{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006422613,0.0001074183,0.0001296711,0.000003359959,0.0004932272,0.00005868597,0.0003767751,0.00005830054,0.0001210638],"category_scores_gemma":[0.0001090017,0.00008325434,0.00004532752,0.00005228557,0.0001312144,0.000722365,0.0001289134,0.00006461266,0.0002659292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006789102,"about_ca_system_score_gemma":0.00000301522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00254458,"about_ca_topic_score_gemma":0.001240574,"domain_scores_codex":[0.999132,0.0001100495,0.0001469487,0.0002256597,0.0002116786,0.0001737082],"domain_scores_gemma":[0.9988858,0.0002592113,0.0003588458,0.0004610698,0.00001151998,0.00002352284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003502647,0.0003577556,0.8156448,0.0007012835,0.00008982818,0.000006018875,0.005066602,0.001234735,0.04214334,0.005400163,0.01563555,0.1133697],"study_design_scores_gemma":[0.0005302412,0.00006210816,0.9766957,0.0001930656,0.00002023465,0.00000310058,0.0002348254,0.01240345,0.0076436,0.000176362,0.001903752,0.0001336016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497761,0.00007929563,0.001581844,0.0002322207,0.0002654066,0.0006582775,0.00004182697,0.00002949037,0.04733553],"genre_scores_gemma":[0.9992317,0.00002675564,0.0004557155,0.00001971549,0.00005406444,0.00007526198,0.00002821388,0.00001301093,0.00009553786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610509,"threshold_uncertainty_score":0.384666,"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."}}