{"id":"W6920712724","doi":"10.6084/m9.figshare.14345376.v1","title":"Design of an mHealth application for winter mobility for mobility device users","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Focus group; Grey literature; Stakeholder; Variety (cybernetics); Process (computing); Mobile device; Telemedicine; Asynchronous communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006201163,0.0007311086,0.0005949042,0.001467575,0.001411671,0.002024314,0.001653363,0.001971627,0.007028629],"category_scores_gemma":[0.008011463,0.0006689551,0.001110548,0.0005723466,0.000709331,0.001914599,0.001997293,0.001029119,0.002055128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008100102,"about_ca_system_score_gemma":0.002804503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039237,"about_ca_topic_score_gemma":0.001440136,"domain_scores_codex":[0.9972339,0.001530629,0.0002661517,0.0003234626,0.0004097171,0.0002361876],"domain_scores_gemma":[0.9965826,0.001962331,0.0001785994,0.000180632,0.0007286693,0.0003673048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00288338,0.004501285,0.01804448,0.01287328,0.0002301612,0.007628885,0.06182802,0.006908856,0.1154433,0.00850572,0.01830388,0.7428489],"study_design_scores_gemma":[0.005241048,0.030199,0.09871393,0.009819573,0.001722215,0.009148966,0.05587751,0.0705253,0.1245576,0.01971763,0.5731899,0.001287351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3480905,0.001384271,0.5327894,0.003719228,0.0008516616,0.07169375,0.00110585,0.006042371,0.03432293],"genre_scores_gemma":[0.2016314,0.0008896008,0.7486049,0.0008487517,0.00009039832,0.0353246,0.0003812966,0.0002318964,0.01199718],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007028629,"threshold_uncertainty_score":0.03279525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1974718086593895,"score_gpt":0.4815105945019274,"score_spread":0.2840387858425379,"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."}}