{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006539579,0.0001052846,0.0001363598,0.0004176837,0.000100479,0.00004304128,0.0001167287,0.0001591749,0.000002736674],"category_scores_gemma":[0.0004894089,0.0001161171,0.00006167886,0.000657601,0.00006315642,0.00005212046,0.00003155126,0.00008787131,0.00002023965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006128864,"about_ca_system_score_gemma":0.00003209565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001335109,"about_ca_topic_score_gemma":0.00009128855,"domain_scores_codex":[0.9988889,0.00008679449,0.0005745662,0.000152651,0.0001073703,0.0001897126],"domain_scores_gemma":[0.999266,0.00002492041,0.0003354569,0.0001708077,0.0001752101,0.00002764156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005236528,0.0002491051,0.04839344,0.001764174,0.0001275255,4.881572e-7,0.01285228,0.2377068,0.4859793,0.0002874212,0.0003683729,0.2117475],"study_design_scores_gemma":[0.001353259,0.0001790992,0.114838,0.00004890942,0.00001841048,0.000005452667,0.00467363,0.382832,0.4941633,0.0001413699,0.001447118,0.0002994587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531994,0.00006177808,0.04563007,0.000006917373,0.0001088676,0.0004573342,0.00001992868,0.0001105889,0.0004050943],"genre_scores_gemma":[0.9975226,0.00008042902,0.001048835,0.00001470383,0.00001821085,0.0002679902,0.0009689432,0.00001346847,0.00006485642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2114481,"threshold_uncertainty_score":0.4735118,"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."}}