{"id":"W4386750279","doi":"10.1016/j.jveb.2023.09.001","title":"Using discrete behavioral analyses to evaluate pain and learning","year":2023,"lang":"en","type":"article","venue":"Journal of Veterinary Behavior","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health PEI","funders":"","keywords":"Psychology; Artificial intelligence; Cognitive psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001656949,0.0002301035,0.0004518162,0.0003226297,0.000262114,0.00005659918,0.0002101241,0.0001173024,0.0005713512],"category_scores_gemma":[0.00005944802,0.0001724856,0.0002013884,0.0005269103,0.00009876237,0.0001347759,0.0001618007,0.0005071047,0.00008084127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004346489,"about_ca_system_score_gemma":0.00001153167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009120136,"about_ca_topic_score_gemma":0.000002240824,"domain_scores_codex":[0.9976626,0.0007210984,0.0005841395,0.000279045,0.0003327346,0.0004203578],"domain_scores_gemma":[0.9990449,0.0001270684,0.0002814241,0.0001646106,0.0001280051,0.0002539769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001057323,0.0007841007,0.3931929,0.00001994934,0.0001468139,0.007705119,0.00497327,0.0001252467,0.2885393,0.0000137787,0.002106835,0.3013354],"study_design_scores_gemma":[0.0008165967,0.0104353,0.9779645,0.00008297604,0.0005055942,0.001272785,0.003269506,0.00002157264,0.00005534775,0.00002510346,0.005216043,0.0003346859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980802,0.0003742473,0.0001925179,0.0001888963,0.0007896322,0.0001816185,0.000009674355,0.00005780397,0.0001254243],"genre_scores_gemma":[0.9975696,0.00002717075,0.001371308,0.0001051151,0.0001899961,0.0000276882,0.000002860036,0.00002857741,0.0006776738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5847716,"threshold_uncertainty_score":0.703376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.676570787780103,"score_gpt":0.5504452410296689,"score_spread":0.1261255467504342,"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."}}