{"id":"W2107063284","doi":"10.1534/genetics.106.066720","title":"Comparative Genomics and Adaptive Selection of the ATP-Binding-Cassette Gene Family in Caenorhabditis Species","year":2006,"lang":"en","type":"article","venue":"Genetics","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Simon Fraser University","funders":"National Center for Research Resources; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; McDonnell Center for Systems Neuroscience; Genome British Columbia; Genome Canada","keywords":"Biology; Caenorhabditis; Subfamily; Gene duplication; Genetics; Gene family; Gene; Lineage (genetic); Concerted evolution; Caenorhabditis elegans; Comparative genomics; Phylogenetics; Evolutionary biology; Genome; Genomics","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":[0.0001056231,0.0001773979,0.0002546272,0.001478834,0.0003925689,0.0002164258,0.0002436664,0.0003019057,0.0006486765],"category_scores_gemma":[0.0001839215,0.0001359205,0.0002347595,0.0006259358,0.0002033257,0.0001560669,0.0002876804,0.0002491285,0.0001676833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602495,"about_ca_system_score_gemma":0.0001553761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231236,"about_ca_topic_score_gemma":0.004025159,"domain_scores_codex":[0.9998899,0.000008394678,0.000008582744,0.00005081174,0.00002286849,0.00001948765],"domain_scores_gemma":[0.9998759,0.00002342944,0.00003234095,0.00001010464,0.00002398388,0.00003427665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001239308,0.00002327599,0.007378347,0.00004456628,0.00001839211,0.0001563673,0.0001490565,0.0001036478,0.9881299,0.000121483,0.00003713276,0.003713956],"study_design_scores_gemma":[0.00002440221,0.0002302093,0.9743013,0.00001600439,0.00003846245,0.0009384702,0.0002437123,0.0008556056,0.02057656,0.000177667,0.002574445,0.00002304232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980317,0.0003504416,0.0003195093,0.00001535235,0.000003056045,0.00001004249,0.000312863,0.00001222955,0.0009447204],"genre_scores_gemma":[0.9964318,0.0002957472,0.001126236,0.00005496278,0.000006001342,0.00002796154,0.001338153,0.00001145615,0.0007076029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00231236,"threshold_uncertainty_score":0.004597783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153945479500623,"score_gpt":0.2278129070832514,"score_spread":0.2062734522882451,"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."}}