{"id":"W2913161133","doi":"10.3166/isi.23.5.185-200","title":"Design and application of a wavelet neural network program for evaluation of goodwill value in corporate intellectual capital","year":2018,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Goodwill; Intellectual capital; Wavelet; Value (mathematics); Business; Accounting; Finance; Computer science; Artificial intelligence; Machine learning","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":[0.001441854,0.0001265303,0.0002172123,0.0003430509,0.0001112176,0.00008537368,0.0001036523,0.00007299861,0.0000303696],"category_scores_gemma":[0.0003849291,0.0001152201,0.00004855493,0.0007598165,0.0001827827,0.002187833,0.00004595391,0.00005192103,0.00001790448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005767819,"about_ca_system_score_gemma":0.0000386119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002730246,"about_ca_topic_score_gemma":0.00005499762,"domain_scores_codex":[0.9988307,0.00002706764,0.0005935046,0.0001050121,0.0002531762,0.0001905126],"domain_scores_gemma":[0.9980407,0.00008961579,0.0006631517,0.000112989,0.001085239,0.000008278783],"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":[0.001127997,0.0001477872,0.00674146,0.00171644,0.0001246719,1.186834e-7,0.01580579,0.07564346,0.0004945315,0.01278621,0.0009461159,0.8844654],"study_design_scores_gemma":[0.0005916936,0.0002069898,0.00313246,0.00006788765,0.00008495028,0.000001386541,0.0006888895,0.9808568,0.0007010954,0.01324854,0.0002914915,0.0001278208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305363,0.00006749405,0.06689182,0.0000134107,0.00009181291,0.001276954,0.000002873339,0.00003208645,0.001087304],"genre_scores_gemma":[0.9972256,0.000007795456,0.002118315,0.00006954167,0.0002046017,0.0002250533,0.0001370164,0.000008304009,0.000003785365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9052134,"threshold_uncertainty_score":0.4698541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055196288563813,"score_gpt":0.248869185558139,"score_spread":0.2183172226725009,"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."}}