{"id":"W2466618567","doi":"10.1017/ice.2015.257","title":"<i>Clostridium difficile</i>: The More We Learn, the Less We Know","year":2015,"lang":"en","type":"letter","venue":"Infection Control and Hospital Epidemiology","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Clostridium difficile; Clostridium Infections; Clostridium; Need to know; Content (measure theory); Computer science; Internet privacy; Medicine; Microbiology; Computer security; Biology; Bacteria; Antibiotics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002564824,0.0008566077,0.001949309,0.000246614,0.0006357881,0.00008612121,0.0004444488,0.001834942,0.0001391883],"category_scores_gemma":[0.003851796,0.0004537083,0.0007131274,0.0004137713,0.001552352,0.00008484216,0.0002816855,0.006451074,0.0002167381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003037546,"about_ca_system_score_gemma":0.0005446353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176749,"about_ca_topic_score_gemma":0.0000797485,"domain_scores_codex":[0.994075,0.001591724,0.001183235,0.001094339,0.0006692919,0.001386415],"domain_scores_gemma":[0.9919215,0.005286765,0.0006006586,0.001216247,0.0006482878,0.0003265306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002315939,0.0001291259,0.002352735,0.0002166913,0.0005295771,0.0001628902,0.0001651587,0.00003717468,0.000092613,0.0001450633,0.9630786,0.0328588],"study_design_scores_gemma":[0.002547559,0.001429565,0.001629393,0.0002273212,0.0006802952,0.0005177071,0.000175868,0.0008927272,0.0000867837,0.0005787074,0.9907308,0.0005032509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0179114,0.03730241,0.0001556206,0.9390423,0.001979215,0.001930868,0.0001723024,0.0001823656,0.001323469],"genre_scores_gemma":[0.1485398,0.07828367,0.00002135774,0.7234704,0.03072864,0.0009779669,0.0005578009,0.0002708307,0.01714944],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2155719,"threshold_uncertainty_score":0.9997914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666672634466672,"score_gpt":0.3223170363727674,"score_spread":0.2756503100281007,"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."}}