{"id":"W2244508043","doi":"","title":"Population Genetics and Speciation in Outcrossing Species in the Nematode Genus Caenorhabditis","year":2014,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Central China Normal University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Outcrossing; Genetic algorithm; Biology; Nematode; Genus; Population; Evolutionary biology; Caenorhabditis; Population genetics; Genetics; Zoology; Caenorhabditis elegans; Ecology; Gene; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245578,0.0001706806,0.0001840197,0.001029772,0.000443033,0.0003548677,0.0003001544,0.0002406906,0.0003796369],"category_scores_gemma":[0.0005264813,0.0001274223,0.0002189221,0.0004359976,0.0004213023,0.0002591464,0.0004264556,0.0002454425,0.00006852147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005335883,"about_ca_system_score_gemma":0.0002075145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003259629,"about_ca_topic_score_gemma":0.008105568,"domain_scores_codex":[0.9997993,0.00003623893,0.0000128484,0.00009491688,0.00003738721,0.00001923824],"domain_scores_gemma":[0.999718,0.0000596056,0.0001348772,0.0000195049,0.00003197048,0.00003603016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002383774,0.000119029,0.627068,0.0001793616,0.0002557139,0.0005418701,0.00316834,0.001876992,0.3334173,0.00213027,0.000197957,0.0308068],"study_design_scores_gemma":[0.000006040881,0.0001062194,0.9928023,0.00001832965,0.0000326343,0.0003282942,0.0007066345,0.001780058,0.002822403,0.0006640825,0.0007143394,0.00001862345],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989727,0.0002411583,0.0003319401,0.00001355386,0.000001332769,0.000003947679,0.00003276568,0.00000611249,0.0003965518],"genre_scores_gemma":[0.9989399,0.0001574064,0.0006558886,0.00001910698,0.000001697117,0.000006673893,0.00008474804,0.000003159684,0.0001313029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003259629,"threshold_uncertainty_score":0.00648129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009230223183011326,"score_gpt":0.2313463390429162,"score_spread":0.2221161158599049,"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."}}