{"id":"W2148795207","doi":"10.1890/10-0394.1","title":"A strong test of a maximum entropy model of trait-based community assembly","year":2010,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Université de Sherbrooke","funders":"Rocky Mountain Research Station; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"Quadrat; Relative species abundance; Ecology; Statistics; Abundance (ecology); Understory; Trait; Context (archaeology); Environmental science; Mathematics; Biology; Transect","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":[],"consensus_categories":[],"category_scores_codex":[0.0002929674,0.00006854393,0.0001762108,0.00002846088,0.000116063,0.000001125326,0.0001970455,0.0001026396,0.0006686099],"category_scores_gemma":[0.0002059755,0.0000662139,0.00004162526,0.00006342164,0.0005085659,0.00003886274,0.0001041024,0.0002760973,0.00002313983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002378537,"about_ca_system_score_gemma":0.00002367919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001483441,"about_ca_topic_score_gemma":0.01566574,"domain_scores_codex":[0.9994249,0.00008038407,0.000193531,0.0000893129,0.00005906073,0.0001528634],"domain_scores_gemma":[0.9991671,0.0004734088,0.0001344407,0.0001816907,0.00001503699,0.00002833905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001877888,0.0006500601,0.8032641,0.00001461342,0.00001719824,7.255687e-7,0.0004815365,0.02144415,0.1710351,0.002667529,0.0001870714,0.0002191476],"study_design_scores_gemma":[0.0004521812,0.0002543826,0.8345035,0.000001207036,0.00001575488,0.000001028364,0.00008046447,0.1573432,0.003002855,0.004260612,0.0000224,0.00006246129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99212,0.000001267087,0.001452223,0.0002652576,0.00008053929,0.00009442818,0.00002514664,0.00001053001,0.00595063],"genre_scores_gemma":[0.9952858,7.382959e-7,0.004451081,0.0001147858,0.000003745586,0.00002238212,0.000005128632,0.00000459265,0.0001117596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680322,"threshold_uncertainty_score":0.8741853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495411978029883,"score_gpt":0.2436944747080344,"score_spread":0.2287403549277356,"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."}}