{"id":"W2074073012","doi":"10.1109/iscas.2010.5537210","title":"Comparative genomic analysis using statistically optimal null filters","year":2010,"lang":"en","type":"article","venue":"","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computational biology; Computer science; Genomics; Null (SQL); Filter (signal processing); Convolution (computer science); Sequence (biology); Biology; Gene; Algorithm; Genetics; Artificial intelligence; Genome; Data mining","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":[0.000734751,0.0002404821,0.0003571036,0.001461434,0.0002041696,0.0004508437,0.0003446437,0.0003766987,0.0009285533],"category_scores_gemma":[0.001984245,0.0001551354,0.0004092408,0.0008763486,0.0006689369,0.0005624546,0.0003968702,0.0002532491,0.0001692004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004493775,"about_ca_system_score_gemma":0.0003513272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005640179,"about_ca_topic_score_gemma":0.0003722761,"domain_scores_codex":[0.9996406,0.0001020211,0.00001748637,0.00009855841,0.0001101564,0.00003117412],"domain_scores_gemma":[0.9994909,0.0002819485,0.00006465665,0.00005817569,0.00008058553,0.00002379057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005600454,0.00005342337,0.002800654,0.000269406,0.00007156892,0.0006415522,0.0002442067,0.04910323,0.6148952,0.1164893,0.0005403484,0.214331],"study_design_scores_gemma":[0.00006683837,0.0006864827,0.01296603,0.00004465007,0.0001063094,0.001936407,0.0002202754,0.6168225,0.2830518,0.06791142,0.01607727,0.0001098587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1492983,0.0004320735,0.8477411,0.00005843934,0.0000325196,0.00002137723,0.0001020774,0.0003495776,0.001964612],"genre_scores_gemma":[0.4770753,0.0005980501,0.5208008,0.00003473081,0.00003245781,0.00009388039,0.0003432946,0.00004602647,0.0009754096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001461434,"threshold_uncertainty_score":0.003885746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654445396964377,"score_gpt":0.2955532888450247,"score_spread":0.279008834875381,"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."}}