{"id":"W2966740082","doi":"10.1109/tsp.2019.8769074","title":"Pregnancy Health Monitoring System based on Biosignal Analysis","year":2019,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Photoplethysmogram; Biosignal; Pregnancy; Computer science; Cardiotocography; Complication; Medicine; Obstetrics; Surgery; Telecommunications; Wireless","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":[0.000492582,0.0008555872,0.0007780342,0.001371863,0.0003769876,0.0008837538,0.0009588951,0.0006719371,0.008898511],"category_scores_gemma":[0.001193943,0.0002878447,0.0002991334,0.0004539226,0.0001173503,0.0006603587,0.0007756781,0.000468225,0.004080635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002496754,"about_ca_system_score_gemma":0.0003337299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074731,"about_ca_topic_score_gemma":0.0006256245,"domain_scores_codex":[0.9994308,0.000069092,0.00006286784,0.0002116672,0.0001855152,0.00004001348],"domain_scores_gemma":[0.9994634,0.0001392986,0.0000796407,0.00006852944,0.0001940496,0.00005507571],"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":[0.002729532,0.0006442795,0.03035172,0.0009251621,0.0002152875,0.001930174,0.0006913244,0.004320557,0.09950601,0.002845297,0.08443052,0.7714102],"study_design_scores_gemma":[0.0006632016,0.001925587,0.1337671,0.0005311169,0.0006034795,0.008225111,0.0003890735,0.4191282,0.2496433,0.007270734,0.1772864,0.000566807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1049609,0.004972905,0.6404713,0.001189852,0.001027893,0.001491802,0.009454337,0.1971061,0.03932491],"genre_scores_gemma":[0.8225467,0.002301529,0.1300236,0.001279868,0.0004691538,0.001543451,0.009606232,0.0009385372,0.031291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008898511,"threshold_uncertainty_score":0.02976841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019309142399333,"score_gpt":0.2214445196934254,"score_spread":0.2112514282694321,"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."}}