{"meta":{"query_hash":"7c1b3757ece8","filters":{"venue":"Business and Economic Research"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/7c1b3757ece8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Business+and+Economic+Research"},"results":[{"id":"W2474466540","doi":"10.5296/ber.v6i2.9488","title":"Determinants of Baseball Success: An Econometric Approach","year":2016,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Salary; Robustness (evolution); Macro; Descriptive statistics; Macro level; Econometrics; Statistics; Economics; Computer science; Marketing; Business; Mathematics","score_opus":0.14186587101955453,"score_gpt":0.3250035921094619,"score_spread":0.18313772108990736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474466540","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":[0.9421909,0.0017915772,0.036668763,0.0029644659,0.00014220484,0.00028886297,0.0041001732,0.00022992177,0.011623212],"genre_scores_gemma":[0.9864464,0.00085960346,0.0031616003,0.00019850832,0.00017416003,0.00012043919,0.0017687323,0.000016421714,0.0072541465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810934,0.0009755606,0.00007843638,0.00019052817,0.00028064166,0.0003654373],"domain_scores_gemma":[0.99275875,0.005197193,0.0010619826,0.00027055244,0.00026302936,0.00044841904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004108302,0.0005434414,0.0009676795,0.0024802913,0.0006020884,0.0025162892,0.0014657087,0.0013274292,0.012028967],"category_scores_gemma":[0.008484625,0.00047474564,0.001460075,0.0037218449,0.0010118112,0.0010882993,0.0017071188,0.002415844,0.0018395064],"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":[0.0003030157,0.0007971756,0.8416105,0.00021868717,0.0012950492,0.00092432246,0.0008668222,0.08208099,0.0005711492,0.03246895,0.005397521,0.033465832],"study_design_scores_gemma":[0.00012558236,0.0011168116,0.58415276,0.0001656856,0.00080653164,0.0003029141,0.006562483,0.3728277,0.0006346522,0.019858208,0.013330221,0.00011651192],"about_ca_topic_score_codex":0.02996245,"about_ca_topic_score_gemma":0.012177452,"teacher_disagreement_score":0.02996245,"about_ca_system_score_codex":0.0012142968,"about_ca_system_score_gemma":0.0012599378,"threshold_uncertainty_score":0.059576094},"labels":[],"label_agreement":null},{"id":"W2511838043","doi":"10.5296/ber.v6i2.9865","title":"Scale Development and Operationalization of Social Responsibility Constructs: An ISO 26000 Context","year":2016,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centennial College","funders":"","keywords":"Operationalization; Social responsibility; Scale (ratio); Mainland China; Corporate social responsibility; Context (archaeology); Business; Accounting; China; Public relations; Political science; Geography","score_opus":0.04884139984481565,"score_gpt":0.3052331608245235,"score_spread":0.25639176097970784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511838043","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6691051,0.0006636371,0.25232556,0.0018144025,0.0002605639,0.012655972,0.0014759268,0.00040287495,0.06129596],"genre_scores_gemma":[0.6830672,0.00045099284,0.29885393,0.00017613854,0.0000428597,0.012568435,0.0019677144,0.00012015808,0.002752557],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97800726,0.010448877,0.0030537085,0.0007455034,0.00722359,0.0005212057],"domain_scores_gemma":[0.95356643,0.01903944,0.0031656292,0.0027744342,0.020466322,0.0009877532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028072426,0.00068180985,0.0004407058,0.0043887324,0.0011898029,0.002030295,0.0013818167,0.00058211084,0.002138016],"category_scores_gemma":[0.060659632,0.00031371575,0.00094751065,0.0048344545,0.0026632473,0.0023107864,0.002820969,0.0013891198,0.0004389522],"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":[0.00038697044,0.0017846073,0.23139939,0.0020767695,0.00016497736,0.00069418864,0.04680521,0.00635914,0.015037854,0.11165331,0.0117625315,0.57187504],"study_design_scores_gemma":[0.00023951588,0.0038915863,0.60103196,0.0027215912,0.00020861899,0.0011452487,0.090759054,0.03558187,0.015976408,0.07442281,0.17366433,0.0003570267],"about_ca_topic_score_codex":0.0033319248,"about_ca_topic_score_gemma":0.0043455227,"teacher_disagreement_score":0.028072426,"about_ca_system_score_codex":0.00283114,"about_ca_system_score_gemma":0.0088574,"threshold_uncertainty_score":0.14846301},"labels":[],"label_agreement":null},{"id":"W2883016091","doi":"10.5296/ber.v8i3.13421","title":"Analysis