{"id":"W3184255817","doi":"10.1080/08927936.2021.1938409","title":"Giving to Animal Charities: A Nine-Country Study","year":2021,"lang":"en","type":"article","venue":"Anthrozoös","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animal welfare; Value (mathematics); Logistic regression; Welfare; China; Animal-assisted therapy; HUBzero; Demographic economics; Socioeconomics; Demography; Pet therapy; Political science; Biology; Sociology; Economics; Law; Medicine; Ecology","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":[0.001666002,0.0003595213,0.0004207424,0.001137917,0.002194573,0.001010509,0.0003549319,0.0004858933,0.001863208],"category_scores_gemma":[0.002602783,0.0004232839,0.0005234313,0.001918356,0.00107964,0.001043781,0.001780733,0.0009792855,0.0003958506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000754676,"about_ca_system_score_gemma":0.0007451142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02693883,"about_ca_topic_score_gemma":0.04776162,"domain_scores_codex":[0.9988972,0.000665653,0.00006612066,0.0001088289,0.00007345426,0.0001887735],"domain_scores_gemma":[0.9973737,0.0006976625,0.0008555442,0.0002673155,0.0002801202,0.0005256248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001100617,0.0002569187,0.9942552,0.00001527811,0.00004324763,0.0001706527,0.003844397,0.00002489255,0.0001187882,0.00005161882,0.0001286957,0.0009802601],"study_design_scores_gemma":[0.00002649425,0.0003788329,0.9721762,0.00003066401,0.00005574655,0.0003170223,0.02605341,0.0001546964,0.0001162603,0.00003882232,0.0006353913,0.00001635146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995981,0.00002513002,0.00003776675,0.00002055603,0.000001563164,0.00001610261,0.00008004215,3.931204e-7,0.0002203466],"genre_scores_gemma":[0.9994478,0.00008794408,0.00008859657,0.00005501375,0.000002004384,0.00003011861,0.0001593668,0.000001259765,0.0001279723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02693883,"threshold_uncertainty_score":0.05356407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045657320479119,"score_gpt":0.3720094787918416,"score_spread":0.3515529055870504,"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."}}