{"id":"W2474654710","doi":"10.1023/a:1013312510860","title":"Refugial isolation versus ecological gradients","year":2001,"lang":"en","type":"article","venue":"Genetica","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; San Francisco State University; National Science Foundation","keywords":"Biology; Gene flow; Rainforest; Divergence (linguistics); Genetic divergence; Ecological speciation; Ecology; Natural selection; Evolutionary biology; Reproductive isolation; Geographical distance; Habitat; Population; Genetic variation; Genetic diversity; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004839962,0.00009606204,0.00007024831,0.00002510688,0.0001019111,0.00001777474,0.0001309231,0.0001561685,0.0003477674],"category_scores_gemma":[0.00003730039,0.00009460745,0.00005689867,0.00007088804,0.0000515684,0.000001606201,0.00008119619,0.00005023247,0.00009127677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008300985,"about_ca_system_score_gemma":0.00001853607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003140049,"about_ca_topic_score_gemma":0.00001850168,"domain_scores_codex":[0.9993137,0.00003706567,0.0001085978,0.0002444838,0.0001102563,0.0001859632],"domain_scores_gemma":[0.9996266,0.000005504605,0.00003617088,0.0002054755,0.00004489105,0.00008136327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005103655,0.0005413537,0.3050711,0.00002733615,0.0004283101,0.00005989788,0.0003837002,0.005506394,0.5570225,0.004275934,0.05269291,0.06888688],"study_design_scores_gemma":[0.001978837,0.0007537384,0.377279,0.000002190617,0.00004062923,0.00002559718,0.00004414002,0.0001503093,0.008067545,0.0004468895,0.6109127,0.0002983952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898239,0.0001085572,0.001053775,0.0001524885,0.0005777176,0.0000932726,0.000008313739,0.00001389696,0.008168044],"genre_scores_gemma":[0.9961405,0.0001000085,0.001978257,0.0001854602,0.000317897,0.000003468666,0.0001361167,0.000007189323,0.001131098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582198,"threshold_uncertainty_score":0.385798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927972422420932,"score_gpt":0.2545039015894391,"score_spread":0.2352241773652298,"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."}}