{"id":"W2121119057","doi":"10.1111/j.1461-0248.2010.01476.x","title":"How do traits vary across ecological scales? A case for trait‐based ecology","year":2010,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":830,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ecology; Trait; Community; Interspecific competition; Biology; Variation (astronomy); Functional ecology; Explained variation; Rainforest; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000542295,0.0002658594,0.0003650977,0.00005193555,0.0008278128,0.0000441599,0.00032646,0.00047498,0.0009821523],"category_scores_gemma":[0.0003303531,0.0002454555,0.0001756491,0.0001403254,0.00144679,0.0001744757,0.0001612781,0.0005201057,0.000148091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419639,"about_ca_system_score_gemma":0.0000184477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001112938,"about_ca_topic_score_gemma":0.03213602,"domain_scores_codex":[0.9979852,0.0001389601,0.0002772789,0.000649419,0.00009116317,0.0008579698],"domain_scores_gemma":[0.9983442,0.001125632,0.000159253,0.0002087475,0.00001838523,0.0001438196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002247189,0.001306164,0.8969634,0.00004493226,0.000252925,0.00327386,0.00119982,0.002947333,0.04889543,0.001817875,0.03901275,0.004060775],"study_design_scores_gemma":[0.001747936,0.00038242,0.9883772,7.479318e-7,0.00004693347,0.0007090869,0.0001371821,0.002498881,0.0001162797,0.0007559987,0.00488473,0.0003426666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550434,0.000002948401,0.001218601,0.0414691,0.001032466,0.0006550059,0.00007525616,0.00009002287,0.0004131565],"genre_scores_gemma":[0.9753725,0.000001027169,0.006760042,0.0169852,0.0001172566,0.0004413918,0.00002116772,0.00002201003,0.0002794084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09141372,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029145214553507,"score_gpt":0.249455142613808,"score_spread":0.2391636904682729,"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."}}