{"id":"W2146797323","doi":"10.1109/tmi.2007.897390","title":"$T_{2}$-Selective Magnetization Preparation Pulses","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; SickKids Foundation; Women's College Hospital; University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Magnetization; Materials science; Nuclear magnetic resonance; Physics; Magnetic field","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":[0.0002293191,0.0001204482,0.0001006416,0.00009784953,0.0002833973,0.00003855894,0.0001104331,0.00003584552,0.001875579],"category_scores_gemma":[0.00000375491,0.0001199782,0.0000698309,0.0003095345,0.00007601405,0.0001798172,7.818361e-7,0.0002931089,0.0001296294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004239579,"about_ca_system_score_gemma":0.00006849457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211451,"about_ca_topic_score_gemma":0.00003170286,"domain_scores_codex":[0.9989314,0.00002565936,0.0002337507,0.0002415725,0.00031331,0.0002543052],"domain_scores_gemma":[0.9994634,0.0001093241,0.00005319649,0.0001546867,0.00006107502,0.0001583169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001535327,0.001114006,0.003426457,0.00001564353,0.0001103864,0.000008096743,0.00102059,0.00154047,0.02687041,0.01338661,0.002658414,0.9496954],"study_design_scores_gemma":[0.00184932,0.0001674985,0.004335222,0.0001209578,0.0001634086,0.00001928568,0.001063874,0.03504072,0.9330339,0.01303116,0.01039238,0.0007822076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01696923,0.00001390984,0.9656621,0.0006635124,0.0002329912,0.0001886634,0.000009547862,0.00009416822,0.01616593],"genre_scores_gemma":[0.9976348,0.000004910029,0.001264404,0.0001940381,0.0002682841,0.00005346744,0.00001415904,0.00001579239,0.0005501425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9806656,"threshold_uncertainty_score":0.9990368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005706262733949114,"score_gpt":0.3322073037107715,"score_spread":0.3265010409768223,"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."}}