{"id":"W4400166385","doi":"10.1016/j.compag.2024.109205","title":"Long-term video activity monitoring and anomaly alerting of group-housed pigs","year":2024,"lang":"en","type":"article","venue":"Computers and Electronics in Agriculture","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Special Project for Research and Development in Key areas of Guangdong Province; South China Agricultural University","keywords":"Term (time); Anomaly (physics); Video monitoring; Anomaly detection; Computer science; Group (periodic table); Real-time computing; Aeronautics; Artificial intelligence; Engineering; Physics","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":[0.0001639588,0.0002112507,0.0003048498,0.0005135532,0.0003123099,0.0002270585,0.0002799869,0.0003922452,0.0007868493],"category_scores_gemma":[0.0003217097,0.00013845,0.0001857652,0.0001602245,0.0002870825,0.000344346,0.0002353594,0.0004692936,0.0002217115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000256824,"about_ca_system_score_gemma":0.000217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153097,"about_ca_topic_score_gemma":0.005665093,"domain_scores_codex":[0.999885,0.00001673375,0.000004426997,0.00004202486,0.00001642651,0.0000354533],"domain_scores_gemma":[0.9997444,0.00003723571,0.00005986575,0.0000238314,0.00005113864,0.00008359295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01040789,0.002627825,0.1757983,0.00009748647,0.0001272251,0.0005245317,0.0008213487,0.0002733552,0.7802877,0.00006671239,0.0004380782,0.02852939],"study_design_scores_gemma":[0.00003817593,0.008075424,0.9511887,0.00001380617,0.00009766861,0.0002585487,0.0006476454,0.001361922,0.03776138,0.00006520574,0.0004699481,0.00002148406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995319,0.00004326765,0.0001720818,0.000007068094,0.000006044532,0.00000800807,0.00008524632,0.00000389491,0.0001425187],"genre_scores_gemma":[0.9975587,0.00007289543,0.0003959404,0.00002133761,0.000009624083,0.0000630398,0.000335045,0.000005206346,0.001538242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002153097,"threshold_uncertainty_score":0.004281104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381409085709986,"score_gpt":0.2920143547925678,"score_spread":0.268200263935468,"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."}}