{"id":"W2462387183","doi":"10.4018/978-1-5225-0424-5.ch009","title":"Techno-Economic and Life Cycle Assessment for the Production of Green Composites","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in chemical and materials engineering book series","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bagasse; Husk; Life-cycle assessment; Bamboo; Profitability index; Environmental impact assessment; Coir; Pulp and paper industry; Agricultural engineering; Production (economics); Mathematics; Business; Environmental science; Engineering; Materials science; Composite material; Biology; Botany; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005757893,0.0008545882,0.0004015243,0.001546216,0.0002710032,0.001522583,0.0006214302,0.0006080962,0.005384986],"category_scores_gemma":[0.0005392665,0.0002621398,0.0008936572,0.001809571,0.0002096075,0.001196093,0.0004277295,0.0005763359,0.001350356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773025,"about_ca_system_score_gemma":0.0008186869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003062976,"about_ca_topic_score_gemma":0.005309497,"domain_scores_codex":[0.999613,0.00005851211,0.00001100935,0.00003455512,0.0002606911,0.00002223959],"domain_scores_gemma":[0.9998043,0.0000810342,0.000017548,0.00001506645,0.00007571644,0.000006342811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000143538,0.0002538224,0.004190077,0.001614585,0.00009654383,0.0003240424,0.0001025954,0.3782836,0.02318575,0.04606568,0.01326606,0.5324737],"study_design_scores_gemma":[0.00002102783,0.0005801142,0.01099394,0.0006913074,0.0001467897,0.000623912,0.000384619,0.6816671,0.04401469,0.06131195,0.1994293,0.0001351781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104422,0.074107,0.4590182,0.001525416,0.0006786316,0.0007512541,0.004822993,0.0009630512,0.3537115],"genre_scores_gemma":[0.5696603,0.06710619,0.2020974,0.0003025742,0.0002000921,0.0009371047,0.005662015,0.0003979623,0.1536365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005384986,"threshold_uncertainty_score":0.01801455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004898651278037076,"score_gpt":0.1994784404402036,"score_spread":0.1945797891621665,"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."}}