{"id":"W7028455807","doi":"","title":"Evaluating information content of earnings calls to predict bankruptcy using machine learnings techniques","year":2022,"lang":"en","type":"article","venue":"Dalarna University College Electronic Archive","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Earnings; Financial statement; Work (physics); Perspective (graphical); Financial ratio; Quarter (Canadian coin); Bankruptcy prediction","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":[0.00105575,0.0009235259,0.0008168871,0.006279045,0.0004047203,0.001326475,0.0003988555,0.0009653691,0.001720254],"category_scores_gemma":[0.00408287,0.0001437622,0.000750639,0.002384713,0.0002815092,0.001276192,0.0004451382,0.0008713919,0.0009331453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005637995,"about_ca_system_score_gemma":0.0006425988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005304322,"about_ca_topic_score_gemma":0.004314751,"domain_scores_codex":[0.9992818,0.0001027755,0.00010202,0.0001216227,0.0002727767,0.000119032],"domain_scores_gemma":[0.9976295,0.001370624,0.0003271047,0.00009438574,0.0004656435,0.0001128667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001750979,0.001707706,0.2096286,0.0005573505,0.0004686241,0.001339332,0.00041404,0.08134374,0.01337228,0.001772539,0.01710903,0.6705358],"study_design_scores_gemma":[0.00003488258,0.0004144387,0.07364278,0.0001134807,0.0002089937,0.0002973393,0.0003741631,0.9132317,0.005709255,0.002137133,0.003791121,0.00004484949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040108,0.006982316,0.0675967,0.001755406,0.000470952,0.0002931666,0.005918018,0.001524121,0.01144852],"genre_scores_gemma":[0.9811175,0.001089695,0.01143563,0.0001272419,0.0002201136,0.00007198944,0.004088552,0.00002359458,0.00182562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006279045,"threshold_uncertainty_score":0.01054692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405218344621931,"score_gpt":0.2383259946662713,"score_spread":0.1978041602040782,"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."}}