{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005414207,0.0001119759,0.0001839335,0.0004174182,0.001346033,0.000009101554,0.0002769378,0.00001975493,0.002016836],"category_scores_gemma":[0.0001185773,0.0001277712,0.00007274073,0.000207547,0.0001623865,0.0003687573,0.0002442139,0.0005197519,0.00000715343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914684,"about_ca_system_score_gemma":0.0003975178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008369702,"about_ca_topic_score_gemma":0.000187072,"domain_scores_codex":[0.9987013,0.0002132704,0.0002559574,0.0001485829,0.0003942784,0.0002866605],"domain_scores_gemma":[0.9992905,0.00008786538,0.0002554113,0.0001341863,0.0001615208,0.000070542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005714054,0.00015355,0.0003087747,0.00005627695,0.0001381024,0.00000864596,0.06434338,0.0009770495,0.006351908,0.9146696,0.008557458,0.003863902],"study_design_scores_gemma":[0.000534976,0.001310263,0.0001394962,0.00002761223,0.00005251043,0.000006386528,0.01117996,0.01216615,0.0002105797,0.0003480116,0.9738495,0.0001745161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528961,0.00004369884,0.01014653,0.0007103169,0.0002086597,0.001004392,0.001963933,0.0001826606,0.03284368],"genre_scores_gemma":[0.986189,0.000006052729,0.001295251,0.0004118011,0.00006542211,0.000007352738,0.000311572,0.00001183615,0.01170173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9652921,"threshold_uncertainty_score":0.9999541,"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."}}