{"id":"W3044497721","doi":"10.1371/journal.pntd.0008437","title":"Understanding leptospirosis eco-epidemiology by environmental DNA metabarcoding of irrigation water from two agro-ecological regions of Sri Lanka","year":2020,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Leptospirosis research and findings","field":"Immunology and Microbiology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science; University of the Ryukyus","keywords":"Sri lanka; Leptospirosis; Epidemiology; Irrigation; Geography; Ecology; Biology; Environmental planning; Medicine; Tanzania; Virology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00001477463,0.0002437917,0.0007394716,0.0000801737,0.0001771032,0.000009153344,0.000310027,0.0002512553,0.002817429],"category_scores_gemma":[0.000833944,0.0001770045,0.0002787673,0.0001407932,0.0007159564,0.0001245629,0.0001970998,0.0003645993,0.000131863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143197,"about_ca_system_score_gemma":0.00002820368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005409786,"about_ca_topic_score_gemma":0.000004459644,"domain_scores_codex":[0.9975396,0.000629636,0.0006295858,0.000508685,0.0001085956,0.0005839154],"domain_scores_gemma":[0.9983845,0.001014833,0.0001923443,0.0002069646,0.00002477001,0.0001766173],"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":[0.0003680557,0.0004820605,0.07983074,0.00003008339,0.0004379687,0.000003117803,0.0004213435,0.000004808996,0.9162539,0.001010016,0.001087326,0.00007061198],"study_design_scores_gemma":[0.00347997,0.001158593,0.3520626,0.00006209394,0.0004862558,0.000002050758,0.0007194067,0.0001522825,0.6358928,0.004882216,0.000714151,0.0003876137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939408,0.001255386,0.001187622,0.001935959,0.00006200901,0.0003008461,0.001138441,0.0000775297,0.0001014403],"genre_scores_gemma":[0.9975143,0.0002129457,0.0001176356,0.0003996675,0.0000524422,0.00002987144,0.001640179,0.0000175241,0.0000154212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2803611,"threshold_uncertainty_score":0.9980941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08768337238288579,"score_gpt":0.2567614852235803,"score_spread":0.1690781128406945,"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."}}