{"id":"W2553783292","doi":"10.5539/ijef.v8n12p44","title":"Modelling Discretionary: The Development of Automated Financial Service Industry","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obstacle; Investment (military); Finance; Portfolio; Process (computing); Service (business); Financial services; Portfolio investment; Project portfolio management; Investment portfolio; Investment management; Control (management); Financial plan; Business; Financial modeling; Application portfolio management; Economics; Computer science; Marketing; Management; Project management","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":[0.001441428,0.0005524239,0.0006274691,0.0008011127,0.0006258228,0.001732762,0.001875015,0.00109661,0.00320415],"category_scores_gemma":[0.005412185,0.0004682207,0.0008561747,0.0006639061,0.001425461,0.00273219,0.001498912,0.001560048,0.0005268453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287724,"about_ca_system_score_gemma":0.001674507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007778806,"about_ca_topic_score_gemma":0.00316636,"domain_scores_codex":[0.9988374,0.0003838224,0.00006275734,0.0002325349,0.0003811443,0.0001023359],"domain_scores_gemma":[0.9976809,0.001108249,0.0003302571,0.0004189237,0.0003319246,0.000129687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005720192,0.00008379248,0.002638437,0.0001034237,0.00003797439,0.0001642496,0.0003202119,0.6857597,0.002047088,0.2496833,0.001008974,0.05809563],"study_design_scores_gemma":[0.000004433315,0.00001492665,0.0001852616,0.00001108931,0.000004545058,0.00002458237,0.00001169795,0.9611458,0.0004532216,0.0362949,0.001842189,0.000007470729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02687801,0.0003863842,0.964624,0.0003989989,0.00003920508,0.00005001273,0.00006530221,0.0002844552,0.007273465],"genre_scores_gemma":[0.7106439,0.0007270221,0.2825885,0.000112848,0.0000966869,0.0001298511,0.0001490543,0.0001247878,0.005427395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007778806,"threshold_uncertainty_score":0.01546705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860682854572752,"score_gpt":0.2238745542372959,"score_spread":0.1952677256915684,"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."}}