{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003533949,0.0001274371,0.0001144642,0.00004442071,0.000113756,0.000009259157,0.0001680047,0.000185988,0.000002265555],"category_scores_gemma":[0.00004451432,0.0001244618,0.00002489798,0.00005583483,0.0001110437,9.701665e-7,0.0002568941,0.00006068508,0.000003434592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001157331,"about_ca_system_score_gemma":0.00001584488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004397185,"about_ca_topic_score_gemma":0.0001227444,"domain_scores_codex":[0.9990783,0.00004453299,0.0001776272,0.00041795,0.00004568161,0.0002359235],"domain_scores_gemma":[0.9993899,0.000007128924,0.00005809723,0.0004451358,0.00004226465,0.00005744879],"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":[0.00004415572,0.00001692783,0.2325622,0.000004306433,0.00004586705,0.000001205094,0.00001226821,0.00001556109,0.7601565,0.00198675,0.00009116816,0.005063029],"study_design_scores_gemma":[0.0005611783,0.0003109464,0.9442438,0.000005548002,0.00005116676,0.00004316123,0.00007299009,0.0002922449,0.03668277,0.005195579,0.01219672,0.0003438647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156241,0.005906196,0.07771192,0.00006346685,0.0001914246,0.0001161763,0.00002521046,0.000005478161,0.0003560741],"genre_scores_gemma":[0.9952443,0.0003768554,0.003513075,0.0001150528,0.0002047143,0.000002829469,0.00049465,0.00001309554,0.00003540769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7234737,"threshold_uncertainty_score":0.5075405,"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."}}