{"id":"W2594379112","doi":"10.1097/olq.0000000000000599","title":"Can Social Network Analysis Help Address the High Rates of Bacterial Sexually Transmitted Infections in Saskatchewan?","year":2017,"lang":"en","type":"article","venue":"Sexually Transmitted Diseases","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Ottawa; Saskatchewan Disease Control Laboratory; Health Canada; Regina Qu'Appelle Health Region; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Sexually transmitted disease; Gonococcal infection; Sexually active; Gonorrhea; Virology; Syphilis; Human immunodeficiency virus (HIV)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001632311,0.0004354421,0.0003006292,0.002268139,0.00108126,0.00169541,0.0009537652,0.000455748,0.004737475],"category_scores_gemma":[0.00899163,0.0002222762,0.0004137003,0.003780433,0.000461034,0.00135037,0.001484833,0.0006675801,0.0006151062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009441881,"about_ca_system_score_gemma":0.02208315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8486396,"about_ca_topic_score_gemma":0.9582163,"domain_scores_codex":[0.9992294,0.0003298263,0.00004030211,0.0000748498,0.000111925,0.0002136851],"domain_scores_gemma":[0.9960657,0.001241512,0.0005568518,0.0002097037,0.00122519,0.0007010432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007799007,0.00008026831,0.8615822,0.0004522062,0.0003538795,0.0002330837,0.001810435,0.002426311,0.0007056416,0.001911811,0.01773187,0.1126344],"study_design_scores_gemma":[0.00004050586,0.00005767876,0.945411,0.0009953103,0.0002335433,0.0001039389,0.0133082,0.0116143,0.0004386331,0.006344244,0.02138189,0.00007077168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8748573,0.005575566,0.013541,0.06064392,0.0003638315,0.0005607929,0.01760514,0.0002954884,0.02655691],"genre_scores_gemma":[0.9730605,0.005097033,0.01278497,0.002905335,0.00006633158,0.0003363087,0.002791193,0.00003028938,0.002927908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1513604,"threshold_uncertainty_score":0.3045035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837515103609647,"score_gpt":0.3003818169893729,"score_spread":0.2820066659532764,"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."}}