{"id":"W3026742170","doi":"10.1287/mnsc.2019.3539","title":"Product Market Peers in Lending","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Information asymmetry; Incentive; Business; Product (mathematics); Product market; Information sharing; Monetary economics; Industrial organization; Economics; Finance; Microeconomics","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":[0.002144139,0.0002081957,0.0003936512,0.001236413,0.001581377,0.003616658,0.000435593,0.001024549,0.01377483],"category_scores_gemma":[0.02456873,0.0002128198,0.0002252588,0.0009728901,0.001917375,0.003776653,0.002276624,0.001166958,0.001012328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008077699,"about_ca_system_score_gemma":0.0006387925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00326468,"about_ca_topic_score_gemma":0.002748298,"domain_scores_codex":[0.997807,0.000865315,0.0001324269,0.0003048997,0.0005928337,0.0002975636],"domain_scores_gemma":[0.9714518,0.008080254,0.01442191,0.0009577036,0.001615862,0.003472429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003436278,0.0008524354,0.9194302,0.00007168118,0.0000860075,0.001150924,0.01213196,0.0007946126,0.0007204274,0.01253099,0.002058078,0.04982913],"study_design_scores_gemma":[0.00009911597,0.0006042222,0.9273582,0.0001373397,0.0001515518,0.002656363,0.02019448,0.003394855,0.001035766,0.0173397,0.02696061,0.00006774416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762799,0.000494516,0.0007142356,0.001071788,0.00002261225,0.00002532058,0.0000458535,0.00001425158,0.02133158],"genre_scores_gemma":[0.9974545,0.000176229,0.0001325906,0.00008613046,0.00004790304,0.000004739584,0.00002344881,0.000007650464,0.002066768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377483,"threshold_uncertainty_score":0.04608142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367895515668436,"score_gpt":0.2114683118325928,"score_spread":0.1877893566759084,"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."}}