{"id":"W2996215287","doi":"10.2196/16487","title":"Feasibility and Accuracy of a Computer-Assisted Self-Interviewing Instrument to Ascertain Prior Immunization With Human Papillomavirus Vaccine by Self-Report: Cross-Sectional Analysis","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; National Cancer Institute","keywords":"Medicine; Immunization; Interview; Human papillomavirus; Data collection; Family medicine; Cross-sectional study; Immunology; Internal medicine; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02766971,0.0004771056,0.0005209913,0.001838957,0.0003105969,0.001025648,0.0008048363,0.0008214324,0.0008308447],"category_scores_gemma":[0.05796741,0.000674319,0.001030883,0.001494895,0.0007174063,0.001149541,0.0007905263,0.0007503444,0.0004786952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983429,"about_ca_system_score_gemma":0.0005715374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587063,"about_ca_topic_score_gemma":0.001831908,"domain_scores_codex":[0.984217,0.009019877,0.002073967,0.001160539,0.003048168,0.0004802941],"domain_scores_gemma":[0.9320137,0.04018431,0.01293724,0.004474235,0.009248549,0.00114198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040488,0.0001556009,0.9966505,0.00001945607,0.0000761471,0.000008026282,0.0002003009,0.0001171217,0.0002045754,0.00001029431,0.0000460122,0.002407842],"study_design_scores_gemma":[0.00003468966,0.00116512,0.995131,0.0000243155,0.00006572215,0.0001485342,0.000234527,0.002638328,0.0003365122,0.0000186472,0.0001912604,0.00001142586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965844,0.0001378711,0.001919308,0.00004156569,0.00001349237,0.0002162422,0.000476939,0.00001953868,0.0005905242],"genre_scores_gemma":[0.9966983,0.00008568892,0.002272233,0.00003328103,0.00001202251,0.0002064779,0.0005900456,0.000007383983,0.00009455899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02766971,"threshold_uncertainty_score":0.1463332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154473853775731,"score_gpt":0.3796246074059983,"score_spread":0.348079868868241,"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."}}