{"id":"W2621608165","doi":"10.1016/j.jenvman.2017.05.056","title":"End-of-life (EoL) mobile phone management in Hong Kong households","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Nanjing University; University of Hong Kong; State Administration of Foreign Experts Affairs; Chinese Academy of Sciences","keywords":"Mobile phone; Mainland China; Business; China; Obsolescence; Mainland; Phone; Geography; Engineering; Marketing; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00100453,0.0002982412,0.0004513862,0.0002135835,0.0002015118,0.00009529921,0.001314714,0.00007422381,0.001139817],"category_scores_gemma":[0.000009259125,0.000277098,0.0002252251,0.0001099432,0.0003902211,0.0006245211,0.001486786,0.0002468704,0.0001285575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000393758,"about_ca_system_score_gemma":0.00000283022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000672813,"about_ca_topic_score_gemma":0.00001514733,"domain_scores_codex":[0.9972078,0.00007288237,0.0009762446,0.0003780532,0.0009431551,0.0004218569],"domain_scores_gemma":[0.9978122,0.00002366376,0.001111703,0.000885562,0.000002402486,0.0001644698],"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":[0.0003340319,0.002544439,0.48192,0.0002578659,0.0006227262,0.001154329,0.0004448535,0.01162064,0.004190144,0.0006047813,0.008837073,0.4874691],"study_design_scores_gemma":[0.002467961,0.0003464342,0.9623127,0.0002234115,0.0001573248,0.00001362681,0.001127649,0.0002235202,0.001998796,0.0009626491,0.02972239,0.0004435588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348323,0.0002231734,0.0008987293,0.0001750608,0.0003577234,0.0006792818,0.000006129154,0.00002490538,0.06280275],"genre_scores_gemma":[0.9869065,0.002866229,0.00751132,0.0001265274,0.00005616951,0.00003186881,0.000002084938,0.00003810072,0.002461247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4870256,"threshold_uncertainty_score":0.9999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245096912430234,"score_gpt":0.2416282225991449,"score_spread":0.2291772534748426,"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."}}