{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164258,0.000170508,0.0003559126,0.0001541846,0.00007708019,0.00002124862,0.00008965751,0.00009161996,0.0000658725],"category_scores_gemma":[0.0002525828,0.0001591107,0.00003778713,0.0003297203,0.00006621653,0.0002790322,0.00009240754,0.0002862709,0.00002898957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003100936,"about_ca_system_score_gemma":0.0003780823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003144917,"about_ca_topic_score_gemma":0.0008127281,"domain_scores_codex":[0.9983776,0.0002054627,0.0004586405,0.0003831815,0.0003262383,0.0002488942],"domain_scores_gemma":[0.9983758,0.0002183506,0.0001750567,0.0004575024,0.0005543832,0.0002188747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008887969,0.0003559962,0.945017,0.0006431312,0.0002255501,0.00002589817,0.0476182,0.0001666253,0.003407088,0.0005888594,0.0008793175,0.0001834642],"study_design_scores_gemma":[0.01881802,0.004964172,0.5128573,0.001561855,0.0004250503,0.0001283719,0.2347279,0.2165844,0.007109659,0.0007836625,0.0007788232,0.001260782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898253,0.0002846114,0.001495094,0.001432114,0.0002280602,0.001276301,0.002890832,0.00006708397,0.002500575],"genre_scores_gemma":[0.9967315,0.00007993877,0.001423011,0.0002785405,0.00009306296,0.00006223579,0.00068697,0.00003350107,0.000611284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4321598,"threshold_uncertainty_score":0.6488346,"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."}}