{"id":"W3158564823","doi":"10.47820/recima21.v2i4.200","title":"RECONHECENDO ESTILOS DE CERVEJA COM UMA REDE NEURAL ARTIFICIAL","year":2021,"lang":"pt","type":"article","venue":"RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Humanities; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001907803,0.001406193,0.001678004,0.0001177291,0.003194242,0.002037675,0.0022111,0.0008155344,0.004499478],"category_scores_gemma":[0.001026631,0.0007004239,0.001332512,0.003710763,0.001012947,0.0009315513,0.001548542,0.001366143,0.001148731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004641824,"about_ca_system_score_gemma":0.0002653767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00019115,"about_ca_topic_score_gemma":0.0006760753,"domain_scores_codex":[0.9888484,0.001387635,0.002160595,0.003113892,0.001700833,0.002788615],"domain_scores_gemma":[0.9948906,0.0008966355,0.001072289,0.0007997428,0.0008386909,0.001501996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008082447,0.004864581,0.02272115,0.0006208241,0.0004035517,0.001477385,0.006073253,0.0003778544,0.6351936,0.004252614,0.04976517,0.2734417],"study_design_scores_gemma":[0.003743666,0.006655351,0.3975181,0.003732473,0.001614428,0.002424107,0.05806108,0.04984702,0.05696241,0.002679745,0.4053432,0.01141848],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563923,0.006343094,0.00005246697,0.02938128,0.002619735,0.001261505,0.0008955075,0.0003647829,0.00268932],"genre_scores_gemma":[0.967975,0.001102993,0.0007933633,0.0004468479,0.002686371,0.00008261132,0.000724161,0.00002703827,0.0261616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5782312,"threshold_uncertainty_score":0.9998688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809921406112206,"score_gpt":0.2880654205292136,"score_spread":0.2299662064680915,"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."}}