{"id":"W2920822891","doi":"10.1002/ece3.5001","title":"Estimating the impact of divergent mating phenology between residents and migrants on the potential for gene flow","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Gene flow; Phenology; Biology; Pollination; Mating; Population; Reproductive isolation; Ecology; Pollen; Evolutionary biology; Genetic variation; Genetics; Gene; Demography","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":[0.00225614,0.0003440767,0.0003131205,0.0003825921,0.0002501734,0.0004623267,0.0003467718,0.0003409316,0.0003509923],"category_scores_gemma":[0.005103889,0.0002349527,0.0004192728,0.0001400003,0.0003063932,0.0003521604,0.0003698205,0.0004244798,0.00007903133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972035,"about_ca_system_score_gemma":0.0001771901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253337,"about_ca_topic_score_gemma":0.002045122,"domain_scores_codex":[0.9990804,0.0005466002,0.00005147196,0.0001684958,0.0001199283,0.00003309764],"domain_scores_gemma":[0.9913078,0.006480674,0.001026164,0.0006758732,0.0002784322,0.0002310202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001142305,0.000269044,0.6113815,0.00009876671,0.0004008606,0.000101119,0.0001853648,0.02488914,0.3422822,0.0002374889,0.00004898889,0.01896318],"study_design_scores_gemma":[0.00002435654,0.001845406,0.8541935,0.0000122798,0.0001364009,0.0002104591,0.0001268888,0.07540479,0.06758014,0.0002507575,0.0001762791,0.00003885436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957353,0.00003960704,0.004053553,0.000006392148,0.000001714597,0.000008176423,0.00005086173,0.00001090343,0.00009348447],"genre_scores_gemma":[0.9956945,0.00001914997,0.004118549,0.00001007263,0.000002386094,0.0000156308,0.00007846054,0.000004955785,0.00005626896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00225614,"threshold_uncertainty_score":0.01193178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888302223882846,"score_gpt":0.2347832837532647,"score_spread":0.2059002615144362,"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."}}