{"id":"W2118938750","doi":"10.1074/mcp.o111.014902","title":"De Novo Sequencing and Homology Searching","year":2011,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computational biology; Homology (biology); Computer science; DNA sequencing; Sequence database; Proteomics; Sequence (biology); Genome; Sequence analysis; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003401481,0.001789359,0.002211904,0.002412322,0.001189498,0.003367902,0.002797857,0.001822052,0.009476596],"category_scores_gemma":[0.004801549,0.001122564,0.001422841,0.003408563,0.0009612902,0.004002401,0.002552285,0.002595259,0.01259466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009227885,"about_ca_system_score_gemma":0.001030192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006820286,"about_ca_topic_score_gemma":0.0006732864,"domain_scores_codex":[0.9972691,0.0006259797,0.0002622937,0.0008868992,0.0008350826,0.0001207407],"domain_scores_gemma":[0.9981282,0.0008239305,0.0001760182,0.000403752,0.0003869546,0.00008122404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003876578,0.0002244239,0.0007394028,0.002775515,0.0002425292,0.0008054417,0.000596382,0.00772206,0.1059108,0.09305318,0.03038716,0.7571555],"study_design_scores_gemma":[0.000102979,0.0003172093,0.00122543,0.0005246396,0.000152604,0.004089936,0.0002965342,0.05996494,0.2031977,0.1392102,0.5906484,0.0002694729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004251464,0.009839655,0.9704083,0.0004769265,0.0005373752,0.0002758115,0.0009455968,0.003916162,0.009348745],"genre_scores_gemma":[0.01737854,0.009212534,0.9594405,0.000459372,0.0001652035,0.0003257506,0.004106954,0.001116749,0.007794361],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009476596,"threshold_uncertainty_score":0.0317024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146770040343689,"score_gpt":0.2430870829234059,"score_spread":0.221619382519969,"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."}}