{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002609551,0.000218768,0.0005170697,0.0003558219,0.000315961,0.000004294828,0.000111204,0.0003802396,0.00006023195],"category_scores_gemma":[0.00005312774,0.0002447885,0.00005819287,0.0002675507,0.00004663964,0.0001513771,0.00002493701,0.0002407621,0.0000068229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531213,"about_ca_system_score_gemma":0.0002496693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002966632,"about_ca_topic_score_gemma":0.08434336,"domain_scores_codex":[0.9985717,0.0003545659,0.0003410316,0.0002681655,0.0002082405,0.0002563074],"domain_scores_gemma":[0.9986844,0.0001290817,0.0005801385,0.0002265022,0.0002823459,0.00009750501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007026572,0.001108109,0.9621069,0.00201105,0.0002091988,0.000002745749,0.01422383,0.01255588,0.00001415305,0.0005753088,0.0001458915,0.00634425],"study_design_scores_gemma":[0.002763013,0.0002886968,0.9441381,0.0004427888,0.0002173656,1.262779e-7,0.03287615,0.01851653,0.00000975175,0.00002631443,0.0004621559,0.0002589829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922327,0.0002827005,0.003030136,0.0001999244,0.0003077841,0.001525062,0.0001022711,0.00002386539,0.002295585],"genre_scores_gemma":[0.9833189,0.001215448,0.01098158,0.00001463856,0.00003953179,0.000008782018,0.002746022,0.00004136172,0.001633787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08137672,"threshold_uncertainty_score":0.9982187,"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."}}