{"id":"W2946091228","doi":"10.1109/jsen.2019.2917122","title":"Tissue Oxygenation Sensor and an Active<i>In Vitro</i>Phantom for Sensor Validation","year":2019,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Computer science; Photoplethysmogram; Imaging phantom; Biomedical engineering; Medicine; Nuclear medicine; Computer vision","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001815971,0.001178627,0.0004362629,0.0006802593,0.0004449297,0.0005713475,0.001361561,0.001595411,0.002996293],"category_scores_gemma":[0.001484988,0.000521968,0.0005518671,0.0007613893,0.0004849665,0.0008706283,0.0004605001,0.0005070529,0.0007200341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498909,"about_ca_system_score_gemma":0.0005550137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007455318,"about_ca_topic_score_gemma":0.00120355,"domain_scores_codex":[0.9988428,0.0002493745,0.0001007799,0.0003166472,0.0004087708,0.00008161744],"domain_scores_gemma":[0.9990091,0.0002515967,0.0001503458,0.0001923676,0.000344676,0.00005191219],"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":[0.0001535754,0.0001710198,0.0003360998,0.000258937,0.00001469466,0.0001373684,0.0001560853,0.001528574,0.9884448,0.0009555014,0.0008456587,0.006997601],"study_design_scores_gemma":[0.00002432045,0.0006744151,0.0006809497,0.00001930854,0.00002592787,0.0001551695,0.00004794777,0.006439068,0.9805387,0.0001130118,0.01125579,0.00002533619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5005504,0.002600959,0.4713462,0.001058117,0.001094673,0.002471814,0.003896751,0.002988085,0.01399296],"genre_scores_gemma":[0.5165955,0.002207872,0.4546837,0.0007369372,0.0001078497,0.004291496,0.003460774,0.0003692457,0.01754673],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002996293,"threshold_uncertainty_score":0.01002359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411324046818953,"score_gpt":0.2621299646042078,"score_spread":0.2480167241360183,"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."}}