{"id":"W2293359720","doi":"10.1111/1365-2435.12621","title":"Functional traits as predictors of vital rates across the life cycle of tropical trees","year":2016,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Smithsonian Tropical Research Institute; McGill University; John D. and Catherine T. MacArthur Foundation; National Science Foundation","keywords":"Biology; Seedling; Juvenile; Trait; Density dependence; Ecology; Life history theory; Interspecific competition; Demography; Life history; Agronomy; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005860883,0.0002444863,0.0001889931,0.00061466,0.0002823246,0.0004186322,0.0001902027,0.0001454246,0.0008599091],"category_scores_gemma":[0.001369627,0.0001206908,0.0003143541,0.0004468786,0.00032305,0.0003250309,0.0003572466,0.0003068676,0.0001092241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223377,"about_ca_system_score_gemma":0.0001508118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006344294,"about_ca_topic_score_gemma":0.008867327,"domain_scores_codex":[0.9999162,0.00002390023,0.00000551,0.00002717949,0.000009466558,0.00001784709],"domain_scores_gemma":[0.9988493,0.0005819225,0.0002889778,0.00006286633,0.0000761983,0.0001407276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008194056,0.000009230312,0.9902025,0.00001782804,0.00005815489,0.00003273488,0.000161986,0.001596707,0.003863838,0.00006989237,0.0000477899,0.003857288],"study_design_scores_gemma":[0.000001378372,0.00004414021,0.9950957,0.00000351555,0.00002097571,0.00006597672,0.0001026605,0.004166324,0.0002917778,0.000108708,0.00009386846,0.0000050166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992073,0.0000647159,0.0003942233,0.00001102734,0.000001086413,0.000001589698,0.0001679029,0.000005978998,0.0001463149],"genre_scores_gemma":[0.9996036,0.00001859955,0.0001888955,0.000002493249,0.000001383534,0.000001460821,0.0001422329,0.000002068881,0.00003918589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006344294,"threshold_uncertainty_score":0.01261473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00861040968980753,"score_gpt":0.2261273404462202,"score_spread":0.2175169307564127,"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."}}