{"id":"W1992809970","doi":"10.1890/13-1059.1","title":"Drivers of carabid functional diversity: abiotic environment, plant functional traits, or plant functional diversity?","year":2014,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Species evenness; Ecology; Species richness; Abiotic component; Trophic level; Biology; Trait; Plant community; Functional diversity; Functional response; Ecosystem; Ordination; Predation; Predator","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002804735,0.0001889007,0.0002740058,0.00009109011,0.001098262,0.000004627178,0.0001877401,0.0001888596,0.01236334],"category_scores_gemma":[0.00006179801,0.0001745238,0.0001035381,0.0001007766,0.0006844518,0.0001589484,0.001221639,0.0002013021,0.0009259068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003080653,"about_ca_system_score_gemma":0.00002627742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008086577,"about_ca_topic_score_gemma":0.001951856,"domain_scores_codex":[0.9985346,0.0001227223,0.0002411228,0.0004360538,0.0003311535,0.0003343226],"domain_scores_gemma":[0.9991609,0.0004214986,0.0001728678,0.0001284615,0.00001458878,0.0001017069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003145445,0.0002344673,0.9654805,0.00001131756,0.0001708046,0.00001324945,0.0004814409,0.01393424,0.0002470886,0.00246776,0.01643986,0.0002046977],"study_design_scores_gemma":[0.001084576,0.0003263679,0.989527,0.000002536886,0.00009069121,0.0000388103,0.00021172,0.002210459,0.00002479318,0.001198067,0.005096653,0.0001883558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990371,0.00001180743,0.003075556,0.001042473,0.001134517,0.0002040277,0.0001732904,0.0000440783,0.003943176],"genre_scores_gemma":[0.9955595,0.0000363604,0.0001987362,0.0006227266,0.00008701949,0.000009827126,0.0001693198,0.000008071791,0.003308497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02404644,"threshold_uncertainty_score":0.999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656890014827922,"score_gpt":0.1736181069065209,"score_spread":0.1570492067582417,"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."}}