{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001374509,0.00005559294,0.0000823913,0.0000445048,0.00002647881,0.00001250407,0.00002088276,0.00004648039,0.0001591309],"category_scores_gemma":[0.00001123488,0.00004947038,0.00001959069,0.00006436639,0.00000448045,0.0001318382,0.000008208696,0.00006025015,0.000008274218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001407248,"about_ca_system_score_gemma":0.000001373798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001914743,"about_ca_topic_score_gemma":0.00003728309,"domain_scores_codex":[0.9996505,0.00002328972,0.000121295,0.00007516782,0.00006169196,0.00006805873],"domain_scores_gemma":[0.9998649,0.00003305337,0.00002039872,0.0000414407,0.00001191763,0.00002832075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001040213,0.00001589658,0.0003533601,0.00003360882,0.00003660868,6.329132e-7,0.0002992103,0.008704411,0.7416126,0.0007412125,0.0005493374,0.2476428],"study_design_scores_gemma":[0.0002288776,0.00001592961,0.004720767,0.00001954137,0.00001507581,0.000005657755,0.0001653649,0.9363126,0.03999103,0.0003958953,0.01801473,0.0001145263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3069525,0.0004373016,0.6820732,0.00003348809,0.0001084135,0.00005700409,0.000003560237,0.0001092858,0.01022522],"genre_scores_gemma":[0.9840215,0.0002594962,0.0151684,0.00002509984,0.00008194061,0.000002130625,0.00001023753,0.00000590785,0.0004252288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9276082,"threshold_uncertainty_score":0.2017344,"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."}}