{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002626619,0.0007043123,0.0004417024,0.0004543192,0.0003181266,0.0007335373,0.000888957,0.0008010738,0.0008750828],"category_scores_gemma":[0.01412151,0.0003687854,0.0002688415,0.0002590824,0.0003745165,0.0006363437,0.0004526579,0.000452135,0.0001466955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801435,"about_ca_system_score_gemma":0.00244558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03148239,"about_ca_topic_score_gemma":0.01642129,"domain_scores_codex":[0.9991811,0.0005317846,0.00006652261,0.0001078681,0.0000631334,0.00004965379],"domain_scores_gemma":[0.9951407,0.003766164,0.0003952599,0.0001001008,0.0004937815,0.000104073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002082515,0.0009119208,0.2867765,0.0002865004,0.0001829058,0.0002363439,0.0005327071,0.5664117,0.003035072,0.0006836521,0.001366282,0.1374939],"study_design_scores_gemma":[0.0003983759,0.0004293616,0.02213371,0.00007709341,0.00006040187,0.0001433357,0.0001882734,0.9740021,0.001328333,0.0006902471,0.0005293858,0.00001944114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640815,0.0006265871,0.03207126,0.0008837374,0.0000336712,0.0003207434,0.0001791496,0.0005217966,0.001281508],"genre_scores_gemma":[0.9598894,0.0001858621,0.03922301,0.000093385,0.000009753034,0.0001576587,0.0002004117,0.00001373224,0.0002268175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03148239,"threshold_uncertainty_score":0.06259829,"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."}}