{"id":"W4407248450","doi":"10.1007/978-3-658-46481-3_19","title":"Künstliche Intelligenz im Future-Skills-Management der Finanzbranche","year":2024,"lang":"de","type":"book-chapter","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Psychology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008731368,0.0003954121,0.0002306523,0.0009432992,0.001295741,0.006793873,0.0004899185,0.001150551,0.008985607],"category_scores_gemma":[0.001522532,0.0002125628,0.0001557942,0.001349914,0.00236336,0.006188645,0.002037238,0.001702657,0.002340412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002541353,"about_ca_system_score_gemma":0.002928597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006866368,"about_ca_topic_score_gemma":0.009156972,"domain_scores_codex":[0.9995475,0.0001363786,0.00001734586,0.00005952074,0.0001523254,0.00008681187],"domain_scores_gemma":[0.9996895,0.0001524094,0.00002541121,0.00003123147,0.00005671211,0.00004481585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001861878,0.00003030589,0.001417298,0.0000930798,0.000006010454,0.0001358845,0.006430446,0.001563882,0.0007535082,0.8000379,0.01436955,0.1751435],"study_design_scores_gemma":[0.000004409274,0.00001921351,0.002922302,0.0003520805,0.000006686584,0.0002279939,0.004665792,0.002345924,0.0005714463,0.5336416,0.4552273,0.00001516536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04199574,0.01471529,0.03130382,0.0148594,0.0003835224,0.00002127513,0.0001677988,0.0001545121,0.8963987],"genre_scores_gemma":[0.6439254,0.01422485,0.01948778,0.001016436,0.0003328697,0.00006358142,0.0004624524,0.0001397908,0.3203469],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008985607,"threshold_uncertainty_score":0.03005987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320313558471835,"score_gpt":0.2181451156547466,"score_spread":0.2049419800700282,"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."}}