{"id":"W4289654186","doi":"10.21203/rs.3.rs-1915269/v1","title":"Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal model","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Anesthesia; Hemodynamics; Blood pressure; Pentobarbital; Oxygen saturation; Resuscitation; Cardiology; Cardiac output; Cardiopulmonary resuscitation; Internal medicine; Oxygen; Chemistry","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":[0.003523755,0.0002352266,0.0004720489,0.0005510241,0.00009219436,0.00006208378,0.00039071,0.000258985,0.00002910362],"category_scores_gemma":[0.0003047229,0.0002952531,0.0002186565,0.0004934566,0.00007937846,0.0001539435,0.0001550479,0.001133045,0.00000116716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335589,"about_ca_system_score_gemma":0.0005149787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003922499,"about_ca_topic_score_gemma":0.0001605193,"domain_scores_codex":[0.9958712,0.0005660391,0.000480566,0.0004508739,0.002117802,0.00051351],"domain_scores_gemma":[0.9980614,0.0002560242,0.00007486036,0.0005975032,0.0009050106,0.0001052402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001861537,0.00005031484,0.001310732,0.001107313,0.0000564365,0.000002291012,0.001096336,0.4138599,0.5802587,0.000008395826,0.000004453435,0.002058976],"study_design_scores_gemma":[0.0004558809,0.0009128151,0.005459911,0.0003119476,0.00006795887,4.288647e-7,0.0004496426,0.5594006,0.4292879,0.003368822,0.000009849742,0.0002741879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913266,0.0009735996,0.00347233,0.000003978458,0.0004823994,0.002674795,0.0004958559,0.00007724726,0.0004932372],"genre_scores_gemma":[0.99654,0.00008996518,0.001863521,1.615148e-7,0.0001865973,0.001129619,0.00007988454,0.0001025343,0.000007751091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1509708,"threshold_uncertainty_score":0.9999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.080145202719285,"score_gpt":0.3813702330630369,"score_spread":0.3012250303437519,"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."}}