{"id":"W4238475015","doi":"10.1503/cmaj.109-3341","title":"Loaded expectations","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Transformation (genetics); Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.009792555,0.001026551,0.0006339215,0.001996428,0.007867616,0.01431136,0.003036248,0.003728674,0.09978718],"category_scores_gemma":[0.04386241,0.0005317359,0.0008900558,0.001315947,0.005521219,0.007266997,0.008832319,0.00753506,0.04378238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01799753,"about_ca_system_score_gemma":0.02129529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04328938,"about_ca_topic_score_gemma":0.04029479,"domain_scores_codex":[0.9806225,0.003579421,0.0006908069,0.001160051,0.01037245,0.00357475],"domain_scores_gemma":[0.9623811,0.003071242,0.001592251,0.001962211,0.01568653,0.01530664],"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":[0.000209031,0.0003120216,0.01356392,0.0002662588,0.00003737084,0.0013971,0.02298605,0.0007020555,0.0012307,0.332734,0.535896,0.09066554],"study_design_scores_gemma":[0.00003674473,0.0001066975,0.006019757,0.00044165,0.00001875812,0.0006665561,0.01579654,0.0005394519,0.0005315455,0.08170663,0.8940028,0.0001328328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01560376,0.0007942535,0.008922428,0.08516931,0.002617254,0.0002535057,0.0009456109,0.0005523714,0.8851415],"genre_scores_gemma":[0.4831344,0.002248313,0.006921761,0.05940286,0.001476294,0.0005766129,0.003113028,0.0009533155,0.4421735],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09978718,"threshold_uncertainty_score":0.3338214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021116603926408,"score_gpt":0.3775785994379382,"score_spread":0.3564619955115302,"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."}}