{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008325072,0.001285866,0.001069012,0.005523075,0.001422692,0.004992907,0.0009863781,0.0009955064,0.003471428],"category_scores_gemma":[0.02486441,0.0005763565,0.001311711,0.004000151,0.001752604,0.004840002,0.00233513,0.001866812,0.0003483148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002627816,"about_ca_system_score_gemma":0.003237086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00444365,"about_ca_topic_score_gemma":0.003001147,"domain_scores_codex":[0.9929336,0.002628018,0.0004829791,0.0004407994,0.003069141,0.0004455172],"domain_scores_gemma":[0.9864495,0.008866863,0.001530043,0.0005658099,0.002356958,0.0002308448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002843377,0.0003600268,0.03649025,0.001070815,0.0003115019,0.001452309,0.004021968,0.2196063,0.005721071,0.4250112,0.002376958,0.3032932],"study_design_scores_gemma":[0.00003653068,0.0003126216,0.02371413,0.0009035271,0.0002081347,0.0007644726,0.004552942,0.514846,0.004586788,0.4310401,0.01876595,0.0002687165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1091678,0.002073641,0.8538093,0.001137007,0.0001122645,0.0007791363,0.0001561861,0.0001780791,0.03258654],"genre_scores_gemma":[0.8291274,0.001643288,0.1657394,0.00005149346,0.00005970533,0.000298161,0.0001241005,0.000041899,0.002914546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008325072,"threshold_uncertainty_score":0.04402769,"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."}}