{"id":"W4411226904","doi":"10.1080/10888705.2025.2515856","title":"The Value of a Statistical Life of a Cat: Owner Demographics and Management Practices Impacting Willingness to Pay for Welfare Measures","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Animal Welfare Science","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Demographics; Welfare; Willingness to pay; Value (mathematics); Business; Actuarial science; Public economics; Demographic economics; Economics; Statistics; Demography; Mathematics; Microeconomics; Sociology; Market economy","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":[0.002140062,0.0001557027,0.0001750241,0.0006601291,0.0004001437,0.001188356,0.0004392333,0.0002874287,0.002157422],"category_scores_gemma":[0.01318362,0.0001209141,0.0002309163,0.0006798413,0.0007163477,0.0007557084,0.0005713165,0.0004813509,0.0002015094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656323,"about_ca_system_score_gemma":0.001083427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1187988,"about_ca_topic_score_gemma":0.2260996,"domain_scores_codex":[0.9986808,0.0007526056,0.0000549708,0.0001194092,0.0002472477,0.0001449552],"domain_scores_gemma":[0.9877546,0.005261858,0.004531106,0.0004224718,0.0009593468,0.00107055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004617325,0.00006374917,0.9934173,0.000007454949,0.00003812075,0.00003461857,0.0003681075,0.0004746089,0.00009351088,0.0002107501,0.0001178,0.005127894],"study_design_scores_gemma":[0.000001163678,0.00004428317,0.9973813,0.00000830618,0.00000996142,0.00002963514,0.0008166296,0.00124338,0.00003289895,0.0001728019,0.000255648,0.000004132283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981983,0.00006500338,0.0002992138,0.0001012422,0.000001179616,0.000007440349,0.00009633198,0.000001382646,0.001229915],"genre_scores_gemma":[0.9994797,0.00002984792,0.0001422789,0.00001155601,0.00000104652,0.000003814738,0.00007260966,7.111466e-7,0.0002583774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1187988,"threshold_uncertainty_score":0.2362146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04716346716364481,"score_gpt":0.2762749873831526,"score_spread":0.2291115202195078,"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."}}