{"id":"W2059560329","doi":"10.1002/mrm.10177","title":"Pulse‐wave velocity measured in one heartbeat using MR tagging","year":2002,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Heartbeat; Pulse wave velocity; Pulsatile flow; Imaging phantom; Blood flow; Pulse (music); Biomedical engineering; Nuclear magnetic resonance; Mathematics; Nuclear medicine; Physics; Blood pressure; Cardiology; Medicine; Internal medicine; Optics; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004206074,0.0002026863,0.0005518274,0.0002653434,0.00005732993,0.000005523878,0.000102871,0.0001217322,0.001042667],"category_scores_gemma":[0.0003015967,0.0001853303,0.00003938468,0.0008960536,0.0002247534,0.00006339823,0.00004169246,0.0004409462,0.00001608311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258296,"about_ca_system_score_gemma":0.00002566298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004379121,"about_ca_topic_score_gemma":0.0001141058,"domain_scores_codex":[0.9980813,0.00004705501,0.0005621357,0.0004249565,0.0004363328,0.0004481638],"domain_scores_gemma":[0.9991515,0.00008292934,0.00007802733,0.0004773803,0.00007527646,0.0001348316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002078007,0.0009256061,0.0295436,0.0002111847,0.000005127827,0.0005810767,0.001842922,0.0002119207,0.0714086,0.001329113,0.00345958,0.8902735],"study_design_scores_gemma":[0.01487258,0.002133088,0.4795777,0.008557856,0.0001564249,0.0006650873,0.0008371882,0.2515552,0.006043498,0.006044904,0.2283561,0.001200338],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8480898,0.06780177,0.01464428,0.03942184,0.0002024214,0.003407616,0.00001028345,0.0003690025,0.02605304],"genre_scores_gemma":[0.9320927,0.00274195,0.06147845,0.001902075,0.0002694692,0.0001419226,0.000008277289,0.00004411812,0.001321074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8890731,"threshold_uncertainty_score":0.9998705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070090621496927,"score_gpt":0.3263483142833744,"score_spread":0.2193392521336817,"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."}}