{"id":"W1536273031","doi":"10.1109/isit.1994.394684","title":"Sequential sequence estimation for CPM","year":2002,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Trellis (graph); Alphabet; Sequence (biology); Computer science; Modulation (music); Algorithm; Graph; Reduction (mathematics); Theoretical computer science; Mathematics; Decoding methods","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":[0.0008582989,0.0007041369,0.0005955413,0.0006921979,0.000393131,0.000675377,0.0006202772,0.000960211,0.006962019],"category_scores_gemma":[0.006410703,0.0004007698,0.0004492619,0.001318409,0.0006087965,0.001346729,0.0009129816,0.001079698,0.002088757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004523193,"about_ca_system_score_gemma":0.000948788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934529,"about_ca_topic_score_gemma":0.002167797,"domain_scores_codex":[0.9991481,0.0003310271,0.0000406414,0.0001309075,0.0002820908,0.00006724327],"domain_scores_gemma":[0.9975497,0.001600066,0.0001475755,0.0003562904,0.0003052772,0.00004111291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003620293,0.00007208042,0.0006240258,0.0002971684,0.00007515091,0.0001465411,0.0000802544,0.3754807,0.02642241,0.1608537,0.005906062,0.4296799],"study_design_scores_gemma":[0.00002083697,0.00009281129,0.0002338733,0.00003554285,0.00001450149,0.0001555389,0.0000131755,0.9203654,0.007909499,0.06258164,0.008555716,0.00002143264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001636917,0.000172077,0.9964923,0.00007678097,0.00002852042,0.00002351413,0.00005013421,0.0002294899,0.001290194],"genre_scores_gemma":[0.1420773,0.0009682572,0.8494762,0.0002136654,0.000224573,0.0003083978,0.0004498732,0.000184815,0.006096925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006962019,"threshold_uncertainty_score":0.02329034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06565258982604555,"score_gpt":0.2998097405995631,"score_spread":0.2341571507735176,"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."}}