{"id":"W1963620317","doi":"10.1088/0967-3334/28/8/016","title":"Mobile detection system to evaluate reactive hyperemia using radionuclide plethysmography","year":2007,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Reactive hyperemia; Plethysmograph; Radionuclide; Medicine; Reproducibility; Intraclass correlation; Biomedical engineering; Nuclear medicine; Blood flow; Cardiology; Chemistry; Chromatography; Physics","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":[0.001373541,0.0002421664,0.0004407999,0.0001436175,0.0001634939,0.00001318151,0.0001001501,0.0001455095,0.00007874237],"category_scores_gemma":[0.0003751986,0.000161151,0.000239511,0.0004552834,0.00007441754,0.00004133359,0.00004874672,0.0002251975,0.00007938416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000583364,"about_ca_system_score_gemma":0.00004178583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002556412,"about_ca_topic_score_gemma":0.000002056412,"domain_scores_codex":[0.9976925,0.0002368357,0.0003969951,0.0004746541,0.0007758646,0.0004232063],"domain_scores_gemma":[0.9986869,0.000110048,0.0001188176,0.0003196428,0.000406914,0.0003576895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004595322,0.0001853864,0.00008666899,0.00003524986,0.00006526498,0.00001157516,0.00007912632,0.0003817267,0.9695904,0.00005702426,0.00002968223,0.02488257],"study_design_scores_gemma":[0.001197085,0.002570449,0.669872,0.0002173336,0.0001336974,0.00004959401,0.0004494202,0.0007782535,0.3228004,0.0001753993,0.001425724,0.0003305615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905881,0.0001586405,0.007121746,0.00001737347,0.0001973499,0.001069114,0.000003496269,0.0002199903,0.0006242489],"genre_scores_gemma":[0.9976044,0.000004660823,0.001603829,0.0004020628,0.0002739104,0.00007067218,0.000004725442,0.00001853247,0.00001717799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6697854,"threshold_uncertainty_score":0.6571549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354153747459948,"score_gpt":0.3524997063158982,"score_spread":0.2170843315699033,"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."}}