{"id":"W3128253939","doi":"10.1111/1365-2745.13614","title":"Diversity and identity of economics traits determine the extent of tree mixture effects on ecosystem productivity","year":2021,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Biodiversity; Ecosystem; Species richness; Productivity; Ecology; Biology; Trait; Forest ecology; Species diversity; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00504062,0.0004774973,0.0007514947,0.001017944,0.000301245,0.0009282937,0.0004032235,0.0003528991,0.001458927],"category_scores_gemma":[0.004559437,0.0002156122,0.001470442,0.0007408597,0.0007939326,0.0006021027,0.00111135,0.0003864547,0.00006924917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179148,"about_ca_system_score_gemma":0.0002274767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367362,"about_ca_topic_score_gemma":0.002184496,"domain_scores_codex":[0.9981707,0.001013013,0.00014581,0.0004679199,0.0001432513,0.00005932402],"domain_scores_gemma":[0.9919136,0.005299936,0.001164967,0.001089403,0.0002921248,0.0002401091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001889172,0.0001644391,0.8829333,0.001896394,0.03796563,0.0001694025,0.0004286838,0.001903094,0.03653609,0.001378367,0.0002040203,0.0345314],"study_design_scores_gemma":[0.00003885342,0.0004100388,0.9805223,0.0001431446,0.0099177,0.00008867213,0.0002773821,0.002314695,0.003955256,0.001451925,0.0008532848,0.00002668274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834893,0.0120987,0.003214141,0.00008799324,0.00003157921,0.00001407771,0.0002416838,0.00002257075,0.0008000729],"genre_scores_gemma":[0.9985425,0.000557321,0.0007020051,0.00002917712,0.000006695133,0.000006343354,0.00006642255,0.000004038785,0.00008561814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00504062,"threshold_uncertainty_score":0.02665764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00939905724032533,"score_gpt":0.2133469997335822,"score_spread":0.2039479424932569,"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."}}