{"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":"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":[0.3398242,0.11394325,0.001939719,0.10618624,0.001581446,0.0033405446,0.00041827382,0.00026696874,0.43249935],"genre_scores_gemma":[0.905578,0.0908291,0.00046247206,0.0028821423,0.00008897911,0.00002149795,0.000007666654,0.00003981293,0.00009032584],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869245,0.000029056153,0.0006960718,0.0003129859,0.00003099456,0.00023842524],"domain_scores_gemma":[0.9987583,0.00006291599,0.00075163366,0.00030561353,0.000046525245,0.00007497002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036281926,0.00018640845,0.000871361,0.000033379994,0.00009426809,0.00004812071,0.00026059616,0.000033882312,0.000074312724],"category_scores_gemma":[0.00025410342,0.0001609447,0.00011719451,0.00023744344,0.00022189059,0.00015343627,0.00008268534,0.00014671682,0.000078800214],"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":[0.00004239266,0.00015230467,0.6113794,0.010003601,0.00028120755,0.000006888411,0.0035821951,0.00044750058,0.00007959153,0.012603163,0.028838461,0.33258328],"study_design_scores_gemma":[0.00048456722,0.00005489126,0.060342304,0.0012199881,0.000068959605,0.0000096530885,0.00010169512,0.001305486,0.000017596432,0.0019827217,0.9337992,0.00061292294],"about_ca_topic_score_codex":0.0003249945,"about_ca_topic_score_gemma":0.000060710223,"teacher_disagreement_score":0.90496075,"about_ca_system_score_codex":0.00003444136,"about_ca_system_score_gemma":0.00004060283,"threshold_uncertainty_score":0.6563134},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3993716,0.54869306,0.0019839297,0.033840697,0.0009008586,0.00072725525,0.0006833681,0.00016114509,0.01363808],"genre_scores_gemma":[0.77708036,0.20035097,0.0011208339,0.019424234,0.00037803338,0.00014443176,0.00016603131,0.00008618586,0.001248941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975435,0.000037933474,0.0010246673,0.00073856034,0.000050816292,0.000604486],"domain_scores_gemma":[0.9980905,0.000058015954,0.0006402704,0.000925767,0.00010578503,0.00017966959],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029558458,0.0003791022,0.0014581511,0.00016131187,0.00010380927,0.000101652564,0.0003244274,0.000066098124,0.0042958986],"category_scores_gemma":[0.0002956639,0.00041430027,0.00024179515,0.001056156,0.00027893373,0.0004235631,0.00014878428,0.00016855262,0.0024330472],"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":[0.00013343657,0.0012718278,0.54234886,0.017541863,0.0013144485,0.0011898784,0.0010759461,0.0019525811,0.000022440634,0.006124941,0.06544444,0.36157936],"study_design_scores_gemma":[0.00030728724,0.000018880968,0.5912959,0.0009971871,0.000058441226,0.00016120017,0.000054661952,0.0003378663,0.000006663005,0.00054517994,0.40546504,0.00075170636],"about_ca_topic_score_codex":0.003158414,"about_ca_topic_score_gemma":0.0000887828,"teacher_disagreement_score":0.37770876,"about_ca_system_score_codex":0.000121657315,"about_ca_system_score_gemma":0.00008328583,"threshold_uncertainty_score":0.9998309},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72527874,0.2035546,0.013524946,0.022309015,0.001363296,0.001223233,0.0009652854,0.00018587481,0.03159501],"genre_scores_gemma":[0.8234147,0.1645784,0.0031128672,0.0073852427,0.00044833525,0.0001501275,0.000072567185,0.000048400972,0.00078940287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979828,0.00003605649,0.00085688836,0.00063258427,0.000029876566,0.0004618107],"domain_scores_gemma":[0.9987704,0.000040630293,0.00052208034,0.0004836449,0.000040302813,0.000142941],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025289404,0.00027485806,0.0010370756,0.00014768419,0.00026519393,0.000094125084,0.00016942999,0.000054896933,0.0013637232],"category_scores_gemma":[0.00029446738,0.00033052242,0.00016764911,0.00068427203,0.0001545279,0.00038292026,0.00012105972,0.00019652113,0.00025958067],"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":[0.000089280045,0.0013535055,0.47563502,0.015254559,0.0006778942,0.0005780514,0.0009410818,0.0007657167,0.00009427008,0.18707955,0.06380582,0.25372526],"study_design_scores_gemma":[0.00050252944,0.00003624322,0.62795943,0.00051447086,0.00004912948,0.00014578784,0.000026476846,0.0003720623,0.000009043208,0.0026614335,0.3671075,0.000615846],"about_ca_topic_score_codex":0.00096687797,"about_ca_topic_score_gemma":0.000083383886,"teacher_disagreement_score":0.3033017,"about_ca_system_score_codex":0.00013865612,"about_ca_system_score_gemma":0.00014886113,"threshold_uncertainty_score":0.9999147},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6056895,0.23232847,0.008027246,0.12800458,0.00089833944,0.0015272276,0.000050339426,0.00014947554,0.023324791],"genre_scores_gemma":[0.99167174,0.007402483,0.00008244308,0.0006514106,0.000117302305,0.000024679459,0.000013128299,0.000007955333,0.000028830013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992318,0.000017950373,0.00034128336,0.000149091,0.00013682555,0.00012305727],"domain_scores_gemma":[0.9979352,0.00006052302,0.0005789242,0.000254737,0.0011663861,0.000004249904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002555144,0.000106862404,0.0002793609,0.000047248104,0.00017493457,0.00005220612,0.00017245478,0.000021634452,0.000023744957],"category_scores_gemma":[0.00048883306,0.00006438454,0.000048152084,0.0023594757,0.00053198717,0.0002487763,0.000117121745,0.000053595588,0.000009444939],"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":[0.00001229844,0.00005707492,0.015395692,0.002154503,0.00006281295,0.000069993424,0.000004497947,0.000010866647,0.00017122882,0.6875531,0.0029696138,0.2915383],"study_design_scores_gemma":[0.0011500963,0.00004053523,0.25657597,0.007083903,0.00112599,0.0032429325,0.0023254994,0.0047860728,0.00016779568,0.03594173,0.68664056,0.0009189458],"about_ca_topic_score_codex":0.0013264983,"about_ca_topic_score_gemma":0.00016246973,"teacher_disagreement_score":0.68367094,"about_ca_system_score_codex":0.000032008753,"about_ca_system_score_gemma":0.0000590843,"threshold_uncertainty_score":0.26255253},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3917912,0.4322443,0.0039000432,0.15847677,0.0009291242,0.007480159,0.0042649806,0.00023097836,0.0006824159],"genre_scores_gemma":[0.87249106,0.09346248,0.00016405512,0.03319191,0.000056706853,0.0005217158,0.000024068562,0.000030628882,0.000057386704],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975287,0.00032320336,0.0010234143,0.00062011555,0.00014201534,0.0003625857],"domain_scores_gemma":[0.99646676,0.0010885405,0.0014563723,0.00080485817,0.000065446664,0.00011804517],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022832137,0.00023996117,0.0011042071,0.00016522205,0.00016416582,0.000025000938,0.0008005314,0.000031870615,0.004314346],"category_scores_gemma":[0.005118508,0.0001666173,0.00014880212,0.0022012154,0.0002786186,0.0002449222,0.0003290929,0.0004139088,0.00009504549],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096651296,0.00019913758,0.9487808,0.0034106092,0.00012467745,0.000013719655,0.0040027983,0.0009268072,0.000028364404,0.0010460503,0.023194589,0.018175792],"study_design_scores_gemma":[0.00073123496,0.00013600642,0.44728923,0.0020472372,0.000066141205,0.000020363486,0.0007311564,0.00021744665,0.000006913097,0.008444382,0.5395325,0.00077739777],"about_ca_topic_score_codex":0.086348444,"about_ca_topic_score_gemma":0.00068920234,"teacher_disagreement_score":0.51633793,"about_ca_system_score_codex":0.00079739344,"about_ca_system_score_gemma":0.0003916054,"threshold_uncertainty_score":0.99659586},