{"id":"W2332451606","doi":"10.1139/cjm-2015-0710","title":"Temporal variation in the prevalence and species richness of <i>Campylobacter</i> spp. in a prairie watershed impacted by urban and agricultural mixed inputs","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Canada Research Chairs; Public Health Agency of Canada; Ministry of Agriculture - Saskatchewan; University of Saskatchewan","keywords":"Campylobacter; Campylobacter jejuni; Veterinary medicine; Species richness; Biology; Campylobacter coli; Watershed; Ecology; Bacteria; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004377275,0.0001619919,0.0001769558,0.0007296354,0.0006646785,0.0008092649,0.000563951,0.0003834493,0.0006759289],"category_scores_gemma":[0.0009180282,0.000284541,0.0001591206,0.0009924003,0.0008067092,0.0004434137,0.0007813568,0.0003883285,0.0001194644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125213,"about_ca_system_score_gemma":0.0006926612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.179722,"about_ca_topic_score_gemma":0.3298017,"domain_scores_codex":[0.9996087,0.00006511882,0.00002616672,0.0001475228,0.00007721622,0.00007531278],"domain_scores_gemma":[0.9993229,0.00009760859,0.0002528406,0.00002770376,0.0001537002,0.0001453748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008693693,0.00005737365,0.9918594,0.00001702187,0.00004476701,0.0001836606,0.001859826,0.0000894412,0.003597142,0.00003178731,0.0001342054,0.002038509],"study_design_scores_gemma":[0.000001045081,0.00002325418,0.9988762,0.000003132663,0.000003716934,0.00003974334,0.0008160842,0.00008004363,0.00005576526,0.000005430413,0.00009309882,0.000002457552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995604,0.00003774361,0.00003885714,0.00001682648,8.446442e-7,0.000005594864,0.0001249343,0.000002134159,0.0002125836],"genre_scores_gemma":[0.9994038,0.0000575783,0.0001203512,0.00001551359,0.000001905416,0.000008385574,0.0001642578,0.000001129118,0.0002271013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.179722,"threshold_uncertainty_score":0.3573518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068762480928065,"score_gpt":0.185906839995276,"score_spread":0.1752192151859954,"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."}}