{"id":"W7101220522","doi":"","title":"Genetic Fingerprinting for the Monitoring of Cryptosporidium in Humans, Animals","year":2003,"lang":"en","type":"article","venue":"","topic":"Employee Performance and Motivation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptosporidium; Outbreak; Genotype; Molecular epidemiology; DNA profiling; Genotyping; Epidemiology; Waterborne diseases","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003250845,0.00006633082,0.00008348733,0.00008948523,0.0000867147,0.00004358837,0.00009573285,0.00002336676,0.00004060891],"category_scores_gemma":[0.0001143167,0.00004844285,0.000034259,0.0001941366,0.00001257365,0.000253181,0.00002123158,0.00004162519,0.000008333985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008726672,"about_ca_system_score_gemma":0.000007377138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001190097,"about_ca_topic_score_gemma":0.00002615535,"domain_scores_codex":[0.9994561,0.000002135214,0.000207647,0.0001019648,0.00008272116,0.0001494462],"domain_scores_gemma":[0.9996612,0.00005471893,0.0001000255,0.0001101043,0.0000718266,0.000002090919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006187055,0.00001545349,0.9771966,0.00008828845,0.000004652071,1.509405e-7,0.00004414097,0.0003557872,0.003187957,0.01666395,0.0001045796,0.002332248],"study_design_scores_gemma":[0.0003911818,0.000008227762,0.9716048,0.00005988497,0.00001600646,9.743336e-8,0.0005699915,0.0007701233,0.009705665,0.00233789,0.01442029,0.0001158253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930189,0.0001244692,0.002186341,0.00009122458,0.0002091223,0.0002267968,8.584484e-8,0.00002155073,0.004121486],"genre_scores_gemma":[0.997708,0.00001955119,0.001674307,0.00008487375,0.0003874262,0.00003099659,4.238391e-7,0.00001067354,0.00008374021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01432606,"threshold_uncertainty_score":0.1975442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002831444960441,"score_gpt":0.2498459439768917,"score_spread":0.2198176295272873,"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."}}