{"id":"W7100641733","doi":"","title":"Trade credit and credit rationing in Canadian firms,” Bank of Canada Working Paper","year":2004,"lang":"en","type":"article","venue":"","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trade credit; Credit history; Credit rationing; Bank credit; Rationing; Credit reference; Credit card interest","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001890228,0.0003976355,0.0005186472,0.003294747,0.003748374,0.007065143,0.001097336,0.001908349,0.007184408],"category_scores_gemma":[0.01172168,0.0003944175,0.000580173,0.01024555,0.001987386,0.002073159,0.001162627,0.001820632,0.0003594183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08917239,"about_ca_system_score_gemma":0.125664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952843,"about_ca_topic_score_gemma":0.9976616,"domain_scores_codex":[0.998094,0.0001348435,0.00009852208,0.000128547,0.0006459779,0.000898108],"domain_scores_gemma":[0.9901444,0.001137671,0.00230959,0.0002145848,0.004509874,0.00168394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000397628,0.000114294,0.5885949,0.0006242575,0.0003035647,0.0007236722,0.004860663,0.002761086,0.0002816146,0.07136513,0.2602512,0.06972199],"study_design_scores_gemma":[0.00006160656,0.00002174699,0.8636627,0.0006745379,0.0002698594,0.0001540811,0.007000659,0.002727746,0.0004599236,0.005717958,0.1191571,0.00009200393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5676059,0.09937744,0.000510402,0.173581,0.0009509094,0.0001346702,0.03636599,0.00009252784,0.1213813],"genre_scores_gemma":[0.9486794,0.03080034,0.0002881574,0.001734248,0.0003123915,0.00001506001,0.004696712,0.00002533717,0.01344841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08917239,"threshold_uncertainty_score":0.646994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007842495044517858,"score_gpt":0.1693915378151607,"score_spread":0.1615490427706428,"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."}}