{"id":"W4226023531","doi":"10.20944/preprints202112.0306.v2","title":"Cancer clinic redesign: Opportunities for Resource Optimization","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"University of Ottawa","keywords":"Agile software development; Schedule; Operations management; Analytics; Ambulatory; Business; Computer science; Operations research; Medicine; Data science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003976415,0.00041004,0.0006769132,0.0002913536,0.002321361,0.0000259088,0.0006352329,0.0008429632,0.0300436],"category_scores_gemma":[0.001000419,0.0004529356,0.0002393335,0.0002114257,0.00007159477,0.0001335498,0.001500345,0.002320094,0.0001720645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008748854,"about_ca_system_score_gemma":0.003477953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007050567,"about_ca_topic_score_gemma":0.00008682509,"domain_scores_codex":[0.9945761,0.001505957,0.001637671,0.001147514,0.0004457266,0.0006870285],"domain_scores_gemma":[0.9958652,0.0006514937,0.001025771,0.0013933,0.0007944253,0.0002697568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002780051,0.0001480173,0.1151376,0.001519167,0.0001579974,0.000005428023,0.005506109,0.8654116,0.00003318349,0.0008954349,0.01004588,0.0008615916],"study_design_scores_gemma":[0.002471469,0.0001644991,0.01709947,0.00187422,0.000405653,0.000001953288,0.02193483,0.2106176,0.0001188994,0.001072106,0.7423986,0.001840738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4325979,0.002167083,0.2113966,0.09851257,0.02177469,0.03740524,0.00374165,0.003178308,0.1892259],"genre_scores_gemma":[0.4260843,0.0135904,0.07111926,0.01530224,0.005264905,0.06617697,0.0133454,0.0008538737,0.3882626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7323527,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6074387246172072,"score_gpt":0.5377958063825334,"score_spread":0.06964291823467372,"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."}}