{"id":"W3096490894","doi":"","title":"Response and development: Canada's forestry under global climate change.","year":2017,"lang":"en","type":"article","venue":"Shijie linye yanjiu","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Forestry; Agroforestry; Geography; Environmental resource management; Environmental protection; Environmental science; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009092487,0.0002673367,0.0001401975,0.0005510878,0.005195235,0.002908571,0.0008224271,0.002199291,0.007729732],"category_scores_gemma":[0.002128834,0.0001002554,0.0002729961,0.001006092,0.001423198,0.0008101399,0.00147286,0.002223732,0.0003099458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04424084,"about_ca_system_score_gemma":0.1558905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861498,"about_ca_topic_score_gemma":0.996712,"domain_scores_codex":[0.9979882,0.0001770059,0.00002548385,0.00006658979,0.0004589978,0.001283789],"domain_scores_gemma":[0.9983871,0.0000917832,0.00004508553,0.00001842599,0.0006695509,0.0007880199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003777864,0.0002359872,0.07069199,0.0004417154,0.0001343327,0.00107451,0.005526405,0.00577901,0.001987711,0.1312809,0.6658906,0.116579],"study_design_scores_gemma":[0.00007070343,0.00007281748,0.2281879,0.0003545755,0.00009797569,0.0001590483,0.02663802,0.003492857,0.001032541,0.01561881,0.7241741,0.0001005036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2000825,0.01676591,0.0009179269,0.504974,0.002407999,0.0001742343,0.006409877,0.0001130546,0.2681544],"genre_scores_gemma":[0.8587154,0.007225944,0.000972619,0.0276082,0.000240036,0.00006508968,0.001056866,0.00003809399,0.1040779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04424084,"threshold_uncertainty_score":0.3209913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613773301458203,"score_gpt":0.2631267949116248,"score_spread":0.2369890618970427,"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."}}