{"id":"W4411894864","doi":"10.1038/s41598-025-03864-1","title":"Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Hypoglycemia; Computer science; Deep learning; Artificial intelligence; Machine learning; Medicine; Pediatrics; Internal medicine; Insulin","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":[0.0003154489,0.0006038616,0.0004946464,0.000354092,0.0001474942,0.000327441,0.0008259979,0.0005076772,0.001216638],"category_scores_gemma":[0.0007119583,0.0002170751,0.0003200742,0.0003001922,0.0001288643,0.0003793967,0.0005142763,0.0006086294,0.00031714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004967045,"about_ca_system_score_gemma":0.0005264796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005068066,"about_ca_topic_score_gemma":0.005670258,"domain_scores_codex":[0.999833,0.00002509911,0.00001260485,0.000050247,0.00004011174,0.00003882443],"domain_scores_gemma":[0.9998523,0.0000402896,0.00002142033,0.00001167843,0.00006047528,0.00001379675],"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":[0.0009298181,0.000695504,0.01162469,0.0002363996,0.0001794921,0.0005417101,0.0001074182,0.2508576,0.02118272,0.001648543,0.01002468,0.7019714],"study_design_scores_gemma":[0.000009200302,0.00009486636,0.001200184,0.00001004134,0.00001576413,0.00003594699,0.00001203157,0.9948949,0.002581612,0.000587868,0.000551458,0.000006182973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3366559,0.004105277,0.6447068,0.000985213,0.0003634985,0.0001441571,0.001340075,0.004394437,0.007304554],"genre_scores_gemma":[0.9427282,0.0006110698,0.04993265,0.000295093,0.00004942413,0.000122433,0.001214539,0.00003577871,0.005010937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005068066,"threshold_uncertainty_score":0.01007712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202153802551517,"score_gpt":0.23575575281877,"score_spread":0.2237342147932548,"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."}}