{"id":"W2103013834","doi":"10.1111/nph.12601","title":"Geographical and environmental gradients shape phenotypic trait variation and genetic structure in <i><scp>P</scp>opulus trichocarpa</i>","year":2013,"lang":"en","type":"article","venue":"New Phytologist","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":244,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Office of Science; Genome British Columbia; Genome Canada; U.S. Department of Energy","keywords":"Biology; Populus trichocarpa; Population; Heritability; Genetic variation; Phenology; Phenotypic trait; Ecology; Ecophysiology; Genetic structure; Botany; Genetics; Phenotype; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002375259,0.0002617477,0.0002178389,0.0007114012,0.0002838173,0.0004598485,0.000275139,0.0002238817,0.000837261],"category_scores_gemma":[0.000437999,0.0001725018,0.0002092345,0.0006772217,0.0003768818,0.0001229473,0.0003537838,0.0002565357,0.0001323167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005649186,"about_ca_system_score_gemma":0.0003511069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03383927,"about_ca_topic_score_gemma":0.08710634,"domain_scores_codex":[0.9997658,0.00004475776,0.00001402238,0.0001035815,0.00003660122,0.00003523384],"domain_scores_gemma":[0.9996346,0.0001059526,0.0001029672,0.00003289404,0.0000638609,0.0000597319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004026706,0.0000685895,0.5920719,0.00008625034,0.0004150991,0.0004939553,0.001117649,0.001162168,0.3895478,0.0003597481,0.0003507476,0.01392341],"study_design_scores_gemma":[0.000004199722,0.00001420604,0.9982535,0.000002430798,0.00001755035,0.0000928596,0.0001073678,0.0005710532,0.0006672785,0.00003892342,0.0002251114,0.000005479638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99944,0.00003142041,0.0001717519,0.000006738082,4.93886e-7,0.000003182146,0.0001506775,0.000007693325,0.0001879688],"genre_scores_gemma":[0.9989888,0.00003404042,0.00031474,0.00001191003,0.000001056652,0.000006283755,0.0004719311,0.00001052025,0.0001606811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03383927,"threshold_uncertainty_score":0.06728464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005488558459748332,"score_gpt":0.1927193086175876,"score_spread":0.1872307501578393,"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."}}