{"id":"W4403816092","doi":"10.2196/preprints.67994","title":"Correction: 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 (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preference; Medicine; Telecommunications; Computer science; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006608068,0.001618704,0.001585573,0.003508234,0.003011536,0.003496065,0.003936974,0.004009225,0.09537275],"category_scores_gemma":[0.1837252,0.0008568194,0.001355073,0.003638323,0.001888587,0.001683421,0.001857109,0.005280157,0.03066775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00774014,"about_ca_system_score_gemma":0.01488531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1909491,"about_ca_topic_score_gemma":0.1272447,"domain_scores_codex":[0.9924602,0.00112444,0.001366126,0.001027466,0.003379763,0.0006420052],"domain_scores_gemma":[0.893297,0.01971999,0.003426344,0.007634414,0.07271283,0.003209566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006498161,0.000004643789,0.0003760193,0.0001763149,0.00002487464,0.0001093664,0.00009303181,0.00005887218,0.00005077771,0.0005009019,0.9942099,0.004330303],"study_design_scores_gemma":[0.0002139047,0.00005330168,0.01119644,0.0009866569,0.0001382987,0.0006200797,0.000554501,0.001122891,0.0008990946,0.001764482,0.9822997,0.0001506242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.001294151,0.0006192127,0.001217028,0.05337789,0.9247258,0.00009994645,0.01316932,0.0009965497,0.004500132],"genre_scores_gemma":[0.138617,0.005716148,0.01623046,0.08092262,0.2270138,0.0009910522,0.02393389,0.009075398,0.4974996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8090509,"threshold_uncertainty_score":0.3796754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07303673829096911,"score_gpt":0.3616331070797543,"score_spread":0.2885963687887851,"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."}}