{"meta":{"query_hash":"16ed955cb4a9","filters":{"venue":"American Business Review"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/16ed955cb4a9","api":"https://metacan.xera.ac/api/v1/cohort?venue=American+Business+Review"},"results":[{"id":"W3100585835","doi":"10.37625/abr.23.2.334-357","title":"Seller Financing: Contracting Out of the Lemons and Moral Hazard Problems When They May Co-Exist","year":2020,"lang":"en","type":"article","venue":"American Business Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Moral hazard; Business; Asset (computer security); Database transaction; Finance; Loan; Quality (philosophy); Asset quality; Economics; Microeconomics; Incentive; Computer security; Computer science","score_opus":0.06849584534257283,"score_gpt":0.24879173456504977,"score_spread":0.18029588922247694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100585835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6395715,0.007516226,0.24777633,0.02295907,0.000209812,0.00056392397,0.00065960234,0.00018643543,0.0805571],"genre_scores_gemma":[0.9861449,0.00076216256,0.0064300513,0.000536522,0.00016806542,0.00010590862,0.000084003594,0.000013329278,0.005754869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99412256,0.0033499773,0.00032423978,0.00082186883,0.00072484167,0.0006565762],"domain_scores_gemma":[0.9353714,0.03945446,0.0185779,0.0038274091,0.0013600144,0.0014087498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0148407025,0.00035362295,0.0012540831,0.0011337623,0.0013191289,0.0041923146,0.0013856976,0.004221631,0.012921938],"category_scores_gemma":[0.055715296,0.00066363567,0.0009966765,0.0010830568,0.0037252023,0.0070387525,0.0026374287,0.0037960403,0.00057941343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065568555,0.0004942893,0.16508973,0.0006275952,0.00040788672,0.0039905715,0.00276451,0.018724555,0.001311063,0.6730126,0.008973299,0.123948194],"study_design_scores_gemma":[0.00046519996,0.0004670289,0.077119455,0.000433436,0.0003068019,0.0043845805,0.0030797904,0.08088012,0.0013913804,0.8107849,0.020532236,0.0001550962],"about_ca_topic_score_codex":0.0022997,"about_ca_topic_score_gemma":0.0017677872,"teacher_disagreement_score":0.0148407025,"about_ca_system_score_codex":0.0016505191,"about_ca_system_score_gemma":0.0016798761,"threshold_uncertainty_score":0.078486085},"labels":[],"label_agreement":null},{"id":"W3163046818","doi":"10.37625/abr.24.1.54-66","title":"Have Business Cycles Become More Synchronous After NAFTA?","year":2021,"lang":"en","type":"article","venue":"American Business Review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business cycle; Robustness (evolution); Hodrick–Prescott filter; Filter (signal processing); Synchronization (alternating current); International business; Economics; International trade; International economics; Business; Macroeconomics; Computer science; Telecommunications; Management","score_opus":0.04108315316829236,"score_gpt":0.25483277389854514,"score_spread":0.21374962073025278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163046818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854382,0.0018299767,0.0012791693,0.002237834,0.00007549162,0.000016836524,0.00084717677,0.000039747043,0.008235481],"genre_scores_gemma":[0.99808973,0.00044587057,0.000167395,0.0001673034,0.00007083085,0.000007458095,0.00039341956,0.000007856986,0.00065027864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994037,0.00008473726,0.000056190776,0.00022009609,0.000115413255,0.000119735174],"domain_scores_gemma":[0.9934016,0.0013609763,0.003574385,0.00040849988,0.0009134104,0.00034112547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015508956,0.00013523744,0.00035528024,0.001309927,0.00051361416,0.0016671395,0.00026459937,0.0006809196,0.003129397],"category_scores_gemma":[0.009685508,0.00011906877,0.00031339648,0.0017921815,0.0005799024,0.0012482789,0.0004805413,0.0006346835,0.00032117587],"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":[0.00027558673,0.00006092608,0.91692334,0.00009600204,0.0002507313,0.00043823794,0.0019218323,0.0013910666,0.0021540513,0.0084239915,0.002389633,0.06567458],"study_design_scores_gemma":[0.000006639649,0.0000302647,0.9905186,0.000025679074,0.000038366903,0.000060966366,0.00060628017,0.000562206,0.00035274532,0.0015021615,0.0062856493,0.0000103073235],"about_ca_topic_score_codex":0.024970748,"about_ca_topic_score_gemma":0.02508927,"teacher_disagreement_score":0.024970748,"about_ca_system_score_codex":0.0010127308,"about_ca_system_score_gemma":0.00072154385,"threshold_uncertainty_score":0.04965079},"labels":[],"label_agreement":null},{"id":"W3211766101","doi":"10.37625/abr.24.2.62-99","title":"Financial