{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001825971,0.00110543,0.0007742252,0.001236259,0.0006473871,0.00183096,0.001706362,0.001278622,0.00464663],"category_scores_gemma":[0.005770962,0.0005184925,0.001152696,0.0009955373,0.0007499033,0.002094143,0.001791575,0.001146977,0.000995147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060519,"about_ca_system_score_gemma":0.00112681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009111376,"about_ca_topic_score_gemma":0.01355821,"domain_scores_codex":[0.9990971,0.0001943279,0.00005045487,0.0002691826,0.0002859327,0.0001029593],"domain_scores_gemma":[0.9983707,0.0006816267,0.0001380916,0.0002401691,0.0004823748,0.00008713774],"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":[0.001056465,0.0002559791,0.01716145,0.0007116989,0.0002466323,0.0006761236,0.001521148,0.3189275,0.05731858,0.01050656,0.002445149,0.5891727],"study_design_scores_gemma":[0.00003551666,0.0003735184,0.01250652,0.0001286439,0.000158545,0.0003177699,0.0009231885,0.9425104,0.02554384,0.009516297,0.007914525,0.00007135518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1943226,0.0009341235,0.7915321,0.0004722423,0.0001666942,0.0002261243,0.00034092,0.001419369,0.01058589],"genre_scores_gemma":[0.5789487,0.0006010896,0.4119905,0.0001349851,0.00003166455,0.0002043977,0.0004415577,0.0001731041,0.007474032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009111376,"threshold_uncertainty_score":0.01811665,"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."}}