{"id":"W6902051383","doi":"10.6084/m9.figshare.29311026.v1","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":"Figshare","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Welfare; Demographics; Valuation (finance); Value (mathematics); Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002161384,0.000154452,0.0001700966,0.0005922167,0.0004688006,0.001139823,0.0004547435,0.0002975576,0.002644375],"category_scores_gemma":[0.009627412,0.0001221683,0.0002375587,0.0005949484,0.0006449005,0.0006235288,0.0005411302,0.0004449015,0.0002333327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480233,"about_ca_system_score_gemma":0.001006333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1259043,"about_ca_topic_score_gemma":0.2768693,"domain_scores_codex":[0.9986863,0.000743275,0.00005503299,0.0001249011,0.0002533981,0.0001372331],"domain_scores_gemma":[0.9913215,0.003346656,0.003343896,0.0003820305,0.0007272859,0.0008786947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005169832,0.0000686078,0.9935744,0.000008068811,0.00004003552,0.00003491838,0.0004766487,0.0002174707,0.0001253233,0.0001313191,0.0001354561,0.005135917],"study_design_scores_gemma":[9.239949e-7,0.0000456796,0.9983474,0.000006989645,0.000008915763,0.00002922814,0.0007177455,0.0004681469,0.00003096702,0.00008089952,0.0002595769,0.000003494054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979777,0.00006966387,0.0002548366,0.00009448831,0.0000014245,0.000008729407,0.0001227365,0.000001665225,0.001468814],"genre_scores_gemma":[0.9993353,0.00003122878,0.0001694908,0.00001516255,0.000001044019,0.000005421021,0.00008163845,8.926403e-7,0.0003597296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259043,"threshold_uncertainty_score":0.250343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04105647916682343,"score_gpt":0.3901158099601531,"score_spread":0.3490593307933297,"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."}}