{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018198,0.00008565462,0.0002056624,0.0003551045,0.0003646622,0.0007235411,0.0003231227,0.001609539,0.00173779],"category_scores_gemma":[0.004072926,0.00008229649,0.00009362146,0.0005513287,0.001513854,0.0005829748,0.0004485154,0.0006529133,0.0007774764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004165467,"about_ca_system_score_gemma":0.0001242723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070657,"about_ca_topic_score_gemma":0.002574763,"domain_scores_codex":[0.9995735,0.0002124174,0.00002248211,0.00008597964,0.00006745339,0.00003805555],"domain_scores_gemma":[0.9974369,0.001682506,0.0004218709,0.0001434734,0.0001362768,0.0001789828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001060273,0.0001131341,0.7249386,0.0002287495,0.0001419352,0.006940198,0.00124303,0.002094527,0.01163939,0.01262363,0.02084458,0.2181319],"study_design_scores_gemma":[0.00007989824,0.0002512742,0.883786,0.0001550267,0.00005488163,0.01885187,0.001830712,0.005752783,0.00245754,0.03510175,0.05162592,0.00005250379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315147,0.01050775,0.001863888,0.04319719,0.0002243419,0.000006705957,0.000208383,0.00004023885,0.01243668],"genre_scores_gemma":[0.9904665,0.002211394,0.0003912185,0.004688548,0.0006592108,0.000007193893,0.00008486608,0.00001044758,0.001480654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00173779,"threshold_uncertainty_score":0.005813539,"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."}}