{"id":"W4308142711","doi":"10.1098/rsos.221083","title":"Waking inactivity as a welfare indicator in laboratory mice: investigating postures, facial expressions and depression-like states","year":2022,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Learned helplessness; Psychology; Depression (economics); Welfare; Affect (linguistics); Audiology; Developmental psychology; Medicine; Communication","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001148967,0.000195238,0.0002582872,0.00005598648,0.004184274,0.0002583295,0.001094612,0.00005706205,0.0002409758],"category_scores_gemma":[0.0002606478,0.0001797764,0.00005236501,0.0006861063,0.0006944982,0.0005704327,0.00588828,0.0005750263,0.000005085306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003271145,"about_ca_system_score_gemma":0.0003572033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003246846,"about_ca_topic_score_gemma":0.0000336382,"domain_scores_codex":[0.9975713,0.0001700178,0.0002396155,0.0007305454,0.0008105083,0.0004779361],"domain_scores_gemma":[0.9992453,0.00008384336,0.0001584483,0.0002349936,0.00009192136,0.000185464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102442,0.0001984304,0.8782362,0.00002854292,0.00001332681,0.00007882418,0.02907881,0.00005566017,0.08736221,0.0001583605,0.002471553,0.002215593],"study_design_scores_gemma":[0.0004373659,0.0001839981,0.9588291,0.0000377411,0.00001039783,0.00001297008,0.03559669,0.0003997668,0.0004216411,0.00007979717,0.003688876,0.0003016254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974766,0.0002764007,0.000004170239,0.000471091,0.0001636489,0.0004197211,0.0001564708,0.00004931154,0.0009825383],"genre_scores_gemma":[0.9983451,0.00001317593,0.0007563576,0.0006016492,0.00002449192,0.0001924764,0.000007751413,0.00001617636,0.0000428093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08694057,"threshold_uncertainty_score":0.9971122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322832158330819,"score_gpt":0.3479107841726684,"score_spread":0.3156275683395864,"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."}}