{"id":"W4394580508","doi":"10.1016/j.applanim.2024.106249","title":"Opportunistically using a Chronic Unpredictable Stress study to investigate ‘inactive-but-awake’ behaviour as a potential welfare indicator in laboratory rats","year":2024,"lang":"en","type":"article","venue":"Applied Animal Behaviour Science","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Animal welfare; Chronic stress; Psychology; Welfare; Stress (linguistics); Pet therapy; HUBzero; Veterinary medicine; Medicine; Biology; Ecology; Neuroscience; Political 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003861363,0.0004661299,0.000410898,0.0008712175,0.0007745991,0.0008739597,0.001369096,0.0001169701,0.0002067761],"category_scores_gemma":[0.0002162963,0.0004588453,0.00007410366,0.00330047,0.0009290456,0.0006440785,0.0008188441,0.0006783445,0.0001486499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005748199,"about_ca_system_score_gemma":0.002574501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005785677,"about_ca_topic_score_gemma":0.00009139032,"domain_scores_codex":[0.9944237,0.0001478544,0.0006155947,0.001999805,0.001573958,0.001239041],"domain_scores_gemma":[0.9981906,0.00007609252,0.0001363459,0.0006318827,0.00009410545,0.0008709308],"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":[0.000234703,0.0007734672,0.09638388,0.00002456872,0.000004742787,0.00316548,0.0008496689,0.0001342397,0.8929762,0.004673117,0.00001203363,0.0007679116],"study_design_scores_gemma":[0.000891576,0.001768553,0.5636032,0.0001858415,0.0001395723,0.0001220626,0.004189061,0.003374792,0.424566,0.00007532381,0.0000440247,0.001040091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969894,0.00007092318,0.0001070789,0.0002251812,0.0003808391,0.001389171,0.0002800977,0.000266397,0.0002909045],"genre_scores_gemma":[0.9991157,0.00001664892,0.0001819746,0.0002257671,0.00009733787,0.0002293287,0.000003307156,0.00006369773,0.00006622299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4684102,"threshold_uncertainty_score":0.9997863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116932760006702,"score_gpt":0.3111876106984748,"score_spread":0.2800182830984078,"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."}}