{"id":"W4250934681","doi":"10.1002/9781118663189.ch164","title":"Advanced Compact Filtration (ACF): An Efficient and Flexible Filtration Process","year":2013,"lang":"en","type":"other","venue":"","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Filtration (mathematics); Process (computing); Process engineering; Computer science; Engineering; Mathematics; Operating system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003255435,0.0005399688,0.0005156192,0.001123518,0.0004582768,0.00149423,0.0004924362,0.0007085213,0.008286134],"category_scores_gemma":[0.0002751272,0.0002397746,0.0003714823,0.001297166,0.0003670426,0.001817977,0.0005963015,0.0005447528,0.002176651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000586,"about_ca_system_score_gemma":0.0005717773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315669,"about_ca_topic_score_gemma":0.001489881,"domain_scores_codex":[0.9994522,0.00001771576,0.00001948451,0.00007320645,0.0003962964,0.00004111243],"domain_scores_gemma":[0.9998723,0.00001531892,0.00001943266,0.00002032096,0.00006085753,0.00001166496],"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":[0.0002790065,0.0001671087,0.0006401102,0.0006989395,0.00001468279,0.0001904447,0.0001318502,0.002842332,0.3288893,0.01672985,0.01788172,0.6315348],"study_design_scores_gemma":[0.00004890565,0.0005907018,0.005979311,0.0001372612,0.00006292936,0.001552128,0.00008231767,0.02189773,0.582217,0.003657333,0.383694,0.0000803251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2566265,0.0428364,0.4956392,0.001503196,0.002316322,0.0004706814,0.00144719,0.00665204,0.1925084],"genre_scores_gemma":[0.642205,0.01899539,0.1659028,0.0003589745,0.0007898686,0.0001100689,0.002011075,0.0004652143,0.1691617],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008286134,"threshold_uncertainty_score":0.02771991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00870848625216664,"score_gpt":0.225732435374135,"score_spread":0.2170239491219683,"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."}}