{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006657241,0.00005147216,0.00005127383,0.00003043257,0.0000411863,0.00005449834,0.0003318356,0.00002238653,0.00009135826],"category_scores_gemma":[0.000003524784,0.00003915819,0.00001837086,0.0001329894,0.000007574918,0.0007062292,0.0001618861,0.00005296464,0.0006318685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001690667,"about_ca_system_score_gemma":0.00001671569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004861791,"about_ca_topic_score_gemma":0.000002733957,"domain_scores_codex":[0.999482,0.00001510244,0.00006519723,0.0002113353,0.0001213001,0.0001050282],"domain_scores_gemma":[0.9995328,0.00002024452,0.00002519656,0.0003512454,0.00003021179,0.00004033815],"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":[0.0000114214,0.00006822297,0.00003201066,0.000002628105,0.000004726227,0.000007371346,0.0001032204,0.00005473786,0.06139693,0.03141931,0.0004801292,0.9064193],"study_design_scores_gemma":[0.0004269536,0.0002273993,0.0001171203,0.000006805958,7.510039e-7,0.00001267882,0.00001603336,0.9585314,0.03103555,0.001911733,0.007611042,0.0001024842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02266817,0.00001430054,0.9702185,0.0000523061,0.0003223869,0.00007998007,0.000001506969,0.0001391492,0.006503738],"genre_scores_gemma":[0.9395314,0.000002521987,0.05943837,0.000149281,0.00002642709,0.000003138549,0.000001200185,0.00000220291,0.0008454035],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9584767,"threshold_uncertainty_score":0.8121603,"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."}}