{"id":"W3093383335","doi":"10.51291/2377-7478.1207","title":"Anthropogenic suffering of farmed animals: the other side of zoonoses","year":2020,"lang":"en","type":"article","venue":"Animal Sentience","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Veterinary Medical Association","funders":"","keywords":"Panacea (medicine); Animal welfare; Production (economics); Welfare; Business; Factory (object-oriented programming); Agriculture; Consumption (sociology); Animal husbandry; Human health; Outbreak; Environmental health; Medicine; Biology; Political science; Ecology; Economics; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001397509,0.00008523579,0.0002413713,0.00002263672,0.00004151504,0.00000684827,0.0001430066,0.00002792985,0.0005028282],"category_scores_gemma":[0.0002238142,0.00005640873,0.0001021701,0.0002745515,0.0002219104,0.00005027713,0.00005675408,0.00007759983,0.00001141365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009635459,"about_ca_system_score_gemma":0.0001587268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005983132,"about_ca_topic_score_gemma":0.0000102,"domain_scores_codex":[0.999049,0.00003799989,0.0002944796,0.0001683691,0.0002500405,0.000200122],"domain_scores_gemma":[0.999378,0.00008078156,0.0001272844,0.0001718999,0.00007798236,0.0001640728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003256177,0.001149279,0.3861899,0.003171453,0.0004380028,0.00009325478,0.01096471,0.00004288425,0.4943064,0.03173481,0.001966365,0.06668676],"study_design_scores_gemma":[0.001764109,0.003933078,0.8804843,0.0003050918,0.0002720057,0.00003349137,0.01200108,0.003998697,0.06309128,0.0001521262,0.03366012,0.0003046107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910649,0.0006974698,0.0001764455,0.004116877,0.00004344196,0.0002105206,0.00001913555,0.00002153732,0.003649689],"genre_scores_gemma":[0.9985227,0.00007084959,0.0001954758,0.001075018,0.00009723027,0.00000270782,0.000001311825,0.00001100394,0.00002369284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4942944,"threshold_uncertainty_score":0.5505616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05338846726788733,"score_gpt":0.3191759002518691,"score_spread":0.2657874329839818,"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."}}