{"id":"W2765204137","doi":"10.1016/j.jmr.2017.10.013","title":"BLIPPED (BLIpped Pure Phase EncoDing) high resolution MRI with low amplitude gradients","year":2017,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; University of Windsor","funders":"","keywords":"Amplitude; Phase (matter); Pulse sequence; k-space; Physics; Nuclear magnetic resonance; Image resolution; Optics; Image quality; SIGNAL (programming language); Computer science; Fourier transform; Image (mathematics); Artificial intelligence","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":[0.001625356,0.001645432,0.000392282,0.001098418,0.0007055592,0.001795336,0.001071369,0.003105812,0.02246802],"category_scores_gemma":[0.00231322,0.001159108,0.0002814874,0.0007558517,0.0007388445,0.002920101,0.001445991,0.001917041,0.008693203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328904,"about_ca_system_score_gemma":0.0008962661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006893711,"about_ca_topic_score_gemma":0.001329255,"domain_scores_codex":[0.9995639,0.0001107956,0.00005395981,0.00009388581,0.0001196803,0.00005784446],"domain_scores_gemma":[0.9989931,0.0002400636,0.0001682602,0.0001831104,0.0003324617,0.00008294352],"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":[0.0006377887,0.0001239408,0.0007624212,0.0007645619,0.00005912915,0.0003899031,0.0001118246,0.001128962,0.9311821,0.004339094,0.00405272,0.05644745],"study_design_scores_gemma":[0.000169741,0.0004759686,0.002999428,0.0002545401,0.0001504972,0.00358712,0.0001028974,0.02017953,0.9258543,0.004071899,0.0420431,0.0001108683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1250501,0.002721245,0.8395343,0.001337786,0.0003120964,0.0004585535,0.001122218,0.005927559,0.02353617],"genre_scores_gemma":[0.1667322,0.002021704,0.7990107,0.001002389,0.0001517524,0.000747315,0.00220775,0.002118171,0.02600793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02246802,"threshold_uncertainty_score":0.07516307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173938843818863,"score_gpt":0.3205651400099724,"score_spread":0.3031712556280861,"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."}}