{"id":"W2518081241","doi":"10.5151/marine-spolm2015-140481","title":"UM ESTUDO SOBRE PREVISÃO DA DEMANDA DE ENCOMENDAS UTILIZANDO UMA REDE NEURAL ARTIFICIAL","year":2016,"lang":"pt","type":"article","venue":"","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"GLS Industries (Canada)","funders":"","keywords":"Artificial neural network; Computer science; Humanities; Artificial intelligence; Art","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":[0.002251319,0.0003798463,0.0004502048,0.0007098903,0.0003605603,0.0007856847,0.0006379252,0.0006354837,0.001346183],"category_scores_gemma":[0.008878624,0.0002743021,0.0004554552,0.001436812,0.00042358,0.001168104,0.0004073824,0.0005869681,0.0002628636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007676932,"about_ca_system_score_gemma":0.0004773071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007608864,"about_ca_topic_score_gemma":0.0114765,"domain_scores_codex":[0.9986217,0.0004557341,0.0001127762,0.0002106229,0.0005059669,0.00009324399],"domain_scores_gemma":[0.9944372,0.003811465,0.0004645122,0.0003070133,0.0009143818,0.00006545267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001071943,0.00166515,0.2895877,0.00225146,0.0003732008,0.00125333,0.01122646,0.04167531,0.03519223,0.004559917,0.003328499,0.6078148],"study_design_scores_gemma":[0.00008875116,0.0034177,0.3514474,0.0009074003,0.0008256664,0.00169819,0.01823945,0.4920297,0.08529629,0.005950439,0.03983444,0.0002646136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844295,0.0007260101,0.009676309,0.00033461,0.00003614419,0.00004193671,0.0001880445,0.00006505216,0.004502372],"genre_scores_gemma":[0.9896398,0.0008213419,0.00727738,0.00006563101,0.00002599278,0.00002660101,0.0001381349,0.00001733072,0.001987855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007608864,"threshold_uncertainty_score":0.01512915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945218906770835,"score_gpt":0.4608747656954464,"score_spread":0.2663528750183629,"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."}}