{"id":"W4395689216","doi":"10.55041/ijsrem31939","title":"ARTIFICIAL INTELLIGENCE ADOPTION IN INVESTMENT MANAGEMENT COMPANIES","year":2024,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Investment (military); Knowledge management; Industrial organization; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007946248,0.0001508737,0.0001691326,0.001757134,0.001608623,0.005804114,0.0007659526,0.001082358,0.00215844],"category_scores_gemma":[0.02461618,0.0002000432,0.0001656855,0.002155781,0.001519751,0.003113031,0.001989546,0.002017921,0.0002148224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006785258,"about_ca_system_score_gemma":0.003989852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196513,"about_ca_topic_score_gemma":0.01488125,"domain_scores_codex":[0.9914124,0.003657501,0.000349546,0.0006722329,0.002451195,0.001457072],"domain_scores_gemma":[0.9633366,0.01911667,0.008572073,0.001056898,0.00354607,0.004371683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003140128,0.000948942,0.6745819,0.000229203,0.00008932071,0.001480245,0.05325784,0.002167225,0.002018738,0.04434402,0.006778469,0.21379],"study_design_scores_gemma":[0.00004201029,0.0006668466,0.7750167,0.0005182957,0.00005858205,0.0008267534,0.1281572,0.01027961,0.002166488,0.006141463,0.07602485,0.0001013663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809698,0.0004967163,0.000514281,0.005027364,0.00001841947,0.00002353669,0.00003578626,0.00001252319,0.01290152],"genre_scores_gemma":[0.998333,0.0002985492,0.0001775682,0.0003228995,0.00001333051,0.000007208858,0.00002738912,0.000003096213,0.0008170067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196513,"threshold_uncertainty_score":0.04923075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2563220799280062,"score_gpt":0.4452561411516352,"score_spread":0.188934061223629,"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."}}