{"id":"W2152161239","doi":"10.1200/jop.2013.001028","title":"Models That Work: Incorporating Quality Principles in Different Clinical Settings","year":2013,"lang":"en","type":"article","venue":"Journal of Oncology Practice","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Canadian Partnership Against Cancer; Cancer Care Ontario","funders":"","keywords":"Medicine; Quality (philosophy); Work (physics); MEDLINE; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.06915633,0.001083707,0.0006546265,0.00163555,0.005670916,0.01675936,0.004783925,0.0044866,0.003169909],"category_scores_gemma":[0.1173776,0.0009457173,0.001726569,0.001724422,0.006398096,0.01025719,0.01179068,0.01019544,0.000934297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01309512,"about_ca_system_score_gemma":0.02477778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008238,"about_ca_topic_score_gemma":0.02603111,"domain_scores_codex":[0.9053423,0.0758615,0.002918628,0.002351507,0.009340889,0.00418508],"domain_scores_gemma":[0.9047259,0.0521814,0.007686235,0.009987882,0.01089316,0.01452544],"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":[0.0004071416,0.006816111,0.05723494,0.00192898,0.0004923868,0.001602624,0.1156528,0.0461056,0.00232136,0.3069316,0.05461483,0.4058916],"study_design_scores_gemma":[0.0009580524,0.003786521,0.01989657,0.005156436,0.0005031113,0.001879422,0.1010713,0.1168576,0.004553,0.428078,0.3163285,0.0009315507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.217204,0.003353768,0.415558,0.2567808,0.002628564,0.003903778,0.0001749411,0.001718285,0.09867785],"genre_scores_gemma":[0.5934846,0.001449984,0.3861432,0.01275931,0.0001864104,0.001318714,0.0001282784,0.0002816287,0.004248009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06915633,"threshold_uncertainty_score":0.365738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.582855420879729,"score_gpt":0.5880735195357244,"score_spread":0.005218098655995429,"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."}}