{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01397775,0.001515687,0.004258449,0.002799156,0.001544412,0.003634539,0.00298295,0.004403559,0.02062854],"category_scores_gemma":[0.07383949,0.001464463,0.002166141,0.003173963,0.004312486,0.006023622,0.004921635,0.004492946,0.002837453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064994,"about_ca_system_score_gemma":0.001675989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011686,"about_ca_topic_score_gemma":0.001038135,"domain_scores_codex":[0.9861654,0.01009924,0.000448954,0.001266999,0.001240047,0.0007793275],"domain_scores_gemma":[0.8822855,0.1020776,0.00483893,0.006836792,0.002547705,0.001413509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006653825,0.0001220708,0.002427195,0.0003492052,0.0004184007,0.0006782657,0.0002205493,0.09238037,0.0003401121,0.8307787,0.01882588,0.05279381],"study_design_scores_gemma":[0.0001328726,0.0001182229,0.0003913542,0.00003148036,0.00005580258,0.0003004494,0.00004763975,0.1608787,0.0001807836,0.8351587,0.00267687,0.00002709995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05291108,0.003565316,0.8880664,0.006927549,0.0007982842,0.0002324173,0.0004576195,0.0006455704,0.04639576],"genre_scores_gemma":[0.8824752,0.001945324,0.05236838,0.001175259,0.001402913,0.0004527222,0.0004040138,0.0002246891,0.05955151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02062854,"threshold_uncertainty_score":0.07392228,"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."}}