{"id":"W3187651912","doi":"10.3390/jrfm14080365","title":"What Information in Financial Statements Could Be Used to Predict the Risk of Equity Investment?","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Equity (law); Accrual; Earnings response coefficient; Economics; Profit margin; Earnings per share; Earnings growth; Business; Financial economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003991632,0.0008836481,0.0005064191,0.002991324,0.0003746002,0.003800923,0.0006286393,0.001296657,0.003521544],"category_scores_gemma":[0.02719156,0.0003032673,0.0007154619,0.002370666,0.00125029,0.008646425,0.0006651753,0.001444196,0.001125071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024426,"about_ca_system_score_gemma":0.0007346573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004137851,"about_ca_topic_score_gemma":0.002112495,"domain_scores_codex":[0.9988593,0.0004562474,0.00006077147,0.0001909756,0.000318819,0.0001138615],"domain_scores_gemma":[0.9882833,0.005517463,0.002980982,0.0008739956,0.00199201,0.0003522555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000579417,0.0003247223,0.3638411,0.0008229311,0.0006244323,0.00071339,0.001101783,0.01914768,0.00163463,0.1323412,0.03132656,0.4475422],"study_design_scores_gemma":[0.0001183132,0.0004613003,0.3115211,0.0023201,0.0005233437,0.001117131,0.0024156,0.1373128,0.005362674,0.4588361,0.07968111,0.0003303477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6580015,0.0312302,0.0836081,0.1099153,0.002427106,0.0002522237,0.009081502,0.0006325213,0.1048516],"genre_scores_gemma":[0.9793947,0.007010503,0.007199941,0.00143469,0.001194571,0.0000325613,0.001159476,0.00003096485,0.002542575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004137851,"threshold_uncertainty_score":0.02111006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369897520348655,"score_gpt":0.2496724702015194,"score_spread":0.2359734949980328,"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."}}