{"id":"W2724683122","doi":"","title":"Investigating the Fundamental Parameters of Cake Filtration using a Gravity Column Device","year":2014,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Filtration (mathematics); Column (typography); Chromatography; Materials science; Environmental science; Process engineering; Chemistry; Mathematics; Engineering; Mechanical engineering; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003664842,0.0002458418,0.0002682523,0.0003436288,0.0003052439,0.0003693635,0.0003010468,0.0004174148,0.000617208],"category_scores_gemma":[0.0006883079,0.0001213426,0.0001569367,0.0003486016,0.000356299,0.0004050761,0.0001572028,0.0003571029,0.0001555211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006053451,"about_ca_system_score_gemma":0.0005102635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004746022,"about_ca_topic_score_gemma":0.006286347,"domain_scores_codex":[0.9998028,0.00001510841,0.000009198512,0.00004696978,0.00009387521,0.00003203232],"domain_scores_gemma":[0.9996468,0.0001721692,0.00003653991,0.0000169193,0.0001087402,0.00001878008],"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":[0.00002938484,0.00001171337,0.001314547,0.00004851273,0.000002436796,0.00001846294,0.00005276207,0.0002225422,0.9941361,0.0001725308,0.00005209543,0.003938882],"study_design_scores_gemma":[0.000006217808,0.0001076652,0.01940303,0.000006550738,0.00001159988,0.00009647249,0.00007978546,0.005550097,0.9731876,0.00009243059,0.001445284,0.00001317387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963516,0.001025043,0.03293641,0.0001164556,0.00001454892,0.00007906611,0.0003072411,0.0001344126,0.001870799],"genre_scores_gemma":[0.9867279,0.0005843935,0.01122704,0.00003283124,0.000006611842,0.0000381324,0.000163234,0.00001150016,0.001208375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004746022,"threshold_uncertainty_score":0.009436786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433481202091218,"score_gpt":0.2679486806052452,"score_spread":0.2336138685843331,"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."}}