{"id":"W4403521627","doi":"10.2196/55075","title":"Feasibility, Preference, and Impact of a Rapid Multiplexed Point-of-Care Digital Innovation (AideSmart!) to Expedite Screening of Sexually Transmitted Blood-Borne Infections in At-Risk Populations in Canada: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","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; McGill University; Newfoundland and Labrador Centre for Applied Health Research; McGill University Health Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Canadian Institutes of Health Research; Grand Challenges Canada","keywords":"Cross-sectional study; Medicine; Point of care; Preference; Environmental health; Statistics; Nursing","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":[0.01062723,0.0007741835,0.0005806506,0.0007867414,0.002714082,0.002167401,0.001593414,0.0009251896,0.002155841],"category_scores_gemma":[0.02145853,0.0006104701,0.001163421,0.001034245,0.001175383,0.0008009647,0.001126118,0.001220558,0.000404387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01265548,"about_ca_system_score_gemma":0.02486575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8264626,"about_ca_topic_score_gemma":0.8993919,"domain_scores_codex":[0.9931862,0.001659981,0.0005361573,0.0006981239,0.0027295,0.001190005],"domain_scores_gemma":[0.9779826,0.003427985,0.002724377,0.0007491672,0.01222714,0.002888714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009982496,0.003068172,0.9665755,0.0003012601,0.0002028029,0.0001667253,0.006482464,0.0002212082,0.0007536726,0.00008093557,0.00160505,0.01954399],"study_design_scores_gemma":[0.0002401993,0.004679584,0.9799177,0.0002542687,0.0002770835,0.0001395356,0.008490687,0.002244799,0.0007999604,0.00004816577,0.002812797,0.00009524616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955826,0.0001827026,0.0003022475,0.00020489,0.00001826781,0.001537572,0.0007229301,0.00001422032,0.001434486],"genre_scores_gemma":[0.9935422,0.0003330309,0.002968943,0.0005313416,0.00001558981,0.0007318022,0.0005396311,0.00001203569,0.001325409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1735374,"threshold_uncertainty_score":0.3491188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335938262595063,"score_gpt":0.4482953342756041,"score_spread":0.3147015080160978,"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."}}