,0.000009327289,0.000010110298,0.0010785369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989058,0.000014725584,0.00016394745,0.00035606208,0.00018607656,0.00037341533],"domain_scores_gemma":[0.9993929,0.000091686714,0.00011964885,0.00032397767,0.00005495975,0.000016800457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016054805,0.00019561373,0.00017918878,0.00042283628,0.00075509073,0.00012781197,0.00043633935,0.00010887224,0.00006723294],"category_scores_gemma":[0.00012541255,0.00012479989,0.00004364786,0.0013277325,0.00040142494,0.00038418476,0.00070205244,0.00018337238,0.000075681884],"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":[0.000010825576,0.000024405075,0.93938744,0.000020494499,0.000069593494,0.00002030225,0.00044491116,0.000008605558,0.000074035976,0.056274693,0.0025428848,0.0011217888],"study_design_scores_gemma":[0.00039932536,0.000039831157,0.7155287,0.000039638082,0.00009177299,0.0000014439574,0.012128883,0.000013549944,0.00019795977,0.0051088603,0.26623112,0.00021889152],"about_ca_topic_score_codex":0.0006529389,"about_ca_topic_score_gemma":0.00068680453,"teacher_disagreement_score":0.26368824,"about_ca_system_score_codex":0.000039042512,"about_ca_system_score_gemma":0.000018003493,"threshold_uncertainty_score":0.5807624},"labels":[],"label_agreement":null},{"id":"W4391520415","doi":"10.4236/ti.2024.151001","title":"The Misconception of the Roles and Responsibilities of a Project Management Office (PMO) in Malaysian Banking Sectors","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Construction Project Management and Performance","field":"Decision Sciences","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":"Business; Process management; Public relations; Accounting; Political science","score_opus":0.033161759953088815,"score_gpt":0.32160351022168565,"score_spread":0.28844175026859686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391520415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909413,0.0023771445,0.000019728799,0.0013709095,0.00014056156,0.00035227157,0.0000021790138,0.000025221216,0.004770673],"genre_scores_gemma":[0.99777377,0.00028696482,0.00018111484,0.000048612612,0.0000053397443,0.000029177798,1.8983002e-7,0.000002629386,0.0016721984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99903286,0.00008422793,0.0003365199,0.00021281354,0.00022893862,0.00010465053],"domain_scores_gemma":[0.9993865,0.00019053085,0.00009448179,0.00029565668,0.000026282109,0.0000065813183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012140227,0.000072695846,0.00011403564,0.0006068047,0.00010710875,0.000045152818,0.00024032766,0.00005265612,0.000017632488],"category_scores_gemma":[0.00009197289,0.000037539645,0.000026845042,0.0011146134,0.00074463856,0.000105118976,0.00025932904,0.000107431515,0.0000014074586],"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":[0.000057334626,0.000013539361,0.033652492,0.00007392433,0.00003466129,0.0000015095229,0.00190054,0.000010478438,0.0003362659,0.85784274,0.0003929879,0.10568349],"study_design_scores_gemma":[0.0007470699,0.00034629277,0.13691911,0.0006507889,0.0000693847,0.000035266392,0.050194215,0.007059704,0.008204478,0.65460235,0.1409117,0.00025964362],"about_ca_topic_score_codex":0.00001963326,"about_ca_topic_score_gemma":0.0001609568,"teacher_disagreement_score":0.20324042,"about_ca_system_score_codex":0.000016560842,"about_ca_system_score_gemma":0.000028800312,"threshold_uncertainty_score":0.2743652},"labels":[],"label_agreement":null},{"id":"W4391647631","doi":"10.4236/ti.2024.151002","title":"A New Biopesticide for the Control of Fruit Flies in Organic Mango Production: An Ex-Ante Assessment of Returns to Research Using Economic Surplus Model","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","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":"Ex-ante; Biopesticide; Production (economics); Organic production; Economics; Economic surplus; Control (management); Biology; Agronomy; Pesticide; Microeconomics; Organic farming; Agriculture; Macroeconomics; Welfare; Ecology","score_opus":0.08465793762479489,"score_gpt":0.3667358296709881,"score_spread":0.2820778920461932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391647631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941016,0.0006227583,0.00048367318,0.0037929462,0.000053635562,0.00081917393,0.000025792666,0.000056202007,0.000044247714],"genre_scores_gemma":[0.99814934,0.000049301118,0.0014785231,0.00007410008,0.00004578056,0.00009488174,0.0000028060354,0.0000015042481,0.00010378525],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992666,0.000035600115,0.00021241172,0.00023231482,0.00007491797,0.0001781089],"domain_scores_gemma":[0.999708,0.00008286287,0.00003550284,0.000096349664,0.000047414902,0.000029880133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005657606,0.00008125498,0.00017707562,0.00010965578,0.00007836438,0.000017841772,0.00018686829,0.000107724736,0.00003370265],"category_scores_gemma":[0.000026171487,0.000032611944,0.000028943698,0.00030203315,0.00014776649,0.000064770626,0.00006143357,0.00013926055,4.526797e-7],"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":[0.00003658585,0.00004000496,0.0016339322,0.000015291878,0.000017661248,0.0000011181385,0.00013044672,0.00006638215,0.84979594,0.13327123,0.00008372559,0.014907698],"study_design_scores_gemma":[0.0009825253,0.006072149,0.06228871,0.0004965274,0.0002365821,0.00006080003,0.0032268234,0.13819835,0.4148676,0.36929882,0.0036644284,0.00060666585],"about_ca_topic_score_codex":0.0004298624,"about_ca_topic_score_gemma":0.0012847028,"teacher_disagreement_score":0.4349283,"about_ca_system_score_codex":0.00006825305,"about_ca_system_score_gemma":0.000064048865,"threshold_uncertainty_score":0.13298765},"labels":[],"label_agreement":null},{"id":"W4392113215","doi":"10.4236/ti.2024.151003","title":"Study on the Impact of the Service Economy in China’s First-Tier Cities on the Employment Structure","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Regional Economic and Spatial 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":"China; Service (business); Business; Economy; Economics; Political