{"id":"W4379229011","doi":"10.23977/jaip.2023.060307","title":"A Method for Eliminating Pig Face Recognition Errors Caused by Too Short Pig Growth Cycle","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upload; Computer science; Pig breeding; Overhead (engineering); Identification (biology); Facial recognition system; Real-time computing; Artificial intelligence; Pattern recognition (psychology); Biology; Ecology; World Wide Web; Animal science","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":[0.003060133,0.0002332286,0.0003941208,0.0002242386,0.0004119804,0.0001246798,0.0002649765,0.0001278574,0.00007820709],"category_scores_gemma":[0.005363011,0.0002166726,0.0002563947,0.0005465645,0.00006954722,0.001158448,0.00009228653,0.0005043807,0.0001649128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087953,"about_ca_system_score_gemma":0.00006342423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001244167,"about_ca_topic_score_gemma":0.00001343934,"domain_scores_codex":[0.9973915,0.0003426881,0.001047243,0.0002959647,0.0004978463,0.0004247141],"domain_scores_gemma":[0.9954858,0.002379107,0.0006814367,0.0001352274,0.001187725,0.0001307345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005151549,0.000904319,0.0003198436,0.0001393111,0.0004513377,0.0007007597,0.01148366,0.0001818808,0.264252,0.001089722,0.01378346,0.7015421],"study_design_scores_gemma":[0.000767793,0.02452307,0.006913078,0.000785529,0.004400921,0.003320419,0.3848747,0.03437787,0.4431361,0.04392385,0.04960563,0.003370983],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4188562,0.000290333,0.5642839,0.01200248,0.001450587,0.0007744464,0.0001424168,0.0001819081,0.002017709],"genre_scores_gemma":[0.9710297,0.0002414357,0.0278009,0.0003133073,0.0004090694,0.00003806445,0.00001574341,0.00004937107,0.0001024393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6981711,"threshold_uncertainty_score":0.8835651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2090117660412691,"score_gpt":0.4594599600764386,"score_spread":0.2504481940351695,"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."}}