{"id":"W2883186120","doi":"10.1093/gji/ggy305","title":"KG²B, a collaborative benchmarking exercise for estimating the permeability of the Grimsel granodiorite—Part 2: modelling, microstructures and complementary data","year":2018,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Commonwealth Scientific and Industrial Research Organisation; Natural Environment Research Council; Sight Research UK","keywords":"Permeability (electromagnetism); Microstructure; Poromechanics; Anisotropy; Materials science; Geology; Biological system; Computer science; Porosity; Composite material; Porous medium; Chemistry; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001929308,0.0001021075,0.0001263392,0.00001537532,0.0006219057,0.0001165376,0.0006378285,0.00001391297,0.0001343285],"category_scores_gemma":[0.000008600452,0.00006153635,0.00007161371,0.00008566756,0.0003039773,0.0001670373,0.0002480429,0.0001797724,0.000001096438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001640003,"about_ca_system_score_gemma":0.00005670344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101049,"about_ca_topic_score_gemma":0.000008681277,"domain_scores_codex":[0.9991885,0.00002934152,0.0002636407,0.0001903159,0.0001926678,0.0001354772],"domain_scores_gemma":[0.9990603,0.0001206765,0.0002411875,0.0002685224,0.0002708212,0.00003853142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001543867,0.002827852,0.1324387,0.000155989,0.003372542,0.000001596131,0.01820039,0.01820272,0.09135713,0.4198613,0.081819,0.230219],"study_design_scores_gemma":[0.001261324,0.0001299751,0.01549811,0.0001933145,0.0002149213,0.0000102708,0.0009843034,0.6912872,0.01235613,0.2663748,0.01140625,0.0002833651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8125268,0.00003776296,0.1820544,0.002022156,0.0008485411,0.0004349375,0.001663308,0.000006351574,0.0004057084],"genre_scores_gemma":[0.9785643,0.000002184638,0.01866176,0.00006406121,0.002557526,0.00001494008,0.00009736144,0.000007414038,0.00003050867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6730846,"threshold_uncertainty_score":0.4783258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565256988877546,"score_gpt":0.355891038886981,"score_spread":0.3302384689982056,"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."}}