{"id":"W247119118","doi":"10.1016/b978-0-12-397020-6.00002-7","title":"Pure Phase Encode Magnetic Resonance Imaging of Fluids in Porous Media","year":2012,"lang":"en","type":"book-chapter","venue":"Annual reports on NMR spectroscopy","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Porous medium; Sprite (computer graphics); Magnetic resonance imaging; Fast spin echo; Chemistry; Phase imaging; Phase (matter); Phase unwrapping; Materials science; Porosity; Nuclear magnetic resonance; Optics; Physics; Computer science; Microscopy; Computer vision","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":[0.0001982692,0.0004295509,0.0003079608,0.0004386073,0.0001877201,0.0009343169,0.0006910895,0.0004648606,0.003550906],"category_scores_gemma":[0.0003964782,0.0003474947,0.0001508207,0.00040751,0.000552287,0.001654927,0.0006349875,0.0005809632,0.001259189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083907,"about_ca_system_score_gemma":0.0002224229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002319853,"about_ca_topic_score_gemma":0.00049876,"domain_scores_codex":[0.9999318,0.000006428577,0.00000214665,0.00001148557,0.00004011115,0.000008057401],"domain_scores_gemma":[0.9998229,0.0001016654,0.00001544365,0.00001500038,0.00003212057,0.00001284128],"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":[0.0001513699,0.0000320952,0.00009912773,0.0008818837,0.0000226959,0.0001906725,0.000110232,0.00203829,0.8228002,0.02993073,0.005055876,0.138687],"study_design_scores_gemma":[0.0000296445,0.0001682196,0.0006758914,0.0001536786,0.00004889142,0.002108161,0.00008734102,0.02510081,0.8547928,0.02614993,0.09062975,0.00005475454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1135988,0.06655613,0.6941649,0.001701752,0.0007378399,0.0001220629,0.0007330627,0.002618382,0.1197672],"genre_scores_gemma":[0.4843125,0.07145488,0.2721269,0.0009286702,0.0009050198,0.000115763,0.001077216,0.0008728551,0.1682062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003550906,"threshold_uncertainty_score":0.01187903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008570089924016276,"score_gpt":0.305996096251408,"score_spread":0.2974260063273917,"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."}}