{"id":"W4393179252","doi":"10.1017/9781009283403.005","title":"Polar Codes","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polar; Computer science; Physics; Astronomy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003916904,0.0009848854,0.0006719557,0.002329263,0.001040729,0.002263149,0.001326397,0.0009291724,0.5762323],"category_scores_gemma":[0.001465145,0.000412711,0.0003763335,0.002509571,0.0005493538,0.002534559,0.001558901,0.001483666,0.4299569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009977535,"about_ca_system_score_gemma":0.001042646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002304621,"about_ca_topic_score_gemma":0.002233129,"domain_scores_codex":[0.9996079,0.00003624253,0.00002325948,0.00006578847,0.0002215718,0.0000453688],"domain_scores_gemma":[0.99935,0.00008327383,0.00002546261,0.00009274367,0.0003818429,0.00006661411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001415197,0.00001759413,0.00009887032,0.0006439332,0.000003539007,0.00009490083,0.00007837481,0.0005516737,0.00273191,0.07285129,0.7529517,0.1698347],"study_design_scores_gemma":[0.000005994816,0.000009580904,0.00004957047,0.00005450869,0.000001301597,0.00005336282,0.00002340106,0.0001527781,0.0009007674,0.004912302,0.9938297,0.000006792874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001132696,0.003713559,0.02824073,0.002041533,0.003897615,0.0003403224,0.0293761,0.007878976,0.9233785],"genre_scores_gemma":[0.01147453,0.006112853,0.01516715,0.001072403,0.0008398085,0.0004144919,0.03809045,0.004138978,0.9226894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5762323,"threshold_uncertainty_score":0.6044532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172335560554533,"score_gpt":0.2174096219004082,"score_spread":0.2056862662948629,"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."}}