{"id":"W2540704916","doi":"10.1109/tic-sth.2009.5444407","title":"Non-invasive health monitoring system (NIHMS)","year":2009,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Bluetooth; Microcontroller; Oxygen saturation; Computer science; Blood pressure; Breathing; Automation; Population; Real-time computing; Embedded system; Medicine; Engineering; Wireless; Telecommunications; Anesthesia; Oxygen","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000150771,0.0002770112,0.0003232925,0.0001510404,0.0001292371,0.00007586117,0.0002434396,0.00008856605,0.00001018258],"category_scores_gemma":[0.00001475986,0.0002799499,0.00009095598,0.0003156678,0.0000127282,0.000265251,0.00002652693,0.0002211905,0.0002803842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006089527,"about_ca_system_score_gemma":0.00005030214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000518478,"about_ca_topic_score_gemma":0.000004486583,"domain_scores_codex":[0.9984691,0.00001546705,0.00035856,0.0002646043,0.0002765352,0.0006157422],"domain_scores_gemma":[0.9992106,0.00005766243,0.00004393596,0.0003610658,0.00004980771,0.0002769118],"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":[0.00002477707,0.0001078252,0.0381947,0.001673356,0.0002190069,0.0002726669,0.002027899,0.02196174,0.8605383,0.003785633,0.008196515,0.06299755],"study_design_scores_gemma":[0.00100548,0.0003740212,0.02062016,0.001287078,0.00002070275,0.00007529811,0.002357394,0.001143186,0.971111,0.0002230264,0.0007156887,0.001066986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7988277,0.002528649,0.05088164,0.0003695439,0.007728263,0.001219532,0.00001266624,0.006429675,0.1320023],"genre_scores_gemma":[0.9944524,0.0000954452,0.004078871,0.00004251963,0.001119819,0.00001817497,0.000002283043,0.00005101494,0.000139505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1956246,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149944184807909,"score_gpt":0.2327019075760638,"score_spread":0.2212024657279847,"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."}}