{"id":"W4402121295","doi":"10.2139/ssrn.4944347","title":"Stochastic Sequential Screening","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Computer 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":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01063451,0.0002853427,0.0003711187,0.0005031007,0.0004827131,0.0009433604,0.00155325,0.0002606808,0.0005164995],"category_scores_gemma":[0.0006592896,0.000221145,0.0005026873,0.0005311728,0.0001316874,0.0001220405,0.00107172,0.008899666,0.001710647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006149656,"about_ca_system_score_gemma":0.004164464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001871783,"about_ca_topic_score_gemma":0.000105085,"domain_scores_codex":[0.9949929,0.0003072594,0.0009006846,0.0007103786,0.001317004,0.001771746],"domain_scores_gemma":[0.9979603,0.0003449663,0.000561271,0.0006717593,0.0003035814,0.0001580727],"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":[0.00003407096,0.00002658077,0.00000714127,0.000004269943,0.0002286533,0.000005129057,0.0001943305,0.01770357,0.00007294081,0.8707659,0.001554124,0.1094033],"study_design_scores_gemma":[0.0001162103,0.00004052444,0.00001039591,0.00005116575,0.00009274135,0.0006451107,0.001670138,0.003246618,0.00002153485,0.989796,0.004084817,0.0002247698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02058447,0.004298659,0.9666008,0.003667124,0.001999645,0.0002231478,0.00002889343,0.0001132808,0.002483942],"genre_scores_gemma":[0.9759648,0.0002332572,0.0003792218,0.00008264348,0.001989024,0.00002779685,0.000008704214,0.000040006,0.02127455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9662216,"threshold_uncertainty_score":0.9990667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07628537798283708,"score_gpt":0.3926872538761526,"score_spread":0.3164018758933155,"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."}}