{"id":"W3207268056","doi":"10.2139/ssrn.3935811","title":"Production Complementarities in Asset Management","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Production (economics); Asset management; Asset (computer security); Industrial organization; Economics; Finance; Computer science; Microeconomics; Computer security","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":[0.001777917,0.000612039,0.001265356,0.002044216,0.0009634969,0.005490592,0.0008638802,0.001690893,0.02082306],"category_scores_gemma":[0.01031478,0.0006834216,0.001054881,0.002202947,0.002408582,0.007506015,0.002543243,0.001591573,0.0009126528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462407,"about_ca_system_score_gemma":0.0007991201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002011433,"about_ca_topic_score_gemma":0.001335015,"domain_scores_codex":[0.9990473,0.0002737631,0.0000561476,0.0002366683,0.0002291662,0.000156931],"domain_scores_gemma":[0.9879234,0.009184335,0.0008662128,0.0012477,0.0004629456,0.000315397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000188472,0.0001040686,0.00193567,0.00009082096,0.00007577997,0.0002593894,0.0002595206,0.0268591,0.001333173,0.9421129,0.0009757987,0.02580529],"study_design_scores_gemma":[0.00002025263,0.00003453516,0.00195237,0.00002156289,0.00002248172,0.00005287613,0.00007077672,0.02736842,0.0002919664,0.9694223,0.0007276024,0.00001481981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6750408,0.002540055,0.1688932,0.003237609,0.0001817916,0.0000633299,0.0004019455,0.0003783487,0.1492629],"genre_scores_gemma":[0.9890245,0.000404728,0.002999278,0.00004459302,0.00007351339,0.00001848684,0.00007969802,0.00002673106,0.007328408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02082306,"threshold_uncertainty_score":0.06966007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234551146644285,"score_gpt":0.2251388712690174,"score_spread":0.2127933598025745,"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."}}