{"id":"W1986152701","doi":"10.1093/molbev/msm085","title":"Population Genetics Without Intraspecific Data","year":2007,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of General Medical Sciences","keywords":"Biology; Nonsynonymous substitution; Evolutionary biology; In silico; Population; Intraspecific competition; Sequence (biology); Genetics; Molecular evolution; Phenotype; Computational biology; Phylogenetics; Ecology; Gene; Genome","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":[0.01573614,0.00115161,0.00219156,0.002095314,0.001013552,0.003283769,0.003075951,0.003197111,0.00552236],"category_scores_gemma":[0.04146382,0.001036281,0.001656002,0.002213336,0.003718604,0.005840531,0.002986263,0.003982503,0.001132097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999034,"about_ca_system_score_gemma":0.001059459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004452622,"about_ca_topic_score_gemma":0.003962423,"domain_scores_codex":[0.9908207,0.004376989,0.0003021565,0.003095374,0.001060322,0.000344532],"domain_scores_gemma":[0.9782951,0.01310325,0.001765711,0.005541866,0.0009389639,0.0003551507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001012354,0.00007707361,0.03112,0.0002525262,0.0009181161,0.00091315,0.0006803753,0.1249333,0.002180461,0.7817604,0.003309556,0.05375389],"study_design_scores_gemma":[0.0000613989,0.00007569715,0.006297854,0.00006276568,0.0001811221,0.0005885169,0.0001407072,0.2769814,0.0006201294,0.7066877,0.008213562,0.00008918862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08659872,0.001122724,0.893288,0.003601624,0.000348578,0.0001806504,0.001288481,0.0006965168,0.01287475],"genre_scores_gemma":[0.8062512,0.001451522,0.17384,0.003209263,0.0004082,0.0008075695,0.001817853,0.0003900815,0.01182437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01573614,"threshold_uncertainty_score":0.08322167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015233869274458,"score_gpt":0.2867121800044337,"score_spread":0.2714783107299756,"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."}}