{"id":"W2016067354","doi":"10.1787/406746186162","title":"Explaining Waiting Times Variations for Elective Surgery Across OECD Countries","year":2003,"lang":"en","type":"report","venue":"OECD health working papers","topic":"Healthcare, Law, Governance, and Management Studies","field":"Health Professions","cited_by":315,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elective surgery; Medicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01165076,0.0009801852,0.00259412,0.0003396809,0.01200418,0.00009001158,0.0003504579,0.001069265,0.0005070649],"category_scores_gemma":[0.002816287,0.0009992912,0.0005453835,0.0003639452,0.0002036387,0.0001542787,0.0002597549,0.001894485,0.0001827879],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005193233,"about_ca_system_score_gemma":0.0145011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003873657,"about_ca_topic_score_gemma":0.007785322,"domain_scores_codex":[0.9885553,0.00129973,0.003054832,0.001497173,0.001591615,0.004001314],"domain_scores_gemma":[0.9836301,0.008657822,0.005653856,0.0007243028,0.0008043232,0.0005296144],"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":[0.0001535823,0.00008834271,0.05874062,0.01416314,0.0008558702,0.0000189528,0.0166867,0.0000129203,8.842566e-7,0.01407588,0.8296264,0.06557672],"study_design_scores_gemma":[0.0006389529,0.00009356604,0.004057528,0.004922303,0.0001151208,0.000004177223,0.01048612,0.0000241014,6.747951e-7,0.0002002657,0.9786563,0.0008008968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007773152,0.0287807,0.004244264,0.03153178,0.04256978,0.01565433,0.00200793,0.001748382,0.8726856],"genre_scores_gemma":[0.2697546,0.2752521,0.005397054,0.08837523,0.02388545,0.02145642,0.004025798,0.001940694,0.3099126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5627729,"threshold_uncertainty_score":0.9992458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1580172388318866,"score_gpt":0.467728057093244,"score_spread":0.3097108182613574,"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."}}