{"id":"W2503099208","doi":"10.1533/9781845694579.273","title":"Life-cycle assessment (LCA) of wood–polymer composites: a case study","year":2008,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Connaught Fund; University of Toronto","keywords":"Life-cycle assessment; Greenhouse gas; Global-warming potential; Environmental science; Service life; Environmental impact assessment; Waste management; Global warming; Materials science; Composite material; Engineering; Climate change; Production (economics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003044038,0.0008007687,0.001333867,0.0003150176,0.0002907582,0.0001030591,0.0007816266,0.0003625322,0.0007663732],"category_scores_gemma":[0.00001844343,0.000714663,0.0003994546,0.0000381795,0.0003311622,0.0001321369,0.0005945344,0.0006995661,0.0002792542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614192,"about_ca_system_score_gemma":0.0004336678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003125765,"about_ca_topic_score_gemma":0.00003493024,"domain_scores_codex":[0.9962718,0.0001134113,0.001229243,0.0008484086,0.001016113,0.0005209526],"domain_scores_gemma":[0.9969431,0.0002354927,0.0008374992,0.001311301,0.0002482046,0.0004244473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004118675,0.0007225628,0.0001242507,0.001126233,0.002023187,0.0303574,0.00951277,0.0002318745,0.2896041,0.005352363,0.001588494,0.6589449],"study_design_scores_gemma":[0.01294423,0.008731712,0.00008704232,0.004911639,0.005034647,0.02894907,0.001400176,0.0007736362,0.2658227,0.003110288,0.6562305,0.01200431],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.212176,0.002423565,0.00000524697,0.00002581699,0.0005884097,0.001690757,0.00009685223,0.0001740517,0.7828193],"genre_scores_gemma":[0.3528871,0.00003128614,0.001181954,0.0002563089,0.000276654,0.00007233136,0.00002113458,0.0001517318,0.6451215],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.654642,"threshold_uncertainty_score":0.9995304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874930442076918,"score_gpt":0.2712673358523615,"score_spread":0.2525180314315923,"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."}}