{"id":"W1187519738","doi":"10.1016/j.wasman.2015.07.047","title":"An evaluation of the potential yield of indium recycled from end-of-life LCDs: A case study in China","year":2015,"lang":"en","type":"article","venue":"Waste Management","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Beijing University of Technology","keywords":"Indium; Liquid-crystal display; China; Electronic waste; Yield (engineering); Environmental science; Waste management; Materials science; Engineering; Optoelectronics; Metallurgy; Geography","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":[0.001479876,0.000605466,0.0005093281,0.001584269,0.001453466,0.001477634,0.001367959,0.001098004,0.001122891],"category_scores_gemma":[0.001066998,0.0002409942,0.0009358704,0.001432517,0.0009132731,0.0009469174,0.0007682527,0.0002967997,0.00013501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005615423,"about_ca_system_score_gemma":0.00220035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04477197,"about_ca_topic_score_gemma":0.0659394,"domain_scores_codex":[0.9992864,0.0001661022,0.0000296875,0.00009006196,0.000289459,0.0001384198],"domain_scores_gemma":[0.9994381,0.0001976317,0.00007277829,0.00006157088,0.0001873524,0.000042461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003900545,0.002496268,0.3258331,0.001905409,0.0006370762,0.03970619,0.00610966,0.1484944,0.2991419,0.007558889,0.001607843,0.1626087],"study_design_scores_gemma":[0.0003038301,0.0052549,0.308939,0.0002199326,0.001355911,0.003597145,0.01962054,0.2096013,0.4326527,0.002896674,0.01532586,0.000232237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977955,0.00008750971,0.0003399822,0.00002912575,0.00000151587,0.00002516744,0.00004893794,0.000009078624,0.001663263],"genre_scores_gemma":[0.998403,0.0001046927,0.0005781101,0.00000510851,8.688887e-7,0.000007915219,0.00003519219,0.000004380739,0.0008607217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04477197,"threshold_uncertainty_score":0.08902276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04333820912943744,"score_gpt":0.2955668905493612,"score_spread":0.2522286814199238,"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."}}