{"id":"W4404389692","doi":"10.18280/ts.410533","title":"Bioelectrical Signals Detection of Hyperglycaemia and Hypertension","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Al-Nahrain University","keywords":"Medicine; Cardiology; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002472975,0.0003500092,0.0002827874,0.0008038016,0.0001041101,0.0004939714,0.0001484834,0.0003167028,0.001625003],"category_scores_gemma":[0.0009876037,0.00009644484,0.000133115,0.0007063161,0.00013541,0.0001855972,0.0002344658,0.0002439163,0.0003366351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009811064,"about_ca_system_score_gemma":0.0001006687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000621082,"about_ca_topic_score_gemma":0.000525545,"domain_scores_codex":[0.9997213,0.00008633189,0.00003309053,0.0000534069,0.00007483725,0.00003089222],"domain_scores_gemma":[0.9997057,0.00009286574,0.00008348608,0.00001780044,0.00007159032,0.00002835986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001984088,0.0003204075,0.5323427,0.0008746761,0.0003289339,0.001992095,0.001104819,0.0006417191,0.2070434,0.0005283034,0.002576041,0.2502626],"study_design_scores_gemma":[0.00004822697,0.0008320442,0.9740214,0.00008598117,0.0001020186,0.004253463,0.0006054792,0.00177525,0.01437229,0.0004047939,0.003473068,0.00002598726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736711,0.004040936,0.01044584,0.0002401178,0.0001230134,0.0001110126,0.001297642,0.0001451588,0.009925161],"genre_scores_gemma":[0.9911334,0.001654885,0.004393271,0.0001632691,0.000114294,0.00007981923,0.0004693425,0.00001214955,0.001979676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001625003,"threshold_uncertainty_score":0.005436182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009883574339687512,"score_gpt":0.1979209226081143,"score_spread":0.1880373482684268,"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."}}