{"id":"W2891686160","doi":"10.1007/978-3-319-95022-8_195","title":"Supercritical Fluid Extraction of Rare Earth Elements from NiMH Battery","year":2018,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Supercritical fluid; Hazardous waste; Process engineering; Battery (electricity); Process (computing); Environmental science; Rare earth; Waste management; Computer science; Engineering; Materials science; Chemistry","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":[0.0000822462,0.0002761647,0.000366625,0.0004847772,0.000306166,0.0003438341,0.0002975332,0.0002751442,0.003068689],"category_scores_gemma":[0.00007064399,0.000129092,0.0003292965,0.0005085579,0.0001529437,0.0008411722,0.0003297674,0.0004270227,0.001848349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797833,"about_ca_system_score_gemma":0.0002733328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004877372,"about_ca_topic_score_gemma":0.001742772,"domain_scores_codex":[0.9999374,0.000002702628,0.000002992647,0.00000888084,0.00004005171,0.00000793908],"domain_scores_gemma":[0.9999878,0.000003392597,0.000001184338,0.000001695426,0.000004801808,0.00000111636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001460096,0.00009915843,0.000199969,0.001371771,0.00003246182,0.0008003447,0.0002534799,0.001152174,0.7239611,0.01127122,0.009554604,0.2511578],"study_design_scores_gemma":[0.000007717538,0.00009652348,0.0005365493,0.00006491426,0.00001731703,0.0008595675,0.00007933946,0.002451316,0.8243504,0.002554457,0.1689629,0.00001896865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.475715,0.1123444,0.06862846,0.001737218,0.001965371,0.0002959691,0.0009923666,0.0009526478,0.3373686],"genre_scores_gemma":[0.4457656,0.03780055,0.01352776,0.0004343521,0.0002663957,0.00007226809,0.0009561712,0.0002432597,0.5009337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003068689,"threshold_uncertainty_score":0.01026577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274801247128948,"score_gpt":0.2494457612959406,"score_spread":0.2266977488246512,"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."}}