{"id":"W2996985347","doi":"10.1017/s0266462319002046","title":"PP44 Optimal Use Of Warfarin: Self-Monitoring From A Quebec Perspective","year":2019,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Warfarin; Medicine; Experiential knowledge; Experiential learning; Perspective (graphical); Work (physics); Intensive care medicine; Medical emergency; Psychology; Atrial fibrillation; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.006574266,0.0003504456,0.0004412277,0.002135088,0.003570397,0.004432524,0.001632305,0.001646351,0.009073738],"category_scores_gemma":[0.018283,0.0001865135,0.0006255831,0.003114996,0.002444477,0.001707467,0.001505264,0.001693681,0.0004050228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07499556,"about_ca_system_score_gemma":0.1634061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829597,"about_ca_topic_score_gemma":0.990061,"domain_scores_codex":[0.9947861,0.002523018,0.0003743203,0.0002295976,0.001523954,0.0005629614],"domain_scores_gemma":[0.9760019,0.006217957,0.001544411,0.0003550583,0.01257935,0.003301373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001727194,0.0003044563,0.1059349,0.008414224,0.0002799961,0.001134915,0.02611927,0.001947137,0.001026845,0.03895149,0.3681524,0.4475617],"study_design_scores_gemma":[0.0001003472,0.0002847421,0.2075358,0.02483059,0.0004608429,0.0006241772,0.03292353,0.002362791,0.0006254267,0.005172262,0.7248135,0.0002660289],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1059599,0.1697886,0.006101776,0.5589603,0.001999311,0.0006522072,0.006299668,0.0002282911,0.1500099],"genre_scores_gemma":[0.8332,0.08545883,0.01487871,0.04267797,0.0005233857,0.000449156,0.001840618,0.00006247136,0.02090895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07499556,"threshold_uncertainty_score":0.5441334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04084242967831216,"score_gpt":0.4182671840237122,"score_spread":0.3774247543454,"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."}}