{"id":"W3087641010","doi":"10.1016/j.jre.2020.09.003","title":"Investigating the use of an ionic liquid for rare earth mineral flotation","year":2020,"lang":"en","type":"article","venue":"Journal of Rare Earths","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vale (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Gangue; Hematite; Zeta potential; Adsorption; Mineral; Inorganic chemistry; Mineralogy; Chemical engineering; Organic chemistry; Nanoparticle","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002279159,0.00007293034,0.0001304434,0.000025288,0.0000796504,0.00004225872,0.0001379045,0.00003420464,0.0003581039],"category_scores_gemma":[0.0003967875,0.00005042163,0.00008364343,0.0001495472,0.00006867672,0.0006453695,0.00002202057,0.0001044704,0.000008173458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001037313,"about_ca_system_score_gemma":0.00002657164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001522683,"about_ca_topic_score_gemma":0.00004562566,"domain_scores_codex":[0.9990639,0.0001004069,0.0003989663,0.00008660361,0.0002608938,0.00008923111],"domain_scores_gemma":[0.9992628,0.0001001984,0.0003749795,0.0000859852,0.00006689863,0.0001092118],"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":[0.0003127666,0.00008654191,0.003392615,0.00003831874,0.00003255457,0.000007168041,0.009337397,0.03887188,0.872188,0.0004739579,0.05667147,0.01858728],"study_design_scores_gemma":[0.002572115,0.007135279,0.04186289,0.0001482872,0.00009203327,0.0001203365,0.001325964,0.1692434,0.5159656,0.0008708261,0.2601127,0.0005505234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930481,0.0000228963,0.003799655,0.002762549,0.000053476,0.0001883274,0.00000886101,0.00001546005,0.0001006181],"genre_scores_gemma":[0.9653737,0.00001259844,0.03189921,0.002317733,0.0001529636,0.000004916191,0.000009690689,0.00001038202,0.0002187951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3562224,"threshold_uncertainty_score":0.3920987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061903479880076,"score_gpt":0.2805580971422486,"score_spread":0.2199390623434478,"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."}}