{"id":"W7023382769","doi":"","title":"Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches","year":2012,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Tabu search; Metaheuristic; Guided Local Search; Scheduling (production processes); Benchmark (surveying); Job shop scheduling; Heuristic; Tardiness","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":[0.001013179,0.0007520524,0.001004729,0.001400893,0.000438235,0.001262285,0.000981682,0.001289082,0.002133148],"category_scores_gemma":[0.001977655,0.0005434523,0.001060147,0.00172197,0.0004493998,0.0006048272,0.0004786355,0.0006328838,0.0002362167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537798,"about_ca_system_score_gemma":0.002550347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078535,"about_ca_topic_score_gemma":0.009745694,"domain_scores_codex":[0.9993802,0.000353922,0.00001929333,0.00005392258,0.0001018276,0.00009071559],"domain_scores_gemma":[0.9994915,0.000331632,0.00007484687,0.00001886454,0.00004596745,0.00003725328],"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":[0.00004924364,0.00007550767,0.0002967317,0.00008554859,0.00004218391,0.00003357561,0.00002711785,0.9730578,0.0003357798,0.004760025,0.0007799115,0.0204566],"study_design_scores_gemma":[0.00001815282,0.0000369792,0.0001428653,0.00001495693,0.00001372503,0.00001246574,0.00002946999,0.9971522,0.000202377,0.001668234,0.0007036909,0.000004940977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1218495,0.004479632,0.8505504,0.00133972,0.0002411121,0.0003847557,0.0003204789,0.0003976295,0.02043677],"genre_scores_gemma":[0.6515694,0.002800819,0.3393923,0.0002834613,0.0001403381,0.0003743227,0.0002665187,0.0001134645,0.005059341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01078535,"threshold_uncertainty_score":0.02144516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07262467907086292,"score_gpt":0.3120880442429608,"score_spread":0.2394633651720978,"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."}}