{"id":"W2943413462","doi":"","title":"Better Late Than Never – Painting the Big Picture for Learners in Family Medicine","year":2019,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Painting; Computer science; Data science; World Wide Web; Visual arts; Art","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":[0.01388438,0.0005568176,0.0007672255,0.001621811,0.02647331,0.01281143,0.002251689,0.007247426,0.03297235],"category_scores_gemma":[0.04023442,0.0004493743,0.0007134621,0.001465901,0.01619118,0.01376577,0.00777512,0.02009859,0.004139231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03104691,"about_ca_system_score_gemma":0.06947001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4734997,"about_ca_topic_score_gemma":0.7535365,"domain_scores_codex":[0.9924536,0.002080861,0.0001243442,0.0004536541,0.00220419,0.002683336],"domain_scores_gemma":[0.9605855,0.00472612,0.0008996826,0.0007396813,0.009105505,0.02394344],"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":[0.0001795963,0.0001117204,0.005001611,0.0001818534,0.00002974913,0.0002105248,0.01979177,0.00006937783,0.000240892,0.02290516,0.8641883,0.08708955],"study_design_scores_gemma":[0.00007378745,0.0001283603,0.01134319,0.001576338,0.00005547065,0.000279965,0.0579762,0.0001031344,0.000239576,0.02149704,0.9065909,0.0001359318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009708899,0.008870439,0.0003047399,0.9349767,0.01096589,0.00001374448,0.0001208612,0.00006576267,0.03497299],"genre_scores_gemma":[0.3351187,0.01747663,0.002026412,0.5642719,0.01015998,0.00007249975,0.0002363172,0.0004960839,0.07014155],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4734997,"threshold_uncertainty_score":0.9414873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280944645562677,"score_gpt":0.2733619587042131,"score_spread":0.2505525122485863,"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."}}