science","score_opus":0.02615118069284803,"score_gpt":0.2259944300140372,"score_spread":0.1998432493211892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392113215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95183414,0.00067150884,0.0000022329853,0.04030246,0.000071291266,0.00038150832,0.000040862957,0.000016135435,0.0066798646],"genre_scores_gemma":[0.99807763,0.00004980647,0.0000022898957,0.001445952,0.00001943284,0.0000721859,0.0000014026017,0.000008457555,0.00032285528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992505,0.000021178512,0.00031376944,0.00025465153,0.000020329308,0.00013957624],"domain_scores_gemma":[0.99937284,0.00007354799,0.00011747778,0.00041416625,0.000006596514,0.000015393432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023653914,0.0001410506,0.00024534995,0.00025043348,0.00013303319,0.00003536341,0.0003221472,0.000087750144,0.0002043923],"category_scores_gemma":[0.000019211528,0.00006745664,0.00009757334,0.00035703194,0.00016801758,0.0000431629,0.00010655931,0.00025751043,0.000035977002],"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":[0.000007666879,0.00006897746,0.06167123,0.0000054530124,0.00021937273,0.0000010790203,0.0011108819,0.00055807515,0.000001266747,0.93529063,0.0009687303,0.00009660773],"study_design_scores_gemma":[0.00021954966,0.00037833498,0.24205773,0.00003989506,0.00001610427,0.0000028179736,0.0013647623,0.0028536746,0.00010790196,0.74663424,0.0061882418,0.00013673249],"about_ca_topic_score_codex":0.00094475434,"about_ca_topic_score_gemma":0.00042051784,"teacher_disagreement_score":0.18865639,"about_ca_system_score_codex":0.0001275867,"about_ca_system_score_gemma":0.000022534947,"threshold_uncertainty_score":0.2750802},"labels":[],"label_agreement":null},{"id":"W4392205420","doi":"10.4236/ti.2024.151004","title":"The Influence of the Manufacturing Industry Environment, Organizational Structures, and Economic Trends on Employee Responsibilities in the Manufacturing Industry","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Technology and Data Analysis","field":"Computer Science","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":"Business; Manufacturing; Industrial organization; Organizational structure; Manufacturing sector; Marketing; Labour economics; Management; Economics","score_opus":0.007950053654431712,"score_gpt":0.21889460664256324,"score_spread":0.21094455298813153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392205420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98958313,0.00056963094,0.00002140019,0.00946726,0.00004977829,0.00008726703,0.000012175538,0.00007800154,0.00013132728],"genre_scores_gemma":[0.9990932,0.00008238777,0.0001365441,0.0005173883,0.00001006025,0.000018848368,0.000001573886,0.0000049674823,0.00013508153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990784,0.000075509335,0.00021748214,0.00033958923,0.00010750893,0.00018154229],"domain_scores_gemma":[0.9990115,0.00017837471,0.00006495961,0.000723831,0.0000031089828,0.000018195293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030256822,0.00013817471,0.00011673844,0.000353198,0.00027813434,0.00007108559,0.0008719041,0.0004940529,0.000012635286],"category_scores_gemma":[0.000032345804,0.000073389194,0.000021355494,0.000250038,0.00078437594,0.00016157194,0.00047900632,0.0010779225,0.0000029694625],"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":[0.0000071482573,0.000013446348,0.025280533,0.000010968895,0.00006147397,0.000010408374,0.00040335848,0.00059515855,0.00017301772,0.964623,0.00024010449,0.008581407],"study_design_scores_gemma":[0.00018532497,0.00009743438,0.5213215,0.00005015763,0.000028072303,0.00009423747,0.0005655953,0.00023973649,0.056926742,0.41301557,0.0073081963,0.00016742949],"about_ca_topic_score_codex":0.000022856388,"about_ca_topic_score_gemma":0.000034775323,"teacher_disagreement_score":0.5516074,"about_ca_system_score_codex":0.000059410206,"about_ca_system_score_gemma":0.000042946656,"threshold_uncertainty_score":0.46830967},"labels":[],"label_agreement":null},{"id":"W4392249562","doi":"10.4236/ti.2024.151005","title":"Key Trends Driving Adoption of Generative Artificial Intelligence in Malaysian Banking Sectors","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","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":"Key (lock); Generative grammar; Business; Computer science; Artificial intelligence; Computer security","score_opus":0.019675712245942733,"score_gpt":0.24044834992415257,"score_spread":0.22077263767820984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392249562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836097,0.00056473905,0.00297548,0.0012913477,0.00026178212,0.000109761444,0.0000014096984,0.00023896195,0.01094684],"genre_scores_gemma":[0.9987969,0.000015536474,0.0007439107,0.0001940827,0.00009586652,0.000026569278,0.000009559053,0.000014289572,0.00010327739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913067,0.000003909191,0.00028383278,0.00029172288,0.00008584766,0.000204011],"domain_scores_gemma":[0.9997526,0.000014361777,0.00008490298,0.000118580974,0.000024260746,0.0000053126146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001615729,0.00014042157,0.00016616505,0.0015089448,0.000054520566,0.0000948171,0.000120921184,0.00013434066,0.00005685834],"category_scores_gemma":[0.000044364693,0.00013537439,0.000030970547,0.0015669591,0.00021285412,0.00055342785,0.00015189282,0.00019372097,0.000035154586],"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":[0.000004689877,0.00003214132,0.0076350686,0.00007265674,0.000011214337,0.00001661083,0.0000825095,0.0000430562,0.0027698597,0.9339443,0.00009345508,0.05529445],"study_design_scores_gemma":[0.00010136628,0.000099462486,0.011345049,0.00082099735,0.00003829633,0.000011749983,0.0006886399,0.048413612,0.022722822,0.9048908,0.010422348,0.00044490476],"about_ca_topic_score_codex":0.000033433967,"about_ca_topic_score_gemma":0.00012352555,"teacher_disagreement_score":0.054849543,"about_ca_system_score_codex":0.000053715157,"about_ca_system_score_gemma":0.00001136267,"threshold_uncertainty_score":0.5520407},"labels":[],"label_agreement":null},{"id":"W4396701127","doi":"10.4236/ti.2024.152006","title":"Analysis of the Influence Port Development on Economic Growth in Djibouti: In the Case of Doraleh Container Terminal","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Maritime Ports and Logistics","field":"Engineering","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":"Port (circuit theory); Foreign direct investment; Position (finance); Container (type theory); Government (linguistics); Investment (military); International trade; Economics; Variable (mathematics); Business; International