{"id":"W2043135396","doi":"10.1023/b:tipm.0000003660.22558.8f","title":"Time-Dependent Diffusion and Surface-Enhanced Relaxation in Stochastic Replicas of Porous Rock","year":2003,"lang":"en","type":"article","venue":"Transport in Porous Media","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tortuosity; Porous medium; Petrophysics; Permeability (electromagnetism); Materials science; Porosity; Continuous-time random walk; Characterisation of pore space in soil; Diffusion; Relaxation (psychology); Autocorrelation; Anomalous diffusion; Random walk; Thermodynamics; Chemistry; Physics; Mathematics; Composite material; Statistics; Computer science","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":[0.0001798567,0.0001391523,0.0002579115,0.00006264402,0.00003248918,0.000004010367,0.00007756538,0.00005798923,0.0002557087],"category_scores_gemma":[0.000007080401,0.000141983,0.00002988654,0.0002050667,0.00003463896,0.00007405849,0.000005580077,0.0001760258,0.00001513472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002773322,"about_ca_system_score_gemma":0.00005292711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965448,"about_ca_topic_score_gemma":0.000227512,"domain_scores_codex":[0.9989063,0.00002714503,0.000411383,0.0002866756,0.000157084,0.0002114567],"domain_scores_gemma":[0.9994755,0.00006985297,0.0001410196,0.0002291646,0.00002235234,0.0000621176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004180149,0.00388,0.3896505,0.0001171832,0.00008699965,0.00003092828,0.02023457,0.05058635,0.4864612,0.04078951,0.00007585402,0.007668919],"study_design_scores_gemma":[0.01494876,0.000558912,0.4827968,0.0007453067,0.0002785181,0.00002258641,0.005554445,0.005712629,0.4281899,0.05859179,0.0002298179,0.0023705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869667,0.00008222364,0.009707911,0.00003704286,0.00004178392,0.0003397629,0.00002982178,0.00001788977,0.002776911],"genre_scores_gemma":[0.9993358,0.00001537655,0.0002802215,0.000008107012,0.00002169858,0.00003495994,0.00007019357,0.00001764989,0.0002160218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09314634,"threshold_uncertainty_score":0.57899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00702723031555035,"score_gpt":0.2610627454532242,"score_spread":0.2540355151376738,"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."}}