{"id":"W4248000657","doi":"10.22374/cjgim.v7i4.129","title":"Patient Profiling","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of General Internal Medicine","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Profiling (computer programming); Intensive care medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006860259,0.0005475523,0.0006094609,0.002281553,0.001870518,0.003186404,0.001341454,0.001815261,0.1171751],"category_scores_gemma":[0.04690941,0.0003350842,0.0005865848,0.002194844,0.0004769682,0.002517962,0.004226947,0.002232292,0.04933135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00226168,"about_ca_system_score_gemma":0.005423406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782224,"about_ca_topic_score_gemma":0.002623897,"domain_scores_codex":[0.9927099,0.003369623,0.001162587,0.0009773457,0.001211261,0.0005692994],"domain_scores_gemma":[0.9777243,0.006859426,0.001960169,0.003139944,0.007191548,0.003124636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000207504,0.00008487075,0.01432428,0.0003427641,0.00002296604,0.0004406441,0.001698187,0.0001493802,0.0002753578,0.00947819,0.6979927,0.2749832],"study_design_scores_gemma":[0.00003876088,0.00007629964,0.00599984,0.0006341096,0.00001907986,0.001634564,0.001170887,0.0003158216,0.0003324574,0.004805522,0.9849333,0.00003940365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03079742,0.01106059,0.06823821,0.1519478,0.009349894,0.006448526,0.04517596,0.006844813,0.6701367],"genre_scores_gemma":[0.3263349,0.02175751,0.1072538,0.1293318,0.006859228,0.01040203,0.0382082,0.002706724,0.3571459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1171751,"threshold_uncertainty_score":0.3919898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1610206795481054,"score_gpt":0.4624802827362806,"score_spread":0.3014596031881751,"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."}}