{"id":"W4246215033","doi":"10.1016/j.jmr.2009.03.002","title":"Spin echo SPI methods for quantitative analysis of fluids in porous media","year":2009,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Porous medium; Spin echo; Attenuation; Flip angle; Pulse sequence; Porosity; Acoustics; Optics; Materials science; Physics; Nuclear magnetic resonance; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005122387,0.00008859653,0.0004045068,0.0002247458,0.00002495551,0.00001210605,0.0001938921,0.00002576099,0.0001408027],"category_scores_gemma":[0.00004731444,0.00007649215,0.0002037777,0.0006820597,0.00003712722,0.0000713086,0.000007829458,0.0001279403,0.000001066913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001797272,"about_ca_system_score_gemma":0.00005670169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002898094,"about_ca_topic_score_gemma":0.0000072098,"domain_scores_codex":[0.9990209,0.00006060052,0.000545867,0.0001090857,0.0001185363,0.0001450336],"domain_scores_gemma":[0.9990562,0.0002699553,0.0003427053,0.0001447111,0.0001390251,0.00004738904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002741674,0.0006592623,0.01624638,0.00001087047,0.0001867338,0.000003316679,0.0013461,0.0005488462,0.08079204,0.1314605,0.000970715,0.7675011],"study_design_scores_gemma":[0.002677951,0.002385061,0.8063506,0.0001548649,0.001134562,0.000003352321,0.001100641,0.01581735,0.03986413,0.106915,0.0232021,0.0003943664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5554596,0.0102044,0.4298959,0.000974367,0.00009538043,0.0002877828,0.00006964918,0.000004302959,0.003008665],"genre_scores_gemma":[0.6611437,0.00009117492,0.3385237,0.00003935956,0.00008746661,0.0000077931,0.000004085148,0.000005137273,0.0000976397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7901043,"threshold_uncertainty_score":0.3119259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021475917978718,"score_gpt":0.4136826308525638,"score_spread":0.3934678716727767,"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."}}