{"id":"W2949842344","doi":"10.1016/j.rcrx.2019.100004","title":"Assessing barriers to reuse of electrical and electronic equipment, a UK perspective","year":2019,"lang":"en","type":"article","venue":"Resources Conservation & Recycling X","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Svenska Forskningsrådet Formas; Trent University; Nottingham Trent University","keywords":"Reuse; Business; Stakeholder; Circular economy; Product (mathematics); Perspective (graphical); Resource (disambiguation); Knowledge management; Marketing; Computer science; Engineering; Public relations; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003202623,0.0003685527,0.0004001987,0.002112689,0.001998192,0.004021848,0.0005094823,0.001209756,0.003874353],"category_scores_gemma":[0.009322111,0.0003944611,0.000252111,0.002887921,0.002418295,0.003385295,0.003064282,0.001078362,0.0003301483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006214003,"about_ca_system_score_gemma":0.005121566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07290281,"about_ca_topic_score_gemma":0.1280526,"domain_scores_codex":[0.9956254,0.002016976,0.0003610025,0.0001972092,0.001241356,0.0005579519],"domain_scores_gemma":[0.9885616,0.006549549,0.002158043,0.0002412514,0.002071623,0.0004179315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004449781,0.0002652156,0.2089232,0.006667365,0.000145261,0.01155145,0.5264112,0.002959774,0.01682296,0.03075306,0.005565254,0.1894902],"study_design_scores_gemma":[0.0000205651,0.0006610044,0.1941325,0.002885198,0.0001093784,0.003596553,0.6913418,0.0007967541,0.003911933,0.003942831,0.09847464,0.0001268812],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638883,0.004473916,0.002594985,0.003398899,0.0000300539,0.00008122079,0.0001340225,0.0000117007,0.0253869],"genre_scores_gemma":[0.9884397,0.006451942,0.001787278,0.0005208753,0.000006872675,0.00003581557,0.00007275275,0.000007526951,0.002677284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07290281,"threshold_uncertainty_score":0.1449569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162130715018179,"score_gpt":0.2717623141502585,"score_spread":0.2601410070000767,"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."}}