{"id":"W2110361684","doi":"10.1109/gensips.2010.5719668","title":"Fast algorithms for recognizing retroviruses","year":2010,"lang":"en","type":"article","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Endogenous retrovirus; Genome; Computational biology; Computer science; Biology; Gene; Genetics; Algorithm","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":[0.003132085,0.002203325,0.002024504,0.003006198,0.001711652,0.002829249,0.004234843,0.003076433,0.005885096],"category_scores_gemma":[0.0147563,0.001257343,0.001875323,0.003308579,0.001215658,0.004400186,0.002160904,0.003169858,0.004466304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279408,"about_ca_system_score_gemma":0.002145052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003027334,"about_ca_topic_score_gemma":0.002795675,"domain_scores_codex":[0.9973142,0.0006155038,0.0003119462,0.0005520672,0.0009820473,0.0002242812],"domain_scores_gemma":[0.9922758,0.003922425,0.000455527,0.001027287,0.002183065,0.0001359504],"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":[0.000306425,0.0001438825,0.001826718,0.0004034258,0.0001383723,0.0001185525,0.0001490946,0.2116293,0.005315216,0.03607279,0.01428559,0.7296107],"study_design_scores_gemma":[0.0001342024,0.00008148434,0.000409555,0.00005361868,0.00003478499,0.0001567687,0.00005143066,0.9045424,0.003829102,0.08214892,0.008517745,0.00003995184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004708305,0.0009407549,0.9896431,0.0001845028,0.0001628853,0.0001594989,0.0002580103,0.002729002,0.001213901],"genre_scores_gemma":[0.03551321,0.0006404723,0.959156,0.0001470044,0.0001436615,0.0005347962,0.001215977,0.00026631,0.002382503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005885096,"threshold_uncertainty_score":0.01968759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307020446439206,"score_gpt":0.2705312956360967,"score_spread":0.2474610911717047,"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."}}