{"id":"W2070952583","doi":"10.1109/jbhi.2014.2301156","title":"Development of mHealth Applications for Pre-Eclampsia Triage","year":2014,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Grand Challenges Canada; Bill and Melinda Gates Foundation","keywords":"mHealth; Triage; Medicine; Medical emergency; Eclampsia; Mobile phone; Telemedicine; Referral; Health care; Computer science; Pregnancy; Family medicine; Nursing; Telecommunications; Psychological intervention","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004771702,0.00009795232,0.0005543682,0.0003202635,0.0001603727,0.000008060428,0.0001251398,0.0001078915,0.000009951807],"category_scores_gemma":[0.0002476488,0.00006893086,0.00006331756,0.0002141539,0.000147541,0.00008660941,0.00002246176,0.0003456601,0.000003483915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475341,"about_ca_system_score_gemma":0.003076065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000344603,"about_ca_topic_score_gemma":0.000002934674,"domain_scores_codex":[0.9964907,0.00003683787,0.002335857,0.00005750978,0.0007315946,0.0003474927],"domain_scores_gemma":[0.9970961,0.0002627975,0.001091284,0.0001413744,0.0003443043,0.001064109],"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":[0.0004657132,0.0002221976,0.0001427364,0.01527398,0.00003702318,7.378791e-7,0.002232083,7.123625e-7,0.0001109247,0.0006110149,0.002057477,0.9788454],"study_design_scores_gemma":[0.004177014,0.002681399,0.003461851,0.0005443466,0.00002033898,0.000123269,0.0003249715,0.001409723,0.0003483779,0.000282229,0.9865561,0.0000704541],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1677768,0.002369293,0.8125437,0.01363311,0.0004443365,0.002862586,0.00003894076,0.00002326183,0.0003079249],"genre_scores_gemma":[0.2560426,0.003511457,0.7255242,0.01290758,0.00163225,0.000145475,0.00004009379,0.00004425311,0.0001521112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9844986,"threshold_uncertainty_score":0.5456807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09951777413278212,"score_gpt":0.4520898469881459,"score_spread":0.3525720728553637,"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."}}