{"id":"W4283641014","doi":"10.3390/jrfm15070282","title":"Identification of Risk Factors in Business Valuation","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Business valuation; Actuarial science; Income approach; Risk analysis (engineering); Business; Pre-money valuation; Market value; Risk assessment; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003551192,0.00004358256,0.00008767065,0.000240512,0.00005400978,0.000009807239,0.00004623162,0.00001548935,0.00001404793],"category_scores_gemma":[0.00003328304,0.00004165852,0.0000267379,0.0002721102,0.000009700871,0.00009933819,0.00001409114,0.0001180056,2.961639e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004838395,"about_ca_system_score_gemma":0.000007206081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003000032,"about_ca_topic_score_gemma":0.00001863505,"domain_scores_codex":[0.9994036,0.00003376999,0.0003255579,0.00004085798,0.0001525705,0.000043618],"domain_scores_gemma":[0.999677,0.0000152488,0.0002015807,0.00004297171,0.00005250111,0.00001067688],"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":[0.0000677092,0.00007265323,0.1030092,0.00006977852,0.00002553002,0.000004624609,0.002351649,0.1740117,0.0004963761,0.0108846,0.0002591098,0.708747],"study_design_scores_gemma":[0.0003747882,0.00002439928,0.9847016,0.00001301316,0.00004982193,0.00000332737,0.001034665,0.003659592,0.0003032117,0.006167765,0.003612132,0.00005572595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176974,0.0002399229,0.08124411,0.000007269341,0.0006673565,0.00005368116,0.00001159509,0.000005045939,0.00007356334],"genre_scores_gemma":[0.9983929,0.001399922,0.0001538035,0.000001551088,0.00003480269,0.000003580251,0.000001982536,0.000003543288,0.000007885381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8816923,"threshold_uncertainty_score":0.1698785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006847556807651239,"score_gpt":0.1963183126672477,"score_spread":0.1894707558595964,"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."}}