{"id":"W2477903795","doi":"10.1111/gcbb.12387","title":"Climate change mitigation potential of local use of harvest residues for bioenergy in Canada","year":2016,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Government of Canada","keywords":"Bioenergy; Environmental science; Climate change; Climate change mitigation; Electricity; Greenhouse gas; Agroforestry; Environmental protection; Biofuel; Ecology; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002479666,0.0004889717,0.0002475039,0.0005646123,0.0008519475,0.001003723,0.0007232195,0.000282172,0.001576761],"category_scores_gemma":[0.0004788705,0.0001872185,0.0007666736,0.001080028,0.0004280313,0.000379907,0.0004540821,0.0003281838,0.0001196725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02528945,"about_ca_system_score_gemma":0.01574402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881572,"about_ca_topic_score_gemma":0.9906451,"domain_scores_codex":[0.9997906,0.00001824781,0.000004880562,0.00003418213,0.0000591681,0.00009297739],"domain_scores_gemma":[0.9997045,0.00003343685,0.00003415573,0.00001318653,0.0001646622,0.00004993069],"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":[0.0002855304,0.0000683836,0.3682179,0.0001500551,0.0003722607,0.0002716595,0.0001879119,0.6061873,0.003788369,0.002074594,0.003083487,0.01531261],"study_design_scores_gemma":[0.00007267089,0.00008264666,0.4339318,0.00008039555,0.0002692329,0.00008322935,0.001505785,0.5513347,0.003865984,0.001058322,0.007600089,0.0001151425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894493,0.000342488,0.001225182,0.0002429009,0.000006442457,0.00002109075,0.003946992,0.00007092879,0.004694669],"genre_scores_gemma":[0.9974406,0.0001508096,0.0005354652,0.00002358805,0.00000103463,0.000006218516,0.00093491,0.000006358084,0.0009010371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02528945,"threshold_uncertainty_score":0.1834886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750190760569962,"score_gpt":0.2091647839042906,"score_spread":0.191662876298591,"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."}}