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19525394,0.6032651,0.0008618203,0.029888617,0.0047698035,0.0025486434,0.0005680307,0.00025835636,0.1625857],"genre_scores_gemma":[0.9152985,0.06295115,0.00007424656,0.02031847,0.00010831033,0.00018090488,0.000045579767,0.00003215848,0.000990643],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874395,0.000025990112,0.00046541978,0.0003733472,0.00007807617,0.00031322724],"domain_scores_gemma":[0.99901414,0.000020377613,0.00045602582,0.0004363358,0.000029705332,0.00004338986],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003424286,0.00017226295,0.0005966256,0.00013145394,0.00019237408,0.000028925111,0.00031561524,0.000009587104,0.00095849147],"category_scores_gemma":[0.000095833755,0.00017681024,0.0001363354,0.0012468081,0.00007542368,0.00012725052,0.00015680103,0.00020305921,0.0010076326],"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":[0.000081392136,0.0004552968,0.021136276,0.001654211,0.00010809682,0.00007329663,0.00028171486,0.00017258,0.000004461838,0.16048448,0.090118006,0.7254302],"study_design_scores_gemma":[0.00014612332,0.000074725845,0.14237379,0.00015760487,0.000008478287,0.00000440404,0.000019962145,0.000025603735,4.3096952e-7,0.0004651137,0.8564698,0.00025399157],"about_ca_topic_score_codex":0.0003997247,"about_ca_topic_score_gemma":0.000007342428,"teacher_disagreement_score":0.76635176,"about_ca_system_score_codex":0.00014220402,"about_ca_system_score_gemma":0.000017116423,"threshold_uncertainty_score":0.99995476},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9528587,0.02842808,0.000047758553,0.011810477,0.00033415543,0.0006199131,0.00001482396,0.00035702542,0.0055290656],"genre_scores_gemma":[0.8025512,0.13416533,0.000093034534,0.060968403,0.00070532644,0.00015028942,0.00009011839,0.000063770014,0.0012125109],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989695,0.0000073548877,0.0002340097,0.0003083797,0.00020608075,0.0002746508],"domain_scores_gemma":[0.9992577,0.000019437108,0.00031772093,0.00025953905,0.00013189431,0.000013752295],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018010609,0.00018001677,0.00037525868,0.00009786445,0.000097654316,0.000084736916,0.00017694558,0.000014446227,0.0000678697],"category_scores_gemma":[0.00015116017,0.0001508986,0.000042756434,0.0035522247,0.00019037529,0.0004385332,0.00014214945,0.000061740604,0.001061164],"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":[0.000030640847,0.0002689906,0.21088642,0.01936443,0.00006733218,0.0012543174,0.00010667168,0.00006588613,0.00034838522,0.052766528,0.2701743,0.44466612],"study_design_scores_gemma":[0.00010925455,0.000004888569,0.57067186,0.00078290055,0.000034393353,0.000002233744,0.00001596499,0.000042204218,4.4708378e-7,0.00023391306,0.42792967,0.00017227132],"about_ca_topic_score_codex":0.0011057542,"about_ca_topic_score_gemma":0.00005865548,"teacher_disagreement_score":0.44449383,"about_ca_system_score_codex":0.000014472749,"about_ca_system_score_gemma":0.000027814469,"threshold_uncertainty_score":0.99971664},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99165606,0.00118607,0.000016773836,0.0032633177,0.000018688317,0.0011686985,0.000006839146,0.00009981516,0.0025837175],"genre_scores_gemma":[0.9959527,0.0023358322,0.000017188357,0.00093715417,0.00012084034,0.00010434209,0.00024215586,0.00003845166,0.00025132456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982577,0.00004478625,0.00053502095,0.0003919409,0.0004674771,0.0003030603],"domain_scores_gemma":[0.9987578,0.00004793196,0.000509252,0.0004873449,0.00018627629,0.00001141013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072865776,0.00025358528,0.00038048602,0.00024307682,0.0003427135,0.0000694552,0.0003508746,0.00003104059,0.00019084453],"category_scores_gemma":[0.00009682652,0.00020052