{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001915745,0.000989132,0.0006532593,0.01272288,0.01303462,0.01239668,0.003230578,0.002414963,0.02447587],"category_scores_gemma":[0.004094495,0.0006645711,0.000996798,0.02072706,0.006824859,0.006332443,0.00274101,0.00284662,0.001372044],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1591104,"about_ca_system_score_gemma":0.1887607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956415,"about_ca_topic_score_gemma":0.9979063,"domain_scores_codex":[0.9959025,0.0002544246,0.0001306956,0.0003456894,0.002219558,0.001147061],"domain_scores_gemma":[0.994418,0.0003983117,0.0003091878,0.00008946505,0.004153498,0.0006315593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002285152,0.0002376763,0.04012612,0.001887,0.0000940741,0.002907506,0.009933571,0.004888331,0.002095041,0.5502607,0.08955374,0.2977878],"study_design_scores_gemma":[0.00001570797,0.0000686964,0.04310736,0.001818535,0.0001120639,0.0009863988,0.02452708,0.002093954,0.001104744,0.01844707,0.9075074,0.0002109983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0687958,0.07806792,0.005571357,0.09420399,0.001116373,0.0001980033,0.005015173,0.0001762753,0.7468551],"genre_scores_gemma":[0.5958057,0.2278223,0.01352105,0.01041124,0.0003880245,0.00007452067,0.002413759,0.0002220249,0.1493414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1591104,"threshold_uncertainty_score":0.9753127,"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."}}