{"id":"W3044061333","doi":"10.1016/j.oneear.2020.07.001","title":"Sources and Streams of Electronic Waste","year":2020,"lang":"en","type":"article","venue":"One Earth","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Electronic waste; Electronics; Pollution; Upstream (networking); Electronic equipment; Waste stream; Waste management; STREAMS; Environmental science; Engineering; Computer science; Telecommunications; Electrical engineering","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":[0.0006107885,0.0003425745,0.0003158648,0.003899824,0.001157698,0.002937871,0.000388456,0.001043603,0.004901543],"category_scores_gemma":[0.0009807387,0.0003515041,0.0002899056,0.002447309,0.0005193071,0.002124504,0.0009124729,0.000874606,0.0007978327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148825,"about_ca_system_score_gemma":0.0009107678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369805,"about_ca_topic_score_gemma":0.004948333,"domain_scores_codex":[0.9996122,0.00005818098,0.00002854224,0.00006879366,0.0001657357,0.00006650474],"domain_scores_gemma":[0.9995975,0.0001540317,0.00006862293,0.00001544799,0.0001339827,0.00003046902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005382174,0.001410643,0.3247669,0.002273452,0.0001892374,0.003806088,0.004244059,0.00972442,0.159795,0.07452803,0.01143232,0.4024477],"study_design_scores_gemma":[0.0002797642,0.001826755,0.1934687,0.001106213,0.000276427,0.001379667,0.01464072,0.02956146,0.6143289,0.02881208,0.1141548,0.0001645124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725559,0.002745125,0.002464819,0.0006368342,0.0001345695,0.00007711855,0.001231183,0.00007199765,0.02008232],"genre_scores_gemma":[0.9764344,0.005309596,0.002003897,0.0002003396,0.0001355013,0.00003928207,0.001140176,0.00004066193,0.01469625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004901543,"threshold_uncertainty_score":0.01639736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008941882560568498,"score_gpt":0.1861978676604932,"score_spread":0.1772559850999247,"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."}}