{"meta":{"query_hash":"4085b5a5d643","filters":{"venue":"Journal of Commerce & Behavioural Science"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/4085b5a5d643","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Commerce+%26+Behavioural+Science"},"results":[{"id":"W2123262255","doi":"","title":"Emerging Role of Securitization in Structured Financing","year":2012,"lang":"en","type":"article","venue":"Journal of Commerce & Behavioural Science","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":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Securitization; Business; Finance; Lease; Swap (finance); Trade finance; Payment; Cash; Lien; Financial system; Economics; Public finance","score_opus":0.022254521069953116,"score_gpt":0.25897209265741733,"score_spread":0.2367175715874642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123262255","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":[0.5898251,0.04490395,0.052308638,0.08897906,0.00039688466,0.00008129073,0.0003840303,0.00014333313,0.22297771],"genre_scores_gemma":[0.98717624,0.006098476,0.001736759,0.00070228573,0.00044063205,0.00002073445,0.000062346924,0.0000132073865,0.0037494015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988539,0.000399847,0.000057412974,0.00025895226,0.00026054133,0.0001693221],"domain_scores_gemma":[0.9883066,0.0064141243,0.0024049513,0.000961893,0.0012010288,0.00071136147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039460724,0.00018891288,0.00043067677,0.00088461774,0.0005658983,0.004310812,0.0006376119,0.0017236237,0.0065981057],"category_scores_gemma":[0.012904161,0.00021624405,0.00034386027,0.0010799478,0.0071291504,0.005653584,0.0014796335,0.0024287167,0.0004393566],"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":[0.00003101996,0.000026220687,0.005513866,0.00005031758,0.000008298709,0.0000993385,0.00037254373,0.0014968,0.00019668612,0.9665332,0.0018400265,0.023831591],"study_design_scores_gemma":[0.000024455854,0.000031247553,0.0100528095,0.00015037997,0.0000073066967,0.00011841918,0.00032371658,0.006214935,0.00027015345,0.9628231,0.019967314,0.000016086287],"about_ca_topic_score_codex":0.0015167292,"about_ca_topic_score_gemma":0.0008527271,"teacher_disagreement_score":0.0065981057,"about_ca_system_score_codex":0.003112859,"about_ca_system_score_gemma":0.0013726929,"threshold_uncertainty_score":0.022585452},"labels":[],"label_agreement":null},{"id":"W2911441664","doi":"","title":"CURRENT MERGERS SCENARIO IN INDIAN BANKING SECTOR","year":2018,"lang":"en","type":"article","venue":"Journal of Commerce & Behavioural Science","topic":"Innovations and Analysis in Business and Education","field":"Decision Sciences","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":"Competition (biology); Quarter (Canadian coin); State (computer science); National bank; Business; Financial system; Bank rate; Chinese financial system; Economics; Finance; Central bank; Monetary policy; Political science; Geography; Monetary economics","score_opus":0.17657162564853116,"score_gpt":0.4356885130884844,"score_spread":0.2591168874399532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911441664","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":[0.6385631,0.011952299,0.0037675218,0.12791574,0.0008427432,0.0002132015,0.001247316,0.0003540002,0.21514405],"genre_scores_gemma":[0.95826364,0.008758532,0.0012296275,0.010633622,0.0004969325,0.00007444893,0.00064516725,0.0000402183,0.01985785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971355,0.00055468804,0.00017221922,0.00031200697,0.0008241766,0.0010013259],"domain_scores_gemma":[0.9964784,0.00039032585,0.0010352997,0.00014469471,0.00077871024,0.0011726874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015937317,0.00031284062,0.0002457347,0.0012823573,0.004305774,0.006866327,0.00096759514,0.002427041,0.010998368],"category_scores_gemma":[0.0026012324,0.0002928796,0.00037685805,0.0028039957,0.0021648183,0.004493919,0.0023987952,0.0024599547,0.0024978218],"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":[0.00095636235,0.00077052636,0.2028308,0.000734509,0.00008125367,0.022928348,0.01724137,0.0031089608,0.006133016,0.4427446,0.15962544,0.14284478],"study_design_scores_gemma":[0.000115948154,0.0004492027,0.18276109,0.00094994955,0.00010953322,0.031570528,0.08226236,0.006225043,0.003991378,0.098998755,0.59220254,0.0003636613],"about_ca_topic_score_codex":0.009489558,"about_ca_topic_score_gemma":0.012140249,"teacher_disagreement_score":0.010998368,"about_ca_system_score_codex":0.0038796733,"about_ca_system_score_gemma":0.00421881,"threshold_uncertainty_score":0.036793232},"labels":[],"label_agreement":null}]}