{"id":"W4388942487","doi":"10.2196/53284","title":"Connecting Actors With the Introduction of Mobile Technology in Health Care Practice Placements (4D Project): Protocol for a Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Erasmus+; Universität Duisburg-Essen; Uniwersytet Medyczny w Lublinie; Österreichische Forschungsförderungsgesellschaft; University of Twente; Universitat Pompeu Fabra; Austrian Federal Ministry of Economy, Family and Youth; European Commission; TU Graz, Internationale Beziehungen und Mobilitätsprogramme","keywords":"Process (computing); Health care; Protocol (science); Mobile technology; Focus group; Mobile device; Computer science; Population; Knowledge management; Medical education; Medicine; Sociology; 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":[0.111553,0.004988566,0.005654385,0.005956312,0.006201486,0.00574295,0.00473721,0.009049831,0.05577056],"category_scores_gemma":[0.09130912,0.003828341,0.005008186,0.004888332,0.005008521,0.003619831,0.004438063,0.007913324,0.01747508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007889267,"about_ca_system_score_gemma":0.03375937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004150455,"about_ca_topic_score_gemma":0.005998206,"domain_scores_codex":[0.9262018,0.04869374,0.0107151,0.004478926,0.005797227,0.004113201],"domain_scores_gemma":[0.9241638,0.02980781,0.008106235,0.0115314,0.02220885,0.004181899],"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":[0.1016136,0.03537083,0.0072526,0.1475558,0.001340608,0.004042312,0.0512505,0.01203898,0.01444663,0.05455618,0.1324155,0.4381166],"study_design_scores_gemma":[0.09956384,0.03551049,0.01784457,0.06701475,0.0008711403,0.00065013,0.02554419,0.005759839,0.01283471,0.02496713,0.7084324,0.0010068],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0006953707,0.00007892435,0.0021932,0.00008892205,0.00008976522,0.995821,0.0005121243,0.00002848137,0.0004921576],"genre_scores_gemma":[0.00030581,0.00003710519,0.002099118,0.00003853109,0.000007879242,0.9973752,0.00004350532,0.000002397804,0.00009049552],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.111553,"threshold_uncertainty_score":0.5899558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3519964894260937,"score_gpt":0.7283359544757093,"score_spread":0.3763394650496156,"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."}}