{"id":"W2040311342","doi":"10.1111/nph.12943","title":"Wood nitrogen concentrations in tropical trees: phylogenetic patterns and ecological correlates","year":2014,"lang":"en","type":"article","venue":"New Phytologist","topic":"Forest ecology and management","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hardwood; Biology; Phylogenetic tree; Temperate forest; Temperate climate; Nutrient; Temperate rainforest; Ecology; Tropical climate; Ecological succession; Tropical and subtropical dry broadleaf forests; Tropical forest; Ecosystem","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":[0.000364862,0.0001477205,0.0001791547,0.0009287299,0.0003970823,0.0003897369,0.0002349102,0.000187069,0.0007540147],"category_scores_gemma":[0.0007203072,0.0001406227,0.00009585622,0.0008547304,0.0004729926,0.0003332086,0.0005197533,0.000190275,0.0001097679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044087,"about_ca_system_score_gemma":0.0001154036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004863245,"about_ca_topic_score_gemma":0.01152327,"domain_scores_codex":[0.9998255,0.00003165091,0.00001137084,0.00007978939,0.0000192006,0.00003255305],"domain_scores_gemma":[0.9993155,0.0001319937,0.0003498764,0.00004149858,0.00006015207,0.0001009857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007012058,0.00001044386,0.9892032,0.00001384749,0.00003219963,0.00002923694,0.0003776088,0.00006874655,0.007434846,0.00003638595,0.00001277111,0.002710707],"study_design_scores_gemma":[6.054386e-7,0.00001514291,0.9994791,0.000001328036,0.000004114914,0.00004900224,0.0001142009,0.0001062978,0.000159031,0.00002452675,0.00004521239,0.00000166383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996272,0.0001106348,0.00007410582,0.000004184757,3.505492e-7,8.470377e-7,0.00003872795,0.000001188879,0.0001426099],"genre_scores_gemma":[0.9996499,0.00005483362,0.0001348002,0.000006069322,0.000001499053,0.000001679992,0.00009182999,0.00000146878,0.0000579654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004863245,"threshold_uncertainty_score":0.00966984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009582041920500413,"score_gpt":0.21898566091285,"score_spread":0.2094036189923496,"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."}}