{"id":"W6930905980","doi":"10.5281/zenodo.15386811","title":"HOW INTEREST RATES INFLUENCE PRICING AND TRADE CREDIT POLICIES: A COMPREHENSIVE STUDY","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Trade credit; Monetary policy; Credit crunch; Interest rate; Credit card interest; Credit channel; Credit valuation adjustment; Empirical evidence; Credit history","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":[0.0009500617,0.0002857399,0.0005917865,0.0006755852,0.0002902209,0.00306145,0.0004031841,0.001031074,0.00446357],"category_scores_gemma":[0.006874223,0.0002180039,0.0005223321,0.001017653,0.0006225004,0.001863506,0.0007564616,0.000911243,0.0005626254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000487436,"about_ca_system_score_gemma":0.0004799748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003448814,"about_ca_topic_score_gemma":0.001668712,"domain_scores_codex":[0.9996302,0.0001560377,0.0000265783,0.00005275347,0.00006801338,0.00006637243],"domain_scores_gemma":[0.994289,0.00338956,0.001478539,0.0003265901,0.0003032394,0.0002130957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001299902,0.001251953,0.4836804,0.000722055,0.001439108,0.001908227,0.002437954,0.1074307,0.01061469,0.1639464,0.007404343,0.2178644],"study_design_scores_gemma":[0.0001635259,0.0004183596,0.6641657,0.0003157607,0.0008922516,0.0006405393,0.002394963,0.1488092,0.004216929,0.1489219,0.0288699,0.0001908663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394107,0.006242118,0.006842725,0.001868094,0.0000476823,0.00003231485,0.0003000274,0.0000548767,0.04520145],"genre_scores_gemma":[0.9967644,0.001623289,0.0002690424,0.00007754883,0.00005297209,0.000003981258,0.00005160587,0.0000106532,0.001146452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00446357,"threshold_uncertainty_score":0.01493216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481982028670588,"score_gpt":0.2429478186083844,"score_spread":0.2081279983216785,"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."}}