Frictions and Macroeconomy During Financial Crises: A Bayesian DSGE Assessment","year":2021,"lang":"en","type":"article","venue":"American Business Review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dynamic stochastic general equilibrium; Variance decomposition of forecast errors; Economics; Financial accelerator; Financial crisis; Business cycle; Finance; Investment (military); Monetary economics; Macroeconomics; Monetary policy; Econometrics","score_opus":0.037286231745150424,"score_gpt":0.26034192566461656,"score_spread":0.22305569391946614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211766101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64968497,0.0031950565,0.3282743,0.0024846168,0.00008322182,0.00014314395,0.0016220652,0.00021303279,0.014299533],"genre_scores_gemma":[0.9710668,0.0023850687,0.023006639,0.00014791529,0.00006198235,0.00010401246,0.001036585,0.00005733671,0.0021336873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994375,0.00029024365,0.000042700238,0.000092614166,0.00008065519,0.00005629679],"domain_scores_gemma":[0.9979285,0.0013083805,0.00030590178,0.00011488122,0.00023828949,0.00010404807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037539366,0.0007750471,0.0013085552,0.0019260288,0.00045365337,0.0027439024,0.00083935115,0.002018426,0.0015117365],"category_scores_gemma":[0.010912915,0.00087799644,0.0015368976,0.0013059119,0.0009036229,0.0026023646,0.0015574248,0.0013876931,0.00023347462],"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":[0.00007908205,0.000023816496,0.011903463,0.00006063507,0.00017393216,0.00016292409,0.00017854964,0.9090033,0.00037816082,0.06830758,0.0008133194,0.008915269],"study_design_scores_gemma":[0.00002152507,0.000019703859,0.004416199,0.000038096485,0.000056374094,0.000060377188,0.0000699333,0.9569569,0.00008368492,0.03685832,0.0013866571,0.000032146458],"about_ca_topic_score_codex":0.021103151,"about_ca_topic_score_gemma":0.00826542,"teacher_disagreement_score":0.021103151,"about_ca_system_score_codex":0.0011580454,"about_ca_system_score_gemma":0.0012460372,"threshold_uncertainty_score":0.041960597},"labels":[],"label_agreement":null},{"id":"W3214041289","doi":"10.37625/abr.24.2.147-172","title":"The Co-Evolution of Global Legitimation and Technology Upgrading: The Case of Huawei","year":2021,"lang":"en","type":"article","venue":"American Business Review","topic":"International Business and FDI","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":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Legitimation; Legitimacy; Multinational corporation; Business; Corporate social responsibility; Foreign direct investment; Process (computing); Economic system; Investment (military); Economic geography; Industrial organization; Political science; Public relations; Economics","score_opus":0.010553518458860546,"score_gpt":0.2675700953876341,"score_spread":0.25701657692877355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214041289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829668,0.00011337573,0.00029331917,0.00078457396,0.0000033917697,0.000015415018,0.0000042819674,0.000002845575,0.015815962],"genre_scores_gemma":[0.9988864,0.00007719523,0.00010814717,0.000045496217,0.0000015333725,0.000004523747,0.0000026243233,6.567876e-7,0.0008734095],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9991721,0.00022799862,0.000020939347,0.00006418662,0.0001136984,0.0004010031],"domain_scores_gemma":[0.99844235,0.00067333557,0.00031089236,0.00012528573,0.00017516555,0.0002729705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016529165,0.00016080229,0.00021830075,0.0015375804,0.0060157524,0.0031474973,0.00049907126,0.001166369,0.0011734852],"category_scores_gemma":[0.0022785673,0.0001767064,0.0001634569,0.0018754107,0.007410856,0.002268236,0.0023697591,0.0012109256,0.00005679022],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013558142,0.00030269835,0.288413,0.00018008785,0.00007950518,0.040138353,0.34530264,0.0021316772,0.005333309,0.2630318,0.0021966493,0.05275468],"study_design_scores_gemma":[0.000097702796,0.00029848155,0.42998517,0.00027225146,0.00021665494,0.004175695,0.4301083,0.012541783,0.005527204,0.033037376,0.08357336,0.00016615652],"about_ca_topic_score_codex":0.18462074,"about_ca_topic_score_gemma":0.23036838,"teacher_disagreement_score":0.18462074,"about_ca_system_score_codex":0.008740859,"about_ca_system_score_gemma":0.006568075,"threshold_uncertainty_score":0.36709225},"labels":[],"label_agreement":null},{"id":"W4229041035","doi":"10.37625/abr.25.1.83-91","title":"Does