{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001111157,0.0002171089,0.0003218924,0.0001757296,0.0005589942,0.00004553262,0.0008892521,0.00007037799,0.00006384436],"category_scores_gemma":[0.0003234543,0.0001472282,0.00006299413,0.002328985,0.02584626,0.001212307,0.001153107,0.0001534985,0.00001357142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949537,"about_ca_system_score_gemma":0.0001812755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002048806,"about_ca_topic_score_gemma":0.00004810704,"domain_scores_codex":[0.9972281,0.00001280403,0.0003234231,0.0007566223,0.0008838201,0.000795223],"domain_scores_gemma":[0.9986371,0.00004442407,0.0002530725,0.0005410883,0.00004553835,0.0004787808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001320236,0.0001993472,0.5172357,0.000038173,0.00001324472,0.000001595119,0.001183295,0.000007665968,0.2457145,0.0000898149,0.0001927662,0.2353108],"study_design_scores_gemma":[0.0003889439,0.0004588926,0.7633946,0.00002743003,0.00001348864,0.00001391183,0.001664018,0.000108754,0.2324455,0.0006916214,0.0005200249,0.0002728195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966781,0.00004524259,0.00003065372,0.002407263,0.00002799075,0.0002063422,0.00001146342,0.00004839155,0.0005445387],"genre_scores_gemma":[0.9970207,0.0002384938,0.002443834,0.0002025056,0.000007538939,0.000006018476,1.887871e-7,0.000007378136,0.000073384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2461589,"threshold_uncertainty_score":0.9768049,"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."}}