{"id":"W2516281809","doi":"10.1017/cbo9781139195768.007","title":"Bifix codes","year":2009,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Object (grammar); Computer science; Mathematics; Artificial intelligence","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":[0.0001317756,0.0003324891,0.000338357,0.0002995388,0.0002432766,0.000124206,0.001740922,0.0002859356,0.000002781214],"category_scores_gemma":[0.000003738589,0.0004125971,0.000319899,0.00001840216,0.0001821873,0.0001717056,0.000552554,0.0004067149,0.00002914491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007021778,"about_ca_system_score_gemma":0.00007338649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001470445,"about_ca_topic_score_gemma":6.137777e-7,"domain_scores_codex":[0.9986385,0.00004594493,0.0001453309,0.00061899,0.0002600926,0.0002912119],"domain_scores_gemma":[0.9984574,0.00007398541,0.0001645358,0.001022065,0.0001072861,0.0001747646],"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":[0.00002176088,0.000007516394,2.688424e-7,0.00001582639,0.00005923687,0.000200375,0.0000340173,0.000001111286,0.00002604488,0.9541234,0.01357302,0.03193736],"study_design_scores_gemma":[0.0002528261,0.00008695783,0.00001038173,0.0001061894,0.00006558194,0.00001622302,0.000003578255,0.0001317352,0.0002154665,0.001508162,0.9971204,0.0004825121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002119697,0.000124873,0.02572486,0.00003140042,0.000238324,0.0001802343,0.0000431323,0.0004649627,0.973171],"genre_scores_gemma":[0.0008234349,0.00007171973,0.00146455,0.0001789392,0.00009263745,2.210151e-7,0.000009975007,0.00001840214,0.9973401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9835474,"threshold_uncertainty_score":0.9998326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889030235548719,"score_gpt":0.1879473394591654,"score_spread":0.1690570371036783,"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."}}