{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004151187,0.0007309024,0.001185953,0.0002234952,0.002656646,0.00007978643,0.0007974562,0.001322393,0.01113866],"category_scores_gemma":[0.001415163,0.000506154,0.0004131858,0.0005037292,0.0003856713,0.0004477178,0.0005688827,0.001646416,0.003405125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007721393,"about_ca_system_score_gemma":0.002105442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513879,"about_ca_topic_score_gemma":0.003697325,"domain_scores_codex":[0.9874308,0.005211221,0.002638981,0.001160911,0.0008310116,0.002727064],"domain_scores_gemma":[0.9927248,0.00350449,0.0006973021,0.001454284,0.0003523721,0.00126669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003560386,0.001367431,0.1682109,0.007918281,0.0004005422,0.0002286963,0.06643708,0.00001734842,0.0008946319,0.1790821,0.1115442,0.4603384],"study_design_scores_gemma":[0.01800524,0.005140342,0.1508292,0.01715307,0.001034008,0.0002132489,0.1184517,0.01186165,0.001613645,0.09090439,0.5783563,0.006437263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5253407,0.002605782,0.009758384,0.4207963,0.0112697,0.006117027,0.001207226,0.001072975,0.02183187],"genre_scores_gemma":[0.9503952,0.00169967,0.0003030791,0.007910593,0.002248171,0.000198347,0.00004546381,0.0001154094,0.03708409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4668121,"threshold_uncertainty_score":0.9999741,"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."}}