{"id":"W4200471391","doi":"10.20944/preprints202112.0306.v1","title":"Cancer Clinic Redesign: Opportunities for Resource Optimization","year":2021,"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; Software deployment; Process (computing); Operations management; Ambulatory; Negotiation; Business; Health care; Construct (python library); Resource (disambiguation); Process management; Medicine; Computer 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":[0.006661891,0.001038575,0.0006124591,0.00135618,0.00117132,0.005403675,0.002063112,0.001478733,0.006202089],"category_scores_gemma":[0.01566434,0.000440044,0.0006904649,0.001703587,0.001353905,0.005160652,0.002643866,0.001829538,0.001089449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002577072,"about_ca_system_score_gemma":0.008845319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004121181,"about_ca_topic_score_gemma":0.006178711,"domain_scores_codex":[0.9959167,0.001920239,0.0001833288,0.0005230237,0.0007814772,0.000675309],"domain_scores_gemma":[0.992119,0.003079796,0.0007955376,0.00162411,0.001281798,0.00109981],"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":[0.0004419401,0.001449918,0.01643317,0.0006502953,0.0001479972,0.0004230572,0.001755832,0.1439799,0.004510007,0.1065803,0.02799831,0.6956292],"study_design_scores_gemma":[0.0003121405,0.001120707,0.01366727,0.0005963562,0.0001191604,0.0003784497,0.009294599,0.514742,0.006002707,0.2673883,0.1861877,0.0001906011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.259502,0.007191096,0.5508943,0.09163955,0.001114133,0.001392687,0.0007412615,0.003914559,0.08361048],"genre_scores_gemma":[0.7543523,0.002327263,0.2350321,0.001461078,0.0004218676,0.0003727296,0.0005635637,0.0003474255,0.005121756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006661891,"threshold_uncertainty_score":0.03523189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5962811383435884,"score_gpt":0.5305697285765097,"score_spread":0.06571140976707868,"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."}}