{"id":"W3198735263","doi":"10.1186/s12889-021-11588-w","title":"Analyzing the reach of public health campaigns based on multidimensional aspects: the case of the syphilis epidemic in Brazil","year":2021,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"Universidade Federal do Rio Grande do Norte; Ministério da Saúde; Athabasca University","keywords":"Syphilis; Public health; Biostatistics; Medicine; Population; Early syphilis; Environmental health; Family medicine; Nursing; Human immunodeficiency virus (HIV)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006918743,0.0003385872,0.0004709371,0.004551589,0.0006978565,0.00188719,0.0005155091,0.000768002,0.0007933287],"category_scores_gemma":[0.02849735,0.0002586211,0.0009114389,0.005199182,0.001220668,0.002265974,0.002058453,0.0008308858,0.00007246011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002995405,"about_ca_system_score_gemma":0.002382748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09254654,"about_ca_topic_score_gemma":0.06476489,"domain_scores_codex":[0.9972085,0.001487069,0.0001982537,0.0002832145,0.0004224139,0.0004005408],"domain_scores_gemma":[0.9763038,0.01701405,0.003846087,0.0007007394,0.001548687,0.0005866573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008881158,0.0001392661,0.9370539,0.0004078384,0.0002041779,0.0009533692,0.02203611,0.002234895,0.000672273,0.006471504,0.000678331,0.02905948],"study_design_scores_gemma":[0.00001581905,0.00009271489,0.9494472,0.0003855982,0.0001466504,0.0003535953,0.02350885,0.01785822,0.0003307461,0.00375594,0.004063822,0.00004080126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892722,0.001156469,0.002110755,0.001824371,0.000007601091,0.0001051826,0.0007060976,0.00001749226,0.004799919],"genre_scores_gemma":[0.9983332,0.0002496579,0.00105674,0.00004862133,0.000004565802,0.00002794208,0.0001937223,0.000003423214,0.00008218267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09254654,"threshold_uncertainty_score":0.1840157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07433743932990292,"score_gpt":0.3606393927796684,"score_spread":0.2863019534497655,"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."}}