417,0.00004013185,0.004755729,0.00091638125,0.00061256863,0.000746334,0.00011317103,0.00004481703],"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":[0.000017297793,0.0001909718,0.67341447,0.008686287,0.000048926024,0.000005496375,0.000045784323,0.00019316013,0.00016907166,0.017651634,0.0005180676,0.2990588],"study_design_scores_gemma":[0.00016158876,0.000012711536,0.9520477,0.00026455105,0.00010772597,0.000003080142,0.0016044583,0.0001476909,0.000011410112,0.002922212,0.042489454,0.0002273908],"about_ca_topic_score_codex":0.0007440019,"about_ca_topic_score_gemma":0.000009330052,"teacher_disagreement_score":0.2988314,"about_ca_system_score_codex":0.00014810987,"about_ca_system_score_gemma":0.000021648599,"threshold_uncertainty_score":0.81771386},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1593653,0.66799885,0.007771382,0.103642836,0.0087228175,0.01141708,0.0035090966,0.002095885,0.03547675],"genre_scores_gemma":[0.95916975,0.0254733,0.00058511115,0.010124056,0.0031068518,0.00089188723,0.0004643965,0.0001110542,0.00007357335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732107,0.000028625185,0.00091337186,0.00079068495,0.0003303962,0.00061587326],"domain_scores_gemma":[0.9970301,0.00046829428,0.0007574725,0.0007283567,0.0009670585,0.000048768114],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003230168,0.0004820974,0.0013281909,0.00026765972,0.000096145304,0.00048628042,0.00068274245,0.00011649321,0.00030715467],"category_scores_gemma":[0.0015946571,0.00035973752,0.00039122623,0.0013340734,0.00048171787,0.0004805344,0.0010727253,0.0004962157,0.00028685265],"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":[0.00006184428,0.00019751777,0.0058766943,0.1610878,0.00059202727,0.00005777099,0.000047787722,0.000079023055,0.00017338624,0.72028625,0.02112924,0.09041069],"study_design_scores_gemma":[0.00030999968,0.000044829692,0.03315077,0.23732756,0.0043469444,0.00000800162,0.00072075776,0.0008930655,0.000058415902,0.57492495,0.14593506,0.0022796672],"about_ca_topic_score_codex":0.010522446,"about_ca_topic_score_gemma":0.000047265734,"teacher_disagreement_score":0.79980445,"about_ca_system_score_codex":0.00007541964,"about_ca_system_score_gemma":0.00046668315,"threshold_uncertainty_score":0.99988544},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035905147,0.019413644,0.89771783,0.0625236,0.00071041763,0.00073215953,0.000002043934,0.00026753763,0.015042248],"genre_scores_gemma":[0.44829804,0.09573207,0.40481794,0.049134117,0.00024862832,0.0006696981,0.000017654853,0.00006887842,0.0010129883],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99810594,0.0003071788,0.0006178928,0.00040645676,0.00016233265,0.0004001685],"domain_scores_gemma":[0.9982825,0.00057288946,0.00024327438,0.0006454971,0.00022385301,0.000032019117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015620277,0.0001393888,0.00033915573,0.00026711076,0.000118356875,0.00010618258,0.0008874788,0.000014691585,0.0000788782],"category_scores_gemma":[0.001005785,0.00013753527,0.000055941437,0.0060537397,0.00006676993,0.00040875375,0.00060597825,0.00016310666,0.00008797184],"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":[0.0000051918573,0.000031210053,0.00062021666,0.0005007195,0.0000063678185,0.000009792446,0.000031494532,0.000019395164,0.00009834931,0.01796898,0.0005280228,0.98018026],"study_design_scores_gemma":[0.00014281091,0.000060647155,0.10728811,0.04279117,0.00010305193,0.00008400463,0.0010407938,0.041401733,0.000998332,0.01608458,0.7885025,0.0015022649],"about_ca_topic_score_codex":0.0005590503,"about_ca_topic_score_gemma":0.00037766132,"teacher_disagreement_score":0.978678,"about_ca_system_score_codex":0.00009143435,"about_ca_system_score_gemma":0.0002464424,"threshold_uncertainty_score":0.5608525},"labels":[],"label_agreement":null}]}