{"id":"W2892305429","doi":"10.1002/ajb2.1146","title":"Similarities and differences in intrapopulation trait correlations of co‐occurring tree species: consistent water‐use relationships amid widely different correlation patterns","year":2018,"lang":"en","type":"article","venue":"American Journal of Botany","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Rural Development Administration","keywords":"Biology; Trait; Correlation; Evolutionary biology; Tree (set theory); Genetic correlation; Ecology; Genetics; Genetic variation; Gene","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":[0.001015952,0.0002728431,0.000447611,0.001826225,0.000467893,0.0006824164,0.0004164576,0.0003581825,0.001166583],"category_scores_gemma":[0.003838775,0.0002454621,0.0003492749,0.001427273,0.0009128907,0.0006393288,0.0007592053,0.0004508692,0.0002271451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234032,"about_ca_system_score_gemma":0.0001997364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217963,"about_ca_topic_score_gemma":0.001946223,"domain_scores_codex":[0.9992141,0.0002170093,0.00007165659,0.0003285827,0.00009414394,0.00007455386],"domain_scores_gemma":[0.9949691,0.002325758,0.001328138,0.0006003375,0.000427063,0.0003495723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001938623,0.00005115988,0.9430596,0.00006309112,0.0004889927,0.00008658903,0.0009073233,0.0006288649,0.04692392,0.0004214675,0.0001064535,0.007068717],"study_design_scores_gemma":[0.000002787273,0.00004185124,0.9970323,0.000003094981,0.0000410485,0.0001192719,0.000157092,0.001472426,0.0008065181,0.000209043,0.0001050875,0.000009397792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983802,0.00008865847,0.001120885,0.000009113629,0.000001407983,0.000004087475,0.0001079252,0.00001202624,0.0002756153],"genre_scores_gemma":[0.9994004,0.00001592972,0.000388713,0.000004885413,0.000002319274,0.000005704474,0.0001412043,0.000006091731,0.00003477542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001826225,"threshold_uncertainty_score":0.005372882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015723330351519,"score_gpt":0.2378971346823109,"score_spread":0.2077399013787957,"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."}}