{"id":"W2599828","doi":"10.1097/iae.0b013e3182869ed8","title":"MICROFILTRATION OF BRILLIANT BLUE G DYE","year":2013,"lang":"en","type":"article","venue":"Retina","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Microfiltration; Chemistry; Chromatography; 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":[0.0003083995,0.0005757522,0.0001693087,0.0002768871,0.0001810074,0.0003132205,0.0002226684,0.0003765975,0.001479017],"category_scores_gemma":[0.0003169692,0.0001333885,0.0003608966,0.0002026794,0.0001545631,0.0002274173,0.0002098411,0.000521191,0.0005278116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526775,"about_ca_system_score_gemma":0.000207202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007507581,"about_ca_topic_score_gemma":0.0007363587,"domain_scores_codex":[0.9997697,0.00003497293,0.0000163644,0.00005242313,0.00007934476,0.00004721947],"domain_scores_gemma":[0.9996452,0.0001268548,0.0001150951,0.00003040012,0.00005764639,0.00002465584],"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":[0.00003467769,0.00002479648,0.0003567233,0.00004407784,0.0000051645,0.0000878333,0.00003011037,0.00006070508,0.9969938,0.00005276372,0.00007041959,0.002239001],"study_design_scores_gemma":[0.000003492617,0.0004276197,0.002051785,0.00001307374,0.00001522407,0.0002570576,0.00001990518,0.00061734,0.9930874,0.00002825158,0.003473369,0.00000538847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501661,0.005521759,0.03771118,0.0003573992,0.0003126099,0.0001489285,0.0002262273,0.000407004,0.005148727],"genre_scores_gemma":[0.9397412,0.003202323,0.04771398,0.0002575945,0.0001135507,0.0001135519,0.0006263133,0.0000680638,0.008163436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001479017,"threshold_uncertainty_score":0.004947841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007346929601919661,"score_gpt":0.2047167791218219,"score_spread":0.1973698495199022,"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."}}