{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01143666,0.0004599839,0.001070414,0.0002004865,0.002323066,0.00001907671,0.0003894629,0.0005251529,0.00004298306],"category_scores_gemma":[0.001412446,0.0003348261,0.00009582699,0.0005384245,0.0005235206,0.0002127967,0.0001179642,0.001337366,0.00001406705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006684643,"about_ca_system_score_gemma":0.005413934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195141,"about_ca_topic_score_gemma":0.0009002819,"domain_scores_codex":[0.9919954,0.002178563,0.002247571,0.001170325,0.0005834624,0.001824671],"domain_scores_gemma":[0.9899883,0.003088918,0.001291314,0.001522326,0.0005465578,0.003562601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01526359,0.002837919,0.3416245,0.04124468,0.00005507399,8.928171e-7,0.02643972,0.00002272392,0.00002150618,0.3609567,0.05876421,0.1527684],"study_design_scores_gemma":[0.01127237,0.007730989,0.8331674,0.0003597387,0.0001244415,0.000007898132,0.009581584,0.00195145,0.000009058126,0.03915098,0.09605807,0.0005859829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565102,0.001549828,0.0006335788,0.0183081,0.0006029273,0.02038899,0.0005956321,0.0001988168,0.001211951],"genre_scores_gemma":[0.9727066,0.001452887,0.001352427,0.01252193,0.000557881,0.01099811,0.0001173644,0.00006878282,0.0002240615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4915429,"threshold_uncertainty_score":0.9999104,"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."}}