{"id":"W7117242628","doi":"10.2196/81115","title":"A Mobile App (MyPeer) Co-Designed With Immigrant Adolescents for Better Sexual and Reproductive Health: Usability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; York University; University of British Columbia; University of Calgary; Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Usability; Mobile apps; Immigration; Social media; Mobile device; Appeal; Participatory design; mHealth; Digital literacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005808568,0.0007915779,0.0007828391,0.0009761899,0.0008615083,0.001238204,0.0008235748,0.0009112218,0.002021846],"category_scores_gemma":[0.01553002,0.0002956063,0.0008318963,0.0003627641,0.0005487716,0.001495943,0.001178147,0.0005763925,0.0003485855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286761,"about_ca_system_score_gemma":0.0007378018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204372,"about_ca_topic_score_gemma":0.002447857,"domain_scores_codex":[0.9976813,0.001366066,0.0002334302,0.0002387604,0.0003100155,0.000170364],"domain_scores_gemma":[0.9882939,0.0088762,0.0003691882,0.0005132401,0.001628457,0.0003189606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00644077,0.01922631,0.152252,0.02022933,0.0009936176,0.0112349,0.1476259,0.002726546,0.05643689,0.001899983,0.01985515,0.5610785],"study_design_scores_gemma":[0.002806263,0.139131,0.4300098,0.01098898,0.003392013,0.02290991,0.1475301,0.03476305,0.05187561,0.002088015,0.1534214,0.00108391],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892901,0.000505882,0.004771482,0.000225629,0.00007847675,0.002742958,0.0003167412,0.0002136528,0.001855244],"genre_scores_gemma":[0.9438962,0.001025265,0.04564527,0.0005304832,0.00006465796,0.005174203,0.0005944035,0.000137524,0.002931834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005808568,"threshold_uncertainty_score":0.03071898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09040375333091724,"score_gpt":0.5333190349179965,"score_spread":0.4429152815870793,"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."}}