{"id":"W4386715978","doi":"10.18280/isi.280411","title":"DeepBrucel: A Deep Learning Approach for Automated Risk Detection of Brucellosis in Cattle Farms in Ecuador","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brucellosis; Brucella abortus; Artificial intelligence; Geography; Agricultural science; Veterinary medicine; Computer science; Medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008057016,0.0008208987,0.0004613147,0.000841268,0.0001757154,0.0006589071,0.0008023316,0.0004916789,0.001172742],"category_scores_gemma":[0.001611541,0.0002252241,0.0003560625,0.0003211235,0.0002005713,0.0004962516,0.0007495589,0.0005248935,0.0002436458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000969369,"about_ca_system_score_gemma":0.000807424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02268114,"about_ca_topic_score_gemma":0.01868793,"domain_scores_codex":[0.9997928,0.00005609735,0.00001570404,0.00005856629,0.0000373691,0.00003939446],"domain_scores_gemma":[0.9996406,0.0001470822,0.00007387987,0.00002546373,0.00008836741,0.00002451206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005462891,0.0004638779,0.07176382,0.0002220374,0.0002469944,0.0004864847,0.0001764405,0.602128,0.008124248,0.001319638,0.005919951,0.3086021],"study_design_scores_gemma":[0.00001411771,0.00007359129,0.006726135,0.00001862611,0.00001928013,0.00003640397,0.00004960454,0.9902047,0.001470392,0.0006144905,0.0007643776,0.000008311011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7335359,0.001423656,0.2548053,0.0009770084,0.00006691709,0.0001562784,0.00263031,0.00387964,0.002524986],"genre_scores_gemma":[0.9449983,0.00030108,0.04875591,0.0001153394,0.00002263384,0.0001167352,0.002996085,0.00005775473,0.002636132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02268114,"threshold_uncertainty_score":0.04509825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389360274489184,"score_gpt":0.2496279660197529,"score_spread":0.2357343632748611,"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."}}