{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003450007,0.00007176059,0.0001155208,0.00004751349,0.0001975856,0.000001952679,0.00008319082,0.00005843556,0.001761196],"category_scores_gemma":[0.00009649274,0.00006315533,0.00002989889,0.0000823596,0.0004118852,0.00004487028,0.00004554162,0.0001116928,0.004029131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008279607,"about_ca_system_score_gemma":0.000005374383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004615058,"about_ca_topic_score_gemma":0.001399978,"domain_scores_codex":[0.9994612,0.00005740791,0.000122143,0.0001567883,0.00005094199,0.0001514684],"domain_scores_gemma":[0.9993399,0.0004678169,0.00005763174,0.00009696322,0.000007882643,0.00002979013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001214179,0.00101773,0.9781542,0.00003389865,0.00008714789,0.00001222221,0.0006109657,0.000828059,0.005665638,0.007616824,0.004413203,0.001438714],"study_design_scores_gemma":[0.0003059794,0.001400591,0.9914613,0.000007658662,0.00001789601,0.000004752182,0.00001239476,0.002423595,0.003535409,0.0004743989,0.0002986814,0.00005730789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769558,0.000001618595,0.00003352307,0.000490836,0.0005407493,0.000128989,0.000001989254,0.00001441356,0.02183204],"genre_scores_gemma":[0.998266,0.000007623898,0.00009943468,0.0004918583,0.00003690779,0.00001788436,0.000002440485,0.000004205504,0.001073675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02131013,"threshold_uncertainty_score":0.9991513,"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."}}