{"id":"W4251733338","doi":"10.1002/mrm.21180","title":"Independent phase modulation for efficient dual‐band 3D imaging","year":2007,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Slab; Physics; Nuclear magnetic resonance; Encoding (memory); Phase (matter); Modulation (music); Optics; Excited state; Computer science; Acoustics; Artificial intelligence; Atomic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003750077,0.0004418628,0.000307509,0.000340561,0.0002088954,0.0006544131,0.0005037106,0.0006030955,0.004069902],"category_scores_gemma":[0.0009123851,0.0005189689,0.0002316091,0.00060233,0.0003695379,0.0006111437,0.0009730101,0.0008731614,0.001679237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002386664,"about_ca_system_score_gemma":0.0002991528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657212,"about_ca_topic_score_gemma":0.000341794,"domain_scores_codex":[0.9997589,0.00005168696,0.000009512287,0.00003594627,0.0001212665,0.00002260242],"domain_scores_gemma":[0.9995993,0.0002017334,0.00004857915,0.00007641378,0.00005443295,0.00001946969],"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":[0.0002131089,0.00005450885,0.000177103,0.0001865165,0.00001367559,0.000115745,0.0001026063,0.004612707,0.8357829,0.01075765,0.002432914,0.1455506],"study_design_scores_gemma":[0.0001013603,0.0001692738,0.001045987,0.00004862655,0.00003082464,0.001458456,0.00002842603,0.1636784,0.769093,0.007453284,0.05681994,0.00007227708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03354133,0.001066761,0.9566433,0.0003162631,0.00009581194,0.00007263667,0.00008533019,0.0008607325,0.007317897],"genre_scores_gemma":[0.2251739,0.001069615,0.769263,0.0002030795,0.00006016745,0.0002267565,0.0001866342,0.0002678799,0.003549101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004069902,"threshold_uncertainty_score":0.01361513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148913459677806,"score_gpt":0.3670307832332084,"score_spread":0.3455416486364303,"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."}}