{"id":"W2125048077","doi":"10.1371/journal.pone.0106512","title":"A Tale of Two Morphs: Modeling Pollen Transfer, Magic Traits, and Reproductive Isolation in Parapatry","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Reproductive isolation; Biology; Parapatric speciation; Pollen; Pollinator; Ecological speciation; Evolutionary biology; Pollination; Reproductive success; Gene flow; Ecology; Genetics; Population; Genetic variation","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":[0.0009108928,0.0005291394,0.0005728547,0.0008694515,0.0006709711,0.001124157,0.001249896,0.001888285,0.002003173],"category_scores_gemma":[0.003119614,0.0004433776,0.000952342,0.000502325,0.001702698,0.001068635,0.001520104,0.0009522951,0.0001662251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007432328,"about_ca_system_score_gemma":0.0004955199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007664474,"about_ca_topic_score_gemma":0.005506518,"domain_scores_codex":[0.9998018,0.0001202928,0.000007352657,0.00002992057,0.00001280891,0.00002789568],"domain_scores_gemma":[0.9984204,0.001052088,0.0001824909,0.00007773361,0.00004779625,0.0002195757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009913005,0.0001046541,0.01822379,0.00007201356,0.0001630589,0.0006103304,0.0002054208,0.9280598,0.002746865,0.04367109,0.001013774,0.005030048],"study_design_scores_gemma":[0.00001933848,0.00002961078,0.001638797,0.00000675076,0.00002316083,0.00005690327,0.00004622027,0.9836798,0.00005727977,0.01419707,0.0002321909,0.00001297906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8667663,0.0008215284,0.1166692,0.004793405,0.00007926088,0.00006407378,0.0002755384,0.0001762274,0.01035459],"genre_scores_gemma":[0.984118,0.000262286,0.01280207,0.0003712796,0.00007771156,0.00007616416,0.00006995517,0.00005407981,0.002168456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007664474,"threshold_uncertainty_score":0.01523972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07839398034277816,"score_gpt":0.2054129454394682,"score_spread":0.12701896509669,"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."}}