{"id":"W3127797135","doi":"10.3390/s21031020","title":"A Spectral-Based Approach for BCG Signal Content Classification","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université de Sherbrooke","funders":"","keywords":"Pattern recognition (psychology); Artificial intelligence; Computer science; Segmentation; Centroid; SIGNAL (programming language)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006760677,0.0001211231,0.0001288957,0.0000472088,0.00004363584,0.00003487823,0.00006357067,0.0000624051,0.00001994927],"category_scores_gemma":[0.00003956632,0.0001306958,0.00009127944,0.0001426367,0.00001874524,0.00004146116,0.00000642893,0.00009530531,0.00001889227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110629,"about_ca_system_score_gemma":0.00002455195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003707661,"about_ca_topic_score_gemma":0.00000194218,"domain_scores_codex":[0.999285,0.00001911121,0.0001502012,0.0001916357,0.0001215449,0.0002324789],"domain_scores_gemma":[0.9995769,0.00008274958,0.00002013228,0.0001735648,0.00007877754,0.00006791427],"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":[0.00001163577,0.00003465895,0.001163079,0.0001078613,0.00003594593,0.00001014416,0.00006472644,0.06440824,0.9323773,0.0004718594,0.0002398738,0.001074709],"study_design_scores_gemma":[0.0005042313,0.00002854245,0.001631368,0.00002141959,0.00002082839,0.000005839195,0.0003954558,0.1361643,0.8600408,0.00009990777,0.0008695425,0.000217805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6618538,0.0002271978,0.3294349,0.00010621,0.0004746371,0.0004557791,0.00003124605,0.0004207094,0.006995465],"genre_scores_gemma":[0.9749736,0.000004659876,0.02440547,0.00002126669,0.0002406806,0.00005530336,0.0000482056,0.00004095264,0.0002099075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3131197,"threshold_uncertainty_score":0.532962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06176392422137034,"score_gpt":0.2381529348763386,"score_spread":0.1763890106549682,"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."}}