{"id":"W2147954309","doi":"10.3390/pathogens4020307","title":"Waterborne Pathogens: Detection Methods and Challenges","year":2015,"lang":"en","type":"review","venue":"Pathogens","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":559,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Foreign Affairs and International Trade Canada; Universidad Autónoma de Aguascalientes","keywords":"Waterborne diseases; Outbreak; Risk analysis (engineering); Water safety; Water quality; Environmental health; Environmental science; Environmental planning; Biology; Business; Ecology; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002298963,0.0003686672,0.0008852483,0.00006743657,0.00009377702,0.00003776307,0.0001982112,0.0003197393,0.0002344406],"category_scores_gemma":[0.0001114388,0.0002737314,0.0001910818,0.0001641599,0.0001198955,0.0001057054,0.0003189691,0.0002347243,0.0005645612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356586,"about_ca_system_score_gemma":0.0000147505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002863537,"about_ca_topic_score_gemma":0.00004981531,"domain_scores_codex":[0.9970929,0.001251309,0.0004354482,0.0006488663,0.0002672694,0.0003042025],"domain_scores_gemma":[0.9990569,0.0001085814,0.0001914066,0.0004033514,0.00001671881,0.0002230667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001194154,0.00002030072,0.000002196581,0.001281793,0.00001582389,0.000009839644,0.0001998894,1.373526e-7,0.00005622379,0.00002451688,0.00002776581,0.9983603],"study_design_scores_gemma":[0.00008097358,0.0000536908,0.0001012516,0.0002468286,0.000223052,0.00005323265,0.00003345387,0.00002199252,0.00003756928,0.000251954,0.998549,0.0003470029],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002362705,0.9943824,0.0007608614,0.00004140284,0.0002640543,0.0004325248,0.00005049755,0.00008066722,0.003963964],"genre_scores_gemma":[0.00003365786,0.9956642,0.003532883,0.00002963299,0.00008185559,0.00009796899,0.00003220997,0.00004242006,0.0004852103],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9985212,"threshold_uncertainty_score":0.9999715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798454380681561,"score_gpt":0.3858823781072847,"score_spread":0.2060369400391286,"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."}}