{"id":"W2100817153","doi":"10.1128/aem.02788-06","title":"Tracking Host Sources of <i>Cryptosporidium</i> spp. in Raw Water for Improved Health Risk Assessment","year":2007,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Health Canada; Provincial Laboratory of Public Health; University of Calgary","funders":"Agriculture and Agri-Food Canada; Canadian Institutes of Health Research; Genome Alberta; Genome Canada","keywords":"Cryptosporidium; Host (biology); Biology; Tracking (education); Risk assessment; Environmental science; Microbiology; Ecology; Computer science; Feces","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005262929,0.0001692443,0.0003470164,0.00008717242,0.0001653345,0.000004292266,0.00007073164,0.0002187981,0.00008913851],"category_scores_gemma":[0.000005908517,0.0001356936,0.00005429038,0.00002904006,0.000331574,0.00002491748,0.00006198698,0.0002028452,0.00002033404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000705218,"about_ca_system_score_gemma":0.00001575016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001389914,"about_ca_topic_score_gemma":0.00005740688,"domain_scores_codex":[0.9987612,0.00004397163,0.0004114445,0.0002898247,0.000007584827,0.00048592],"domain_scores_gemma":[0.9994762,0.0002256435,0.0001407518,0.0001279093,0.000003654648,0.00002584153],"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":[0.00007659144,0.0002293642,0.03404917,0.00001598508,0.00004961909,6.077106e-7,0.0002856978,0.00001121882,0.9611201,0.0003121676,0.00008326738,0.003766161],"study_design_scores_gemma":[0.003390395,0.0004790526,0.1034409,0.00001262029,0.00003397953,0.00006633141,0.0009533833,0.000003738723,0.8730992,0.0002670755,0.01799944,0.0002538177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937765,0.0007415041,0.004214604,0.00007492272,0.0002307739,0.0004900048,0.0002273664,0.00001361131,0.0002306887],"genre_scores_gemma":[0.9980838,0.0003449218,0.0005970239,0.000298411,0.00002042864,0.00002633401,0.0005746629,0.00001412009,0.00004029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08802092,"threshold_uncertainty_score":0.5533426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004736417973683414,"score_gpt":0.2256213259962055,"score_spread":0.2208849080225221,"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."}}