{"id":"W4307320949","doi":"10.2196/preprints.43823","title":"The Development of a Hypertension Prevention and Financial-Incentive mHealth Program Using a “No-Code” Mobile App Builder: Development and Usability Study (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Usability; mHealth; Incentive; Computer science; Incentive program; Preprint; Medical education; Medicine; World Wide Web; Psychological intervention; Nursing; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009178816,0.000483684,0.0005271499,0.0006669483,0.0007122485,0.0009609327,0.0008420178,0.0007326926,0.003491637],"category_scores_gemma":[0.02117514,0.0005236297,0.0006309169,0.0002812682,0.0005171908,0.001283956,0.0009648142,0.0007520065,0.000838841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004835657,"about_ca_system_score_gemma":0.001723886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008360728,"about_ca_topic_score_gemma":0.001940143,"domain_scores_codex":[0.9969245,0.001699634,0.0003384405,0.0003184495,0.0005317956,0.0001872179],"domain_scores_gemma":[0.9840984,0.0126554,0.000392439,0.0006758759,0.00163873,0.0005392002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002487721,0.02448397,0.03331495,0.007022148,0.000203932,0.002888201,0.09063327,0.001718693,0.05272994,0.0009636083,0.0250627,0.7584909],"study_design_scores_gemma":[0.006419267,0.1532671,0.3866073,0.004355452,0.001429013,0.005481732,0.06527001,0.02778399,0.1124129,0.0016024,0.2344357,0.0009352121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704561,0.000170192,0.01419718,0.000507143,0.0001518598,0.01010902,0.0004494486,0.0008251723,0.003133822],"genre_scores_gemma":[0.7202436,0.0008467273,0.2441952,0.001495396,0.0001310394,0.02209072,0.001389602,0.0006150826,0.008992567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009178816,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0919055337383186,"score_gpt":0.4359200081829689,"score_spread":0.3440144744446503,"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."}}