{"id":"W4290018568","doi":"10.1111/1365-2664.14267","title":"Emerging stability of forest productivity by mixing two species buffers temperature destabilizing effect","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Research Committee, Aristotle University of Thessaloniki; Agentúra na Podporu Výskumu a Vývoja; Horizon 2020 Framework Programme; Ministerstwo Edukacji i Nauki; Eesti Teadusagentuur","keywords":"Productivity; Mixing (physics); Environmental science; Ecology; Stability (learning theory); Agroforestry; Atmospheric sciences; Biology; Economics; Physics; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003283147,0.0001405054,0.0003743958,0.00007186939,0.0003038582,0.000007870084,0.0003280016,0.00005051604,0.002387783],"category_scores_gemma":[0.0001348523,0.0001258162,0.00009775161,0.0002343096,0.0002909311,0.0001200789,0.0004286774,0.0004800702,0.000006043767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664173,"about_ca_system_score_gemma":0.00002435027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002120635,"about_ca_topic_score_gemma":0.0003952828,"domain_scores_codex":[0.9984503,0.0002868069,0.0004313754,0.0002490252,0.0002744136,0.0003081083],"domain_scores_gemma":[0.9989536,0.0003105867,0.0004626536,0.0001973746,0.00001288218,0.00006293927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006874914,0.0005662303,0.717504,0.00008060141,0.0001127787,0.0000298131,0.001055602,0.04809925,0.2194586,0.001692508,0.00919105,0.001522194],"study_design_scores_gemma":[0.003852407,0.004679866,0.8593576,0.0000122415,0.0002353412,0.0001216299,0.003422834,0.000467878,0.08736371,0.01181042,0.02802993,0.0006461248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954249,0.00002786564,0.0001212234,0.0004288253,0.0004198254,0.0003690038,0.000003819958,0.000009778191,0.003194775],"genre_scores_gemma":[0.9992731,0.000005400861,0.0004301281,0.000151065,0.00004506226,0.00003496521,0.000002891986,0.00001127665,0.00004608726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418537,"threshold_uncertainty_score":0.9985242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004725028865329234,"score_gpt":0.2061736832831703,"score_spread":0.201448654417841,"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."}}