{"id":"W6929877502","doi":"10.5281/zenodo.10580331","title":"PRICING STRATEGIES AND CREDIT DYNAMICS: UNDERSTANDING THE INTERCONNECTED WORLD OF INTEREST RATES, PRODUCT PRICES, AND TRADE CREDIT TERMS","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of New Brunswick","funders":"","keywords":"Trade credit; Interest rate; Credit card interest; Credit channel; Monetary policy; Credit crunch; Credit valuation adjustment; iTraxx; Context (archaeology)","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":[0.0007804857,0.0006417197,0.0006447831,0.0007821792,0.0005256765,0.004734623,0.001018374,0.002413842,0.005120682],"category_scores_gemma":[0.005116748,0.0004282625,0.0005971708,0.0009389145,0.002033138,0.007315458,0.001425726,0.001961362,0.0004675595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124407,"about_ca_system_score_gemma":0.0009194022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005624728,"about_ca_topic_score_gemma":0.002310336,"domain_scores_codex":[0.9997157,0.0001290594,0.00001174082,0.00006087412,0.00004254329,0.00003994965],"domain_scores_gemma":[0.9983606,0.0008059131,0.0004446453,0.0001129372,0.0001206607,0.000155263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005652029,0.00006666772,0.007305085,0.00007630942,0.00004935037,0.0003169387,0.000590508,0.08817176,0.001148066,0.8831989,0.001166471,0.01785348],"study_design_scores_gemma":[0.00001750375,0.00003279666,0.004146074,0.00003864594,0.00001748666,0.00009698285,0.000258955,0.2418481,0.0001287333,0.7496436,0.003738245,0.00003289072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.444044,0.009645216,0.4298331,0.02432806,0.0002151293,0.00008738429,0.0005640369,0.0001400336,0.09114297],"genre_scores_gemma":[0.9835898,0.003575888,0.008623041,0.00025247,0.0001688283,0.00003416354,0.00006232919,0.00001751906,0.003675883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005624728,"threshold_uncertainty_score":0.01713043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06626417980948562,"score_gpt":0.2800861774358521,"score_spread":0.2138219976263664,"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."}}