{"id":"W2040267049","doi":"10.1016/j.envsci.2009.12.005","title":"Meta-analysis of greenhouse gas displacement factors of wood product substitution","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":525,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations","funders":"Natural Resources Canada; Mittuniversitetet; FPInnovations; European Commission; Government of Canada","keywords":"Greenhouse gas; Environmental science; Biomass (ecology); Displacement (psychology); Range (aeronautics); Pulp and paper industry; Materials science; Engineering; Agronomy; Composite material; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.04075933,0.004126854,0.01007573,0.00348668,0.001358329,0.004295797,0.004570917,0.004757292,0.008298102],"category_scores_gemma":[0.07505213,0.002987028,0.0718715,0.005078977,0.00176772,0.002440203,0.002955635,0.003660012,0.0008289911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908681,"about_ca_system_score_gemma":0.002046149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01481913,"about_ca_topic_score_gemma":0.01620649,"domain_scores_codex":[0.9425954,0.04193452,0.005519907,0.00680666,0.001816471,0.001327028],"domain_scores_gemma":[0.8993184,0.07726594,0.008104953,0.0117659,0.002341759,0.001203144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.008387812,0.00002119823,0.01621636,0.003450531,0.9688967,0.0001190097,0.00006065606,0.0006154703,0.00020277,0.0001469631,0.0002278546,0.0016547],"study_design_scores_gemma":[0.001581499,0.0005296251,0.01033392,0.0005094667,0.9846491,0.0001714892,0.00007661896,0.0007324994,0.0002186159,0.0004128517,0.0007492928,0.00003495729],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4396055,0.5281547,0.01828521,0.001725847,0.002753941,0.0004928704,0.006431556,0.0004714782,0.002078827],"genre_scores_gemma":[0.9816908,0.01143336,0.003834663,0.0006697777,0.0002748264,0.0002348127,0.0009304681,0.0001278415,0.0008035164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04075933,"threshold_uncertainty_score":0.2155585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240427155716962,"score_gpt":0.2811777937370524,"score_spread":0.2571350781653562,"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."}}