{"id":"W2608210796","doi":"10.3390/min7050066","title":"Pore Structure Characterization of Shale Using Gas Physisorption: Effect of Chemical Compositions","year":2017,"lang":"en","type":"article","venue":"Minerals","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Korea Institute of Energy Technology Evaluation and Planning; Chonbuk National University","keywords":"Oil shale; Physisorption; Microporous material; Volume (thermodynamics); Specific surface area; Quartz; Mineralogy; Geology; Porosity; Green River Formation; Chemical composition; Chemical engineering; Chemistry; Adsorption; Geotechnical engineering; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002856756,0.0003142504,0.0002553877,0.0006489163,0.0003854186,0.0004527352,0.0002467045,0.0002517029,0.0004890528],"category_scores_gemma":[0.0006067453,0.0001603312,0.0001803096,0.0003394288,0.0004126527,0.0004667978,0.0002236941,0.0002812967,0.00008516667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000462304,"about_ca_system_score_gemma":0.0006391308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04023609,"about_ca_topic_score_gemma":0.115267,"domain_scores_codex":[0.999691,0.00001959106,0.000009750519,0.00005362443,0.0001754092,0.0000506157],"domain_scores_gemma":[0.9996436,0.0001139845,0.00005403477,0.00001591164,0.0001361146,0.00003641425],"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":[0.00004915523,0.00001454405,0.007290902,0.00006807614,0.00001200583,0.00003753568,0.00009889362,0.0002989212,0.9881257,0.00003197223,0.00001618362,0.003956252],"study_design_scores_gemma":[0.000002839314,0.0001611247,0.1004776,0.000006055938,0.0000245827,0.0001594556,0.0002734492,0.002854496,0.8951741,0.00004093834,0.0008081783,0.00001712436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963281,0.0005358155,0.002483987,0.00001601022,0.000002704385,0.00001740307,0.0002094373,0.00002620468,0.0003804193],"genre_scores_gemma":[0.9964212,0.0005292396,0.002421367,0.00001638093,0.00000182424,0.00001244722,0.0002588165,0.000007468427,0.0003313358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04023609,"threshold_uncertainty_score":0.0800038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176750352554708,"score_gpt":0.246626591200533,"score_spread":0.234859087674986,"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."}}