{"id":"W2054990613","doi":"10.1097/00007435-200008000-00005","title":"Improvement of Clinical Algorithms for the Diagnosis of Neisseria gonorrhoeae and Chlamydia trachomatis by the Use of Gram-Stained Smears Among Female Sex Workers in Accra, Ghana","year":2000,"lang":"en","type":"article","venue":"Sexually Transmitted Diseases","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec; Hôpital du Saint-Sacrement; Université de Sherbrooke","funders":"","keywords":"Medicine; Cervicitis; Chlamydia trachomatis; Bacterial vaginosis; Syphilis; Neisseria gonorrhoeae; Trichomonas vaginalis; Chlamydia; Gynecology; Gonorrhea; Trichomoniasis; Obstetrics; Sex organ; Sexually transmitted disease; Immunology; Human immunodeficiency virus (HIV); Microbiology; Biology","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":[0.0006215587,0.0002023681,0.0005177907,0.0001075423,0.000125117,0.00001890188,0.000309383,0.0001712403,0.0003165602],"category_scores_gemma":[0.0004564443,0.0001313322,0.0002035428,0.0003705537,0.001170168,0.0001786694,0.00002580672,0.0002799074,0.000001719507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001738337,"about_ca_system_score_gemma":0.0001390246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00280055,"about_ca_topic_score_gemma":0.0002870977,"domain_scores_codex":[0.9978819,0.0004017408,0.0009020942,0.0004134568,0.00006199525,0.0003388036],"domain_scores_gemma":[0.995871,0.003175338,0.0002203538,0.0005433257,0.0001446517,0.00004533323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008058869,0.001413737,0.6178252,0.0001036803,0.0005754333,3.555669e-7,0.000563145,0.000134205,0.003240429,0.000009474402,0.0004373247,0.3748912],"study_design_scores_gemma":[0.002274064,0.0007769619,0.9860088,0.00005002775,0.0002365543,0.000001394941,0.001819939,0.000105908,0.007357253,0.00004628652,0.001181909,0.0001409408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935464,0.00350323,0.0002080503,0.0002193087,0.0001034437,0.001674545,0.0007098061,0.00001856964,0.00001663403],"genre_scores_gemma":[0.998031,0.0007787166,0.00007963639,0.00003304712,0.00001915719,0.0004292942,0.00009110029,0.00002400835,0.0005140526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3747502,"threshold_uncertainty_score":0.5355572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242287836635797,"score_gpt":0.3370564151374266,"score_spread":0.2846335367710687,"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."}}