{"id":"W1841404852","doi":"10.1136/sextrans-2014-052001","title":"Go big or go home: impact of screening coverage on syphilis infection dynamics","year":2015,"lang":"en","type":"article","venue":"Sexually Transmitted Infections","topic":"Syphilis Diagnosis and Treatment","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"","keywords":"Syphilis; Medicine; Population; Context (archaeology); Incidence (geometry); Demography; Transmission (telecommunications); Public health; Outbreak; Sexually transmitted disease; Environmental health; Immunology; Virology; Geography; Telecommunications","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"],"consensus_categories":[],"category_scores_codex":[0.000234966,0.0003381122,0.0005496501,0.0005120207,0.0001379895,0.000035257,0.0000620571,0.0002135263,0.000213228],"category_scores_gemma":[0.0002013085,0.0002500841,0.0003476996,0.001009957,0.00009583022,0.0001625404,0.00001544716,0.0003433882,0.00006788682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006042433,"about_ca_system_score_gemma":0.0004366769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002288143,"about_ca_topic_score_gemma":0.001763348,"domain_scores_codex":[0.9982795,0.00009627055,0.0004882731,0.0003788929,0.000404054,0.000353002],"domain_scores_gemma":[0.9984583,0.000261365,0.000146381,0.0004532996,0.0003233071,0.0003573295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009366716,0.005615994,0.9067525,0.0001132282,0.001622121,0.0000678033,0.0008180317,0.005134257,0.0002731495,0.0006388715,0.002127586,0.07589978],"study_design_scores_gemma":[0.008510381,0.0151159,0.9693018,0.0003264032,0.000753996,0.0002700771,0.0001303267,0.002112054,0.0005533593,0.0003224127,0.002185739,0.0004175618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819806,0.0000909489,0.008494025,0.0003938402,0.0004959386,0.0007491775,0.0001866923,0.0002578975,0.007350871],"genre_scores_gemma":[0.9982811,0.0002200682,0.0001574672,0.0001695399,0.0002093442,0.0001004686,0.000314735,0.00005970354,0.0004876396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07548222,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0400513075898189,"score_gpt":0.3178469529736714,"score_spread":0.2777956453838525,"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."}}