{"id":"W4396915246","doi":"10.2139/ssrn.4828253","title":"Optimal AI Adoption in Investment Monitoring","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Investment (military); Business; Economics; Computer science; Political science; Law","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02252061,0.0001655591,0.0002228747,0.0007936642,0.0001391648,0.0005703486,0.0005821905,0.0000891169,0.00007909159],"category_scores_gemma":[0.00209134,0.0001261094,0.0001546547,0.001266944,0.00004282872,0.0005780081,0.00009607437,0.002561868,0.0001550232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771403,"about_ca_system_score_gemma":0.002027123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002499881,"about_ca_topic_score_gemma":0.00006801977,"domain_scores_codex":[0.9953327,0.000540758,0.0006851373,0.0004137609,0.001183282,0.001844325],"domain_scores_gemma":[0.9984977,0.0008911337,0.0001190627,0.0002584339,0.0001211676,0.0001124787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001006006,0.0000577129,0.02393273,0.000007751069,0.00008052172,0.00008117278,0.0007679375,0.005122698,0.0005692651,0.1553326,0.00058279,0.8133642],"study_design_scores_gemma":[0.0004284173,0.0003437392,0.01295719,0.0001910911,0.00002125931,0.001262687,0.002542844,0.01307621,0.0004105815,0.9587833,0.009709548,0.0002731234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8468577,0.01196905,0.1312891,0.001783978,0.00305749,0.0001706538,0.000001024692,0.00009400629,0.004776963],"genre_scores_gemma":[0.9884642,0.0005758422,0.006781246,0.00007412703,0.0007759075,0.000009913193,3.367421e-7,0.00002618116,0.003292184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8130911,"threshold_uncertainty_score":0.9997393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06848919278232293,"score_gpt":0.4057424965139138,"score_spread":0.3372533037315909,"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."}}