{"id":"W4415382696","doi":"10.56367/oag-048-12245","title":"Empowering the disempowered: Remote pregnancy monitoring for hard-to-reach populations","year":2025,"lang":"en","type":"article","venue":"Open Access Government","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pregnancy; Gestational age; Premature birth; Infant mortality; Adverse effect; Fetal monitoring","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005103107,0.0005377365,0.0003517632,0.0005734341,0.004769477,0.00350534,0.001328934,0.004018331,0.01425154],"category_scores_gemma":[0.01335392,0.0003195544,0.000476231,0.0004028858,0.002550079,0.005044248,0.009313184,0.008919937,0.002999568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634435,"about_ca_system_score_gemma":0.008335302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00414217,"about_ca_topic_score_gemma":0.01353622,"domain_scores_codex":[0.997264,0.001758529,0.00007153585,0.000139081,0.0003848149,0.0003820129],"domain_scores_gemma":[0.9923413,0.003099721,0.0004503308,0.0002107372,0.0007873257,0.003110529],"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":[0.00008731137,0.0003298566,0.005810961,0.0006602722,0.00002629848,0.0007613763,0.01151098,0.0001759031,0.0006489776,0.01031421,0.4570341,0.5126398],"study_design_scores_gemma":[0.0001276214,0.0007735254,0.01302583,0.005471908,0.0001018557,0.003787503,0.05403076,0.0009192269,0.001389886,0.05083055,0.8694116,0.0001296143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01252628,0.02459944,0.009291714,0.886434,0.008580369,0.0002537904,0.000117621,0.000385234,0.05781162],"genre_scores_gemma":[0.3180859,0.1569036,0.03533547,0.4028594,0.01018698,0.001483742,0.0002757109,0.000421038,0.07444807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01425154,"threshold_uncertainty_score":0.04767615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035042558467131,"score_gpt":0.5793978083239493,"score_spread":0.3758935524772362,"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."}}