{"id":"W3176076100","doi":"10.3390/min11060649","title":"The Recovery and Concentration of Spodumene Using Dense Media Separation","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"ARC Resources (Canada); Queen's University","funders":"","keywords":"Spodumene; Pegmatite; Tailings; Gravity separation; Brine; Environmental science; Lithium (medication); Geology; Mineralogy; Mining engineering; Chemistry; Materials science; Metallurgy; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002129058,0.0003785406,0.000213264,0.000830441,0.0004119327,0.0007103156,0.0003836817,0.0003067404,0.001105261],"category_scores_gemma":[0.0004814569,0.0001324733,0.0001862975,0.0005641642,0.00040733,0.0004726733,0.0005239477,0.0002584932,0.000325541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008535738,"about_ca_system_score_gemma":0.0004351427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637494,"about_ca_topic_score_gemma":0.04455206,"domain_scores_codex":[0.9997637,0.00001319956,0.00001357973,0.0000551987,0.0001121345,0.00004217822],"domain_scores_gemma":[0.9999105,0.00001604824,0.00002171716,0.000007253542,0.00003538395,0.000009096523],"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":[0.0002107988,0.00002820255,0.01399817,0.0001258346,0.00001429915,0.0001579416,0.0001431586,0.0005319021,0.9654371,0.0001467072,0.0001061841,0.01909961],"study_design_scores_gemma":[0.00001088493,0.0001606577,0.0127409,0.00001397048,0.00001274883,0.00008307947,0.0002008081,0.001641118,0.9822233,0.0000588205,0.002845057,0.00000864769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948823,0.0001653038,0.002434377,0.00005759145,0.000004627644,0.00002597103,0.0002163378,0.00006315701,0.002150305],"genre_scores_gemma":[0.9945662,0.0001857543,0.003336366,0.00002399777,0.000002455134,0.000009195157,0.0001840388,0.0000143713,0.001677543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01637494,"threshold_uncertainty_score":0.03255928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170836663593094,"score_gpt":0.2735197590472233,"score_spread":0.2518113924112923,"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."}}