{"id":"W2599878056","doi":"10.1016/j.ijrobp.2015.07.1455","title":"Making Molehills out of a Mountain: One Centre’s Experience With a New Scheduling Strategy to Diminish Workload Variations in Response to Increased Treatment Demands","year":2015,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Université de Montréal; Centre Integre de Sante et de Services Sociaux de Laval","funders":"","keywords":"Medicine; Workload; Scheduling (production processes); Operations management; Aeronautics; Management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005731198,0.0007849213,0.0004545343,0.0004007581,0.004234212,0.002702348,0.003820643,0.001438404,0.005007097],"category_scores_gemma":[0.01113044,0.000508789,0.0009993132,0.0007200626,0.001241096,0.000946125,0.002198887,0.00268375,0.0009136486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003344599,"about_ca_system_score_gemma":0.006465039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01792795,"about_ca_topic_score_gemma":0.04511938,"domain_scores_codex":[0.9969077,0.001239746,0.0001485171,0.0004067454,0.0004496241,0.0008477856],"domain_scores_gemma":[0.9907681,0.001526169,0.0004921269,0.0005845038,0.001027468,0.00560157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005073466,0.01749109,0.04088828,0.001238894,0.0006431058,0.006135266,0.104802,0.01758923,0.01614424,0.002176977,0.0961232,0.6916942],"study_design_scores_gemma":[0.00330955,0.04400492,0.1349341,0.0005469865,0.0009130203,0.01147578,0.138612,0.02597806,0.02072456,0.005463833,0.612518,0.0015193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605681,0.0007617027,0.01358849,0.008188536,0.001784242,0.0005454606,0.000173101,0.0006042229,0.01378611],"genre_scores_gemma":[0.9364728,0.0005866008,0.04972194,0.003032414,0.0004456113,0.0002941608,0.000295767,0.0005168846,0.008633697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01792795,"threshold_uncertainty_score":0.03564721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06289938854441639,"score_gpt":0.3800840179763903,"score_spread":0.3171846294319739,"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."}}