{"id":"W2145945239","doi":"10.1002/mrm.10661","title":"Determination of optimal angles for variable nutation proton magnetic spin‐lattice, <i>T</i><sub>1</sub>, and spin‐spin, <i>T</i><sub>2</sub>, relaxation times measurement","year":2003,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Heart and Stroke Foundation of Canada","keywords":"Nutation; Steady-state free precession imaging; Physics; Nuclear magnetic resonance; Spin (aerodynamics); Precession; Weighting; Relaxation (psychology); Range (aeronautics); Computational physics; Condensed matter physics; Materials science; Magnetic resonance imaging; Quantum mechanics; Thermodynamics","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":[0.001465414,0.00087733,0.0007638322,0.0005705321,0.0003005175,0.0006855939,0.0004008304,0.0004550508,0.0008046489],"category_scores_gemma":[0.005194254,0.0005541893,0.0001606507,0.0005535318,0.0004602489,0.0008337831,0.0005992771,0.0006566713,0.0005221203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991307,"about_ca_system_score_gemma":0.0007325732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002958826,"about_ca_topic_score_gemma":0.0006696242,"domain_scores_codex":[0.9992226,0.0002387103,0.00007627231,0.000215845,0.0001978349,0.00004871233],"domain_scores_gemma":[0.9975883,0.001034847,0.0005354729,0.0002128766,0.0005145661,0.0001139676],"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":[0.0008552768,0.0001535234,0.007628537,0.0005220201,0.00004979357,0.0001452596,0.0003008489,0.02813528,0.7177953,0.007964006,0.0007745038,0.2356757],"study_design_scores_gemma":[0.0001347577,0.0005382815,0.006626803,0.00008950268,0.00007858131,0.0003674822,0.0002021422,0.109155,0.8673426,0.00808486,0.00724424,0.0001357705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1975854,0.001174904,0.7985351,0.00008423157,0.00004483858,0.0001096659,0.0001752945,0.0004132618,0.001877368],"genre_scores_gemma":[0.4054565,0.0008770794,0.592508,0.00003145333,0.00001651756,0.0001457007,0.0002549323,0.0002221777,0.0004876705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001465414,"threshold_uncertainty_score":0.007749915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895677280525558,"score_gpt":0.2913688236436471,"score_spread":0.2724120508383915,"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."}}