{"id":"W2140644443","doi":"10.1098/rspb.2006.3498","title":"Regional heterogeneity and gene flow maintain variance in a quantitative trait within populations of lodgepole pine","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Forest ecology and management","field":"Environmental Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gene flow; Pinus contorta; Trait; Variance (accounting); Biology; Evolutionary biology; Geography; Ecology; Gene; Genetic variation; Genetics; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007370338,0.0001406058,0.0002168958,0.0005477974,0.0003176284,0.0004804266,0.0002351105,0.0001853045,0.000273429],"category_scores_gemma":[0.001782157,0.0001529163,0.0002333838,0.0003459227,0.0006770087,0.0003183484,0.0003146038,0.0002527401,0.00006250732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002813063,"about_ca_system_score_gemma":0.0001308932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002766246,"about_ca_topic_score_gemma":0.006170454,"domain_scores_codex":[0.9996283,0.0001124589,0.00002073468,0.0001518053,0.00004489301,0.00004172494],"domain_scores_gemma":[0.9988571,0.0004484287,0.0003213287,0.0001994834,0.00009000971,0.00008353932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002194083,0.00006301473,0.9306369,0.00003258211,0.0004307108,0.0001638679,0.001150674,0.002147154,0.05119128,0.0004048648,0.00008305911,0.01347644],"study_design_scores_gemma":[0.000006943135,0.00004582784,0.9967524,0.000003709835,0.00004651256,0.000114315,0.0002019876,0.001561751,0.0008197332,0.0003218231,0.0001159264,0.000009051481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996585,0.00004515091,0.0002075599,0.000006373426,4.640457e-7,7.306984e-7,0.00001315189,0.000002433899,0.00006565542],"genre_scores_gemma":[0.9997715,0.00001594509,0.0001431058,0.000004553716,0.000002138071,0.000001145844,0.00003658531,0.000001288492,0.00002377402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002766246,"threshold_uncertainty_score":0.005500317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183142908774307,"score_gpt":0.2552010329972016,"score_spread":0.2233696039094585,"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."}}