economics; Macroeconomics; Finance; Engineering","score_opus":0.007464353205125093,"score_gpt":0.21781973985730876,"score_spread":0.21035538665218367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396701127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99809086,0.00026845673,0.0000096766225,0.00018034026,0.000026930593,0.000095776486,0.000006120114,0.000019190182,0.0013026448],"genre_scores_gemma":[0.999756,0.00002355479,0.000072054034,0.00010648028,0.0000020036941,0.000020970676,0.000001848078,0.0000030378644,0.000014050793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995653,0.000009601773,0.0002262253,0.000087304004,0.000027236649,0.000084304185],"domain_scores_gemma":[0.99980664,0.00002773032,0.000021804028,0.0001310291,0.000005019636,0.000007778663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001688744,0.00006644192,0.00014017663,0.00038464548,0.000012983767,0.0000043985738,0.00009258335,0.000066379995,0.000013346905],"category_scores_gemma":[0.000010224743,0.000040203144,0.000019908119,0.0003549209,0.00013732427,0.000017348697,0.00003180878,0.00012689673,6.639144e-7],"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":[0.0000075192493,0.00006899347,0.20930731,0.00017836627,0.0003050619,0.00096013973,0.0014406109,0.011188468,0.00011719581,0.76950026,0.0001399728,0.006786127],"study_design_scores_gemma":[0.000594468,0.00022072745,0.89224815,0.00034454695,0.0004726472,0.0004888915,0.0014124912,0.05872978,0.008655145,0.031329975,0.0050620027,0.0004411957],"about_ca_topic_score_codex":0.00016610854,"about_ca_topic_score_gemma":0.0005669443,"teacher_disagreement_score":0.73817027,"about_ca_system_score_codex":0.000044187607,"about_ca_system_score_gemma":0.000024359742,"threshold_uncertainty_score":0.16394366},"labels":[],"label_agreement":null},{"id":"W4399096859","doi":"10.4236/ti.2024.152007","title":"The Future of FX Trading: Exploring the Intersection of AI, Open Innovation, and Industry Evolution","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic and Technological Innovation","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":"Intersection (aeronautics); Open innovation; Business; Industrial organization; Economic geography; Marketing; Economics; Engineering; Transport engineering","score_opus":0.0659376469211757,"score_gpt":0.25060077061346914,"score_spread":0.18466312369229343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399096859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98511076,0.003059724,0.0006683591,0.008095415,0.00026813013,0.00017688643,0.0000066347648,0.0000424161,0.0025716734],"genre_scores_gemma":[0.9994836,0.000030890817,0.000119259865,0.00016352812,0.000026039068,0.00006283361,0.000001821162,0.0000043153364,0.00010773366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993679,0.000004781832,0.00037977909,0.0001588019,0.000010743884,0.00007800539],"domain_scores_gemma":[0.999644,0.000024325966,0.00014882826,0.00015283664,0.000023880242,0.0000061595333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043259832,0.00006155668,0.00012804003,0.00026898313,0.00011228195,0.000033247285,0.00016846979,0.00019392562,0.000010739841],"category_scores_gemma":[0.000040346884,0.000042435466,0.000011658893,0.0007740436,0.00032828396,0.000199951,0.00012749447,0.00033796503,0.0000018956607],"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":[0.00000403702,0.000009835516,0.008562399,0.000013470217,0.000031082996,1.2028998e-7,0.00007671659,5.2038894e-7,0.00013995754,0.98232734,0.00037251125,0.008461984],"study_design_scores_gemma":[0.00009195572,0.0000877774,0.007813949,0.000024014638,0.000003369045,0.000004649792,0.00078268704,0.0005857127,0.0018556294,0.9696389,0.019066494,0.000044901073],"about_ca_topic_score_codex":0.000020221416,"about_ca_topic_score_gemma":0.000006356762,"teacher_disagreement_score":0.018693984,"about_ca_system_score_codex":0.000051535008,"about_ca_system_score_gemma":0.000012534616,"threshold_uncertainty_score":0.17304681},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","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":"agree"},{"id":"W4400515689","doi":"10.4236/ti.2024.153008","title":"Evaluation of the Role of Artificial Intelligence on Customer Satisfaction as a Competitive Advantage in the Hospitality Industry in the United States","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"AI in Service Interactions","field":"Computer Science","cited_by":8,"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":"Competitive advantage; Marketing; Hospitality; Business; Customer satisfaction; Hospitality industry; Service (business); Customer retention; Competitive intelligence; Loyalty; Service quality; Knowledge management; Tourism; Computer science","score_opus":0.026478080624126273,"score_gpt":0.32419712958433294,"score_spread":0.2977190489602067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400515689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905152,0.0001559861,0.00021653857,0.007074026,0.00009621557,0.00035222163,0.0000032933226,0.000021806567,0.0015647523],"genre_scores_gemma":[0.9990576,0.000018062357,0.00008759991,0.0007577719,0.0000044516764,0.00006953719,0.0000016069822,0.0000018072245,0.000001545798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989903,0.00030189377,0.00020156964,0.00014575089,0.0002790005,0.00008151449],"domain_scores_gemma":[0.9993425,0.0002004787,0.0000710556,0.0003134485,0.000066990746,0.0000055281193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009971675,0.000064884436,0.00006764161,0.00028608367,0.000044391905,0.000019277255,0.0003744184,0.0001378976,0.000008409101],"category_scores_gemma":[0.000082600185,0.000035213223,0.000016298349,0.0012877004,0.00021793526,0.00011815182,0.00008785078,0.0006039062,0.000005430327],"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":[0.0000031329375,0.000076315846,0.0034590506,0.0000050014683,0.000009653406,0.0000010358959,0.005726942,0.0003584937,0.00024142642,0.96681595,0.000008004153,0.02329501],"study_design_scores_gemma":[0.000044872286,0.00017851741,0.026789932,0.0001331457,0.000022096365,0.000011768285,0.048773393,0.06297509,0.017146777,0.8433999,0.000467795,0.00005670525],"about_ca_topic_score_codex":0.00039216742,"about_ca_topic_score_gemma":0.00037119005,"teacher_disagreement_score":0.12341603,"about_ca_system_score_codex":0.00007047771,"about_ca_system_score_gemma":0.000057311154,"threshold_uncertainty_score":0.2623706},"labels":[],"label_agreement":null},{"id":"W4400927611","doi":"10.4236/ti.2024.153009","title":"The Ghana Venture Capital Trust Fund: A Comprehensive Analysis of Financial Health, Growth, and Sustainability from 2016 to 2022","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","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":"Venture capital; Sustainability; Business; Finance; Trust fund; Social venture