{"id":"W2766909225","doi":"","title":"Sequenciamento de atividades intrahospitalares por meio de máquinas paralelas idênticas","year":2017,"lang":"pt","type":"article","venue":"","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Physics; Philosophy","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":[0.002390778,0.001013452,0.0008184598,0.001606946,0.001114976,0.002998397,0.001577943,0.00100003,0.005484802],"category_scores_gemma":[0.01142729,0.000656994,0.0009474854,0.00173979,0.000603454,0.002231841,0.001342006,0.001564838,0.001073342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805697,"about_ca_system_score_gemma":0.002530234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009935762,"about_ca_topic_score_gemma":0.008726831,"domain_scores_codex":[0.9979316,0.0003677024,0.0001266306,0.0005099835,0.0007580583,0.0003061067],"domain_scores_gemma":[0.9913661,0.004365359,0.001158367,0.0007977425,0.001937545,0.0003748086],"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":[0.001690074,0.0005470947,0.09721766,0.001058413,0.0004333566,0.001242217,0.002321896,0.5320675,0.03861878,0.0327261,0.0105701,0.2815068],"study_design_scores_gemma":[0.00005688367,0.000716319,0.0319032,0.0001413384,0.0002269742,0.0004095671,0.001284775,0.9062867,0.01612067,0.02751017,0.01522801,0.0001154042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.435827,0.002439508,0.5353792,0.002867403,0.0003870673,0.0004261152,0.002726564,0.004508378,0.01543867],"genre_scores_gemma":[0.9109488,0.0007048923,0.07800804,0.000184139,0.00007718884,0.0002888593,0.001244217,0.0002188664,0.008325046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009935762,"threshold_uncertainty_score":0.01975584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172795987962308,"score_gpt":0.4401684969011377,"score_spread":0.3228888981049068,"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."}}