{"id":"W2969778366","doi":"10.1002/hpm.2887","title":"Breast cancer treatment pathway improvement using time‐driven activity‐based costing","year":2019,"lang":"en","type":"article","venue":"The International Journal of Health Planning and Management","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Activity-based costing; Trajectory; Cost driver; Computer science; Process (computing); Health care; Breast cancer; Work (physics); Operations management; Resource allocation; Resource (disambiguation); Cost accounting; Business; Operations research; Cancer; Medicine; Economics; Engineering; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082289,0.00009869033,0.0002194853,0.0001201977,0.00007677787,0.00003746069,0.0001020251,0.00001749688,0.00007824003],"category_scores_gemma":[0.00002744426,0.00006396137,0.000062929,0.00004663199,0.00001565538,0.0001111075,0.00005432923,0.0001286959,0.000005867362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005626425,"about_ca_system_score_gemma":0.0002463669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004035147,"about_ca_topic_score_gemma":0.000005291695,"domain_scores_codex":[0.9985939,0.00007139552,0.0006041556,0.0001187515,0.0004636625,0.0001481714],"domain_scores_gemma":[0.9985915,0.0002438341,0.0008099204,0.00009861767,0.0001817271,0.00007439092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002550909,0.0007415609,0.04338467,0.0002412909,0.001549389,0.0001469279,0.0006567303,0.01628489,0.007945177,0.00007528808,0.002057302,0.9243659],"study_design_scores_gemma":[0.0529787,0.008768971,0.3911764,0.009485612,0.001627436,0.002678828,0.007025118,0.4416093,0.003036764,0.0002138956,0.08054762,0.0008513046],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587201,0.0002376625,0.002598265,0.03709813,0.0006287933,0.0005276829,0.00002054227,0.00001028433,0.0001585541],"genre_scores_gemma":[0.9934485,0.0002304754,0.001925742,0.003895118,0.0002729833,0.000005873907,0.000008415563,0.00001155391,0.000201334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9235145,"threshold_uncertainty_score":0.2608269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1781263042412574,"score_gpt":0.49115163899847,"score_spread":0.3130253347572126,"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."}}