{"id":"W2466537026","doi":"10.2527/af.2015-0027","title":"Turning science into policy: The case of farm animal welfare in Canada","year":2015,"lang":"en","type":"article","venue":"WBI Studies Repository","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animal welfare; Welfare; Political science; Environmental ethics; Public economics; Public administration; Biology; Economics; Ecology; Law; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000363099,0.0001848431,0.0003223984,0.0001122074,0.0008859887,0.00001882858,0.0002976342,0.00002682456,0.000001586506],"category_scores_gemma":[0.000343118,0.0001270435,0.00004722416,0.0005346357,0.0008114573,0.00009899496,0.0006332044,0.0001887106,0.000001269175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394265,"about_ca_system_score_gemma":0.001019161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9289975,"about_ca_topic_score_gemma":0.7164837,"domain_scores_codex":[0.9985077,0.00008907352,0.0003772601,0.0003133911,0.0003508169,0.0003617823],"domain_scores_gemma":[0.9990091,0.00008422735,0.0001415367,0.0003126639,0.0003615734,0.00009092747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001194202,0.0002300013,0.7225772,0.0003546253,0.000453685,0.05337543,0.1218589,0.00009273973,0.0753949,0.009102168,0.003599024,0.01176708],"study_design_scores_gemma":[0.000581571,0.0008613726,0.7076212,0.0000805852,0.00007280814,0.004038319,0.2808888,0.00005826037,0.002017383,0.00006683007,0.00330728,0.0004056538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860742,0.003538065,4.194972e-7,0.00112734,0.0004417745,0.0001541768,0.000005707631,0.00002305583,0.00863525],"genre_scores_gemma":[0.9996254,0.00002226702,0.00004152245,0.00006023634,0.0001401853,0.00003380476,3.133739e-7,0.00001316749,0.00006312775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2125138,"threshold_uncertainty_score":0.6814399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05766642280656393,"score_gpt":0.3558376739603235,"score_spread":0.2981712511537595,"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."}}