{"id":"W1575717214","doi":"10.1002/9780470979600.ch5","title":"Animals under Strain: Life is Stressful","year":2011,"lang":"en","type":"other","venue":"","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stressor; Anticipation (artificial intelligence); Environmental stress; Infertility; Stress (linguistics); Strain (injury); Ecology; Biology; Computer science; Neuroscience; Genetics; Anatomy; Artificial intelligence; Pregnancy","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":[0.0001720345,0.0002909742,0.0002099612,0.0003514569,0.0003130513,0.0007888047,0.0001916872,0.0004026592,0.06230351],"category_scores_gemma":[0.0001245492,0.00008309611,0.00009465783,0.0004433028,0.000405546,0.0004745862,0.0003979669,0.000508606,0.01474847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021678,"about_ca_system_score_gemma":0.0002984358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007472379,"about_ca_topic_score_gemma":0.003207041,"domain_scores_codex":[0.9999366,0.000006212463,0.000003988844,0.00001015772,0.00003683851,0.000006221231],"domain_scores_gemma":[0.9999454,0.000009921044,0.00000854728,0.000008023777,0.00001397438,0.00001409581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006460476,0.0001139613,0.001722443,0.0004320999,0.000007679578,0.0001690665,0.000330161,0.0001761433,0.02792284,0.02693785,0.2350346,0.7070885],"study_design_scores_gemma":[0.000002368808,0.00004445985,0.006053512,0.0001043029,0.00000324179,0.000166588,0.0001534433,0.00003815144,0.001656393,0.001912095,0.9898604,0.000005074412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02282931,0.009532039,0.007087593,0.00732166,0.003043279,0.00007343329,0.002751618,0.0006347076,0.9467264],"genre_scores_gemma":[0.0260346,0.02299697,0.006908281,0.002373085,0.0008379972,0.00009714408,0.00222762,0.0001929584,0.9383313],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06230351,"threshold_uncertainty_score":0.208426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381428078641455,"score_gpt":0.2168531156936196,"score_spread":0.2030388349072051,"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."}}