{"id":"W3192797517","doi":"","title":"Ethics in financial planning: Analysis of ombudsman decisions using codes of ethics and fiduciary duty standards","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Ombudsman and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Fiduciary; Due diligence; Duty; Accounting; Business; Misconduct; Complaint; Accounting management; Conflict of interest; Ethical code; Public relations; Finance; Actuarial science; Political science; Law; Accounting information system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00111528,0.00008879752,0.0003588098,0.0002534687,0.0004125948,0.00004020699,0.0001636336,0.00035864,0.01294094],"category_scores_gemma":[0.0151063,0.00008855456,0.0001103653,0.0009523368,0.0001019014,0.0001080029,0.0001004053,0.0006445812,0.000002190106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007101128,"about_ca_system_score_gemma":0.002090144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004237599,"about_ca_topic_score_gemma":0.03349444,"domain_scores_codex":[0.9980993,0.0004652434,0.000311347,0.0002166333,0.0007169293,0.000190496],"domain_scores_gemma":[0.996879,0.002032242,0.0001617369,0.0001753766,0.0006756043,0.0000760744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001699876,0.0006911458,0.05220326,0.001233292,0.0008749837,0.0005084915,0.828191,0.005149876,0.0005601428,0.06398228,0.04297015,0.003465374],"study_design_scores_gemma":[0.001806893,0.0001774408,0.7416748,0.01540686,0.001115978,0.000004379074,0.02932552,0.003595539,0.004349988,0.02802297,0.1731478,0.001371785],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870245,0.001404664,0.00002703359,0.0003443634,0.0000928068,0.0001627721,0.1225481,0.000026216,0.005149092],"genre_scores_gemma":[0.996578,0.00004573676,0.0003053796,0.0001074676,0.00005496767,0.000002896952,0.002794816,0.000006852981,0.0001038903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7988655,"threshold_uncertainty_score":0.9931899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2701194800982885,"score_gpt":0.4584642894339271,"score_spread":0.1883448093356386,"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."}}