{"id":"W2774098203","doi":"10.1002/ecs2.1981","title":"Climate change mitigation through adaptation: the effectiveness of forest diversification by novel tree planting regimes","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; Government of British Columbia","funders":"","keywords":"Climate change; Environmental science; Ecosystem; Forest restoration; Forest ecology; Agroforestry; Ecosystem services; Temperate rainforest; Forest management; Carbon sequestration; Psychological resilience; Ecology; Tree planting; Environmental resource management; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001015548,0.0003008205,0.0002532677,0.0003210115,0.000413832,0.0009736833,0.0006394056,0.0003990961,0.00144928],"category_scores_gemma":[0.002413481,0.0001328978,0.0003749695,0.000397988,0.0005608885,0.0005511748,0.0006100411,0.0003198153,0.00006283974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831005,"about_ca_system_score_gemma":0.000936018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04127622,"about_ca_topic_score_gemma":0.06639288,"domain_scores_codex":[0.9996482,0.0001720131,0.00001391783,0.00006005458,0.00002753382,0.00007825992],"domain_scores_gemma":[0.9991374,0.0003538739,0.0001925525,0.00008024587,0.0000940199,0.0001418496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007518234,0.0003947319,0.2182082,0.0001347468,0.0003584333,0.0002583319,0.0001940419,0.7305638,0.0174312,0.004125405,0.0006462958,0.0269329],"study_design_scores_gemma":[0.00008426693,0.0006435484,0.3416515,0.00003518465,0.000251284,0.00008941983,0.000615544,0.6490219,0.002325085,0.003630603,0.001600098,0.00005154034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971719,0.00006061658,0.0008844707,0.0000586273,0.000003557131,0.0000101685,0.00006343489,0.00001420447,0.00173304],"genre_scores_gemma":[0.9995909,0.0000220528,0.0002935689,0.000008679812,8.204518e-7,0.000003502366,0.00001928448,0.000002091502,0.00005913811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04127622,"threshold_uncertainty_score":0.0820719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121893324515299,"score_gpt":0.2307146827764379,"score_spread":0.2094957495312849,"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."}}