{"id":"W1572171625","doi":"","title":"Waiting time for medical specialist consultations in Canada, 2007.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Referral; Medicine; Logistic regression; Family medicine; Specialist care; Multivariate analysis; Triage; Primary care; Medical emergency","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003416178,0.0001848043,0.0002553507,0.0007056167,0.001747906,0.0007429202,0.0006941077,0.0003882808,0.003103005],"category_scores_gemma":[0.002495143,0.0001774444,0.0003180999,0.001792851,0.0003436173,0.00022843,0.0004436213,0.0007001935,0.0002253641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03357649,"about_ca_system_score_gemma":0.03456559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991188,"about_ca_topic_score_gemma":0.9955355,"domain_scores_codex":[0.9992725,0.00002778046,0.00004879371,0.00008004882,0.0002915292,0.0002793051],"domain_scores_gemma":[0.9979746,0.0001219497,0.0004340459,0.00001747719,0.0006597186,0.0007923542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003190532,0.00006792379,0.9418333,0.0002983353,0.0000605414,0.0005026524,0.001402414,0.0003269883,0.0002852649,0.0002756234,0.0236359,0.03099196],"study_design_scores_gemma":[0.00001814219,0.00003285116,0.9951046,0.00005909082,0.0000240199,0.0001974415,0.0009476332,0.0003691814,0.00007412993,0.00003104178,0.003127102,0.00001489243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643905,0.003669556,0.0001802371,0.003344604,0.0001006751,0.00007917395,0.02142088,0.00004877356,0.006765523],"genre_scores_gemma":[0.9919885,0.0009206743,0.0002325654,0.0004444351,0.00002468682,0.00001983644,0.004375307,0.000008173296,0.001985701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03357649,"threshold_uncertainty_score":0.2436156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423679729918029,"score_gpt":0.2185041864747254,"score_spread":0.2042673891755451,"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."}}