{"id":"W2778376468","doi":"10.2139/ssrn.3084318","title":"Practice Makes Perfect: Judge Experience and Bankruptcy Outcomes","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Insolvency and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Bankruptcy; Law and economics; Actuarial science; Law; Business; Economics; Political science","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":[0.007872925,0.0002207593,0.0003599295,0.001622816,0.001499376,0.006096334,0.0006767913,0.003112556,0.008041007],"category_scores_gemma":[0.1133375,0.0002448796,0.0002062356,0.0007971305,0.003011198,0.00481075,0.003215682,0.002424698,0.001147484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009775059,"about_ca_system_score_gemma":0.0009327075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002256288,"about_ca_topic_score_gemma":0.005202142,"domain_scores_codex":[0.9943464,0.002778934,0.0004258265,0.0003819914,0.001195067,0.0008718075],"domain_scores_gemma":[0.9213903,0.03939627,0.01756325,0.002836362,0.006929621,0.0118843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001494185,0.001930021,0.8189555,0.0001164916,0.000183993,0.002370179,0.08805062,0.0007253719,0.001466043,0.01323249,0.01204654,0.0594287],"study_design_scores_gemma":[0.0002047759,0.001741235,0.7973766,0.0003603401,0.0001153456,0.002632852,0.139907,0.002805193,0.001326275,0.03326933,0.01995887,0.0003021169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748268,0.0004393429,0.000243906,0.002135801,0.00006846515,0.00001608241,0.00006372142,0.00001367556,0.02219217],"genre_scores_gemma":[0.9986743,0.00009002448,0.00004648936,0.0001971771,0.00004011071,0.000005178723,0.00004101502,0.000009959647,0.000895689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008041007,"threshold_uncertainty_score":0.04163653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561027863974224,"score_gpt":0.2623534453064052,"score_spread":0.246743166666663,"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."}}