{"id":"W2296534876","doi":"10.1109/icter.2013.6761203","title":"Medical informatics","year":2013,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Health informatics; Computer science; Informatics; Medical imaging; Data science; Artificial intelligence; Engineering; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004418687,0.0008491853,0.0008522203,0.005231573,0.001498909,0.008180807,0.002152506,0.00264822,0.131108],"category_scores_gemma":[0.01768087,0.0004179635,0.0006625658,0.004555805,0.00148268,0.004017272,0.004011949,0.002325576,0.07818426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809443,"about_ca_system_score_gemma":0.003927391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003329,"about_ca_topic_score_gemma":0.0005393501,"domain_scores_codex":[0.9952878,0.001581965,0.0004776565,0.0006268361,0.001811817,0.0002138054],"domain_scores_gemma":[0.9915364,0.00283323,0.000503636,0.001917819,0.002566651,0.0006423639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008717047,0.00007253033,0.001150809,0.001101814,0.00004672017,0.0002262373,0.0003701171,0.0004875162,0.0006712526,0.1358546,0.4417063,0.418225],"study_design_scores_gemma":[0.00001613188,0.00002533072,0.0004859134,0.0003905092,0.00001173253,0.0003750215,0.0001144973,0.0004844619,0.0003252782,0.03401592,0.9637415,0.00001362326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002609331,0.03180664,0.09583922,0.05314585,0.01098285,0.0009599417,0.01155385,0.005236248,0.7878661],"genre_scores_gemma":[0.10162,0.09991676,0.1820616,0.03830425,0.02133474,0.001749025,0.03612027,0.001572315,0.517321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.131108,"threshold_uncertainty_score":0.4385999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798829524687752,"score_gpt":0.5244987985178574,"score_spread":0.3446158460490822,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}