Absorptive Capacity Protect Shareholder Wealth in Times of Crisis? Evidence from the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"American Business Review","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University","funders":"","keywords":"Absorptive capacity; Coronavirus disease 2019 (COVID-19); Monetary economics; Shareholder; Business; Propensity score matching; Stock (firearms); Pandemic; Stock market; Financial system; Economics; Corporate governance; Finance; Industrial organization; Internal medicine","score_opus":0.1383210779056593,"score_gpt":0.3232779861231298,"score_spread":0.1849569082174705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229041035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796165,0.005693539,0.00031924323,0.005821927,0.000026257288,0.000009928946,0.00038673257,0.000006437111,0.008119488],"genre_scores_gemma":[0.9976247,0.0017604728,0.000029558425,0.00015586427,0.000028280909,0.0000016784279,0.000110030865,0.0000013840331,0.00028799358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997123,0.000101253965,0.000020442056,0.00003387003,0.000041312323,0.000090721325],"domain_scores_gemma":[0.9886446,0.00431598,0.0051843296,0.00041689072,0.0006568505,0.0007813251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013873588,0.00014044208,0.00024412828,0.00079879846,0.00020490821,0.0008513003,0.00028432405,0.00066267495,0.0033529578],"category_scores_gemma":[0.009293872,0.00010055288,0.00030986517,0.0009266642,0.00074007985,0.001186449,0.0008021669,0.00080093375,0.0002711373],"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":[0.0009949676,0.0002820051,0.92389816,0.0003174075,0.0003187127,0.0007819846,0.00068354444,0.0043070475,0.001206244,0.009780444,0.0054593533,0.05197016],"study_design_scores_gemma":[0.00003751134,0.00018364107,0.98626816,0.000115920986,0.00014742865,0.00013475632,0.0014852269,0.0017464054,0.0005419099,0.004076842,0.0052486034,0.000013752474],"about_ca_topic_score_codex":0.0069540786,"about_ca_topic_score_gemma":0.005961292,"teacher_disagreement_score":0.0069540786,"about_ca_system_score_codex":0.00047670328,"about_ca_system_score_gemma":0.00046149673,"threshold_uncertainty_score":0.013827205},"labels":[],"label_agreement":null},{"id":"W4309314499","doi":"10.37625/abr.25.2.452-487","title":"Natural Disaster Impacts on U.S. Banks","year":2022,"lang":"en","type":"article","venue":"American Business Review","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Arizona State University; University of South Carolina; U.S. Department of Homeland Security; Federal Emergency Management Agency; National Science Foundation","keywords":"Natural disaster; Loan; Business; Finance; Natural resource economics; Financial system; Economics; Geography","score_opus":0.018511044518686,"score_gpt":0.23354465890266604,"score_spread":0.21503361438398005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309314499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99209964,0.0006229077,0.000053567852,0.0011376988,0.000027437176,0.000009471479,0.0027096483,0.000009621146,0.0033300363],"genre_scores_gemma":[0.99582845,0.0010557879,0.000030288493,0.00017497943,0.000034143177,0.000008969431,0.0018813272,0.0000024102271,0.0009834826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996948,0.000059323727,0.000029265637,0.00003679404,0.00006583513,0.00011396398],"domain_scores_gemma":[0.99606955,0.0004503803,0.002211986,0.00008610132,0.00068031834,0.0005016915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048524764,0.00017110935,0.00012007395,0.00083262473,0.00046575285,0.0010333423,0.00019093255,0.0004091944,0.0022662857],"category_scores_gemma":[0.0026774525,0.000092203176,0.00020683445,0.001648173,0.00032586334,0.00054659834,0.00074597605,0.0005519605,0.0004299134],"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":[0.0001437543,0.00011151149,0.97843254,0.000038647056,0.000048312,0.00017762664,0.00041127906,0.0012327833,0.00012166942,0.00038552083,0.009176702,0.009719604],"study_design_scores_gemma":[0.00000861318,0.000068425026,0.9936254,0.00003393353,0.000022490252,0.00007142516,0.0017849344,0.0007427959,0.00015752793,0.00018641313,0.0032905524,0.000007475123],"about_ca_topic_score_codex":0.0815187,"about_ca_topic_score_gemma":0.11798302,"teacher_disagreement_score":0.0815187,"about_ca_system_score_codex":0.0011346224,"about_ca_system_score_gemma":0.0013832058,"threshold_uncertainty_score":0.16208845},"labels":[],"label_agreement":null},{"id":"W4388672773","doi":"10.37625/abr.26.2.448-457","title":"Capital