{"id":"W3154933051","doi":"10.2196/25299","title":"Conducting Internet-Based Visits for Onboarding Populations With Limited Digital Literacy to an mHealth Intervention: Development of a Patient-Centered Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Onboarding; mHealth; Telehealth; Telemedicine; Medicine; The Internet; Health care; Intervention (counseling); Population; Health literacy; Medical education; Nursing; Psychology; Psychological intervention; Computer science; World Wide Web; Political science","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":[0.03309333,0.0008508968,0.0006031765,0.001214283,0.002077034,0.001774032,0.002470996,0.001126152,0.007591127],"category_scores_gemma":[0.03542598,0.0005479162,0.001205717,0.0004528763,0.0009305585,0.001887211,0.003709525,0.00156376,0.0009161221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309539,"about_ca_system_score_gemma":0.008852236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008361365,"about_ca_topic_score_gemma":0.002631611,"domain_scores_codex":[0.9749365,0.0202395,0.001168572,0.0009920663,0.001728806,0.000934576],"domain_scores_gemma":[0.9763783,0.0139092,0.002475793,0.001985868,0.002030937,0.003219864],"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":[0.001859926,0.03820554,0.03217188,0.003373041,0.0001430899,0.0005257694,0.02806481,0.0009536442,0.006703598,0.001020092,0.008135195,0.8788434],"study_design_scores_gemma":[0.02856374,0.1544444,0.4278757,0.01604026,0.001711651,0.002045672,0.1032043,0.01878988,0.04615001,0.01221935,0.1881891,0.0007658161],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7629745,0.0007850851,0.08582713,0.01136014,0.000590504,0.1108699,0.0005534495,0.001344738,0.02569458],"genre_scores_gemma":[0.5950872,0.001555647,0.3195354,0.004330743,0.0004422489,0.0759967,0.0003348202,0.0001040767,0.002613105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03309333,"threshold_uncertainty_score":0.1750163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3100275517185441,"score_gpt":0.5459970225738605,"score_spread":0.2359694708553164,"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."}}