{"id":"W2965482959","doi":"10.1101/719146","title":"Microbial community dynamics of surface water in British Columbia, Canada","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"Simon Fraser University","keywords":"Indicator bacteria; Watershed; Fecal coliform; Biology; 16S ribosomal RNA; Water quality; Microbial population biology; Feces; Contamination; Bacteria; Microbiology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000224759,0.000377065,0.000383938,0.001398905,0.002765997,0.001580643,0.000751499,0.0003833961,0.001959227],"category_scores_gemma":[0.0005065425,0.0002019204,0.0001557069,0.003338493,0.0006172691,0.0002508977,0.0005268116,0.0004119191,0.0004035052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01953004,"about_ca_system_score_gemma":0.02129002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950157,"about_ca_topic_score_gemma":0.9967265,"domain_scores_codex":[0.9995921,0.0000170278,0.00001304429,0.0001066134,0.0001627392,0.0001085403],"domain_scores_gemma":[0.9992577,0.00002950238,0.00003666491,0.00001342655,0.0005467092,0.0001158587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005266028,0.0001689534,0.9047471,0.0002371383,0.00009639518,0.0005022426,0.002876485,0.001403863,0.03304015,0.0003828137,0.006018902,0.04999937],"study_design_scores_gemma":[0.00001043691,0.00003626583,0.9890772,0.00003101963,0.00001728433,0.00003532937,0.002735783,0.001597868,0.001404283,0.00005264267,0.00498417,0.00001775734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869854,0.0007212057,0.0003157795,0.0002836393,0.00001787926,0.00007046801,0.006569162,0.00004423165,0.004992238],"genre_scores_gemma":[0.9891847,0.0005465922,0.000832196,0.0001595041,0.000006019241,0.00003835622,0.003660634,0.00001339639,0.005558499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01953004,"threshold_uncertainty_score":0.141701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009332685415150751,"score_gpt":0.1867253293017473,"score_spread":0.1773926438865965,"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."}}