{"id":"W2079027993","doi":"10.2196/mhealth.3942","title":"Usability and Feasibility of PIERS on the Move: An mHealth App for Pre-Eclampsia Triage","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Grand Challenges Canada; Universiteit Stellenbosch; Bill and Melinda Gates Foundation","keywords":"mHealth; Usability; Triage; Medical emergency; Medicine; Mobile phone; Applied psychology; Computer science; Nursing; Psychology; Psychological intervention; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01005111,0.0008112871,0.0004960456,0.0006902362,0.0005307359,0.001457497,0.0007350231,0.0009881313,0.002429161],"category_scores_gemma":[0.03918684,0.0004161619,0.0007988514,0.0002539674,0.000518382,0.001315571,0.001199337,0.0005093055,0.0005674904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004414698,"about_ca_system_score_gemma":0.0006909092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620646,"about_ca_topic_score_gemma":0.00244507,"domain_scores_codex":[0.9957263,0.002223949,0.0005505368,0.0004851822,0.000785641,0.0002283158],"domain_scores_gemma":[0.9756278,0.01958217,0.000857619,0.0007179075,0.002680713,0.0005337944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01539346,0.01664394,0.2688274,0.00762567,0.0005504087,0.002876156,0.08519588,0.00311875,0.04384039,0.0004865796,0.01252168,0.5429196],"study_design_scores_gemma":[0.002516785,0.09108817,0.7910362,0.003204102,0.001219346,0.003913503,0.0382626,0.02148526,0.01839139,0.0005740129,0.02743086,0.0008777688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945154,0.0001427204,0.001985468,0.0001455262,0.00004407263,0.001679783,0.0001585874,0.0001723216,0.00115598],"genre_scores_gemma":[0.9780418,0.0003088436,0.01696073,0.0002298509,0.00003901133,0.002392923,0.0003059806,0.00007433924,0.001646432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005111,"threshold_uncertainty_score":0.05315596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2217003836421199,"score_gpt":0.5262441129709162,"score_spread":0.3045437293287963,"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."}}