{"id":"W4404918721","doi":"10.1016/j.econlet.2024.112098","title":"Does supply chain finance improve firms’ ESG performance?","year":2024,"lang":"en","type":"article","venue":"Economics Letters","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Business; Supply chain; Industrial organization; Financial system; Marketing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001506189,0.0002020228,0.0001770714,0.0001645071,0.0001617982,0.0005145139,0.0002565574,0.00005858363,0.00007955792],"category_scores_gemma":[0.00000634911,0.0001499853,0.00010148,0.0001706323,0.00006871096,0.001514413,0.0001226287,0.0001959918,0.001486242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006378894,"about_ca_system_score_gemma":0.00001817602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006865864,"about_ca_topic_score_gemma":0.00002545472,"domain_scores_codex":[0.9989561,0.00000147585,0.0002511814,0.0003718483,0.00004996005,0.0003694095],"domain_scores_gemma":[0.999662,0.00001698999,0.00008124901,0.0002174459,0.00001355252,0.000008779363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001919824,0.0001230816,0.1291704,0.002473045,0.0001725055,0.0001591193,0.0007265017,0.004343978,0.003597847,0.1245551,0.1441793,0.5903071],"study_design_scores_gemma":[0.0002613386,0.00001327464,0.02482014,0.0001524401,0.00002170931,0.000003803744,0.00002166415,0.06136072,0.0004120571,0.001679975,0.9106964,0.0005564541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796594,0.0001356246,0.00006424205,0.009928971,0.005089595,0.0001529357,0.000005925917,0.0001815449,0.004781783],"genre_scores_gemma":[0.986239,0.0001830233,0.0000653162,0.007541704,0.004472104,0.00003219015,0.00001960988,0.00003968431,0.001407434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7665172,"threshold_uncertainty_score":0.9992912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004501948445719947,"score_gpt":0.1597360609061845,"score_spread":0.1552341124604645,"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."}}