{"id":"W4385680885","doi":"10.2196/45541","title":"Usability and Satisfaction Testing of Game-Based Learning Avatar-Navigated Mobile (GLAm), an App for Cervical Cancer Screening: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Masonic Cancer Center, University of Minnesota; National Institutes of Health; National Center for Advancing Translational Sciences; University of Minnesota","keywords":"Usability; Session (web analytics); Psychology; Think aloud protocol; Medicine; Avatar; Applied psychology; Medical education; Multimedia; Computer science; World Wide Web; Human–computer interaction","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":[0.01063138,0.0006531868,0.0009151406,0.001290001,0.0007729417,0.00103813,0.0005771311,0.0006040757,0.001290722],"category_scores_gemma":[0.0165555,0.0004139099,0.001470625,0.0007769942,0.0004943235,0.0007002054,0.000664752,0.0004269616,0.0002566301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007032697,"about_ca_system_score_gemma":0.001020532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775397,"about_ca_topic_score_gemma":0.002950657,"domain_scores_codex":[0.9930153,0.003694874,0.0007948945,0.0006210614,0.001584909,0.0002889394],"domain_scores_gemma":[0.9860094,0.008193132,0.001485387,0.0006338396,0.003218909,0.0004593946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.005463266,0.02229501,0.718164,0.0036215,0.001172776,0.001087001,0.04342372,0.0004319042,0.01342046,0.0002791081,0.0009966982,0.1896445],"study_design_scores_gemma":[0.00117165,0.09495521,0.8548581,0.0007177786,0.001450108,0.0015906,0.02446323,0.004152025,0.01165747,0.0003033597,0.004476302,0.0002042903],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966419,0.0001762948,0.001034869,0.00002328094,0.000007800184,0.001342005,0.0001704496,0.00001278024,0.0005906472],"genre_scores_gemma":[0.9872575,0.0004329977,0.006797319,0.0001706085,0.00003089207,0.004184066,0.0002473618,0.00001875152,0.0008604178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063138,"threshold_uncertainty_score":0.05622482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1955953913831389,"score_gpt":0.5520516516561852,"score_spread":0.3564562602730463,"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."}}