{"id":"W2614117688","doi":"10.1111/ele.12780","title":"Sexual selection, speciation and constraints on geographical range overlap in birds","year":2017,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK; Royal Society","keywords":"Parapatric speciation; Sympatry; Genetic algorithm; Sexual selection; Biology; Ecological speciation; Evolutionary biology; Disruptive selection; Sympatric speciation; Ecology; Incipient speciation; Plumage; Range (aeronautics); Selection (genetic algorithm); Natural selection; Gene flow; Genetic variation; Genetics","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":[0.0001396633,0.0002078319,0.0003092921,0.0000456039,0.0002880049,0.00005905957,0.0001626908,0.0005028336,0.0002228185],"category_scores_gemma":[0.00005105264,0.00009202998,0.00005286135,0.00007733049,0.0003396627,0.00004987476,0.00004947191,0.0008027878,0.00004289538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004109533,"about_ca_system_score_gemma":0.000004223348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001668559,"about_ca_topic_score_gemma":0.00844478,"domain_scores_codex":[0.9988267,0.00009702102,0.0001655012,0.0004133458,0.0001342839,0.000363194],"domain_scores_gemma":[0.99947,0.0003277506,0.0001352164,0.00002283259,0.00001615619,0.0000280667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001864568,0.00001836528,0.4901021,0.000006006275,0.0000336427,0.0001744683,0.00001320112,1.24089e-7,0.003121637,0.00000727827,0.5043404,0.002164068],"study_design_scores_gemma":[0.000157446,0.0002017055,0.8732314,0.00001343672,0.00001375529,0.00002778669,0.00001119397,0.000002239371,0.000006396886,0.00002890444,0.1261187,0.0001869791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6180848,0.00001557478,4.076335e-8,0.3812009,0.0001412769,0.0001095787,0.00005037193,0.00002419644,0.0003732356],"genre_scores_gemma":[0.6212078,0.00006472372,0.000005308199,0.3747415,0.003625786,0.00002182649,0.0001203202,0.000001860579,0.0002108114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3831293,"threshold_uncertainty_score":0.4712386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599089392693161,"score_gpt":0.2108815926696439,"score_spread":0.1848906987427123,"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."}}