{"id":"W2478598345","doi":"10.1007/978-3-319-28235-0_6","title":"Rare Earth Solvent Extraction Equipment","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"","keywords":"Solvent extraction; Extraction (chemistry); Process engineering; Solvent; Rare earth; Selection (genetic algorithm); Chromatography; Computer science; Engineering; Engineering drawing; Chemistry; Artificial intelligence; Mineralogy; Organic 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":[0.0001767649,0.0009088255,0.0006183594,0.001298298,0.0007247739,0.001040388,0.001106009,0.0006525366,0.06554941],"category_scores_gemma":[0.0002396912,0.0004454118,0.0003576193,0.001546458,0.0002979826,0.001732952,0.001020514,0.001289349,0.05303458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004523204,"about_ca_system_score_gemma":0.0005617943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005577129,"about_ca_topic_score_gemma":0.001336392,"domain_scores_codex":[0.9997304,0.00000901917,0.000008768229,0.00005054374,0.0001864057,0.00001480256],"domain_scores_gemma":[0.9999249,0.00001519975,0.000003831944,0.0000186248,0.00003158805,0.000005924333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007497753,0.00008974662,0.0001621533,0.001086668,0.00001002868,0.0002857399,0.000217835,0.0009881788,0.1019926,0.03349444,0.08590738,0.7756901],"study_design_scores_gemma":[0.000005163492,0.00003351117,0.0002604501,0.0001157421,0.000006594866,0.000468276,0.00003802271,0.0005282337,0.049419,0.004146781,0.9449654,0.00001276632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009655075,0.01503279,0.1483588,0.0006299235,0.00146964,0.0003309367,0.002226764,0.00420621,0.8180898],"genre_scores_gemma":[0.01353588,0.01263435,0.03679518,0.0003029154,0.0001531635,0.0001130251,0.002855554,0.0007574878,0.9328526],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06554941,"threshold_uncertainty_score":0.2192846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387294192233759,"score_gpt":0.2534854784413589,"score_spread":0.2296125365190213,"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."}}