{"id":"W2144587632","doi":"10.12927/hcq.2009.20744","title":"The Times They Are A-Changing: What Worked and What We Learned in Deploying Ontario's Wait Time Information System","year":2009,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario","keywords":"Action (physics); Public relations; Health care; Work (physics); Best practice; Call to action; Medicine; Medical emergency; Nursing; Business; Political science; Marketing; Engineering; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001242985,0.0002023409,0.0003941584,0.0004127318,0.0003958762,0.001198811,0.0001938438,0.000149893,0.00001654251],"category_scores_gemma":[0.00002030089,0.0001891933,0.00006362538,0.0002517208,0.00002226219,0.003028425,0.00002233197,0.0003037826,0.0003828772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000577913,"about_ca_system_score_gemma":0.00007152565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02143145,"about_ca_topic_score_gemma":0.0350961,"domain_scores_codex":[0.9980055,0.00008762371,0.0008587831,0.0003063951,0.00007906265,0.0006626067],"domain_scores_gemma":[0.9988914,0.00008637924,0.00042678,0.0003881149,0.00004197129,0.0001653206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007507249,0.00002445064,0.001869069,0.000365241,0.00002311416,0.000009452717,0.06380427,0.00001830044,2.347418e-7,0.2090028,0.0002884254,0.7245196],"study_design_scores_gemma":[0.002963688,0.002074274,0.09765103,0.004978924,0.00001824588,0.00005222958,0.3010078,0.009990691,0.000004273521,0.07152627,0.5082235,0.001509028],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4201249,0.0403778,0.0005254981,0.5282422,0.002231173,0.003176238,0.00003092624,0.0004770636,0.004814174],"genre_scores_gemma":[0.993464,0.002967306,0.00006382776,0.002798325,0.00009204332,0.0000583372,0.00001259029,0.00001543438,0.0005281511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7230105,"threshold_uncertainty_score":0.9998381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316157216480952,"score_gpt":0.2460661279173959,"score_spread":0.2144504062693007,"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."}}