{"id":"W4410880882","doi":"10.1016/j.compgeo.2025.107367","title":"Permeability of marine gas hydrate-bearing sediments considering effective stress and particle size distribution: A theoretical model","year":2025,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; Natural Science Foundation of Hubei Province; Ministry of Natural Resources","keywords":"Permeability (electromagnetism); Particle-size distribution; Bearing (navigation); Geotechnical engineering; Particle size; Clathrate hydrate; Geology; Hydrate; Materials science; Environmental science; Chemistry; Geography; Cartography; Paleontology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003220307,0.0006367835,0.0008033032,0.0009379364,0.0007296723,0.001051037,0.001048872,0.001705995,0.001183155],"category_scores_gemma":[0.001503188,0.0005482579,0.0007450787,0.0006370258,0.001600371,0.001947057,0.0007865027,0.000547467,0.0001413833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235695,"about_ca_system_score_gemma":0.0009018467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01304419,"about_ca_topic_score_gemma":0.00436155,"domain_scores_codex":[0.9998678,0.00004501632,0.000006107817,0.00002680109,0.00002667159,0.00002763084],"domain_scores_gemma":[0.9995465,0.0002610758,0.00005398399,0.00002109522,0.00007934406,0.00003805394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002438825,0.00002725708,0.0006737272,0.00005298521,0.00001295445,0.0001934444,0.00004766434,0.962325,0.00199226,0.03315251,0.0002626076,0.001235182],"study_design_scores_gemma":[0.000003292895,0.000004386899,0.0001845064,0.000002300427,0.000003303599,0.00001340949,0.00001054174,0.9963451,0.0001421676,0.003221562,0.00006531704,0.000004166218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6817941,0.002413082,0.2662087,0.002388721,0.0002255574,0.00008082046,0.0003190973,0.0003596055,0.04621032],"genre_scores_gemma":[0.9919018,0.0005748534,0.002139266,0.00005881297,0.00005759122,0.00002452484,0.00003984497,0.00003386937,0.005169366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01304419,"threshold_uncertainty_score":0.02593648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004529049404456029,"score_gpt":0.2110621492814186,"score_spread":0.2065330998769626,"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."}}