{"id":"W4412592337","doi":"10.1016/b978-0-443-40294-4.00025-6","title":"Separation Processes","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Process Research Ortech (Canada)","funders":"","keywords":"Separation (statistics); Computer science; Machine learning","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":[0.0002607149,0.001418896,0.0007960245,0.001486464,0.001100958,0.002190691,0.001149175,0.001367456,0.08293121],"category_scores_gemma":[0.0002858622,0.000604188,0.0005859997,0.001822087,0.0005597873,0.001961087,0.001669814,0.001844831,0.0829166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008109508,"about_ca_system_score_gemma":0.0007447078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670062,"about_ca_topic_score_gemma":0.002666427,"domain_scores_codex":[0.9995779,0.0000156446,0.00001433814,0.0001004051,0.0002527501,0.00003900391],"domain_scores_gemma":[0.9999315,0.00001043785,0.000004913087,0.0000152781,0.0000312646,0.000006651903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001066947,0.0001402839,0.000149759,0.001190676,0.00002561639,0.0003314162,0.0002630233,0.001187448,0.1329364,0.04714182,0.1117118,0.7048149],"study_design_scores_gemma":[0.000009636312,0.00004099612,0.000264205,0.0001009631,0.00001178057,0.0003784107,0.00004725113,0.0008607627,0.05955249,0.006244485,0.9324746,0.0000145394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006293651,0.02666095,0.08379591,0.001154602,0.001933471,0.0002499339,0.001832343,0.003094002,0.8749853],"genre_scores_gemma":[0.01174764,0.009200596,0.01498288,0.0004946956,0.0001504647,0.0001176754,0.001798334,0.0003812848,0.9611264],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08293121,"threshold_uncertainty_score":0.2774325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338184851366125,"score_gpt":0.2492557084453016,"score_spread":0.2358738599316404,"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."}}