{"id":"W2128252278","doi":"10.1080/10635150500354928","title":"Inferring Phylogeny Despite Incomplete Lineage Sorting","year":2006,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1179,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Phylogenetics; Evolutionary biology; Lineage (genetic); Coalescent theory; Sorting; Zoology; Genetics; Algorithm; Computer science; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002414105,0.0001453452,0.0002566939,0.00005217052,0.0001095634,0.00002246608,0.0001864097,0.0002045821,0.00002255941],"category_scores_gemma":[0.00007784044,0.0001258291,0.00009463126,0.00006649677,0.00005875503,0.000001811068,0.000168568,0.00006822133,0.00002906581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008561736,"about_ca_system_score_gemma":0.00002044484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006378075,"about_ca_topic_score_gemma":0.00005083036,"domain_scores_codex":[0.9988948,0.0001595758,0.0003961788,0.0002624098,0.00006352374,0.0002235034],"domain_scores_gemma":[0.9993537,0.00001835431,0.0002171878,0.000305159,0.00006617146,0.00003941426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001881018,0.00002864564,0.2419613,0.003322706,0.0001080231,0.000004289254,0.0001030933,0.001427005,0.7467428,0.006051438,0.000156536,0.00007533508],"study_design_scores_gemma":[0.00508075,0.001171544,0.5846574,0.002482725,0.0005596828,0.0004529325,0.001213699,0.005164998,0.3675396,0.02303079,0.005443621,0.003202267],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849102,0.0004891978,0.01282852,0.00002558606,0.0002339998,0.0003073546,0.00001317699,0.00002411417,0.001167835],"genre_scores_gemma":[0.9971787,0.000002381174,0.002082577,0.0001535242,0.000263031,0.00001541896,0.0001296344,0.00001002067,0.0001646519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3792032,"threshold_uncertainty_score":0.513116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276121402135305,"score_gpt":0.2396869265024123,"score_spread":0.2269257124810593,"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."}}