of the Profile of non-profit Organizations Receiving Funding by a Microfinance Institution: the Case of Burundi","year":2018,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Microfinance; Institution; Business; Non profit; Financial institution; Not for profit; Profit (economics); Finance; Accounting; Economic growth; Business administration; Economics; Political science","score_opus":0.05892722246803114,"score_gpt":0.31432211841370866,"score_spread":0.25539489594567755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883016091","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":[0.99845934,0.00012412736,0.00009751708,0.00011650793,9.3726266e-7,0.000005385756,0.000053609263,0.0000010484548,0.0011414648],"genre_scores_gemma":[0.99895155,0.00012273446,0.00014450814,0.000016432214,0.000001929656,0.0000068616105,0.000117875534,0.0000014461913,0.00063675985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946445,0.0001204259,0.000023279617,0.00005950115,0.00008662718,0.0002457553],"domain_scores_gemma":[0.99799335,0.0004965381,0.0008551007,0.000059948583,0.00027892654,0.00031598983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056335574,0.0001553438,0.00023585433,0.0022850991,0.0011998472,0.0012887378,0.00051538134,0.00058178743,0.0022521752],"category_scores_gemma":[0.0023552622,0.00011600105,0.000116428375,0.0028419544,0.000538308,0.00091862807,0.000954845,0.00034524003,0.0003125121],"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":[0.00016203537,0.00015997604,0.9440308,0.000056335815,0.000027203667,0.0046140132,0.01230613,0.0009921594,0.0010365889,0.00529943,0.001138024,0.030177213],"study_design_scores_gemma":[0.000006684214,0.00008143676,0.9386125,0.00006737799,0.000016945212,0.0016943841,0.0489428,0.003266835,0.00033471195,0.00096726394,0.0059909765,0.000017956867],"about_ca_topic_score_codex":0.03948167,"about_ca_topic_score_gemma":0.049388085,"teacher_disagreement_score":0.03948167,"about_ca_system_score_codex":0.0018534599,"about_ca_system_score_gemma":0.0009246881,"threshold_uncertainty_score":0.07850373},"labels":[],"label_agreement":null},{"id":"W3106549497","doi":"10.5296/ber.v10i4.18024","title":"Prepare for the Worst - Using Facility Location to Alleviate Product Recall Risks","year":2020,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Product (mathematics); Recall; Supply chain; Facility location problem; Computer science; Business; Risk analysis (engineering); Operations research; Operations management; Environmental economics; Marketing; Economics; Engineering; Psychology; Mathematics","score_opus":0.2773667362101103,"score_gpt":0.38253934747919294,"score_spread":0.10517261126908262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106549497","genre_codex":"methods","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":[0.10357697,0.00036849518,0.880137,0.0032837102,0.00015472123,0.00024604797,0.0001804553,0.00095970393,0.011092854],"genre_scores_gemma":[0.8956461,0.0002207092,0.101799846,0.00014976063,0.00004189569,0.00008022824,0.000069043366,0.000047233112,0.0019451978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983354,0.00085447,0.000052348423,0.00024950705,0.00025971016,0.0002485869],"domain_scores_gemma":[0.9974112,0.0007466766,0.0008217811,0.00040263074,0.00042447148,0.00019329287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023325246,0.00084490154,0.00047512888,0.00097154564,0.0008718561,0.0017508675,0.001806099,0.0017420738,0.0040526497],"category_scores_gemma":[0.007664467,0.0003678253,0.0005209806,0.0006738057,0.0007738176,0.0031610527,0.002012602,0.0011520595,0.0007129728],"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":[0.00038115593,0.00023641266,0.009976434,0.00023754968,0.00011884799,0.0006101377,0.0006060796,0.74194235,0.011317962,0.07163702,0.0056117624,0.15732422],"study_design_scores_gemma":[0.00011672176,0.0011069448,0.007293052,0.00019742656,0.0001442387,0.0006717758,0.002907225,0.855901,0.013002139,0.08874228,0.029752737,0.00016446771],"about_ca_topic_score_codex":0.0029958738,"about_ca_topic_score_gemma":0.0035650134,"teacher_disagreement_score":0.0040526497,"about_ca_system_score_codex":0.0011973743,"about_ca_system_score_gemma":0.0024586678,"threshold_uncertainty_score":0.013557434},"labels":[],"label_agreement":null},{"id":"W3131715165","doi":"10.5296/ber.v11i1.18138","title":"Value Chain Production