{"id":"W2102333201","doi":"10.1111/j.1558-5646.2009.00665.x","title":"VARIABLE PROGRESS TOWARD ECOLOGICAL SPECIATION IN PARAPATRY: STICKLEBACK ACROSS EIGHT LAKE-STREAM TRANSITIONS","year":2009,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Génome Québec; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Parapatric speciation; Biology; Allopatric speciation; Ecological speciation; Stickleback; Ecology; Genetic algorithm; Sympatric speciation; Ecotone; Incipient speciation; Reproductive isolation; Biological dispersal; Evolutionary biology; Character displacement; Gene flow; Sympatry; Habitat; Genetic variation; Population","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":[0.0001048993,0.000102864,0.00009873043,0.00002994232,0.00009783451,0.00002367111,0.00008883797,0.0002199465,0.0001102274],"category_scores_gemma":[0.00002421142,0.0001040374,0.00004709081,0.0001624507,0.00004299159,0.000008866283,0.00001806473,0.00008523772,0.00001771325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003326319,"about_ca_system_score_gemma":0.00003739785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006035089,"about_ca_topic_score_gemma":0.0001366733,"domain_scores_codex":[0.9992134,0.00005433845,0.0001547592,0.0002442896,0.0001111031,0.0002220871],"domain_scores_gemma":[0.999701,0.000003413609,0.00005217972,0.0001357338,0.00005628579,0.00005135628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001359892,0.002628137,0.7331537,0.0001117376,0.0001736716,0.00004488359,0.003268205,0.04051137,0.1347301,0.03363541,0.01932208,0.03106083],"study_design_scores_gemma":[0.0007631659,0.0002756861,0.9749898,0.00001003679,0.00001489115,0.000009246554,0.0001237569,0.000317056,0.001288037,0.003146298,0.0188844,0.0001776709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891114,0.0002173721,0.008363771,0.0005826045,0.000190696,0.0002166931,0.000161995,0.00001654646,0.001138954],"genre_scores_gemma":[0.9956983,0.00001693613,0.002848424,0.0001274978,0.0001989494,0.00000570367,0.0008877071,0.000003789451,0.0002127455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.241836,"threshold_uncertainty_score":0.4242522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045605485042517,"score_gpt":0.2502088020406447,"score_spread":0.2397527471902196,"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."}}