{"id":"W2388841755","doi":"","title":"Separation of W and Mo from Mo Stripping Solutionby Ion Exchange Method","year":2001,"lang":"en","type":"article","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"Stripping (fiber); Reusability; Ion-exchange resin; Ion exchange; Alkali metal; Ion; Chemistry; Separation (statistics); Chromatography; Materials science; Analytical Chemistry (journal); Inorganic chemistry; Computer science; Mathematics; Composite material; Statistics; 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":[0.0002588609,0.0004833358,0.0004987483,0.0003753731,0.0003903976,0.0003449773,0.0003963017,0.0004548942,0.001417382],"category_scores_gemma":[0.0002502321,0.0002130201,0.0003940289,0.0001767419,0.0001853392,0.0004118581,0.0002179827,0.0006901533,0.0008326902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734841,"about_ca_system_score_gemma":0.0002454776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006602668,"about_ca_topic_score_gemma":0.001589053,"domain_scores_codex":[0.999806,0.00002215974,0.00001609435,0.00005246925,0.00007196587,0.00003130794],"domain_scores_gemma":[0.9999053,0.00002639473,0.00001460797,0.00001013018,0.0000338477,0.000009655309],"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":[0.00002612199,0.000004234132,0.00003302854,0.00004196091,0.000003490224,0.00001295242,0.000007525874,0.0000160107,0.9977,0.00003310788,0.00002136087,0.002100164],"study_design_scores_gemma":[0.000002521918,0.00004148603,0.0001777338,0.000001944525,0.000007472346,0.00006371084,0.000007891888,0.0002206453,0.9982989,0.00001520291,0.001159189,0.00000334929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8052865,0.007794429,0.1807729,0.0004069425,0.0001822671,0.0002458073,0.0002837249,0.0008098469,0.004217486],"genre_scores_gemma":[0.8373326,0.006960915,0.1431014,0.0002720056,0.00005462086,0.0001284012,0.0007714247,0.0001761725,0.01120241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001417382,"threshold_uncertainty_score":0.004741549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657594030988827,"score_gpt":0.3055812033918768,"score_spread":0.2690052630819886,"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."}}