{"id":"W4393179363","doi":"10.1017/9781009283403.014","title":"List Decoding","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Decoding methods; Computer science; Content (measure theory); Information retrieval; Telecommunications; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008764293,0.0002569376,0.0002768384,0.0001663314,0.0001298813,0.00005236883,0.0001939344,0.0002768593,0.00002336567],"category_scores_gemma":[0.00001717644,0.0002976103,0.0001941074,0.000006198606,0.0000647461,0.00005590733,0.0001775301,0.0003339586,0.00005065113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997255,"about_ca_system_score_gemma":0.00003860718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004591502,"about_ca_topic_score_gemma":0.000005681862,"domain_scores_codex":[0.9991199,0.00001084909,0.00019275,0.0003156284,0.0002031624,0.0001576673],"domain_scores_gemma":[0.999184,0.0001122548,0.0001631663,0.0003519617,0.00009618864,0.00009247734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001216756,0.000003121568,0.000001450632,0.0002448165,0.00006897011,0.0001144071,0.00003742229,9.302865e-7,0.000006686623,0.9275443,0.07125549,0.000710214],"study_design_scores_gemma":[0.0001623671,0.00001222564,0.000004096602,0.0003713731,0.0003280241,0.00001672679,0.000007461089,0.0006472698,0.00003333094,0.00368935,0.9944049,0.0003229262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001414274,0.0000833693,0.0008218045,0.00002428402,0.0003775572,0.0002534189,0.0001983492,0.0002773214,0.9978225],"genre_scores_gemma":[0.001588506,0.00002601747,0.000720725,0.0000194607,0.0001881197,3.105007e-7,0.00007049635,0.00006084025,0.9973255],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9238549,"threshold_uncertainty_score":0.9999476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06804488932371741,"score_gpt":0.2681544540599323,"score_spread":0.2001095647362149,"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."}}