{"id":"W2984448239","doi":"10.5753/sbsi.2016.5951","title":"Um Sistema de Informação para Melhoramento Genético de Caprinos e Ovinos","year":2016,"lang":"pt","type":"article","venue":"Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI)","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"","keywords":"Biology","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002443099,0.001802651,0.001508065,0.0003974436,0.001194626,0.001180076,0.002667574,0.001554603,0.005397766],"category_scores_gemma":[0.0005852398,0.001286917,0.001043408,0.001291517,0.0007171964,0.003584157,0.001454906,0.001139328,0.00508548],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005103831,"about_ca_system_score_gemma":0.0009295081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009615737,"about_ca_topic_score_gemma":0.0007422537,"domain_scores_codex":[0.9890129,0.0004327946,0.002765271,0.00126745,0.001963663,0.004557926],"domain_scores_gemma":[0.9937346,0.0006028608,0.001395593,0.001671072,0.0001596356,0.002436215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003649041,0.0004628782,0.8340471,0.001078169,0.000605303,0.0003870231,0.0123302,0.00057756,0.02824349,0.0006450986,0.06194229,0.05931602],"study_design_scores_gemma":[0.003077416,0.0005651288,0.8673766,0.001628701,0.0004252456,0.0006295981,0.005065295,0.00152655,0.02018219,0.0002568666,0.0963515,0.002914869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705688,0.0008936454,0.00193944,0.002098904,0.0006409315,0.001998453,0.0002187005,0.0004438823,0.02119722],"genre_scores_gemma":[0.96368,0.001833106,0.001602791,0.005040778,0.0004410426,0.0002892282,0.00008967681,0.0001368606,0.02688657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05640116,"threshold_uncertainty_score":0.9998568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751082695413324,"score_gpt":0.2497094540793724,"score_spread":0.2321986271252391,"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."}}