{"id":"W3189894542","doi":"10.1016/j.wasman.2021.07.032","title":"Wind turbine blade wastes and the environmental impacts in Canada","year":2021,"lang":"en","type":"article","venue":"Waste Management","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Mitacs; University of Saskatchewan","keywords":"Waste management; Life-cycle assessment; Nuclear decommissioning; Incineration; Greenhouse gas; Wind power; Environmental science; Electricity generation; Engineering; Environmental engineering; Mobile incinerator; Renewable energy; Energy recovery; Landfill gas; Municipal solid waste; Waste collection; Production (economics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003246289,0.0002068999,0.0001839124,0.001437714,0.003381228,0.002313652,0.0005853971,0.0004943063,0.002431564],"category_scores_gemma":[0.0007850254,0.0002053906,0.0003331295,0.003137645,0.0006750501,0.0004477226,0.0006046166,0.0005819682,0.0001302889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04846334,"about_ca_system_score_gemma":0.07616508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966727,"about_ca_topic_score_gemma":0.9990792,"domain_scores_codex":[0.9993659,0.00002792221,0.00002488975,0.00003520793,0.0003310276,0.0002150032],"domain_scores_gemma":[0.9991491,0.00006404244,0.0001071355,0.00001053484,0.000559507,0.0001098492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007467808,0.0004015581,0.8427896,0.000411267,0.0001939386,0.003344654,0.004784099,0.01115906,0.007176022,0.009749495,0.01046977,0.1087736],"study_design_scores_gemma":[0.0000319301,0.0001110275,0.9241698,0.0002270602,0.00008328563,0.0002676311,0.02306258,0.0050485,0.006068637,0.0009855679,0.0398864,0.00005765315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817533,0.001301447,0.0002215574,0.001481369,0.0000214074,0.00002775613,0.001951,0.00001479319,0.01322744],"genre_scores_gemma":[0.9834126,0.001966918,0.0002956483,0.0001881825,0.000005192536,0.000006536657,0.0005724559,0.000009927178,0.01354248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04846334,"threshold_uncertainty_score":0.3516278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002104201298662922,"score_gpt":0.1397342093837555,"score_spread":0.1376300080850925,"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."}}