{"id":"W4323521421","doi":"10.2139/ssrn.4376626","title":"Suppliers’ ESG and Disclosure of Customers’ Information","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Marketing; Industrial organization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006105645,0.0001356062,0.0002144221,0.001444719,0.0009324352,0.003674851,0.0005508814,0.002648878,0.01020533],"category_scores_gemma":[0.06017774,0.0002347801,0.0002225273,0.00261439,0.001350112,0.003735811,0.001390138,0.001885666,0.0007666806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455232,"about_ca_system_score_gemma":0.001256771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223522,"about_ca_topic_score_gemma":0.002371748,"domain_scores_codex":[0.9950945,0.002138711,0.0005441283,0.000312751,0.001306974,0.0006029336],"domain_scores_gemma":[0.8845568,0.08063793,0.02300074,0.005638532,0.005467686,0.0006983699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001684483,0.0004948511,0.3306028,0.0004454682,0.0001352236,0.00228592,0.02245578,0.007071859,0.002296204,0.460121,0.02276971,0.1496367],"study_design_scores_gemma":[0.0001751926,0.0006442905,0.3720709,0.0006564922,0.0002639582,0.003615759,0.02216416,0.02835767,0.01028882,0.4726598,0.08888184,0.0002210469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7661877,0.001728737,0.004643922,0.01371312,0.0001179461,0.00004413162,0.0006941797,0.00006656582,0.2128037],"genre_scores_gemma":[0.9957185,0.0002037928,0.0002216279,0.0002863508,0.00005232007,0.000005351538,0.00006810638,0.000005117818,0.003438676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020533,"threshold_uncertainty_score":0.03414023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009440682826405526,"score_gpt":0.2134880592621984,"score_spread":0.2040473764357928,"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."}}