capital","score_opus":0.010615959668080821,"score_gpt":0.2435100692650166,"score_spread":0.23289410959693577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400927611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95857817,0.017344328,0.00010536334,0.023053847,0.00025989124,0.00035127215,0.000043384374,0.00010872511,0.00015503084],"genre_scores_gemma":[0.9963264,0.00024657193,0.00002951835,0.003119569,0.00012407161,0.00003872268,0.00003325083,0.000007924919,0.000074007614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898434,0.000014899735,0.00027149313,0.00034667767,0.00011872338,0.00026386886],"domain_scores_gemma":[0.9994925,0.0000634278,0.00009544129,0.00024265134,0.00008174559,0.000024203888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019191223,0.00015483996,0.0003045773,0.0006079658,0.0002795193,0.000094504714,0.00018876816,0.00014286362,0.000022661936],"category_scores_gemma":[0.00013035662,0.00011287644,0.00007382955,0.0012457824,0.00036471992,0.00019644437,0.00042879666,0.00021979504,0.000007025002],"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":[0.000051004863,0.000057936628,0.005239302,0.00024531723,0.00037662478,0.000015959225,0.00043991135,0.0000032388261,0.00022522865,0.9787906,0.0047062463,0.009848677],"study_design_scores_gemma":[0.0005814289,0.000254929,0.08304965,0.00010705556,0.00079600787,0.0000035232495,0.005333562,0.0015204753,0.00034414997,0.6707764,0.23679687,0.00043589814],"about_ca_topic_score_codex":0.0004717178,"about_ca_topic_score_gemma":0.00020034598,"teacher_disagreement_score":0.3080141,"about_ca_system_score_codex":0.00005341984,"about_ca_system_score_gemma":0.00006871489,"threshold_uncertainty_score":0.46029678},"labels":[],"label_agreement":null},{"id":"W4402155239","doi":"10.4236/ti.2024.153010","title":"Navigating Integration Challenges and Ethical Considerations of AI in E-Commerce: A Framework for Best Practices and Customer Trust","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","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":"Business; Process management; Computer science; Best practice; Knowledge management; Engineering ethics; Marketing; Management; Economics; Engineering","score_opus":0.12910424690625524,"score_gpt":0.46956439739241645,"score_spread":0.3404601504861612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402155239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57663167,0.012404402,0.00007389422,0.40802175,0.000072675815,0.00028073837,0.0000036572446,0.000047750385,0.0024634881],"genre_scores_gemma":[0.98675877,0.0063327067,0.004566723,0.0022485263,0.000031497668,0.00003895606,8.49983e-7,0.0000042732954,0.00001770973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994446,0.0000750727,0.00014084451,0.00014992685,0.0000740886,0.00011547031],"domain_scores_gemma":[0.99883586,0.00094294315,0.00006717543,0.00004981842,0.00006620319,0.000037997168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008694557,0.000060294984,0.00012522753,0.000079453435,0.00025209982,0.00006933033,0.00003055385,0.00061724667,0.000003926146],"category_scores_gemma":[0.0033900528,0.000054138607,0.000010644991,0.000121747704,0.0009910845,0.00016127036,0.00003062785,0.00093465485,4.4902725e-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":[0.0000026428063,0.000016988968,0.00021668061,0.000043854317,0.000011823001,0.0000011913531,0.03007288,5.351049e-8,0.00014118917,0.94720626,0.00003597734,0.022250455],"study_design_scores_gemma":[0.00008894178,0.00012898438,0.00034589184,0.00032284198,0.000020007783,0.0000022623344,0.030147605,0.0000993062,0.0002161191,0.96424603,0.00432189,0.000060121743],"about_ca_topic_score_codex":0.0003752744,"about_ca_topic_score_gemma":0.0018534036,"teacher_disagreement_score":0.4101271,"about_ca_system_score_codex":0.000019166513,"about_ca_system_score_gemma":0.00009063221,"threshold_uncertainty_score":0.47607714},"labels":[],"label_agreement":null},{"id":"W4403439362","doi":"10.4236/ti.2024.154011","title":"Applying Machine Learning Techniques to Analyze and Explore Precious Metals","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Mineral Processing and Grinding","field":"Engineering","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","score_opus":0.01611346990039834,"score_gpt":0.24908115392801616,"score_spread":0.23296768402761783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403439362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95904166,0.029566955,0.0035277249,0.0007459984,0.00008943871,0.0003413496,0.000002616812,0.0035433301,0.003140955],"genre_scores_gemma":[0.9923654,0.00037140102,0.0064176177,0.00016841732,0.000027376183,0.00027522875,0.0000034476795,0.000023414834,0.00034767116],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994635,0.000007116351,0.000118669086,0.00019481177,0.00004750354,0.00016839306],"domain_scores_gemma":[0.99983466,0.000015487596,0.000008361866,0.00008277321,0.000006477021,0.00005223334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012034737,0.0001281749,0.00014415661,0.00047113237,0.00008750241,0.00005051244,0.000055325963,0.00011280008,0.000008193368],"category_scores_gemma":[0.000018903567,0.000110492976,0.000013409478,0.00034222097,0.000054179472,0.000078409896,0.000069108544,0.00026359505,0.0000085066895],"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":[0.000009201094,0.000027398875,0.002028135,0.0011508705,0.0003644903,0.00013476124,0.0023836205,0.0014350873,0.19537354,0.12876552,0.001970702,0.6663567],"study_design_scores_gemma":[0.00023676411,0.00042576625,0.00013040769,0.00088592386,0.00014781817,0.0003187389,0.0006250396,0.076635115,0.24215321,0.057999674,0.619579,0.0008625195],"about_ca_topic_score_codex":0.0000044746894,"about_ca_topic_score_gemma":0.0000025321508,"teacher_disagreement_score":0.66549414,"about_ca_system_score_codex":0.000022792661,"about_ca_system_score_gemma":0.0000038374737,"threshold_uncertainty_score":0.4505773},"labels":[],"label_agreement":null},{"id":"W4404578558","doi":"10.4236/ti.2024.154013","title":"The Impact of Electric Power on Industrialization in Mongolia","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Russia and Soviet political economy","field":"Social Sciences","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":"Industrialisation; Power (physics); Electric power; Environmental science; Economics; Natural resource economics; Market economy; Thermodynamics; Physics","score_opus":0.016091068353685317,"score_gpt":0.3269366341715994,"score_spread":0.3108455658179141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404578558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93194944,0.0007132311,0.0000033066365,0.004528439,0.00006269074,0.00013195399,6.3210143e-7,0.000042249267,0.06256807],"genre_scores_gemma":[0.9994218,0.00015054512,0.0000036549015,0.00008870383,0.000014294946,0.000014643112,2.817822e-7,0.0000020965738,0.0003039851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99958855,0.000038435475,0.00010242041,0.00007996227,0.000042018677,0.00014862117],"domain_scores_gemma":[0.99981624,0.00006918172,0.00001561173,0.00006625839,0.0000067724745,0.000025914609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022943613,0.000039147937,0.00006532865,0.00017940914,0.000086459266,0.000019719495,0.00006827486,0.0001387931,0.000028095174],"category_scores_gemma":[0.000111777656,0.000024271427,0.000020251866,0.00045564628,0.0002615682,0.000037900365,0.00001122244,0.00011682034,0.00000846939],"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":[0.0000032126432,0.000013420042,0.0018752117,8.53364e-7,0.000008695621,0.0000010179174,0.00031906812,0.0000019813283,0.000024086256,0.9949831,0.00070358295,0.0020657885],"study_design_scores_gemma":[0.00018285315,0.000404698,0.010429915,0.000036039586,0.0000058198543,8.415617e-7,0.0007674705,0.00036132164,0.00078333745,0.93483645,0.052112278,0.00007898875],"about_ca_topic_score_codex":0.00032310924,"about_ca_topic_score_gemma":0.000024850942,"teacher_disagreement_score":0.06747237,"about_ca_system_score_codex":0.00008751231,"about_ca_system_score_gemma":0.00012264549,"threshold_uncertainty_score":0.10704994},"labels":[],"label_agreement":null},{"id":"W4404865368","doi":"10.4236/ti.2024.154014","title":"An