{"id":"W157837399","doi":"10.2166/wqrj.2003.006","title":"A Conceptual Model for Cryptosporidium Transport in Watersheds","year":2003,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Confluence; Hydrology (agriculture); Environmental science; Tributary; Watershed; Surface runoff; Settling; SWAT model; Environmental engineering; Ecology; Geology; Geotechnical engineering; Computer science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006317843,0.0001234672,0.0002571955,0.0002477447,0.0004600642,0.0000321026,0.0001740633,0.0002142046,0.0005926403],"category_scores_gemma":[0.0004373296,0.00008530295,0.0001546616,0.0001041247,0.0004282168,0.0001360565,0.00001681692,0.0008927616,0.0001976787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001205762,"about_ca_system_score_gemma":0.0002470941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007590147,"about_ca_topic_score_gemma":0.00004857131,"domain_scores_codex":[0.9973714,0.0008477404,0.0005086535,0.0002123658,0.0001107282,0.0009490602],"domain_scores_gemma":[0.9990081,0.0003514703,0.00003502585,0.0001751708,0.0003591994,0.00007110275],"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":[0.001814898,0.00215951,0.1064726,0.0001043255,0.0004848786,0.0001558188,0.03415914,0.003894897,0.5680117,0.267889,0.0140928,0.0007603883],"study_design_scores_gemma":[0.01776348,0.001300997,0.01052538,0.0001365063,0.00006980851,0.001164624,0.008299863,0.0004532147,0.683637,0.1061749,0.1694336,0.001040721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768983,0.0002483906,0.01966723,0.0005204029,0.0004551885,0.000314205,0.00003819423,0.00001605288,0.001842012],"genre_scores_gemma":[0.9959943,0.00005628147,0.0004565133,0.00008424409,0.00004697878,0.00005178827,0.00004419969,0.00001344406,0.003252196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1617141,"threshold_uncertainty_score":0.6488995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1761948468936463,"score_gpt":0.4190562587902914,"score_spread":0.2428614118966451,"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."}}