{"id":"W2546908571","doi":"10.3390/resources5040035","title":"Electronic Waste and Existing Processing Routes: A Canadian Perspective","year":2016,"lang":"en","type":"article","venue":"Resources","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hazardous waste; Electronic waste; Waste management; Electronic equipment; Waste collection; Business; Materials processing; Household hazardous waste; Municipal solid waste; Cleaner production; Engineering; Mobile incinerator; Manufacturing engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789741,0.00008042074,0.00006708868,0.0000487103,0.0001735126,0.00005397728,0.0001142297,0.00002874064,0.00007797253],"category_scores_gemma":[0.00004176622,0.00005394064,0.00001562769,0.0001010049,0.0001038826,0.0001159401,0.00006875223,0.00005105534,0.00003266623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119933,"about_ca_system_score_gemma":0.0000102585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03294338,"about_ca_topic_score_gemma":0.0220291,"domain_scores_codex":[0.9992468,0.00002279405,0.00007471351,0.0002332709,0.0001077977,0.0003146642],"domain_scores_gemma":[0.9997479,0.00002318759,0.00003619443,0.00009555978,0.000004451425,0.00009267286],"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":[0.00002261026,0.00003252811,0.1403659,0.00002803958,0.0000316134,0.00002589853,0.008780045,0.00005135515,0.007915714,0.004341222,0.002775037,0.83563],"study_design_scores_gemma":[0.001476072,0.0007205848,0.1182601,0.001209213,0.0001098852,0.0000711234,0.02413783,0.004370323,0.009001909,0.0700433,0.7685392,0.002060475],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8483157,0.0002819627,0.0004374053,0.001175231,0.000007877225,0.0001050729,0.000001000414,0.0001018207,0.1495739],"genre_scores_gemma":[0.996905,0.00004556695,0.0003039892,0.00009992556,0.00003763123,0.000008497325,1.473951e-7,0.00001000639,0.002589277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8335695,"threshold_uncertainty_score":0.9958163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009212203626185033,"score_gpt":0.2308581895343058,"score_spread":0.2216459859081208,"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."}}