{"id":"W2037753759","doi":"10.1081/ss-200026716","title":"A Concept for the Estimation of HETS for Rare Earth Separations in Extraction Columns","year":2004,"lang":"en","type":"article","venue":"Separation Science and Technology","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Extraction (chemistry); Chemistry; Column (typography); Component (thermodynamics); Phase diagram; Separation (statistics); Phase (matter); Range (aeronautics); Analytical Chemistry (journal); Physics; Chromatography; Thermodynamics; Geometry; Materials science; Statistics","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":[0.0002589259,0.00006308968,0.0000903628,0.0002824218,0.0002230559,0.00004145256,0.00009222552,0.00007779571,0.000004403273],"category_scores_gemma":[0.0002398482,0.0000553336,0.00001433907,0.0008804002,0.0002611292,0.0005325966,0.000006382264,0.00006118527,0.00000186291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003838922,"about_ca_system_score_gemma":0.0001367033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005641207,"about_ca_topic_score_gemma":0.0002200296,"domain_scores_codex":[0.9994006,0.000003042743,0.0002149202,0.0001388807,0.0001169087,0.0001256991],"domain_scores_gemma":[0.9994453,0.00009539965,0.00005827245,0.0001085142,0.0002744357,0.00001811206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002923127,0.00006346731,0.0001136857,0.00006215829,0.00001225351,2.473727e-7,0.001392303,0.6490269,0.1335985,0.1826149,0.0007623823,0.03232395],"study_design_scores_gemma":[0.001276134,0.0002137652,0.00112858,0.00002527293,0.00001687617,0.0000221552,0.00127787,0.613102,0.3384548,0.0240333,0.02027485,0.0001744342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1940644,0.0004295811,0.8005011,0.002580723,0.0002844765,0.001219373,0.00002231092,0.000191571,0.0007064658],"genre_scores_gemma":[0.9955449,0.00003962696,0.00397793,0.00003518424,0.00001252593,0.0002863775,0.000009251875,0.000004723711,0.00008949609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8014805,"threshold_uncertainty_score":0.2256439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761740313378095,"score_gpt":0.3352474574254348,"score_spread":0.3176300542916539,"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."}}