{"id":"W3082037932","doi":"10.2196/19242","title":"Investigator Experiences Using Mobile Technologies in Clinical Research: Qualitative Descriptive Study","year":2020,"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":"National Cancer Institute; U.S. Food and Drug Administration; U.S. Department of Health and Human Services","keywords":"Qualitative research; Mobile technology; Descriptive research; Computer science; Psychology; Mobile device; Medical education; Medicine; World Wide Web; Sociology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05070608,0.0006203307,0.00141915,0.003046993,0.01014495,0.006599052,0.002507624,0.002627458,0.003061821],"category_scores_gemma":[0.07678765,0.001275398,0.0008123991,0.003395808,0.01062732,0.007096482,0.009580642,0.00449797,0.0006115702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005730605,"about_ca_system_score_gemma":0.008131741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089217,"about_ca_topic_score_gemma":0.003440096,"domain_scores_codex":[0.9443246,0.04606987,0.002126312,0.001771108,0.002548304,0.003159934],"domain_scores_gemma":[0.8931232,0.08652414,0.007019476,0.001760231,0.006101011,0.00547201],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003914941,0.00005791129,0.003773388,0.0003064451,0.0000064456,0.0005920166,0.9899113,0.00003675306,0.0003546996,0.0009468164,0.0004272374,0.003547785],"study_design_scores_gemma":[0.000007037852,0.00005385803,0.0008013707,0.0002955696,0.000004410072,0.0002486713,0.9929901,0.00006632356,0.00009732797,0.0002505208,0.005171882,0.00001285301],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749988,0.00252456,0.007258619,0.005628305,0.0001551013,0.00118015,0.0003680591,0.00004957152,0.007836811],"genre_scores_gemma":[0.9889079,0.002471416,0.003233194,0.001923451,0.00005874818,0.001375475,0.0001196186,0.0000384243,0.001871767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9492939,"threshold_uncertainty_score":0.2681626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6687790364115255,"score_gpt":0.6626190000341952,"score_spread":0.006160036377330314,"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."}}