{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473599,0.0007068763,0.001338964,0.0009043029,0.0007583477,0.002585013,0.001021191,0.001872583,0.02383721],"category_scores_gemma":[0.00933639,0.0004912091,0.0008317564,0.001339021,0.001482242,0.002748487,0.001562253,0.001566062,0.001834682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490627,"about_ca_system_score_gemma":0.0014444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140307,"about_ca_topic_score_gemma":0.001004717,"domain_scores_codex":[0.998758,0.0005247899,0.00004817294,0.0002070929,0.0002589365,0.0002029826],"domain_scores_gemma":[0.99654,0.002110085,0.0003219988,0.0004464669,0.0003312562,0.0002502469],"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":[0.0001125184,0.00008235037,0.0004032002,0.00008226772,0.00003729741,0.00009879303,0.00004194737,0.02386181,0.0007792123,0.9526965,0.007456361,0.01434773],"study_design_scores_gemma":[0.00004581163,0.00003616134,0.0003220423,0.00001926697,0.00002082024,0.0001064997,0.00002299519,0.1592822,0.000487683,0.8365105,0.003129383,0.0000166949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1503235,0.001524642,0.5789342,0.007528814,0.0007699292,0.0002913653,0.001166308,0.0009578973,0.2585034],"genre_scores_gemma":[0.8917755,0.0005929177,0.01963514,0.000554849,0.0002665891,0.000131286,0.0002736416,0.0001098721,0.08666011],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02383721,"threshold_uncertainty_score":0.07974339,"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."}}