{"id":"W6892185718","doi":"10.5061/dryad.70423j5","title":"Data from: Why is sterility virulence most common in sexually transmitted infections? examining the role of epidemiology","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Sterility; Virulence; Pathogen; Transmission (telecommunications); Population; Epidemiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002353998,0.001295049,0.001352575,0.004188114,0.0005939306,0.002530401,0.002349087,0.002265241,0.07391059],"category_scores_gemma":[0.01842302,0.000567223,0.00124353,0.01010836,0.0005239215,0.001331601,0.001995314,0.001671753,0.0463544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106404,"about_ca_system_score_gemma":0.002945034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04095658,"about_ca_topic_score_gemma":0.0519922,"domain_scores_codex":[0.9978264,0.0004245028,0.0005675889,0.0003933908,0.0004549449,0.0003330176],"domain_scores_gemma":[0.9932491,0.002297185,0.001146997,0.001145159,0.001792169,0.0003694477],"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":[0.0001758358,0.00002382676,0.004386357,0.002339158,0.00008561602,0.00005183804,0.00006807578,0.0005261715,0.0001693557,0.001423261,0.9862027,0.004547957],"study_design_scores_gemma":[0.0005109467,0.00002689584,0.02370922,0.001222084,0.00008701972,0.0001483261,0.0002356999,0.0009076063,0.0004847168,0.003236125,0.9693552,0.00007611552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002612096,0.0001020531,0.0000667913,0.0002279621,0.00003158089,0.00001042908,0.9985483,0.0001199002,0.0006317826],"genre_scores_gemma":[0.001849042,0.0001803567,0.0004349881,0.0001241549,0.00001976104,0.0001347828,0.9959515,0.00006509706,0.001240278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07391059,"threshold_uncertainty_score":0.2472556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08309981137915588,"score_gpt":0.3296894658366182,"score_spread":0.2465896544574623,"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."}}