Age and Labor Investment Efficiency","year":2023,"lang":"en","type":"article","venue":"American Business Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The King's University; Western University","funders":"","keywords":"Labour economics; Investment (military); Economics; Capital (architecture); Variety (cybernetics); Sample (material); Capital investment; Business; Finance","score_opus":0.017436369179167747,"score_gpt":0.234586010313872,"score_spread":0.21714964113470425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388672773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97275215,0.003141202,0.0024024055,0.0006539598,0.000031505428,0.000029151764,0.0010201468,0.00001817403,0.019951252],"genre_scores_gemma":[0.9967866,0.00048776303,0.0002342617,0.00007014312,0.000036114365,0.0000059219924,0.00033761232,0.000003844154,0.0020377042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993864,0.000158283,0.00007069051,0.00010084086,0.00012927408,0.00015450391],"domain_scores_gemma":[0.98631984,0.0046208045,0.0068337996,0.0005663933,0.00081449444,0.00084468204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015278974,0.0001559095,0.00021510976,0.0010099814,0.00022900921,0.0010927307,0.00017563954,0.0002498273,0.0041597565],"category_scores_gemma":[0.010618238,0.000085757514,0.00022098552,0.0011242385,0.00037941313,0.0010132992,0.0005364461,0.00040336407,0.0006928863],"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":[0.000073583324,0.0000623915,0.9711704,0.00003757018,0.00008110091,0.00008559258,0.00032754496,0.0013408343,0.00026950953,0.005480596,0.0009439941,0.02012681],"study_design_scores_gemma":[0.000007768491,0.00008222399,0.9856149,0.000039383343,0.000036813013,0.0001362667,0.00029208677,0.0008199099,0.00035205754,0.005306254,0.0073019564,0.000010311904],"about_ca_topic_score_codex":0.002208294,"about_ca_topic_score_gemma":0.0030265222,"teacher_disagreement_score":0.0041597565,"about_ca_system_score_codex":0.0005329794,"about_ca_system_score_gemma":0.00039272013,"threshold_uncertainty_score":0.013915718},"labels":[],"label_agreement":null},{"id":"W4388672777","doi":"10.37625/abr.26.2.475-502","title":"Environmental Sustainability Strategy, Creativity, Innovation and Organizational Performance: The Role of Green Human Resource Management","year":2023,"lang":"en","type":"article","venue":"American Business Review","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Athabasca University","funders":"","keywords":"Creativity; Sustainability; Business; Unintended consequences; Human resource management; Knowledge management; Organizational behavior and human resources; Organizational performance; Marketing; Psychology; Social psychology; Computer science; Political science; Ecology","score_opus":0.008511892333088186,"score_gpt":0.233155017523447,"score_spread":0.2246431251903588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388672777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41350186,0.29645452,0.007591932,0.0530667,0.00061485183,0.00009532229,0.00011255418,0.000040273946,0.22852202],"genre_scores_gemma":[0.9592168,0.035700247,0.0010645731,0.0012528638,0.00018397813,0.000023969897,0.00002717811,0.000007764169,0.0025226434],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978264,0.001314807,0.00006422133,0.00015009375,0.0004085001,0.00023602232],"domain_scores_gemma":[0.99295604,0.0043446636,0.0012498524,0.00015562637,0.00084803894,0.00044578288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029747824,0.00024921732,0.00027411446,0.0012813043,0.0005468438,0.003066813,0.0003886503,0.0009962986,0.0027202426],"category_scores_gemma":[0.004175039,0.00009908024,0.00037871354,0.0012640529,0.00235314,0.0014320879,0.0010306445,0.0010229718,0.00022083301],"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":[0.00023782655,0.0010372073,0.24084021,0.003753608,0.0007867131,0.0006980366,0.0050994693,0.0049920096,0.0018894759,0.32320264,0.01458155,0.4028813],"study_design_scores_gemma":[0.000060520586,0.000720606,0.7042091,0.0041006263,0.00056166254,0.00056205,0.012554547,0.004611465,0.0015400146,0.12570924,0.14526948,0.00010068086],"about_ca_topic_score_codex":0.005934686,"about_ca_topic_score_gemma":0.009098931,"teacher_disagreement_score":0.005934686,"about_ca_system_score_codex":0.0017622379,"about_ca_system_score_gemma":0.0039544436,"threshold_uncertainty_score":0.015732348},"labels":[],"label_agreement":null},{"id":"W4395471477","doi":"10.2139/ssrn.4807934","title":"Do