{"id":"W4388687631","doi":"10.1021/acs.energyfuels.3c02528","title":"Quantifying Gas Storage and Transport in an Intact Core Sample Using Low-Field NMR and Pressure Measurements","year":2023,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Office of Energy Research and Development","keywords":"Chemistry; Adsorption; Desorption; Analytical Chemistry (journal); Oil shale; Natural gas; Methane; Carbon dioxide; Hydrogen; Permeability (electromagnetism); Core sample; Core (optical fiber); Chromatography; Geology; Materials science; Organic chemistry","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":[0.0002899902,0.000467547,0.0002658232,0.0004047719,0.000332461,0.0003932952,0.0003943737,0.0004201773,0.001433626],"category_scores_gemma":[0.0004069421,0.0002275958,0.0001973513,0.0003367179,0.0003847844,0.0008675031,0.0003358205,0.0006682844,0.0003899496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697389,"about_ca_system_score_gemma":0.0003935023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685933,"about_ca_topic_score_gemma":0.002960249,"domain_scores_codex":[0.9998424,0.000007183508,0.000005850296,0.00005156381,0.00006483403,0.00002814448],"domain_scores_gemma":[0.9998296,0.00004565642,0.00002870762,0.00001768166,0.00005910499,0.00001915855],"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":[0.00002266183,0.00001123713,0.0003316048,0.00001923963,0.000002059925,0.00002004113,0.00002320579,0.0001139721,0.9982272,0.00004559545,0.00002451426,0.001158745],"study_design_scores_gemma":[0.000005428295,0.0001087054,0.008024702,0.000003719476,0.00001190509,0.00005395535,0.00006812209,0.007251608,0.9833899,0.00007222874,0.0009994161,0.00001020762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479455,0.0003590891,0.04774737,0.00008170794,0.00003956051,0.00007697486,0.0009508599,0.0006858183,0.002113005],"genre_scores_gemma":[0.9154038,0.0007725173,0.07805036,0.00009973867,0.00002897467,0.0002240895,0.001542051,0.0002369452,0.003641342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001685933,"threshold_uncertainty_score":0.004795909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0714101448006406,"score_gpt":0.3522837422036478,"score_spread":0.2808735974030072,"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."}}