{"id":"W4388779834","doi":"10.1515/9781552384039-019","title":"Coding Theory","year":2006,"lang":"en","type":"book-chapter","venue":"University of Calgary Press eBooks","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McMaster University; University of Alberta","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":[0.0005880463,0.001045219,0.001078463,0.002252908,0.001736481,0.003946511,0.001121869,0.001376174,0.0454433],"category_scores_gemma":[0.002388377,0.0006206763,0.0005564826,0.003385555,0.003069355,0.00351679,0.001521246,0.003600446,0.01268808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004856671,"about_ca_system_score_gemma":0.001942379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01123631,"about_ca_topic_score_gemma":0.00984862,"domain_scores_codex":[0.999307,0.0001582967,0.00002334233,0.0001544212,0.0002784721,0.00007838519],"domain_scores_gemma":[0.9991426,0.0003148377,0.00002692748,0.0002614456,0.0002144739,0.00003959088],"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":[0.000004662155,0.000006156288,0.0000477107,0.0000484417,0.000004578439,0.00001449767,0.0001140643,0.0005181682,0.00009696628,0.9176383,0.04387538,0.03763112],"study_design_scores_gemma":[0.000006317208,0.000003842276,0.0001068587,0.00006229743,0.000005729191,0.0000397123,0.00005396311,0.001225473,0.0001940416,0.8155177,0.1827768,0.000007305064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003056744,0.01902337,0.09402925,0.00691195,0.00155634,0.00005476738,0.0009108257,0.000578234,0.8738784],"genre_scores_gemma":[0.1506933,0.02192128,0.03978747,0.002401004,0.002212291,0.0003041791,0.001772528,0.0005496842,0.7803583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0454433,"threshold_uncertainty_score":0.152023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048717094852226,"score_gpt":0.1839095386237982,"score_spread":0.1634223676752759,"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."}}