{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003302639,0.0007299182,0.0004238841,0.0007616621,0.0005625501,0.002945307,0.001165303,0.0007417465,0.00382865],"category_scores_gemma":[0.008189854,0.0003621331,0.0004958428,0.001113617,0.0005902779,0.00236339,0.001349073,0.001080076,0.0006058132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841697,"about_ca_system_score_gemma":0.004485691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007654486,"about_ca_topic_score_gemma":0.007054518,"domain_scores_codex":[0.9982349,0.0008059837,0.0001011846,0.0002595662,0.0003523173,0.0002460583],"domain_scores_gemma":[0.9964088,0.001495087,0.0003889025,0.0007087796,0.0006101991,0.0003882591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003939414,0.001255797,0.02007747,0.0003240573,0.0001145012,0.0002155062,0.0006323954,0.5552858,0.006058927,0.02973226,0.01104055,0.3748688],"study_design_scores_gemma":[0.00008762799,0.0003349971,0.004488397,0.00006809339,0.00003479217,0.0000790188,0.0007499576,0.9508392,0.004236653,0.02022917,0.01881301,0.00003904908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3715151,0.001324279,0.576305,0.01660328,0.0003396441,0.0009881875,0.0009772961,0.003988829,0.02795838],"genre_scores_gemma":[0.8670221,0.0002961353,0.1298266,0.0002730133,0.00006540881,0.0001415921,0.0004950846,0.0001614533,0.001718618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007654486,"threshold_uncertainty_score":0.01746619,"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."}}