{"meta":{"query_hash":"06fd609ba973","filters":{"venue":"International Journal of Science Engineering and Management"},"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/06fd609ba973","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Science+Engineering+and+Management"},"results":[{"id":"W4307856048","doi":"10.36647/ijsem/09.10.a013","title":"An Application of Analytical Hierarchy Process to Financial Asset Selection","year":2022,"lang":"en","type":"article","venue":"International Journal of Science Engineering and Management","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","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":"University of Manitoba","funders":"","keywords":"Analytic hierarchy process; Selection (genetic algorithm); Multiple-criteria decision analysis; Stock exchange; Asset (computer security); Rank (graph theory); Ranking (information retrieval); Set (abstract data type); Actuarial science; Computer science; Risk analysis (engineering); Business; Operations research; Finance; Mathematics; Artificial intelligence","score_opus":0.0321935513238142,"score_gpt":0.39788945817242366,"score_spread":0.3656959068486095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307856048","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061109895,0.000563745,0.9891293,0.00041793965,0.00004655289,0.00036523773,0.000062050014,0.00014292661,0.0031612567],"genre_scores_gemma":[0.11996774,0.0006250186,0.8782636,0.000090245914,0.000044094857,0.00035570652,0.00008707608,0.000017453025,0.0005491167],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99237436,0.00413927,0.00037597603,0.00039134655,0.002474565,0.00024448105],"domain_scores_gemma":[0.9950138,0.003445572,0.00029576095,0.00016339702,0.00097348733,0.00010810354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007506675,0.00081528904,0.0012997165,0.0047344007,0.0015641818,0.002389892,0.0013135305,0.0009453106,0.0016293034],"category_scores_gemma":[0.014554634,0.00046641636,0.0013435277,0.005349347,0.0012081249,0.001547377,0.0019167974,0.0013570775,0.00022724002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121957346,0.00029025177,0.00361604,0.001370085,0.00037014758,0.00050481653,0.0028908395,0.31538114,0.0046582385,0.15771602,0.0041869185,0.5088936],"study_design_scores_gemma":[0.000048984846,0.00018930847,0.0010697673,0.00020627757,0.0000655339,0.00011437745,0.0005468927,0.86008334,0.0016875148,0.1277385,0.008183985,0.000065568165],"about_ca_topic_score_codex":0.008149998,"about_ca_topic_score_gemma":0.007511367,"teacher_disagreement_score":0.008149998,"about_ca_system_score_codex":0.0016877378,"about_ca_system_score_gemma":0.003524554,"threshold_uncertainty_score":0.039699554},"labels":[],"label_agreement":null},{"id":"W4312877292","doi":"10.36647/ijsem/09.03.a002","title":"Impact of Coronavirus on Insurance sector in India","year":2022,"lang":"en","type":"article","venue":"International Journal of Science Engineering and Management","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business interruption insurance; Business; Life insurance; Livelihood; Quarter (Canadian coin); Insurance industry; Earnings; Property insurance; Variety (cybernetics); Income protection insurance; General insurance; Economic growth; Finance; Insurance policy; Agriculture; Economics; Actuarial science; Geography","score_opus":0.016951610836679714,"score_gpt":0.24452413062774772,"score_spread":0.22757251979106802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312877292","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":[0.99334407,0.0005898274,0.000035876415,0.0007288045,0.0000099813315,0.0000071346694,0.0002800008,0.000009437499,0.004994804],"genre_scores_gemma":[0.9988739,0.00037681032,0.000022672357,0.000067112385,0.000008673305,0.00000126161,0.00013266868,0.0000013190125,0.0005155153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995053,0.00008588952,0.000021989008,0.000037415655,0.000091042435,0.0002583163],"domain_scores_gemma":[0.99850106,0.00030137625,0.0005487972,0.00006161055,0.0002841048,0.00030304762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023490972,0.00014017797,0.000119602795,0.00096501684,0.00062689494,0.0016641612,0.0002976876,0.00028531224,0.0025769938],"category_scores_gemma":[0.0010283946,0.00009706929,0.00039380958,0.0012111663,0.00049522123,0.00050345436,0.00088613713,0.00049357535,0.00024756332],"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":[0.0001915405,0.00014861512,0.9734604,0.00009718369,0.000044542332,0.002044032,0.0028036789,0.0007159957,0.0015242727,0.001993615,0.0021657571,0.014810394],"study_design_scores_gemma":[0.0000032829596,0.000073281524,0.9881528,0.000039453473,0.000024333602,0.0006434062,0.0070809857,0.00044999548,0.0003562182,0.00031702316,0.0028491667,0.000010066619],"about_ca_topic_score_codex":0.05053809,"about_ca_topic_score_gemma":0.039503474,"teacher_disagreement_score":0.05053809,"about_ca_system_score_codex":0.0015204541,"about_ca_system_score_gemma":0.0015828641,"threshold_uncertainty_score":0.10048783},"labels":[],"label_agreement":null}]}