{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003606861,0.0005381753,0.0009492636,0.001003775,0.0004586558,0.001900394,0.00128443,0.001495819,0.002380227],"category_scores_gemma":[0.03033371,0.0004161691,0.000306119,0.00104032,0.0006732062,0.0030797,0.0009495007,0.001428832,0.0003583442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008507926,"about_ca_system_score_gemma":0.001149234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208139,"about_ca_topic_score_gemma":0.002136641,"domain_scores_codex":[0.9975215,0.001023158,0.0001346624,0.0005588713,0.000415191,0.0003465826],"domain_scores_gemma":[0.983779,0.01237496,0.001233971,0.000856377,0.00143012,0.0003255304],"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":[0.00161184,0.001023204,0.02454151,0.0003000613,0.0002112407,0.000197755,0.000386395,0.4724485,0.009810259,0.06425937,0.003000587,0.4222093],"study_design_scores_gemma":[0.00003758719,0.0002319229,0.003507373,0.00003126641,0.0000493266,0.00004419652,0.0001008262,0.9706675,0.002721058,0.02186431,0.0007261055,0.00001846889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4274014,0.00111646,0.5502001,0.001330739,0.0001965441,0.0002188242,0.0001800211,0.0008250498,0.01853074],"genre_scores_gemma":[0.9769478,0.00009891141,0.02176922,0.00007074538,0.00003907378,0.00004617327,0.00003770131,0.00001781894,0.000972516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003606861,"threshold_uncertainty_score":0.0190751,"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."}}