{"id":"W4399491116","doi":"10.56885/dsop4563","title":"The Alberta Atlas of Healthcare Variation (A-Atlas): A New Clinical Tool","year":2024,"lang":"en","type":"article","venue":"Wound Care Canada","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Health Services","keywords":"Atlas (anatomy); Health care; Cartography; Variation (astronomy); Medicine; Geography; Political science; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008710939,0.0009028397,0.001101935,0.01848578,0.001962293,0.005636708,0.002833882,0.0008628137,0.01379699],"category_scores_gemma":[0.04101376,0.0005547403,0.001207503,0.02922314,0.001186531,0.001694005,0.003964245,0.001740535,0.001043427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0212131,"about_ca_system_score_gemma":0.04545319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8529597,"about_ca_topic_score_gemma":0.8637621,"domain_scores_codex":[0.9929826,0.001636255,0.0007054642,0.0006319861,0.003647047,0.0003965424],"domain_scores_gemma":[0.9735129,0.007846056,0.003185077,0.001788672,0.01088872,0.002778666],"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":[0.0002858901,0.0000966919,0.15638,0.001392932,0.0005114148,0.0002688278,0.001727492,0.009280112,0.0002911012,0.04194711,0.5823719,0.2054465],"study_design_scores_gemma":[0.0001810925,0.0001053801,0.3431993,0.001682541,0.0003330894,0.0006765009,0.00288704,0.0130215,0.0003482796,0.03113593,0.6061497,0.000279635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.06511153,0.01744146,0.1120604,0.0309269,0.002648652,0.002822825,0.5924923,0.01083481,0.165661],"genre_scores_gemma":[0.4794318,0.01188161,0.2515695,0.004624614,0.001326074,0.003364852,0.223651,0.001871896,0.02227868],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1470403,"threshold_uncertainty_score":0.2958125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1932579868117676,"score_gpt":0.4143859879651902,"score_spread":0.2211280011534226,"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."}}