Assessment of the Performance of Small and Medium Enterprises in Developing Countries Based on Automated Procurement Systems and the Dynamic Capabilities Theory","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","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":"Procurement; Industrial organization; Business; Computer science; Developing country; Process management; Dynamic capabilities; Risk analysis (engineering); Marketing; Economics; Economic growth","score_opus":0.008528887656196804,"score_gpt":0.24590462941418273,"score_spread":0.23737574175798593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404865368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99135923,0.00079532625,0.000104872524,0.003451784,0.00018514221,0.00070368993,0.0000016915465,0.0001299745,0.00326828],"genre_scores_gemma":[0.99859244,0.00007720646,0.00011645935,0.0010383178,0.000010932205,0.00011488657,0.0000028816428,0.0000071294576,0.000039735176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992838,0.000032490494,0.00028142869,0.00017257972,0.00011755005,0.00011215597],"domain_scores_gemma":[0.999565,0.000054899127,0.00013785674,0.0001732778,0.00006567549,0.000003294154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091227103,0.00011721947,0.00017182723,0.0004150891,0.000101428,0.00006321088,0.00012828817,0.000056402114,0.000002752941],"category_scores_gemma":[0.000028801882,0.00006570675,0.0000113946835,0.00039066092,0.00061315694,0.00010908107,0.00013003808,0.000097048025,4.2092958e-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":[0.000029593513,0.000032041542,0.026513416,0.0014850278,0.000025867019,5.1045015e-7,0.00017627126,0.000044882367,0.000050038598,0.9713595,0.000015309675,0.0002675585],"study_design_scores_gemma":[0.0016454081,0.00014960894,0.08582788,0.0019793047,0.00010107857,0.0000025815627,0.0041392,0.87386554,0.0006092068,0.025792694,0.005644682,0.00024279828],"about_ca_topic_score_codex":0.000018932888,"about_ca_topic_score_gemma":0.000037362708,"teacher_disagreement_score":0.9455668,"about_ca_system_score_codex":0.00004450372,"about_ca_system_score_gemma":0.000047796544,"threshold_uncertainty_score":0.26794437},"labels":[],"label_agreement":null},{"id":"W4404895414","doi":"10.4236/ti.2024.154015","title":"The Networks of Smallholder Organic Horticultural Farmer Organizations and Other Value Chain Actors for Their Change in Two Selected Regions in Tanzania","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","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":"Tanzania; Value (mathematics); Business; Chain (unit); Agricultural economics; Agricultural science; Economics; Socioeconomics; Environmental science; Mathematics; Statistics","score_opus":0.016140225383207744,"score_gpt":0.23593034890834885,"score_spread":0.2197901235251411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404895414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99093044,0.0005616519,0.0001834071,0.007344218,0.0001327799,0.0005044018,0.0000013294162,0.00007736274,0.00026443583],"genre_scores_gemma":[0.99688524,0.000045174966,0.00007637838,0.0026843904,0.000055513454,0.00011745814,0.000010673753,0.000013306252,0.000111863475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994604,0.000006038393,0.00020627987,0.00014756432,0.000024494768,0.00015523795],"domain_scores_gemma":[0.9997843,0.000028192111,0.000056334953,0.00007210325,0.000054845324,0.0000042426213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001925017,0.00009265517,0.000111888905,0.00027733628,0.00012453564,0.000059128048,0.00007127007,0.00007946202,0.000017142354],"category_scores_gemma":[0.000039217994,0.00006329493,0.000008225983,0.0010903825,0.00013848624,0.00011809972,0.00006325405,0.00010711946,0.000002032005],"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":[0.0000037543007,0.000020788959,0.03681685,0.000022923781,0.000027900067,5.522122e-7,0.00076165295,0.0000048896386,0.0004471971,0.96043974,0.00028664645,0.0011670898],"study_design_scores_gemma":[0.004052017,0.00008849043,0.4595434,0.00049290067,0.000112107526,0.000017616632,0.012695659,0.093324594,0.0015503988,0.19695885,0.23006488,0.00109908],"about_ca_topic_score_codex":0.00006017027,"about_ca_topic_score_gemma":0.00066506607,"teacher_disagreement_score":0.7634809,"about_ca_system_score_codex":0.00003868302,"about_ca_system_score_gemma":0.000023323933,"threshold_uncertainty_score":0.25810924},"labels":[],"label_agreement":null},{"id":"W4406850295","doi":"10.4236/ti.2025.161001","title":"Impact of Foreign Direct Investment on Agriculture, Forestry and Fisheries: Evidence from Eastern African Countries","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic Growth and Development","field":"Computer Science","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":"Agriculture; Foreign direct investment; Business; Investment (military); Natural resource economics; Fishery; Agricultural economics; International trade; Forestry; Economics; Geography; Political science; Ecology; Biology; Politics","score_opus":0.013054128673612778,"score_gpt":0.22550295743571774,"score_spread":0.21244882876210497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406850295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768439,0.0026492712,0.0009219153,0.0013283439,0.000076918936,0.0002703104,0.000009495067,0.00012096064,0.017778898],"genre_scores_gemma":[0.9939405,0.00024605345,0.0041254866,0.0013591903,0.0000068736813,0.00006614465,0.0000026079585,0.0000032403761,0.0002499509],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990357,0.000022415443,0.00025057376,0.00039531104,0.000080854865,0.0002151348],"domain_scores_gemma":[0.9993055,0.00011264181,0.0001104221,0.0003636505,0.000033828634,0.0000739781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010500488,0.00018235446,0.0002701415,0.00024312022,0.00009282441,0.00004860669,0.00033880895,0.00014231955,0.000006691427],"category_scores_gemma":[0.000050554456,0.00013215453,0.00003461547,0.00028500237,0.00030670795,0.00021054044,0.0003340792,0.00010786927,0.0000044879994],"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":[0.00003535691,0.00006563505,0.42851436,0.000033236993,0.00016545095,0.0000068073946,0.00046422763,0.0000057101947,0.0001587466,0.56346065,0.0045528407,0.0025369502],"study_design_scores_gemma":[0.0008475078,0.0011747184,0.5178488,0.00050945155,0.00003531546,0.000008433621,0.00033096143,0.00074914936,0.015992103,0.45629546,0.0058376077,0.00037049945],"about_ca_topic_score_codex":0.00016168763,"about_ca_topic_score_gemma":0.000018591561,"teacher_disagreement_score":0.10716521,"about_ca_system_score_codex":0.00009796988,"about_ca_system_score_gemma":0.00012580754,"threshold_uncertainty_score":0.5389105},"labels":[],"label_agreement":null},{"id":"W4407721300","doi":"10.4236/ti.2025.161002","title":"Hospital