Association for Pink Pepper Bananas: Research in Yen Lac District, Vinh Phuc Province, Vietnam","year":2021,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Pepper; Context (archaeology); Production (economics); Agriculture; Value (mathematics); Agricultural science; Vietnamese; Business; Horticulture; Geography; Biology; Economics; Mathematics","score_opus":0.11920544318549184,"score_gpt":0.34849526301935374,"score_spread":0.2292898198338619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131715165","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":[0.97971946,0.0008042567,0.0006680242,0.00036478968,0.000014211686,0.000106536936,0.00038346587,0.000006749691,0.0179324],"genre_scores_gemma":[0.99305564,0.00073198846,0.000521443,0.000023975834,0.0000041966864,0.000028413879,0.00025906003,0.0000031923785,0.005372148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944574,0.00016279513,0.000021304928,0.00011770844,0.00008893315,0.0001635068],"domain_scores_gemma":[0.9985428,0.00029255686,0.000306414,0.000056156612,0.00049175305,0.0003104315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080048054,0.0002277528,0.00015492814,0.0011631896,0.0015540014,0.0018175747,0.00046248914,0.00018749363,0.006788935],"category_scores_gemma":[0.0012334619,0.00019663923,0.00020903989,0.0026307404,0.00064034906,0.0012662888,0.00075078214,0.00034654388,0.00037755494],"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":[0.00031383414,0.0006646927,0.8359575,0.0010114973,0.00009328784,0.0037640475,0.04660649,0.0012455188,0.0051769186,0.012048668,0.0024679578,0.09064962],"study_design_scores_gemma":[0.00001736256,0.00036697468,0.7799652,0.00064346934,0.00008874361,0.0006731203,0.16590025,0.0028986528,0.0025431497,0.0015892761,0.04528377,0.000029931909],"about_ca_topic_score_codex":0.12788646,"about_ca_topic_score_gemma":0.15016206,"teacher_disagreement_score":0.12788646,"about_ca_system_score_codex":0.0056454167,"about_ca_system_score_gemma":0.0041816025,"threshold_uncertainty_score":0.2542842},"labels":[],"label_agreement":null},{"id":"W4297908247","doi":"10.5296/ber.v12i4.19971","title":"Cloud Manufacturing with Fuzzy Inference System: A Supply Chain Approach to Post COVID-19 Economy","year":2022,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of Prince Edward Island","funders":"Jacobs University; Sharif University of Technology","keywords":"Cloud computing; Supply chain; Flexibility (engineering); Context (archaeology); Cloud manufacturing; Fuzzy logic; Computer science; Reliability (semiconductor); Inference; Risk analysis (engineering); Business; Economics; Artificial intelligence; Marketing","score_opus":0.055865030951709214,"score_gpt":0.27906838177563914,"score_spread":0.22320335082392992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297908247","genre_codex":"methods","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":[0.045712616,0.00043693578,0.941406,0.00074983126,0.00007423024,0.000107545755,0.00014233917,0.00018611575,0.011184345],"genre_scores_gemma":[0.88565415,0.00043615824,0.11021428,0.0001070967,0.000048780865,0.00009453523,0.00007965608,0.000020535444,0.0033448085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996357,0.00014279761,0.000019473373,0.00007923423,0.00007506915,0.000047744525],"domain_scores_gemma":[0.99944156,0.00031929885,0.00006536737,0.00002719857,0.000112101116,0.000034366352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007428554,0.00047789575,0.00058366806,0.000671077,0.0009603817,0.0014310387,0.0012768875,0.0012904899,0.0027588948],"category_scores_gemma":[0.0013932468,0.00032574718,0.00082627067,0.00075686513,0.0007328567,0.0010721888,0.0009003012,0.0010887199,0.00023607841],"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":[0.000031013456,0.000034828423,0.0005407097,0.000031698666,0.000027872704,0.0001229275,0.000066612054,0.9690899,0.0005623352,0.021154607,0.00023700316,0.008100531],"study_design_scores_gemma":[0.000004001425,0.000015558819,0.000087331966,0.000005491659,0.0000072441667,0.00000982672,0.000021949152,0.9929391,0.00014579884,0.006460715,0.0002978929,0.0000050167487],"about_ca_topic_score_codex":0.024681155,"about_ca_topic_score_gemma":0.017511772,"teacher_disagreement_score":0.024681155,"about_ca_system_score_codex":0.0020037233,"about_ca_system_score_gemma":0.0017159162,"threshold_uncertainty_score":0.049075007},"labels":[],"label_agreement":null},{"id":"W4405218897","doi":"10.5296/ber.v14i4.22459","title":"Experiences