{"id":"W4391824868","doi":"10.1016/j.jmr.2024.107637","title":"Fast spin echo MRI of reservoir core plugs with a variable field magnet","year":2024,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Magnet; Spin echo; Nuclear magnetic resonance; Magnetic field; Magnetostatics; Magnetization; Physics; Computational physics; Materials science; Magnetic resonance imaging","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":[0.0004784135,0.0002175417,0.0001949741,0.0002819131,0.0001804081,0.0005373791,0.000493684,0.000520005,0.001214833],"category_scores_gemma":[0.0007298872,0.0002283179,0.00009494132,0.0002115854,0.0003160335,0.001035997,0.0002945412,0.0004323382,0.0002060593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536402,"about_ca_system_score_gemma":0.0003012625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005417327,"about_ca_topic_score_gemma":0.0005008264,"domain_scores_codex":[0.9999267,0.00002307791,0.000003484449,0.00001218391,0.00001833087,0.00001625802],"domain_scores_gemma":[0.9997126,0.0001401071,0.00002721431,0.00004224612,0.00004670051,0.00003108398],"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":[0.001855342,0.0002251861,0.002648141,0.0001701091,0.00002899918,0.001527546,0.0001551721,0.001720202,0.9653065,0.001240413,0.0009514538,0.02417095],"study_design_scores_gemma":[0.000178328,0.002493312,0.01293502,0.00007922931,0.0001224532,0.004144348,0.0002386985,0.04982665,0.920414,0.001164043,0.008349173,0.00005474265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484899,0.0009829812,0.04568177,0.0003980793,0.00006880964,0.00005454557,0.0001509612,0.0003823549,0.003790563],"genre_scores_gemma":[0.9841781,0.0003334216,0.01297559,0.00009116439,0.00002801774,0.00002666502,0.0001027361,0.00009496174,0.002169244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001214833,"threshold_uncertainty_score":0.004064023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479007521593971,"score_gpt":0.3064775240836452,"score_spread":0.2916874488677055,"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."}}