Waste Management at the Provincial Hospital and the Notre Dame des Ap&amp;#244;tres Hospital of Sarh, Chad","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Healthcare and Environmental Waste Management","field":"Medicine","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":"Hospital waste; Emergency medicine; Operations management; Medical emergency; Medicine; Business; Waste management; Engineering","score_opus":0.007702256781569991,"score_gpt":0.23413640520456233,"score_spread":0.22643414842299234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407721300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93887776,0.0040117516,0.000033757504,0.045839954,0.00017407286,0.0018956357,0.000010532744,0.00006333298,0.009093226],"genre_scores_gemma":[0.9894252,0.0019246495,0.0004631107,0.0021276872,0.000037502512,0.00025099766,0.00001446734,0.0000145893655,0.0057418207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987177,0.00004238601,0.0003289447,0.00037782447,0.00020095924,0.00033213352],"domain_scores_gemma":[0.9992286,0.000037981958,0.0001107874,0.000539495,0.000018795296,0.0000643695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002489282,0.00023064375,0.00033844518,0.00018058806,0.00032089785,0.000015202923,0.00019232629,0.0001518614,0.000017867536],"category_scores_gemma":[0.000034603658,0.00013332444,0.00006869264,0.00026771094,0.0024035566,0.000050650648,0.00091794424,0.0002280728,0.000011435857],"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":[0.0005923411,0.0013934135,0.09149598,0.0014923884,0.0015013292,0.000092529466,0.004743244,0.000005334235,0.0002601315,0.69686186,0.016894186,0.18466724],"study_design_scores_gemma":[0.024166578,0.009798718,0.41047356,0.0017185112,0.0025401774,0.000077792785,0.051017836,0.00017864144,0.009976156,0.12672359,0.36194855,0.0013799121],"about_ca_topic_score_codex":0.00011024201,"about_ca_topic_score_gemma":0.00006566339,"teacher_disagreement_score":0.5701383,"about_ca_system_score_codex":0.00014306197,"about_ca_system_score_gemma":0.000023795188,"threshold_uncertainty_score":0.88560045},"labels":[],"label_agreement":null},{"id":"W4407796746","doi":"10.4236/ti.2025.161003","title":"Religiosity: Mediator of Tax Knowledge and Tax Compliance among Small Business Enterprises (SBEs)","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Taxation and Compliance Studies","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":"Religiosity; Compliance (psychology); Business; Mediator; Public economics; Accounting; Economics; Psychology; Medicine; Social psychology","score_opus":0.028049334192377633,"score_gpt":0.2353888751484823,"score_spread":0.20733954095610468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407796746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9471412,0.027948199,0.0009688568,0.0021796112,0.00022580558,0.0002066602,0.00004110211,0.00007093246,0.021217637],"genre_scores_gemma":[0.99505955,0.0022201478,0.00073805096,0.00041896317,0.000008388173,0.000056338922,0.0000025539075,0.0000053255267,0.0014906973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992439,0.000005379281,0.00032226605,0.00027502808,0.000012013322,0.00014139118],"domain_scores_gemma":[0.999485,0.000022661112,0.0002159349,0.00020232105,0.000046787583,0.000027260714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089350346,0.000116228184,0.0003344072,0.00037610374,0.00010719322,0.000011066413,0.00012672895,0.00011337844,0.000011118118],"category_scores_gemma":[0.000089783534,0.00012340643,0.000022220027,0.00044274342,0.00049656694,0.000051165982,0.00019089373,0.00009203507,0.000015439666],"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":[0.0000060394336,0.00005423904,0.48201472,0.00008535683,0.000047043657,6.3313576e-7,0.00009903876,3.7338222e-7,0.00002311372,0.51522994,0.0017054639,0.00073406193],"study_design_scores_gemma":[0.0007068022,0.00006478734,0.662201,0.00018242287,0.000016150407,0.0000020755044,0.0002188581,0.00010829583,0.001160912,0.2505222,0.084624715,0.00019179432],"about_ca_topic_score_codex":0.00006642252,"about_ca_topic_score_gemma":0.00010407859,"teacher_disagreement_score":0.26470774,"about_ca_system_score_codex":0.000024919826,"about_ca_system_score_gemma":0.000013745353,"threshold_uncertainty_score":0.50323683},"labels":[],"label_agreement":null},{"id":"W4408635683","doi":"10.4236/ti.2025.162004","title":"Effect of Digitisation of School Fee Payment on School Fee Processing Time&amp;#8212;A Comparative Study of Traditional and Digital Payment Systems","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Information Retrieval and Data Mining","field":"Computer Science","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":"Payment; Business; Payment system; Finance; Actuarial science","score_opus":0.025805052983561946,"score_gpt":0.273082930931294,"score_spread":0.24727787794773204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408635683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925972,0.00023626647,0.0038903991,0.00012853976,0.00004857062,0.00069517555,0.000028919989,0.000049392154,0.0023255367],"genre_scores_gemma":[0.99934417,0.000004719678,0.00045614332,0.000050307663,0.000004412725,0.000054916145,0.000022220549,0.0000017889781,0.00006130935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990031,0.000045676206,0.00043059728,0.0001948655,0.00022076511,0.000104967476],"domain_scores_gemma":[0.9993057,0.00010474891,0.00025965978,0.00021277733,0.00007678971,0.00004027355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025325816,0.00012407578,0.00030127208,0.00039526814,0.00008368405,0.000054661825,0.00018534066,0.00007286683,0.0000029456976],"category_scores_gemma":[0.000068225796,0.000095837044,0.000017224753,0.00039730358,0.00016260434,0.00048506574,0.00012295206,0.000103435894,0.000004160176],"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":[0.00046881987,0.0023908105,0.03880696,0.0015612912,0.00053489784,0.0000042664083,0.004312266,0.00045737356,0.0046383776,0.8794172,0.0015005866,0.065907165],"study_design_scores_gemma":[0.036962777,0.08604038,0.1900256,0.009439074,0.00064202555,0.00015755447,0.016189486,0.109355345,0.47968453,0.06116252,0.0077507226,0.0025899902],"about_ca_topic_score_codex":0.0000044244607,"about_ca_topic_score_gemma":3.2923793e-7,"teacher_disagreement_score":0.81825465,"about_ca_system_score_codex":0.000048375263,"about_ca_system_score_gemma":0.00006558224,"threshold_uncertainty_score":0.39081213},"labels":[],"label_agreement":null},{"id":"W4409663024","doi":"10.4236/ti.2025.162005","title":"Development