{"id":"W4384210527","doi":"10.23977/acss.2023.070510","title":"Non-invasive blood glucose sensors based on electromagnetic wave","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harbin University of Science and Technology","keywords":"Computer science; Focus (optics); Electronic engineering; Engineering; Physics","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":[0.0003552919,0.0006578304,0.0005786424,0.0005897316,0.0001220641,0.0006178727,0.0005897263,0.0006294399,0.001102524],"category_scores_gemma":[0.0004446632,0.0002823155,0.0004561156,0.000645433,0.0003320878,0.0009833346,0.0003785783,0.0005961487,0.0008479499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943636,"about_ca_system_score_gemma":0.0001833199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001953464,"about_ca_topic_score_gemma":0.0002568149,"domain_scores_codex":[0.9994028,0.00009779874,0.00003003769,0.0001044992,0.0003345602,0.00003036163],"domain_scores_gemma":[0.9998084,0.00007586955,0.00003732598,0.00001221628,0.0000579568,0.000008394867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002689567,0.0001103288,0.001504564,0.006553696,0.0001239906,0.0006446182,0.0001166567,0.0009230829,0.5238182,0.01068847,0.005692378,0.449555],"study_design_scores_gemma":[0.00003022839,0.0008849116,0.007924845,0.0007442277,0.0002552208,0.004457125,0.0001402314,0.009473,0.7368475,0.00489372,0.2342315,0.0001174228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06321184,0.6103361,0.286216,0.001419694,0.002107152,0.000180685,0.0004212909,0.0008669632,0.03524043],"genre_scores_gemma":[0.3433737,0.4618081,0.1626467,0.002161897,0.001447881,0.0002785062,0.0006557325,0.000122735,0.02750467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001102524,"threshold_uncertainty_score":0.003688335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107377765403444,"score_gpt":0.2871775440935576,"score_spread":0.2764397675532131,"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."}}