{"id":"W3021293999","doi":"10.1136/sextrans-2019-sti.637","title":"P563 MSM predictive modeling within a large, linked database of laboratory, surveillance, and administrative healthcare records","year":2019,"lang":"en","type":"article","venue":"Poster presentations","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control","funders":"","keywords":"Men who have sex with men; Medicine; Syphilis; Database; Cohort; Gonorrhea; Demography; Family medicine; Internal medicine; Human immunodeficiency virus (HIV); Computer science","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":[0.009077631,0.0006464795,0.0006743107,0.001422535,0.0005842611,0.001375159,0.001657029,0.000731783,0.003240135],"category_scores_gemma":[0.01400313,0.0004480716,0.001440758,0.001421964,0.000392774,0.000711192,0.001527601,0.001156929,0.0005749284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229611,"about_ca_system_score_gemma":0.002012616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04484773,"about_ca_topic_score_gemma":0.02916758,"domain_scores_codex":[0.997666,0.001400658,0.0001281571,0.0004591594,0.0002078442,0.0001380779],"domain_scores_gemma":[0.992875,0.005120788,0.0007345225,0.000517906,0.000520376,0.0002313347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006712077,0.0008711366,0.6597938,0.0001622146,0.0008414407,0.000472007,0.0003597864,0.2664536,0.0002647681,0.005570406,0.008140584,0.0563991],"study_design_scores_gemma":[0.000057364,0.00009322487,0.03052075,0.0000551304,0.00009549609,0.0001054722,0.0001288838,0.9637516,0.0001421638,0.003592388,0.001437704,0.00001987903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320353,0.0007393653,0.04831638,0.003080172,0.00008249266,0.0003943744,0.01173886,0.0005889615,0.003024228],"genre_scores_gemma":[0.9751697,0.0001722821,0.01721371,0.0001967075,0.00007188241,0.0001873082,0.006035571,0.00002184914,0.0009310672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04484773,"threshold_uncertainty_score":0.08917338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07440614306536372,"score_gpt":0.3951539867118068,"score_spread":0.320747843646443,"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."}}