{"id":"W4388908553","doi":"10.2196/46937","title":"Association Between the Characteristics of mHealth Apps and User Input During Development and Testing: Secondary Analysis of App Assessment Data","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Descriptive statistics; Health care; Medicine; Excellence; Download; Computer science; World Wide Web; Nursing; Psychological intervention; 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":[0.02350854,0.00056144,0.001285175,0.005327865,0.0008767938,0.001883833,0.0009211765,0.0008512058,0.003065235],"category_scores_gemma":[0.1032776,0.0003915501,0.002275311,0.00467586,0.00110313,0.001446877,0.002426168,0.001337222,0.0008297489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056459,"about_ca_system_score_gemma":0.002022747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002589191,"about_ca_topic_score_gemma":0.002683676,"domain_scores_codex":[0.9722644,0.01032402,0.006339844,0.00246923,0.007389229,0.001213171],"domain_scores_gemma":[0.7957622,0.116123,0.04677429,0.01004861,0.02830113,0.002990672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00101503,0.0005524923,0.9744211,0.0009701857,0.0003757706,0.0001590363,0.006307519,0.0001598732,0.0006466116,0.0001232724,0.0006276289,0.01464146],"study_design_scores_gemma":[0.0000542811,0.0009684602,0.993419,0.0002458658,0.0001618304,0.0001803244,0.002616313,0.0004241848,0.0005532901,0.0000884586,0.0012582,0.00002976658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991358,0.000239057,0.001374292,0.00007140783,0.00001606136,0.001752574,0.003578619,0.00002632932,0.001583586],"genre_scores_gemma":[0.9886037,0.0001372922,0.002006016,0.00007399413,0.00002071064,0.005764497,0.002736996,0.00002487809,0.0006318723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02350854,"threshold_uncertainty_score":0.1243266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403156473044217,"score_gpt":0.4655132112989188,"score_spread":0.3251975639944971,"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."}}