{"id":"W4414830786","doi":"10.1093/jas/skaf300.497","title":"PSIV-10 Towards automated anemia detection: AI models for accurate FAMACHA classification in outdoor environments.","year":2025,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Support vector machine; Cohen's kappa; Pattern recognition (psychology); Kappa; Artificial neural network; Robustness (evolution); Backpropagation","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":[0.002439484,0.001414043,0.000860184,0.001056132,0.000365109,0.001301448,0.001568337,0.001230995,0.002559494],"category_scores_gemma":[0.004417709,0.0005583474,0.001231156,0.0005589328,0.0002758839,0.0008666774,0.0008475363,0.001718828,0.001434651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135259,"about_ca_system_score_gemma":0.001102185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01422597,"about_ca_topic_score_gemma":0.01118658,"domain_scores_codex":[0.9994562,0.0001788042,0.00003613488,0.0001574557,0.0001084857,0.00006290807],"domain_scores_gemma":[0.9984571,0.0007625622,0.0001249749,0.00008852605,0.0005062122,0.00006068551],"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":[0.0006015773,0.0004749738,0.01972622,0.0004183587,0.0004347148,0.0001692283,0.000182866,0.6044632,0.01014276,0.00144442,0.01170566,0.3502361],"study_design_scores_gemma":[0.000003963361,0.0000358186,0.001061744,0.0000122454,0.000009951285,0.00001192609,0.00001245564,0.9972602,0.0008318592,0.0003430435,0.0004119257,0.00000487128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3109131,0.003271573,0.6597723,0.001064355,0.0005609799,0.000407186,0.002142645,0.01589556,0.005972353],"genre_scores_gemma":[0.8067584,0.0005520445,0.1828373,0.0003297265,0.0001019525,0.0003984082,0.003421912,0.0002786762,0.005321577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01422597,"threshold_uncertainty_score":0.02828634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137892413194714,"score_gpt":0.329126567218658,"score_spread":0.2977476430867109,"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."}}