{"id":"W2136104033","doi":"10.1093/bioinformatics/btm225","title":"Homology search for genes","year":2007,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"U.S. Public Health Service","keywords":"Gene; Homology (biology); Gene prediction; Genome; Annotation; Gene Annotation; Exon; Genetics; Computational biology; Biology; Computer science; Human genome; Ensembl; Genomics","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":[0.001321029,0.0007899179,0.001186401,0.002276344,0.0008162048,0.001209551,0.001534179,0.001158736,0.01371421],"category_scores_gemma":[0.00616682,0.0003926909,0.0009271177,0.003425482,0.0006727027,0.002136999,0.001472828,0.0008865842,0.007167972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008107925,"about_ca_system_score_gemma":0.0008313091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008342233,"about_ca_topic_score_gemma":0.0008311135,"domain_scores_codex":[0.9985058,0.0002933134,0.0001117271,0.0006379509,0.0003462992,0.0001048675],"domain_scores_gemma":[0.997081,0.001721903,0.0002829596,0.0003895991,0.0004097813,0.0001146319],"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":[0.002129912,0.000661975,0.03548399,0.004351929,0.0005227358,0.002935428,0.0009472836,0.04075715,0.1968734,0.08745097,0.04759019,0.580295],"study_design_scores_gemma":[0.0006627296,0.001349361,0.02862472,0.0006065925,0.0006272838,0.01020163,0.00103853,0.299758,0.2274879,0.2163331,0.2131237,0.000186444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1924352,0.00823915,0.7452167,0.002290529,0.0002506013,0.0005036925,0.01868794,0.01064091,0.02173518],"genre_scores_gemma":[0.4971395,0.002686207,0.4308694,0.0008334364,0.0002117027,0.0004922262,0.05803893,0.0008649994,0.008863504],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01371421,"threshold_uncertainty_score":0.04587865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585314769633712,"score_gpt":0.2663310844368851,"score_spread":0.250477936740548,"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."}}