{"id":"W2953278147","doi":"10.48550/arxiv.1906.07545","title":"Wrist02 -- Reliable Peripheral Oxygen Saturation Readings from Wrist-Worn Pulse Oximeters","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wrist; Peripheral; Saturation (graph theory); Oxygen saturation; Forensic engineering; Computer science; Oxygen; Medicine; Engineering; Physics; Surgery; Mathematics; Operating system","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":[0.0001402136,0.0006204836,0.0005673866,0.0002767537,0.0001288116,0.0001866717,0.0008121882,0.0006382939,0.0002196659],"category_scores_gemma":[0.0000353485,0.0008024836,0.0003051243,0.0004129637,0.00007576365,0.000532082,0.000543343,0.001078251,0.0004935802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001252466,"about_ca_system_score_gemma":0.00007703993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335231,"about_ca_topic_score_gemma":0.00005192251,"domain_scores_codex":[0.9977962,0.00006171421,0.0003315643,0.001067515,0.0001557908,0.0005871801],"domain_scores_gemma":[0.9982958,0.0001129758,0.0001757333,0.001054339,0.0001296052,0.0002315231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001740576,0.00005355333,0.03057263,0.0004153011,0.0006149783,0.0003492232,0.0006097131,0.9068703,0.05590997,0.0009281804,0.00309529,0.0004068202],"study_design_scores_gemma":[0.006703585,0.0004831931,0.0450647,0.003327733,0.002253651,0.00002583759,0.002677292,0.7671117,0.1097826,0.03344284,0.01735706,0.01176973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245722,0.0003352501,0.06237466,0.00001519767,0.003388593,0.0005514839,0.0001252427,0.0007753306,0.007862018],"genre_scores_gemma":[0.9953578,0.0003609019,0.001249072,0.00003055005,0.0005231564,0.000003274328,0.0002510268,0.0001427127,0.002081584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1397585,"threshold_uncertainty_score":0.9994426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334041265212216,"score_gpt":0.1650146362241084,"score_spread":0.1316105097028868,"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."}}