{"id":"W4387913704","doi":"10.1109/etncc59188.2023.10284951","title":"Revolutionizing Obstetric Care: IoT, AI-Enabled, and Data-Driven Partograph System","year":2023,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Receptionists; Psychological intervention; Medical emergency; Computer science; Medicine; Computer security; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005173469,0.0004707669,0.0003232432,0.000813279,0.0002846816,0.001272766,0.0009363203,0.0007345193,0.003283099],"category_scores_gemma":[0.001446366,0.0002133258,0.0002814243,0.0006580445,0.0002320386,0.001106912,0.001205389,0.000621216,0.001404213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958019,"about_ca_system_score_gemma":0.000539673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348025,"about_ca_topic_score_gemma":0.001024556,"domain_scores_codex":[0.9995725,0.00009409386,0.00003951027,0.00009630594,0.0001500543,0.00004753388],"domain_scores_gemma":[0.9993806,0.0001756131,0.00005904661,0.0001162691,0.0001646018,0.0001038252],"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":[0.00101234,0.0003507075,0.01900578,0.0007772365,0.0001259918,0.001967336,0.0007011094,0.008439968,0.05961806,0.02247737,0.09205794,0.7934662],"study_design_scores_gemma":[0.0002463519,0.001401422,0.02729432,0.0006404048,0.0004325598,0.005367536,0.000960839,0.338391,0.08125722,0.02851872,0.5151997,0.0002898704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09594974,0.01423612,0.7442812,0.01081331,0.003898186,0.0009655813,0.003737667,0.04178274,0.08433548],"genre_scores_gemma":[0.8098184,0.006044232,0.1524848,0.005091825,0.0009482504,0.0004327452,0.002797147,0.000599221,0.02178325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003283099,"threshold_uncertainty_score":0.01098311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03649962909531065,"score_gpt":0.2659856181005926,"score_spread":0.229485989005282,"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."}}