{"id":"W6980530372","doi":"","title":"Chemotherapy Outpatient Scheduling at the Segal Cancer Center Using Mixed Integer Programming Models","year":2017,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Time horizon; Integer programming; Job shop scheduling; Schedule; Minification; Outpatient clinic; Dynamic programming; Linear programming; Task (project management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273189,0.001284233,0.0009070643,0.0005713544,0.0009739051,0.003321886,0.001784724,0.001526532,0.005741189],"category_scores_gemma":[0.001993871,0.0008832731,0.001173437,0.001199977,0.000622197,0.0009562252,0.0008218967,0.001451979,0.000494173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006057476,"about_ca_system_score_gemma":0.006262123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.168403,"about_ca_topic_score_gemma":0.1974016,"domain_scores_codex":[0.9991071,0.0004098467,0.00002283083,0.0001493953,0.0000974127,0.000213387],"domain_scores_gemma":[0.9987142,0.0007900523,0.0001797289,0.00003086168,0.0001491612,0.0001358887],"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":[0.00005489815,0.00006128883,0.0006659988,0.00002933494,0.0000193867,0.00006512823,0.00002992978,0.9902896,0.0002297156,0.003997828,0.001028125,0.003528778],"study_design_scores_gemma":[0.00001116463,0.00002360291,0.0001427628,0.000004398976,0.00000712599,0.00000369658,0.00002787547,0.9984792,0.00006046605,0.0006123718,0.0006225815,0.000004791528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3157113,0.001999943,0.6051732,0.004162742,0.0003606656,0.0007604301,0.002911634,0.0007760571,0.06814393],"genre_scores_gemma":[0.8816723,0.001058372,0.08870538,0.000301925,0.0001064084,0.000551986,0.0009539701,0.0001186252,0.02653102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.168403,"threshold_uncertainty_score":0.3348455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04750680222575714,"score_gpt":0.3388067486990785,"score_spread":0.2912999464733214,"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."}}