{"id":"W4212875816","doi":"10.2196/32244","title":"Development of a Mobile App for Clinical Research: Challenges and Implications for Investigators","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Timeline; Computer science; Data science; Mobile technology; Data collection; Digital health; Mobile device; Internet privacy; World Wide Web; Health care; Medicine; Psychological intervention; Nursing","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":[0.1329521,0.0009909006,0.00109562,0.002477071,0.004525881,0.01556074,0.005791196,0.008131756,0.007842342],"category_scores_gemma":[0.240994,0.0008642536,0.001454656,0.002022309,0.005974967,0.01800042,0.009052012,0.007281208,0.006694529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903777,"about_ca_system_score_gemma":0.01289644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466296,"about_ca_topic_score_gemma":0.002108642,"domain_scores_codex":[0.9023884,0.07324412,0.006585362,0.002871005,0.013186,0.001725107],"domain_scores_gemma":[0.6508842,0.2684462,0.008465409,0.02080448,0.03726374,0.01413599],"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":[0.0004146394,0.0007309171,0.0119534,0.00474375,0.00009796243,0.002325252,0.01041217,0.0008228309,0.003102486,0.03316544,0.08464213,0.847589],"study_design_scores_gemma":[0.0006407157,0.003367413,0.01419365,0.025918,0.000330312,0.01270607,0.03928684,0.00631632,0.004499779,0.1502912,0.7419137,0.0005358943],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02953506,0.03780929,0.1229802,0.7528229,0.008109373,0.004815583,0.0006150482,0.001755004,0.04155761],"genre_scores_gemma":[0.1973407,0.05566809,0.6171862,0.09713475,0.006696691,0.01185363,0.0006675821,0.0006981374,0.01275415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1329521,"threshold_uncertainty_score":0.7031264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5607490793203658,"score_gpt":0.6158291544302732,"score_spread":0.05508007510990742,"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."}}