{"id":"W1968904197","doi":"10.1089/cmb.2008.0025","title":"Inferring Ancestral Gene Orders for a Family of Tandemly Arrayed Genes","year":2008,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Gene duplication; Biology; Genome; Tandem exon duplication; Gene; Evolutionary biology; Phylogenetics; Genetics; Gene family; Computational biology; Segmental duplication; Gene cluster; Genome evolution","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":[0.0007007759,0.0003071278,0.0004587141,0.002354615,0.0006469662,0.0007123174,0.0005744543,0.0006134289,0.0008586837],"category_scores_gemma":[0.003125153,0.000326015,0.0008665534,0.001370462,0.0005290048,0.001004713,0.0005297483,0.000713492,0.0002525739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008795568,"about_ca_system_score_gemma":0.0007787287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745687,"about_ca_topic_score_gemma":0.004105794,"domain_scores_codex":[0.9997503,0.00005116841,0.00001268151,0.00009678569,0.00004644214,0.00004259011],"domain_scores_gemma":[0.9990292,0.0005140349,0.0001312523,0.0001399715,0.0001149173,0.00007066975],"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":[0.0007303348,0.00015572,0.2239925,0.0003069628,0.0002527824,0.00103869,0.001354012,0.4317658,0.04897143,0.05327921,0.00174532,0.2364073],"study_design_scores_gemma":[0.00003330199,0.0001128644,0.02836967,0.00004987714,0.0001037919,0.0008705132,0.0004772721,0.8968176,0.009968095,0.0593554,0.003793433,0.00004812511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7101431,0.0003587164,0.287121,0.0001741485,0.000008691627,0.00002175535,0.0006661062,0.0003765,0.001129931],"genre_scores_gemma":[0.8453667,0.000283571,0.1519041,0.00003232748,0.00001079974,0.00002353425,0.00170462,0.00007911065,0.0005952504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002745687,"threshold_uncertainty_score":0.006381631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223557707972704,"score_gpt":0.2840963344221287,"score_spread":0.2518607573424017,"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."}}