{"id":"W4417230801","doi":"10.1111/birt.70037","title":"Next‐Gen Midwifery Support: Designing an Artificial Intelligence ( <scp>AI</scp> ) Enhanced Mobile App for Pregnancy Risk Categorization and Clinical Decision Support on Maternal and Neonatal Outcomes","year":2025,"lang":"en","type":"article","venue":"Birth","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Categorization; Decision support system; Psychological intervention; Mobile apps; Pregnancy; mHealth; Risk assessment","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":[0.001402566,0.0004113308,0.0001976021,0.0003073261,0.0003566893,0.0008619201,0.000700838,0.00072036,0.004626032],"category_scores_gemma":[0.00398348,0.000198001,0.0003566983,0.000142108,0.0001847492,0.0006517951,0.0007247964,0.0003806043,0.001344475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011424,"about_ca_system_score_gemma":0.000839814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623928,"about_ca_topic_score_gemma":0.002557806,"domain_scores_codex":[0.9994289,0.0002269345,0.00005343963,0.0001179006,0.0001048756,0.0000678551],"domain_scores_gemma":[0.9990971,0.0005113037,0.0000764277,0.00005962706,0.0001478923,0.0001075797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001614468,0.001895405,0.08919569,0.002212419,0.0001885905,0.002116209,0.007061121,0.005917854,0.05937628,0.002984535,0.04311734,0.78432],"study_design_scores_gemma":[0.001348827,0.0103798,0.1525828,0.002839096,0.001143214,0.008697771,0.007318014,0.2775086,0.1287056,0.01228096,0.3966167,0.0005784835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6509581,0.001219137,0.2864429,0.005808829,0.0004437296,0.00756362,0.003176312,0.0116568,0.03273058],"genre_scores_gemma":[0.5407224,0.0006099173,0.4409713,0.00202023,0.00007402726,0.002465234,0.001391127,0.0002140171,0.01153171],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004626032,"threshold_uncertainty_score":0.01547563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09726595510743101,"score_gpt":0.4366934826585346,"score_spread":0.3394275275511036,"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."}}