{"id":"W1978421595","doi":"10.1002/jmri.20311","title":"Multisite trial of MR flow measurement: Phantom and protocol design","year":2005,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Imperial College London; Heart and Stroke Foundation of Canada","keywords":"Imaging phantom; Materials science; Silicone; Biomedical engineering; Repeatability; Quality assurance; Flow (mathematics); Nuclear medicine; Geometry; Composite material; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05027373,0.002196877,0.001597653,0.001094776,0.001590396,0.001293983,0.002857368,0.002440809,0.01000896],"category_scores_gemma":[0.03460401,0.001346419,0.0010103,0.001541339,0.001943606,0.001459587,0.00236216,0.001848558,0.003724719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455556,"about_ca_system_score_gemma":0.004859787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004681944,"about_ca_topic_score_gemma":0.0009606045,"domain_scores_codex":[0.9666976,0.02416095,0.003114958,0.002183048,0.003138479,0.0007050501],"domain_scores_gemma":[0.9733573,0.007080588,0.003471327,0.008453432,0.006404096,0.001233219],"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":[0.1476718,0.03733872,0.01496221,0.01489406,0.001117441,0.001962517,0.002622408,0.01919412,0.2729067,0.01262566,0.02200815,0.4526962],"study_design_scores_gemma":[0.06318238,0.3252239,0.0429281,0.002035991,0.002186919,0.005538811,0.0007619473,0.02963113,0.2755061,0.007495939,0.2443813,0.001127494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.07474252,0.00173871,0.3717506,0.0005551705,0.000749059,0.542179,0.001346353,0.001808091,0.005130596],"genre_scores_gemma":[0.05907911,0.0005853955,0.3520896,0.0007628581,0.0003260334,0.5838652,0.001007363,0.0003796611,0.001904794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05027373,"threshold_uncertainty_score":0.2658761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774232214668007,"score_gpt":0.3407128391478298,"score_spread":0.3029705170011498,"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."}}