in Managing Public Assets of Public Higher Education Institutions in Some Countries in the World and Lessons Learned for Vietnam","year":2024,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Transparency (behavior); Context (archaeology); Asset management; Public institution; Government (linguistics); Accountability; Asset (computer security); Public value; Finance; Public relations; Political science","score_opus":0.2795773172782248,"score_gpt":0.45728853008151643,"score_spread":0.1777112128032916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405218897","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":[0.97994894,0.00054209365,0.00036676603,0.003633036,0.00003989331,0.00003598576,0.0000357525,0.000009085393,0.015388496],"genre_scores_gemma":[0.98994803,0.00081858976,0.00041046873,0.00047372116,0.000011791081,0.000011803705,0.000023737843,0.000009862251,0.008291985],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983553,0.0006942632,0.000043030504,0.000072789495,0.00011606176,0.0007184874],"domain_scores_gemma":[0.99781007,0.00031319977,0.00018176399,0.000069423586,0.0002545976,0.00137099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017694487,0.0002610748,0.0002363464,0.0005527017,0.008650669,0.0033002337,0.0008633701,0.00082589756,0.0045314315],"category_scores_gemma":[0.0017525078,0.00024047935,0.00019652078,0.0012421345,0.0037491429,0.0025823063,0.0036408582,0.001551762,0.0003504538],"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":[0.00005434557,0.0004579537,0.040751524,0.00029008902,0.000013544722,0.004563715,0.89007616,0.00041921416,0.0013336919,0.008446365,0.006704098,0.04688938],"study_design_scores_gemma":[0.0000033226468,0.00010674109,0.010863882,0.0001154435,0.0000042152833,0.0004827533,0.9429812,0.000120756195,0.00034549306,0.00039752052,0.044564124,0.000014448757],"about_ca_topic_score_codex":0.04482312,"about_ca_topic_score_gemma":0.12130276,"teacher_disagreement_score":0.04482312,"about_ca_system_score_codex":0.0061487798,"about_ca_system_score_gemma":0.0059784683,"threshold_uncertainty_score":0.08912444},"labels":[],"label_agreement":null},{"id":"W4408393902","doi":"10.5296/ber.v15i2.22598","title":"Are Agency Managers Driving Waqf-Takaful Death Compensation Product Success?","year":2025,"lang":"en","type":"article","venue":"Business and Economic Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","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":"Quest University Canada","funders":"","keywords":"Waqf; Agency (philosophy); Compensation (psychology); Business; Product (mathematics); Accounting; Actuarial science; Islam; Mathematics; Geography; Psychology; Sociology","score_opus":0.05728388636351919,"score_gpt":0.31019109822295055,"score_spread":0.2529072118594313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408393902","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":[0.9821113,0.0018216692,0.00020174474,0.0061425897,0.000092232374,0.00003608343,0.000067637084,0.000010482647,0.009516229],"genre_scores_gemma":[0.9963644,0.0008483808,0.0001739874,0.00047851395,0.000032649386,0.000013852678,0.000029848796,0.0000038402036,0.0020546056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99623126,0.0012322118,0.00019175625,0.00024813306,0.0009690817,0.0011275398],"domain_scores_gemma":[0.9800014,0.004116232,0.008750753,0.0003187835,0.0024673177,0.004345508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044831145,0.0002650905,0.00024509078,0.0009828686,0.0020688314,0.0047799703,0.0005824452,0.0010806147,0.008219763],"category_scores_gemma":[0.016652089,0.0003202989,0.00028473395,0.000801917,0.0014603261,0.0022836362,0.0013606125,0.0016726977,0.001125492],"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":[0.00016041631,0.0004473097,0.8905035,0.00029907984,0.00005663494,0.00090537,0.03467303,0.00007395243,0.00036803834,0.002213858,0.008312726,0.06198612],"study_design_scores_gemma":[0.000016927695,0.0002992099,0.7498369,0.00061801216,0.000078386416,0.0009389874,0.21553594,0.00043486105,0.00047186262,0.00075244537,0.030947367,0.00006902012],"about_ca_topic_score_codex":0.010522393,"about_ca_topic_score_gemma":0.016424172,"teacher_disagreement_score":0.010522393,"about_ca_system_score_codex":0.0018990149,"about_ca_system_score_gemma":0.004128297,"threshold_uncertainty_score":0.027497828},"labels":[],"label_agreement":null}]}