Political Connections Pay for Pledging of Shares: Evidence from India","year":2024,"lang":"en","type":"preprint","venue":"American Business Review","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Politics; Business; Law and economics; Economics; Political science; Law","score_opus":0.0815710352214495,"score_gpt":0.3440579727161618,"score_spread":0.2624869374947123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395471477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99076056,0.00078830274,0.0000637296,0.0006144245,0.000008469207,0.0000063129924,0.000119575205,0.0000024580788,0.0076361108],"genre_scores_gemma":[0.9987826,0.00070884917,0.000020231053,0.000084871936,0.000016764392,0.0000021188448,0.000062425956,0.0000012949967,0.00032083862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917847,0.00030029812,0.000040718052,0.0000863176,0.00018519931,0.00020898115],"domain_scores_gemma":[0.98910135,0.0038093976,0.0053503127,0.00037536226,0.00051225413,0.0008514169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079047965,0.000122847,0.00016237216,0.0009962375,0.00060247816,0.0015917919,0.00036799206,0.00036892202,0.0028936919],"category_scores_gemma":[0.0059214057,0.00014759492,0.00021501233,0.0016281488,0.00090966205,0.0005168407,0.0008941934,0.0006387642,0.0003383755],"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":[0.00013955634,0.00013219772,0.97570723,0.00010848589,0.000084299674,0.00042267662,0.0035799185,0.00008463906,0.00027058812,0.0013549742,0.0009936875,0.01712176],"study_design_scores_gemma":[0.000007867551,0.000040066217,0.9925569,0.000038138154,0.000059966103,0.00015878961,0.004469576,0.00007111297,0.00011466916,0.0001708963,0.00230709,0.000004926901],"about_ca_topic_score_codex":0.016516848,"about_ca_topic_score_gemma":0.022295138,"teacher_disagreement_score":0.016516848,"about_ca_system_score_codex":0.0004073399,"about_ca_system_score_gemma":0.000781785,"threshold_uncertainty_score":0.032841384},"labels":[],"label_agreement":null},{"id":"W4416583266","doi":"10.37625/abr.28.2.319-342","title":"Implementing Responsible Artificial Intelligence in Marketing","year":2025,"lang":"en","type":"article","venue":"American Business Review","topic":"AI in Service Interactions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Business ethics; Corporate governance; Virtue ethics; Corporate social responsibility; Conceptual framework; Equity (law); Marketing ethics; Key (lock); Conceptual model","score_opus":0.026043161408152875,"score_gpt":0.3568986621524226,"score_spread":0.3308555007442697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416583266","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016688371,0.2674829,0.09974521,0.32450613,0.0027360327,0.00032065375,0.00003260139,0.00014912225,0.28833896],"genre_scores_gemma":[0.7205405,0.18540874,0.03929972,0.038575638,0.0016422617,0.00035817773,0.000035705547,0.00009669282,0.014042539],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9531101,0.03624373,0.0013701171,0.0014652847,0.0065941312,0.0012165492],"domain_scores_gemma":[0.95300984,0.03515803,0.004058349,0.0026059353,0.0043206937,0.00084707077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03632592,0.00041256857,0.00045010934,0.0016936507,0.002368099,0.009716195,0.0013600516,0.0058360533,0.002469581],"category_scores_gemma":[0.03634294,0.00034056098,0.00042813987,0.0017793975,0.0148711,0.009285368,0.0032354542,0.0047341194,0.0006193842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007696512,0.000035146797,0.00039234766,0.0007560305,0.000026427924,0.00004826904,0.0010232526,0.0011178085,0.00015651017,0.9006622,0.006598087,0.089176156],"study_design_scores_gemma":[0.000014924772,0.000048025493,0.0009962001,0.0027029833,0.000023099408,0.00011389006,0.0018094539,0.0015926568,0.0007078596,0.63311625,0.35884485,0.000029799012],"about_ca_topic_score_codex":0.0036385492,"about_ca_topic_score_gemma":0.003191175,"teacher_disagreement_score":0.03632592,"about_ca_system_score_codex":0.0067688697,"about_ca_system_score_gemma":0.01840399,"threshold_uncertainty_score":0.19211209},"labels":[],"label_agreement":null}]}