{"id":"W6931936760","doi":"10.5683/sp2/iez8ti","title":"Figure S3","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Histogram; Construct (python library); Replicate; Plot (graphics); Pattern recognition (psychology); Expression (computer 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001434972,0.002173953,0.001862589,0.004082574,0.001696805,0.004039251,0.002538758,0.001906509,0.4835885],"category_scores_gemma":[0.008498344,0.0009234907,0.001545229,0.006508628,0.0005327392,0.002137782,0.00212136,0.002191462,0.4218728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823359,"about_ca_system_score_gemma":0.003559399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01929212,"about_ca_topic_score_gemma":0.03593098,"domain_scores_codex":[0.9984391,0.0001600777,0.0001679656,0.0005583981,0.0004480082,0.000226488],"domain_scores_gemma":[0.9966666,0.0009537001,0.0002865939,0.0007155961,0.001087941,0.0002895389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006026316,0.00001652507,0.001034706,0.0008776684,0.0000347851,0.00003109492,0.00002099904,0.0002378872,0.0003003931,0.0005957476,0.9931833,0.00360667],"study_design_scores_gemma":[0.00009366115,0.00001629648,0.00277204,0.000289772,0.00003013196,0.00006334543,0.00005263945,0.0002009461,0.0003809802,0.001364394,0.994714,0.00002175137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005602701,0.0000376416,0.000121587,0.00003515385,0.00002939008,0.00001201569,0.9979842,0.0004409201,0.001283049],"genre_scores_gemma":[0.0002539379,0.0000554519,0.0004302544,0.00007728438,0.000009318538,0.00005731791,0.9972657,0.0002004142,0.001650462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5164115,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378995423702664,"score_gpt":0.2188622128147047,"score_spread":0.2050722585776781,"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."}}