{"id":"W2319178598","doi":"","title":"LIFE CYCLE IMPACTS OF NORTH AMERICAN WOOD PANEL MANUFACTURING","year":2016,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; FPInnovations; U.S. Department of Agriculture","keywords":"Life-cycle assessment; Environmental science; Environmental impact assessment; Waste management; Primary energy; Life cycle inventory; Greenhouse gas; Energy consumption; Global-warming potential; Cellulosic ethanol; Resource (disambiguation); Softwood; Production (economics); Environmental engineering; Engineering; Pulp and paper industry; Renewable energy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005337974,0.0003778416,0.0001301581,0.001021827,0.000468308,0.0007681172,0.0003182807,0.000204557,0.0020011],"category_scores_gemma":[0.0004750225,0.0001369114,0.0004483878,0.001884145,0.0001956943,0.0004066873,0.0003830325,0.0001890585,0.0002026242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228029,"about_ca_system_score_gemma":0.0007889167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06617779,"about_ca_topic_score_gemma":0.2208515,"domain_scores_codex":[0.9996198,0.00009213996,0.00001258552,0.00006241872,0.0001567418,0.00005618835],"domain_scores_gemma":[0.9996361,0.00008735275,0.00007074244,0.00002714705,0.0001580543,0.00002059785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00101951,0.0006841634,0.4888114,0.0008682854,0.0006561023,0.001787545,0.001524839,0.1660605,0.03624921,0.002847024,0.007820664,0.2916708],"study_design_scores_gemma":[0.00001638752,0.0005735054,0.9201685,0.0000974267,0.0002816166,0.0003532695,0.002460573,0.02006679,0.02072441,0.001116282,0.03407379,0.00006749439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818498,0.0007231297,0.0006187239,0.00009942678,0.000007149422,0.00003471314,0.001177585,0.00002840316,0.01546102],"genre_scores_gemma":[0.9920636,0.001051253,0.00138355,0.00006706737,0.000003315638,0.00003874217,0.001726891,0.000009821923,0.003655779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9338222,"threshold_uncertainty_score":0.1315852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006605366133825735,"score_gpt":0.2145365255893756,"score_spread":0.2079311594555499,"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."}}