{"id":"W2057693135","doi":"10.1088/0957-0233/26/5/055601","title":"A comparison of magnetic resonance methods for spatially resolved<i>T</i><sub>2</sub>distribution measurements in porous media","year":2015,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Saudi Aramco","keywords":"Adiabatic process; Nuclear magnetic resonance; Spin echo; Computational physics; Materials science; Physics; Porous medium; Optics; Magnetic resonance imaging; Porosity; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003105496,0.0001190485,0.0002483369,0.0001985517,0.0001311686,0.00002113027,0.000313452,0.0000559818,0.000002250941],"category_scores_gemma":[0.0003651793,0.0001155608,0.00002010843,0.00107535,0.0004890526,0.0001021177,0.00007414417,0.000120807,0.000001885702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705645,"about_ca_system_score_gemma":0.0004258523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005692931,"about_ca_topic_score_gemma":0.00009193153,"domain_scores_codex":[0.9983324,0.00003610196,0.0003430308,0.0003513514,0.000606394,0.0003306582],"domain_scores_gemma":[0.9985007,0.00002756877,0.0001442393,0.0002681989,0.0009821494,0.00007712055],"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":[0.00002399362,0.0002291311,0.06729894,0.000007046612,0.000003946925,6.599644e-8,0.0001214584,0.000006044069,0.6392559,0.02155792,0.0002328699,0.2712627],"study_design_scores_gemma":[0.0008539145,0.0002352485,0.004958937,0.00003676702,0.0000185995,4.467681e-7,0.0003507808,0.0009536237,0.9590852,0.02978884,0.003581721,0.000135943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6977096,0.003169041,0.2946591,0.001559274,0.0002239904,0.001334734,0.00004336269,0.00008215241,0.001218755],"genre_scores_gemma":[0.9881155,0.000005208409,0.01163524,0.000009090311,0.00002388883,0.0001971771,0.000006563589,0.00000593715,0.000001403295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3198293,"threshold_uncertainty_score":0.4712432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07129743691783533,"score_gpt":0.3870049762043712,"score_spread":0.3157075392865358,"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."}}