{"meta":{"query_hash":"7531e1b2f0e4","filters":{"venue":"JIMS8I - International Journal of Information Communication and Computing Technology"},"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/7531e1b2f0e4","api":"https://metacan.xera.ac/api/v1/cohort?venue=JIMS8I+-+International+Journal+of+Information+Communication+and+Computing+Technology"},"results":[{"id":"W2868811703","doi":"10.5958/2347-7202.2018.00002.6","title":"Multi-Character Recognition using EMNIST","year":2018,"lang":"en","type":"article","venue":"JIMS8I - International Journal of Information Communication and Computing Technology","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","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":"Innovation Cluster (Canada)","funders":"","keywords":"Character (mathematics); Character recognition; Computer science; Artificial intelligence; Natural language processing; Pattern recognition (psychology); Psychology; Mathematics; Geometry","score_opus":0.029125900910250826,"score_gpt":0.30924534650680824,"score_spread":0.28011944559655744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2868811703","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":[0.07187186,0.00008186317,0.9234001,0.0033566253,0.00040268453,0.00009751693,0.0000033332476,0.00021819874,0.00056783954],"genre_scores_gemma":[0.58052605,0.00010979442,0.4185725,0.000708314,0.00006673066,0.0000014036002,0.000008316388,0.0000036915144,0.0000032253104],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985756,0.000084396,0.0008192654,0.00009642238,0.00029048003,0.00013380729],"domain_scores_gemma":[0.99605656,0.00006337465,0.0010899727,0.00034530842,0.0023920767,0.000052717212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070898863,0.000118542695,0.00016869958,0.0010790771,0.00021230782,0.00032106784,0.0014692522,0.00013974714,0.000021141306],"category_scores_gemma":[0.00026630628,0.00011619819,0.000058644564,0.00037196826,0.00021032046,0.002215215,0.0005928487,0.00032699434,0.00004475886],"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":[0.000026722473,0.0001039948,0.0007299329,0.000009276834,0.00009101548,0.0000032100231,0.0012944225,0.0000063103594,0.0017319227,0.012962916,0.000426375,0.9826139],"study_design_scores_gemma":[0.005265328,0.00094986125,0.0072084805,0.0014839452,0.000064688924,0.0061233942,0.0017745465,0.78221536,0.055754412,0.070877425,0.067156285,0.0011262998],"about_ca_topic_score_codex":0.0000091235315,"about_ca_topic_score_gemma":0.0000021484914,"teacher_disagreement_score":0.9814876,"about_ca_system_score_codex":0.000095255185,"about_ca_system_score_gemma":0.00007495421,"threshold_uncertainty_score":0.47384247},"labels":[],"label_agreement":null},{"id":"W4384210476","doi":"10.5958/2347-7202.2023.00004.x","title":"Heart disease prediction using machine learning","year":2023,"lang":"en","type":"article","venue":"JIMS8I - International Journal of Information Communication and Computing Technology","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forces College","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Disease; Medicine; Internal medicine","score_opus":0.08833279982864652,"score_gpt":0.4556932008833723,"score_spread":0.3673604010547258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384210476","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":[0.9548199,0.0004458583,0.014889968,0.027532231,0.001181428,0.00028797047,0.000017910565,0.000405124,0.0004195782],"genre_scores_gemma":[0.99499506,0.00039650482,0.0034856582,0.00089132646,0.00013287087,0.0000049996574,0.000054537333,0.00000859515,0.000030438538],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803793,0.00026644234,0.0011205558,0.00006782415,0.0003201482,0.00018708862],"domain_scores_gemma":[0.9970718,0.0003293373,0.00097096816,0.00020919577,0.0013319008,0.00008680839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012615937,0.0000910955,0.0001640902,0.0010052461,0.00069136027,0.000034204426,0.000490143,0.0001435785,0.000042368356],"category_scores_gemma":[0.0013764254,0.00008811822,0.000044880617,0.00046934382,0.00010173083,0.00062708743,0.0004204854,0.00093603105,0.00009574111],"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":[0.0002337238,0.00004871278,0.8910435,0.0001175868,0.00009152466,0.0000058010337,0.0065584034,0.014641321,0.00030298685,0.038185775,0.0022447242,0.046525978],"study_design_scores_gemma":[0.0004892581,0.00008915812,0.02444513,0.0007081688,0.000019241243,0.00006362287,0.009232556,0.8977055,0.00007092121,0.012180279,0.054862354,0.0001338054],"about_ca_topic_score_codex":0.00010383084,"about_ca_topic_score_gemma":0.000014173609,"teacher_disagreement_score":0.8830642,"about_ca_system_score_codex":0.00019087036,"about_ca_system_score_gemma":0.0002083436,"threshold_uncertainty_score":0.53174543},"labels":[],"label_agreement":null}]}