{"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09218878,0.004127964,0.57163817,0.0009345075,0.0021174566,0.00118755,0.063945256,0.20264639,0.061214004],"genre_scores_gemma":[0.30081445,0.0011685413,0.4802071,0.00077849306,0.0002526268,0.0007616536,0.17656629,0.0018225732,0.037628185],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910456,0.0000624702,0.000073731404,0.00034893595,0.00031216547,0.0000981379],"domain_scores_gemma":[0.99937755,0.00005467077,0.000049217706,0.00026162632,0.00020047766,0.000056451736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045696273,0.0014196127,0.00092083233,0.0023012923,0.00038547555,0.0016853719,0.0021501705,0.0011870345,0.014502441],"category_scores_gemma":[0.001690615,0.0003112407,0.0010978924,0.0021925545,0.00034867905,0.0022421489,0.0017042268,0.0010629061,0.015943771],"study_design_candidate":"bench_or_experimental","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":[0.0007592337,0.00033350624,0.0030297996,0.00061187346,0.00016875425,0.0006656446,0.000104369996,0.02343147,0.029528216,0.0045995275,0.09689993,0.83986765],"study_design_scores_gemma":[0.00007118921,0.00038069335,0.0060855458,0.00011176109,0.000060244773,0.0018141404,0.00015013992,0.72926724,0.08677861,0.008133918,0.16704987,0.00009671424],"about_ca_topic_score_codex":0.004207621,"about_ca_topic_score_gemma":0.0062629036,"teacher_disagreement_score":0.014502441,"about_ca_system_score_codex":0.00081485446,"about_ca_system_score_gemma":0.0005644261,"threshold_uncertainty_score":0.0485155},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5290977,0.010942982,0.42376572,0.0033308023,0.0008086192,0.00049603655,0.016610056,0.0056856857,0.009262372],"genre_scores_gemma":[0.938963,0.0015470128,0.048091132,0.0002727384,0.00037016586,0.00015285441,0.00891353,0.000044342338,0.001645322],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991392,0.0002352786,0.000109644825,0.00022765437,0.00019141736,0.00009675254],"domain_scores_gemma":[0.99682105,0.0018036078,0.00040545838,0.00017451074,0.0006365132,0.00015898435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015373806,0.00085354,0.00093233166,0.003506513,0.0002938686,0.00123754,0.00078454625,0.0009999003,0.0016614082],"category_scores_gemma":[0.0063541676,0.00025826533,0.0011120829,0.0015640424,0.00020785654,0.00073323946,0.0005207103,0.0011015817,0.0012550266],"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":[0.0006235215,0.000943546,0.30193582,0.00036123345,0.00059795874,0.00067610596,0.00008404859,0.27721083,0.0015593674,0.0014457105,0.015941763,0.39862004],"study_design_scores_gemma":[0.000019751351,0.00012839898,0.018647855,0.00005636497,0.00005329301,0.00021091588,0.000028745253,0.9751923,0.00091227173,0.003377075,0.0013496389,0.000023492583],"about_ca_topic_score_codex":0.007960511,"about_ca_topic_score_gemma":0.005773958,"teacher_disagreement_score":0.007960511,"about_ca_system_score_codex":0.0005269598,"about_ca_system_score_gemma":0.00071351614,"threshold_uncertainty_score":0.015828311},"labels":[],"label_agreement":null}]}