{"id":"W2005799493","doi":"10.1080/19397030903311957","title":"Applying CES to assembly and comparing carbon footprints","year":2009,"lang":"en","type":"article","venue":"International Journal of Sustainable Engineering","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon footprint; Carbon fibers; Footprint; Greenhouse gas; Environmental science; Computer science; Geology; Algorithm","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":[0.006313829,0.001197985,0.001022265,0.005653573,0.0007773386,0.002539438,0.001285177,0.0008009002,0.003623443],"category_scores_gemma":[0.02529933,0.0004646621,0.001722746,0.007621866,0.001246889,0.002311807,0.001788703,0.0008966313,0.001042019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001957484,"about_ca_system_score_gemma":0.001048814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006407011,"about_ca_topic_score_gemma":0.003877676,"domain_scores_codex":[0.9939454,0.002317456,0.0003407441,0.0005119523,0.00258934,0.0002951311],"domain_scores_gemma":[0.9878318,0.00584682,0.0006181065,0.002361258,0.003245937,0.00009614469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009289163,0.0001945965,0.05233062,0.001094081,0.0006574229,0.0007390413,0.001454774,0.5133054,0.02192559,0.1424603,0.004955043,0.2599542],"study_design_scores_gemma":[0.00005573582,0.0004349891,0.02607832,0.0001623685,0.0003071868,0.0004549166,0.00153054,0.6692007,0.1552163,0.0904417,0.05591347,0.000203735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2725742,0.0004385851,0.6841268,0.0001897762,0.0001694753,0.0003202197,0.003291476,0.003540011,0.03534958],"genre_scores_gemma":[0.7077428,0.0004545718,0.2822231,0.00007991176,0.00003126391,0.0003660443,0.003801919,0.001095015,0.004205389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006407011,"threshold_uncertainty_score":0.03339112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005658447575965945,"score_gpt":0.2300913972326054,"score_spread":0.2244329496566395,"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."}}