{"id":"W2018342471","doi":"10.1503/cmaj.1040627","title":"Words of truth","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point (geometry); Computer science; Balance (ability); Ursus; Core (optical fiber); Medicine; Telecommunications","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":[0.01194061,0.001233492,0.001970398,0.001788189,0.005803027,0.00914186,0.003153099,0.0120133,0.02517434],"category_scores_gemma":[0.1408955,0.0004306542,0.0009720521,0.001718224,0.01136685,0.01243247,0.004361175,0.03744048,0.02166218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005109733,"about_ca_system_score_gemma":0.007481176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005173549,"about_ca_topic_score_gemma":0.004964562,"domain_scores_codex":[0.9860871,0.004427515,0.00118354,0.001463506,0.005874884,0.0009635397],"domain_scores_gemma":[0.9295053,0.03015804,0.004950987,0.003284096,0.02767691,0.004424564],"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":[0.00002625431,0.000006167432,0.00006518634,0.0001062153,0.000009438173,0.0001583292,0.0006859991,0.00002925607,0.00003866677,0.01326886,0.9785967,0.007009035],"study_design_scores_gemma":[0.000006548133,0.00001184931,0.00009181068,0.0007359463,0.00000760109,0.0005949565,0.001307857,0.00006703491,0.00005931317,0.01496005,0.9821336,0.00002356091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001439429,0.006637895,0.0005999501,0.8930699,0.09169759,0.00001235548,0.00008870244,0.00006876609,0.007680933],"genre_scores_gemma":[0.00621669,0.00475145,0.0007360639,0.9198778,0.04929455,0.00005129792,0.00008680527,0.0001058587,0.01887939],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02517434,"threshold_uncertainty_score":0.08421659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407966704178486,"score_gpt":0.3893286458653374,"score_spread":0.3485319754474888,"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."}}