{"id":"W4392173106","doi":"10.2139/ssrn.4737332","title":"Simultaneous Search and Adverse Selection","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Selection (genetic algorithm); Adverse selection; Computer science; Artificial intelligence; Business; Actuarial science","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":[],"consensus_categories":[],"category_scores_codex":[0.001100524,0.00009097563,0.00007514279,0.0001396697,0.0002140737,0.0002322517,0.0002382512,0.00003808887,0.000009766388],"category_scores_gemma":[0.00003875509,0.00007487999,0.00004473095,0.0003140156,0.00001846903,0.0002727403,0.00005817191,0.001905305,0.00005430774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002492967,"about_ca_system_score_gemma":0.0008653766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005718555,"about_ca_topic_score_gemma":0.00006237943,"domain_scores_codex":[0.9982792,0.00008327755,0.0001115352,0.0002222957,0.0002099595,0.001093699],"domain_scores_gemma":[0.9996957,0.00009237169,0.00001541168,0.00008260578,0.00003879887,0.00007506534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004867556,0.0000139611,0.0001827231,0.00001038369,0.00005838514,0.00005473954,0.0003794776,0.003737429,0.0002674554,0.1877243,0.00003818141,0.8075281],"study_design_scores_gemma":[0.0001559598,0.0003289033,0.00005043422,0.00003484742,0.000008037813,0.004542992,0.0001157836,0.9405535,0.00005931554,0.04860149,0.005420235,0.0001284804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09423461,0.006775027,0.8957981,0.002017516,0.0004096835,0.00005475621,2.694462e-7,0.0002686982,0.0004412823],"genre_scores_gemma":[0.992182,0.001918127,0.00193267,0.00004553771,0.0003293312,8.486327e-7,3.335121e-7,0.00001043482,0.003580687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9368161,"threshold_uncertainty_score":0.8277708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004434874449376412,"score_gpt":0.2503920609740748,"score_spread":0.2459571865246984,"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."}}