{"id":"W2607816627","doi":"10.5539/ibr.v10n5p159","title":"Animal Mistreatment in Business: Ethical Challenges and Solutions","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm; Animal welfare; Animal rights; Reputation; Business; Value (mathematics); Order (exchange); Marketing; Political science; Law; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006398896,0.0001298805,0.000163954,0.0002161101,0.0006347604,0.0001863319,0.0004618197,0.0001542097,0.0001625607],"category_scores_gemma":[0.001091598,0.0001150869,0.00002749993,0.00009579325,0.0005435456,0.0002452079,0.0008511925,0.0004506975,0.00008078953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392446,"about_ca_system_score_gemma":0.00006635224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497754,"about_ca_topic_score_gemma":0.0004341107,"domain_scores_codex":[0.9983932,0.00009176479,0.0001864221,0.0003716194,0.0005984306,0.0003585858],"domain_scores_gemma":[0.9983393,0.000164257,0.00004725883,0.0003032388,0.001086274,0.00005966841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006716092,0.003132093,0.6150655,0.0005351357,0.0005073638,0.007549453,0.004921648,0.000008268192,0.04797576,0.1692297,0.004756611,0.1396024],"study_design_scores_gemma":[0.000522896,0.00009383015,0.9917863,0.0001012314,0.000004513781,0.00007550454,0.0002865523,0.00002829148,0.00001592183,0.001015318,0.005957404,0.0001122415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8606272,0.001907936,0.00001236769,0.1005515,0.0002524175,0.0002048702,0.00004157957,0.0000339836,0.03636817],"genre_scores_gemma":[0.9947991,0.004429431,0.00008166186,0.0000216653,0.0002210497,0.00009978755,0.00001319152,0.00001524579,0.0003188442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3767208,"threshold_uncertainty_score":0.4882128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4010964938911951,"score_gpt":0.4993012780019111,"score_spread":0.09820478411071604,"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."}}