{"id":"W2902847931","doi":"10.1002/ecy.2537","title":"Effects of biotic interactions on tropical tree performance depend on abiotic conditions","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Smithsonian Tropical Research Institute; Division of Biological Infrastructure; McGill University; Natur og Univers, Det Frie Forskningsråd; Villum Fonden; John D. and Catherine T. MacArthur Foundation; National Science Foundation","keywords":"Abiotic component; Ecology; Trait; Biotic component; Biology; Environmental gradient; Biotic stress; Density dependence; Abiotic stress; Resistance (ecology); Confounding; Habitat; Population; Demography; Mathematics; Statistics","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":[0.0008511709,0.0003794157,0.000360506,0.0003268057,0.0003502098,0.0008042089,0.0003995058,0.0002536613,0.001839332],"category_scores_gemma":[0.001700633,0.0001791835,0.0006727659,0.0004452429,0.0004972357,0.0005830611,0.0006469832,0.0004462837,0.0003919142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004459702,"about_ca_system_score_gemma":0.0002747125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310957,"about_ca_topic_score_gemma":0.02088856,"domain_scores_codex":[0.9995653,0.0001480344,0.0000209651,0.0001782665,0.00003378618,0.00005357036],"domain_scores_gemma":[0.99899,0.0004823063,0.0001859125,0.0001320999,0.00006259309,0.0001469999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009603459,0.00003181946,0.9727085,0.00007948158,0.000337355,0.00008097364,0.0001846408,0.01464384,0.00459175,0.0004277515,0.0004642014,0.006353701],"study_design_scores_gemma":[0.000004833048,0.00004870891,0.9682621,0.00001074908,0.00007506377,0.00008326737,0.0001074542,0.02968064,0.0004850016,0.000544095,0.000682625,0.00001535764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966628,0.0001827747,0.001246454,0.0000605776,0.000005234489,0.000003105079,0.001192697,0.00003870417,0.0006075502],"genre_scores_gemma":[0.9983187,0.00006961945,0.0005217288,0.00001591739,0.000003948377,0.000004806116,0.0009243742,0.00001030715,0.00013072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01310957,"threshold_uncertainty_score":0.02606654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005967927112515646,"score_gpt":0.2434597985091973,"score_spread":0.2374918713966817,"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."}}