and Evaluation of Predictive Machine Learning Models for Crude Oil Supply Chain Logistics in the USA","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Oil and Gas Production Techniques","field":"Engineering","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":"Supply chain; Crude oil; Computer science; Oil supply; Business; Petroleum engineering; Engineering; Marketing","score_opus":0.0336258342428505,"score_gpt":0.2659482769776208,"score_spread":0.23232244273477032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409663024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832325,0.0032917447,0.0103287725,0.00079092063,0.000047370057,0.0003114396,0.0000049635123,0.00015152112,0.0018407926],"genre_scores_gemma":[0.99147224,0.00029113775,0.007813834,0.0000691124,0.0000038415947,0.00028122962,0.000006409374,0.0000034251566,0.000058790323],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996115,0.000019395075,0.00013343211,0.00009787384,0.000060342813,0.00007743028],"domain_scores_gemma":[0.9998436,0.000022071717,0.000020150559,0.00007291129,0.00003514896,0.0000061346122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050515996,0.000063783424,0.00008730421,0.00021109307,0.000045391844,0.0000036626075,0.000050006827,0.00008237437,0.0000010283317],"category_scores_gemma":[0.000048658116,0.00004978835,0.0000059141585,0.00014424577,0.00008904476,0.00002995935,0.000024771576,0.00011062579,8.684838e-8],"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":[0.000032365457,0.00009175062,0.007141418,0.00032210973,0.00010204164,6.336088e-7,0.0025934426,0.027842341,0.0019762446,0.442988,0.00030472933,0.5166049],"study_design_scores_gemma":[0.0009507847,0.00019915261,0.004067438,0.00013440293,0.00007784719,0.000005679173,0.00078402273,0.42399582,0.15696585,0.40582922,0.0068278816,0.00016189275],"about_ca_topic_score_codex":0.000006315997,"about_ca_topic_score_gemma":0.000034589015,"teacher_disagreement_score":0.516443,"about_ca_system_score_codex":0.000037246416,"about_ca_system_score_gemma":0.000017999231,"threshold_uncertainty_score":0.203031},"labels":[],"label_agreement":null},{"id":"W4412015605","doi":"10.4236/ti.2025.163007","title":"Research and Development of Dual-Use Technologies in Latin America and the Caribbean as a Regional Evolution and Integration Tool","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Economic and Technological Innovation","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":"Latin Americans; Dual (grammatical number); Caribbean region; Regional science; Political science; Geography","score_opus":0.07444984064023492,"score_gpt":0.2753895454522392,"score_spread":0.2009397048120043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412015605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865187,0.0032056218,0.00080045953,0.008052931,0.000014352898,0.00032003396,0.000003532896,0.00006182926,0.0010225812],"genre_scores_gemma":[0.995427,0.00055800047,0.0036211987,0.00015109722,0.0000015185564,0.0001129359,0.0000036211275,0.00000290002,0.0001217218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991637,0.000013136864,0.00039078176,0.0002770547,0.000019253612,0.0001360984],"domain_scores_gemma":[0.9995801,0.000104060804,0.00012333263,0.00015319869,0.0000313669,0.000007948833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004863327,0.00008554899,0.00022619482,0.000939549,0.00014027646,0.000024921219,0.000069933325,0.000204841,0.000002378218],"category_scores_gemma":[0.00029336312,0.00006958712,0.0000059160443,0.00059193006,0.0016388601,0.00010228273,0.00023204967,0.00027227026,0.0000019278493],"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":[0.000031324755,0.000029632309,0.03418038,0.000011957845,0.000016107448,3.6859055e-7,0.00014532488,2.4434132e-7,0.000112878064,0.9527909,0.000055244305,0.012625638],"study_design_scores_gemma":[0.0007139648,0.00013252955,0.052403826,0.000037461516,0.0000017642568,0.0000034388531,0.0022181782,0.0003793512,0.0007217407,0.9389981,0.0043168953,0.00007276022],"about_ca_topic_score_codex":0.000117779906,"about_ca_topic_score_gemma":0.000049377984,"teacher_disagreement_score":0.018223446,"about_ca_system_score_codex":0.000072544564,"about_ca_system_score_gemma":0.000022865439,"threshold_uncertainty_score":0.6038448},"labels":[],"label_agreement":null},{"id":"W4413202085","doi":"10.4236/ti.2025.163009","title":"Mapping the Landscape of Green Human Resource Management (GHRM): A Bibliometric Approach","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","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":"Human resource management; Resource (disambiguation); Bibliometrics; Business; Environmental resource management; Regional science; Environmental planning; Computer science; Geography; Environmental science; Knowledge management; Library science","score_opus":0.015091942855329991,"score_gpt":0.21679661904132416,"score_spread":0.20170467618599416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413202085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9084678,0.0009928904,0.00025275382,0.005260868,0.00004243441,0.00067986926,7.364578e-7,0.00015715418,0.084145434],"genre_scores_gemma":[0.995333,0.00002066541,0.00037922198,0.0026236395,0.000048855578,0.00012535379,0.000010897212,0.000010434425,0.001447904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990249,0.000010868659,0.00027028413,0.00029668817,0.00015903244,0.00023817182],"domain_scores_gemma":[0.9993375,0.00001953713,0.00013878712,0.00046832746,0.000029975661,0.0000058680876],"candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.00039630765,0.00015570736,0.00019397396,0.013665264,0.00028120945,0.000047382924,0.00042486825,0.000118567,0.000023161881],"category_scores_gemma":[0.000024650906,0.00011599504,0.000037391914,0.024653027,0.0005084764,0.00016637637,0.000946746,0.00015348414,0.000009251111],"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":[0.000010154759,0.0002065686,0.14991437,0.0008186503,0.00009534747,0.0000042717243,0.000042724067,0.00001912394,0.00012994028,0.831493,0.0030043304,0.014261494],"study_design_scores_gemma":[0.0011379862,0.000032527292,0.5761833,0.0001144139,0.00013956094,0.000004056103,0.0070012375,0.00046692704,0.00016032129,0.19073531,0.22372863,0.00029572364],"about_ca_topic_score_codex":0.00009632089,"about_ca_topic_score_gemma":0.00000342101,"teacher_disagreement_score":0.64075774,"about_ca_system_score_codex":0.000040402763,"about_ca_system_score_gemma":0.000004283482,"threshold_uncertainty_score":0.997514},"labels":[],"label_agreement":null},{"id":"W7089650737","doi":"10.4236/ti.2025.164011","title":"Artificial