{"id":"W1972980611","doi":"10.2118/09-03-15-da","title":"Advances in Magnetic Resonance Relaxometry for Heavy Oil and Bitumen Characterization","year":2009,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canada Research Chairs; Canadian Natural Resources Limited","keywords":"Relaxometry; Characterization (materials science); Petroleum engineering; Asphalt; Computer science; Environmental science; Permeability (electromagnetism); Process engineering; Construction engineering; Geology; Nanotechnology; Materials science; Engineering; Chemistry; 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":[0.00230077,0.001146485,0.0008330588,0.002735387,0.0002279029,0.001293591,0.0007950031,0.001046052,0.004165384],"category_scores_gemma":[0.00171387,0.0005415693,0.0005199317,0.001509905,0.0004442042,0.00207463,0.0006916611,0.00181201,0.003612041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006231195,"about_ca_system_score_gemma":0.0004265936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005430968,"about_ca_topic_score_gemma":0.0009567778,"domain_scores_codex":[0.9989881,0.0001672114,0.0000731659,0.0002454843,0.0004783093,0.00004782001],"domain_scores_gemma":[0.9981987,0.000823608,0.0001668778,0.00007430825,0.0006807794,0.00005578929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002205085,0.0001436183,0.001340772,0.004293191,0.0001044938,0.0003017001,0.0002166112,0.001965127,0.2426595,0.006246223,0.01828619,0.724222],"study_design_scores_gemma":[0.00002467538,0.0008736601,0.00350825,0.001209675,0.0002034279,0.002120859,0.0001730454,0.006286144,0.2191752,0.004499899,0.7617149,0.0002102709],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01812953,0.7712286,0.1782752,0.004008701,0.002940067,0.0001766185,0.0007566431,0.001202164,0.02328257],"genre_scores_gemma":[0.06374501,0.6787392,0.2290926,0.002032263,0.003521907,0.000220187,0.001292742,0.0005295312,0.02082668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004165384,"threshold_uncertainty_score":0.01393461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003493767848994278,"score_gpt":0.2531383676068771,"score_spread":0.2496445997578828,"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."}}