{"id":"W2975339399","doi":"10.1109/isit.2019.8849546","title":"Adaptive Sequence Phase Detection","year":2019,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subsequence; Detector; Sequence (biology); Phase detector; Noise (video); Computer science; Algorithm; Phase (matter); Artificial intelligence; Mathematics; Physics; Telecommunications","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":[0.001263611,0.0007032842,0.000688692,0.0007527059,0.0003952424,0.0006876561,0.001132278,0.001024754,0.001825157],"category_scores_gemma":[0.009441818,0.000424102,0.0003265737,0.0008293011,0.001053732,0.001747824,0.001149888,0.0008131551,0.0008636371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239316,"about_ca_system_score_gemma":0.0009665456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004481329,"about_ca_topic_score_gemma":0.0005178055,"domain_scores_codex":[0.9987836,0.0003120363,0.00006114507,0.000294549,0.0004690765,0.00007946397],"domain_scores_gemma":[0.9968814,0.001648074,0.0003925285,0.0004498471,0.0005483893,0.00007972107],"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":[0.00122523,0.0002060666,0.00254343,0.0003950577,0.00007920119,0.0003311232,0.0002330478,0.1781686,0.1716594,0.1009262,0.004438482,0.5397943],"study_design_scores_gemma":[0.000108849,0.0004089079,0.0007315199,0.00006045164,0.00003261233,0.0008945635,0.00005389473,0.8477184,0.0990966,0.03922623,0.01161315,0.00005489569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008577215,0.0001718783,0.9899797,0.00007957911,0.00002885751,0.00004796185,0.00004176913,0.0001976138,0.000875359],"genre_scores_gemma":[0.3027194,0.0005018611,0.6927457,0.000262771,0.000130441,0.000222932,0.000264984,0.0001139453,0.003037852],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001825157,"threshold_uncertainty_score":0.006682634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835762855052994,"score_gpt":0.2825108455861073,"score_spread":0.2541532170355774,"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."}}