{"id":"W2146494984","doi":"10.1186/1471-2105-13-s19-s16","title":"A graph-theoretic approach for inparalog detection","year":2012,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Gene duplication; Biology; Heuristic; Gene; Comparative genomics; Computational biology; Graph; Event (particle physics); Function (biology); Genome; Genetic algorithm; DNA microarray; Cluster analysis; Set (abstract data type); Evolutionary biology; Genomics; Genetics; Computer science; Theoretical computer science; Artificial intelligence","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":[0.002659101,0.002259913,0.002406339,0.007238511,0.001981529,0.003009937,0.005285755,0.002593662,0.004660522],"category_scores_gemma":[0.01896069,0.001559089,0.002418866,0.005904779,0.002321741,0.00841599,0.003002348,0.004354515,0.001483553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002715368,"about_ca_system_score_gemma":0.001825424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727175,"about_ca_topic_score_gemma":0.002512265,"domain_scores_codex":[0.9975262,0.000662466,0.0001570095,0.0006688256,0.000811761,0.0001738016],"domain_scores_gemma":[0.9818366,0.01207446,0.00160823,0.002362614,0.001535336,0.0005827764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002447269,0.0005526501,0.00423278,0.001053807,0.0003757957,0.0005597699,0.0006607811,0.4240277,0.01293092,0.2480572,0.01814385,0.28916],"study_design_scores_gemma":[0.00002132749,0.0001042701,0.0006487413,0.00003664488,0.00006967731,0.0004623276,0.0001048239,0.7785516,0.00219021,0.2126824,0.005088499,0.0000395016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007296478,0.0002296759,0.9899713,0.0004075099,0.00003847904,0.0001282366,0.0002525847,0.0004852904,0.001190493],"genre_scores_gemma":[0.08644675,0.0005611115,0.9086454,0.0003544749,0.0002256345,0.0002868127,0.001480972,0.0002742958,0.001724584],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007238511,"threshold_uncertainty_score":0.01970142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788353798836454,"score_gpt":0.2323048496636832,"score_spread":0.2144213116753187,"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."}}