{"id":"W6941669419","doi":"10.1371/journal.pcbi.1008417.s011","title":"Oxfordshire &lt;i&gt;C&lt;/i&gt;. &lt;i&gt;difficile&lt;/i&gt; MLST sequence types, overall incidence and incidence per quarter 2007–2011.","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Sequence (biology); Quarter (Canadian coin); Multilocus sequence typing; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005574482,0.0006138067,0.0003433322,0.001421289,0.000256903,0.0007432377,0.0004573543,0.0003690429,0.1990278],"category_scores_gemma":[0.002000732,0.0005768407,0.0001980089,0.002666582,0.0003830763,0.0006282413,0.0005054994,0.0009653359,0.02879717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009205886,"about_ca_system_score_gemma":0.001158102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06016831,"about_ca_topic_score_gemma":0.1521485,"domain_scores_codex":[0.9996272,0.00006506087,0.00005678553,0.0001112785,0.00007956955,0.00006000437],"domain_scores_gemma":[0.9976571,0.0004578144,0.0006042246,0.0001511934,0.0007183914,0.0004112751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009512811,0.00004752418,0.04234342,0.002203137,0.00008166474,0.0004566086,0.0002477511,0.001136452,0.01150754,0.002587408,0.7965896,0.1418476],"study_design_scores_gemma":[0.0001014363,0.0002048765,0.2898444,0.0004706261,0.0000396207,0.0004915089,0.0005317812,0.0007749766,0.00229345,0.0004708281,0.7047222,0.00005438206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0666333,0.01195238,0.00844233,0.003337131,0.002511455,0.0002619141,0.6781641,0.002536959,0.2261605],"genre_scores_gemma":[0.1587822,0.01056812,0.02641205,0.00112755,0.0004969211,0.0002627866,0.3383173,0.001854731,0.4621783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1990278,"threshold_uncertainty_score":0.6658143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138746091542949,"score_gpt":0.2290043093249921,"score_spread":0.2076168484095626,"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."}}