{"id":"W2928052381","doi":"10.1111/ele.13259","title":"Species‐rich boreal forests grew more and suffered less mortality than species‐poor forests under the environmental change of the past half‐century","year":2019,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Biodiversity; Taiga; Ecology; Climate change; Biomass (ecology); Ecosystem; Species diversity; Geography; Forest ecology; Global biodiversity; Boreal; Environmental change; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002261891,0.000488797,0.0004831401,0.000066237,0.0002782882,0.00004843732,0.0009284299,0.0005964761,0.0007810209],"category_scores_gemma":[0.000005702655,0.0003081442,0.0002251719,0.000142149,0.001594663,0.0001497184,0.0008852228,0.001214352,0.0001455977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428882,"about_ca_system_score_gemma":0.00001330359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007078563,"about_ca_topic_score_gemma":0.005566388,"domain_scores_codex":[0.9973023,0.0002647178,0.0004183621,0.0006694712,0.0005986323,0.0007465014],"domain_scores_gemma":[0.9984682,0.0001991968,0.0004124679,0.0008601072,0.000003829407,0.00005621656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000949803,0.00003839594,0.8742544,0.00002606921,0.0001240898,0.00005655961,0.0002620603,0.0001933621,0.0001679668,0.00002043608,0.1248069,0.00004032506],"study_design_scores_gemma":[0.0003318841,0.00003652278,0.9510351,0.00001813365,0.00017068,0.00005166443,0.00006332293,0.0005403598,0.00001159203,0.00004396658,0.04736257,0.0003342165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7703572,0.0000335418,0.00001056935,0.2270515,0.0006425465,0.0008585242,0.0004378574,0.00001573529,0.0005925034],"genre_scores_gemma":[0.8479493,0.00008095524,0.00001046255,0.1479655,0.0006498453,0.00007117364,0.0006285115,0.00005257916,0.002591609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07908598,"threshold_uncertainty_score":0.9999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740961001162951,"score_gpt":0.2004583423202058,"score_spread":0.1830487323085763,"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."}}