{"id":"W2132722232","doi":"10.1139/w02-049","title":"Hollow-fiber ultrafiltration of<i>Cryptosporidium parvum</i>oocysts from a wide variety of 10-L surface water samples","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New Mexico Water Resources Research Institute, New Mexico State University; U.S. Environmental Protection Agency","keywords":"Ultrafiltration (renal); Turbidity; Cryptosporidium parvum; Cryptosporidium; Fiber; Filter (signal processing); Filtration (mathematics); Surface water; Chromatography; Materials science; Chemistry; Biology; Environmental science; Microbiology; Environmental engineering; Composite material; Mathematics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003084598,0.0001926799,0.0005764,0.0001857622,0.000124242,0.000008959866,0.0002439721,0.0004166776,0.00959939],"category_scores_gemma":[0.0003098913,0.0001533652,0.000203983,0.0001090208,0.000495506,0.00008645737,0.00001362955,0.0003114972,0.000349488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008142054,"about_ca_system_score_gemma":0.0003408883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007247495,"about_ca_topic_score_gemma":0.00474144,"domain_scores_codex":[0.9983042,0.0002406253,0.0007723891,0.0001760582,0.00001956955,0.0004871639],"domain_scores_gemma":[0.9983702,0.000503997,0.0003954349,0.0002316819,0.0003825717,0.0001161648],"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":[0.00006764584,0.00007579797,0.01707929,0.00001125757,0.0003523748,0.00002963794,0.0007695418,0.000182442,0.946848,0.0001010428,0.03430593,0.0001769792],"study_design_scores_gemma":[0.001616983,0.0004310251,0.00619287,0.00006730255,0.0001843062,0.0007730852,0.0001483304,0.000001368845,0.800459,0.0001742261,0.1897267,0.0002248955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941202,0.002581677,0.0002479297,0.0002674222,0.001185759,0.0001057899,0.0006720583,0.000005758163,0.0008134109],"genre_scores_gemma":[0.9981814,0.0001033257,0.0005111448,0.0001577823,0.00006090992,0.000001038016,0.000210172,0.00001487982,0.000759368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1554207,"threshold_uncertainty_score":0.9993633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143042317748078,"score_gpt":0.1980839231796073,"score_spread":0.1837796914047995,"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."}}