{"id":"W1978993187","doi":"10.1080/10888700801925513","title":"Caring During Crisis: Animal Welfare During Pandemics and Natural Disasters","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Animal Welfare Science","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"World Health Organization","keywords":"Animal welfare; Natural disaster; Government (linguistics); Pandemic; Public relations; Political science; Welfare; Economic growth; Coronavirus disease 2019 (COVID-19); Medicine; Geography; Ecology; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003876787,0.0004205464,0.0003275028,0.0004454893,0.008055824,0.002222023,0.0006774647,0.002305864,0.003659836],"category_scores_gemma":[0.003523635,0.000261872,0.0001709637,0.0003031398,0.003316753,0.001164539,0.00359939,0.002372068,0.0003364128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005006501,"about_ca_system_score_gemma":0.00549142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335417,"about_ca_topic_score_gemma":0.06720944,"domain_scores_codex":[0.9980754,0.001107107,0.00005028487,0.0001081362,0.0002033279,0.0004556855],"domain_scores_gemma":[0.9975682,0.0004338458,0.0002008152,0.00003372292,0.0002081991,0.001555088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007669352,0.001026557,0.03881174,0.002332502,0.00004361932,0.005353431,0.474528,0.0002670494,0.01284939,0.007432485,0.2376451,0.2189432],"study_design_scores_gemma":[0.00003296902,0.001733419,0.1064691,0.001101899,0.00002220965,0.002190621,0.5115906,0.0001399369,0.002524256,0.002897458,0.3712199,0.00007763404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6758215,0.02317975,0.0029652,0.241623,0.004958577,0.0008810789,0.0002336908,0.0001111295,0.05022595],"genre_scores_gemma":[0.9173207,0.02078787,0.004667795,0.03080684,0.001506299,0.0005369518,0.0001333234,0.00003644707,0.02420366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335417,"threshold_uncertainty_score":0.03632492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087282547540716,"score_gpt":0.2816875610953886,"score_spread":0.2708147356199814,"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."}}