{"id":"W2313126805","doi":"10.1097/iae.0b013e3182869ed8","title":"Microfiltration of brilliant blue G dye.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Microfiltration; Art; Chromatography; Chemistry; Membrane","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":[0.0004438655,0.0005674071,0.0001538742,0.0003449614,0.0002175587,0.0002804956,0.0002714862,0.0004420983,0.001664402],"category_scores_gemma":[0.0004316361,0.0001666345,0.0003228924,0.00020543,0.0002256738,0.0002696575,0.0002396871,0.0005558382,0.0006816345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003352542,"about_ca_system_score_gemma":0.0002226814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088964,"about_ca_topic_score_gemma":0.001353221,"domain_scores_codex":[0.9997368,0.00004372502,0.00001275442,0.00006871423,0.00009127602,0.00004670334],"domain_scores_gemma":[0.9996393,0.0001385666,0.0001077317,0.00003094865,0.00006088497,0.0000226183],"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":[0.00004087838,0.00002633584,0.0003188331,0.00007046747,0.000006453025,0.00006993003,0.00003087446,0.00008679592,0.9950956,0.0001130619,0.0001568066,0.003983917],"study_design_scores_gemma":[0.000004734751,0.0002050383,0.001071484,0.00001253484,0.000009706539,0.0001629212,0.00001157081,0.0006428894,0.9943215,0.00003596563,0.003517131,0.000004420721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966127,0.008735316,0.07944803,0.000706855,0.000427225,0.0003231594,0.0004136925,0.0008831993,0.01244994],"genre_scores_gemma":[0.9231883,0.003342882,0.06478482,0.0002544072,0.00007305666,0.0001390134,0.0004660206,0.00008692141,0.007664536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001664402,"threshold_uncertainty_score":0.005567968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349772469679084,"score_gpt":0.2038339265799309,"score_spread":0.1903362018831401,"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."}}