Intelligence and Capital Solvency Ratios: Theoretical Foundations, Empirical Evidence, and Systemic Implications","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","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":"Solvency; Systemic risk; Corporate governance; Capital requirement; Empirical evidence; Capital market; Financial market; Economic capital","score_opus":0.040447171753059806,"score_gpt":0.2885612648518921,"score_spread":0.24811409309883228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7089650737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727229,0.0022946598,0.0081051355,0.014330146,0.00013037786,0.00032603485,0.0000034498007,0.0001568735,0.0019304237],"genre_scores_gemma":[0.9982666,0.00021548542,0.00015956997,0.0011681612,0.00006456518,0.00009145207,0.000009752841,0.0000037298041,0.000020677471],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993524,0.0000070824162,0.0002183969,0.00024696655,0.000048724352,0.00012641777],"domain_scores_gemma":[0.9997095,0.000039722523,0.000056075256,0.00013258476,0.000053207805,0.00000894296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001409647,0.00009820111,0.00011879289,0.00029517245,0.00030866743,0.00011089911,0.00007323391,0.00012513809,0.000016896634],"category_scores_gemma":[0.00017840075,0.00008599615,0.000013347502,0.00036304336,0.0006212239,0.0003010788,0.00016103014,0.000108069806,0.000009060723],"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":[0.000007482967,0.00003507882,0.027206846,0.00006730369,0.000008790809,6.6410837e-7,0.000026218993,5.689133e-7,0.00017409604,0.9556287,0.00026078775,0.016583486],"study_design_scores_gemma":[0.000045024564,0.000026592095,0.03795705,0.00014682236,0.000057263424,0.0000077421555,0.00038588428,0.0015461717,0.000105927866,0.95854294,0.0010854454,0.00009314431],"about_ca_topic_score_codex":0.000021288428,"about_ca_topic_score_gemma":0.000027105025,"teacher_disagreement_score":0.025543706,"about_ca_system_score_codex":0.000017474438,"about_ca_system_score_gemma":0.000022513732,"threshold_uncertainty_score":0.3506821},"labels":[],"label_agreement":null},{"id":"W7107855824","doi":"10.4236/ti.2025.164013","title":"Flexible Stock Market Algorithm","year":2025,"lang":"","type":"article","venue":"Technology and Investment","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","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":"National Research University Higher School of Economics","keywords":"Stock (firearms); Algorithmic trading; Stock market; Trading strategy; Stock exchange; Stock trading","score_opus":0.05108604023602292,"score_gpt":0.3744482108813212,"score_spread":0.32336217064529826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7107855824","genre_codex":"other","genre_gemma":"methods","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":[0.049964182,0.039023437,0.24023773,0.026176417,0.0059115468,0.002360981,0.00006751802,0.0011185185,0.6351397],"genre_scores_gemma":[0.0768068,0.0010087576,0.5571887,0.012346409,0.00016107736,0.0004617924,0.000004369444,0.000068297464,0.3519538],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99504566,0.00063670834,0.0012389487,0.0015137752,0.0006720851,0.0008928143],"domain_scores_gemma":[0.9957298,0.0017291143,0.00038627718,0.001668919,0.0002855805,0.00020031731],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005692149,0.0005294307,0.00086466194,0.0035688323,0.00078099914,0.00022435328,0.0014167805,0.0010046718,0.0017821137],"category_scores_gemma":[0.005069915,0.0004634919,0.00014606673,0.005743938,0.002257376,0.00023307333,0.0018516639,0.00086106465,0.00013109685],"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":[0.000052937343,0.00012035116,0.0031271311,0.000024970303,0.00011628895,0.000016572483,0.0000610669,9.4952543e-7,0.00006973537,0.20565408,0.06937567,0.72138023],"study_design_scores_gemma":[0.000806205,0.00037919733,0.0052974564,0.00016613844,0.00010411104,0.000048694186,0.0004618089,0.009716598,0.003191609,0.65076214,0.32873872,0.00032732548],"about_ca_topic_score_codex":0.000015793596,"about_ca_topic_score_gemma":0.0000035336361,"teacher_disagreement_score":0.7210529,"about_ca_system_score_codex":0.00018202887,"about_ca_system_score_gemma":0.0004588465,"threshold_uncertainty_score":0.99978167},"labels":[],"label_agreement":null},{"id":"W7115720819","doi":"10.4236/ti.2026.171001","title":"AI in Social Trading: Systemic Risks Calling for Next-Generation Regulation","year":2025,"lang":"","type":"article","venue":"Technology and Investment","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","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":"Systemic risk; Financial market; Financial stability; Social risk; Consumer protection; Market regulation","score_opus":0.07546989389429172,"score_gpt":0.2909950201397052,"score_spread":0.21552512624541348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115720819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96024066,0.0048946864,0.013972672,0.012585281,0.0009729328,0.0019867702,0.0000069798075,0.00029138703,0.0050486387],"genre_scores_gemma":[0.99510586,0.00006315828,0.00028964435,0.0029646596,0.00036107306,0.00030541836,0.00005059787,0.000026126965,0.00083346764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980619,0.000013099319,0.00070438767,0.000632708,0.000116088166,0.00047182338],"domain_scores_gemma":[0.999277,0.000031132393,0.00035016556,0.00019991994,0.00013242247,0.00000935939],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004552928,0.00032405052,0.0004372575,0.0017737718,0.0005880664,0.00038369276,0.00022421953,0.00066722184,0.000010394766],"category_scores_gemma":[0.00018125765,0.000374008,0.00007662902,0.001595633,0.00030199162,0.0011958478,0.0001735941,0.00034453472,0.0000128318525],"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":[0.000049326067,0.00009924486,0.0052702297,0.0007700365,0.00004462248,0.0000026586124,0.00005194563,0.000031320462,0.016988514,0.9559057,0.006024551,0.014761888],"study_design_scores_gemma":[0.0027510764,0.00011022847,0.004885905,0.0016406034,0.00024085636,0.0000067762026,0.0005200598,0.23162219,0.008754808,0.6875621,0.06114836,0.0007569987],"about_ca_topic_score_codex":0.0000642108,"about_ca_topic_score_gemma":0.00007412078,"teacher_disagreement_score":0.26834354,"about_ca_system_score_codex":0.00029914046,"about_ca_system_score_gemma":0.00006679792,"threshold_uncertainty_score":0.9998712},"labels":[],"label_agreement":null}]}