{"id":"W2085579416","doi":"10.1680/geot.14.p.174","title":"Laboratory-scale hydraulic pulse testing: influence of air fraction in cavity on estimation of permeability","year":2015,"lang":"en","type":"article","venue":"Géotechnique","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Permeability (electromagnetism); Porosity; Geotechnical engineering; Hydraulics; Mechanics; Porous medium; Transient (computer programming); Materials science; Environmental science; Geology; Engineering; Chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009217597,0.000096253,0.0001812548,0.0001718272,0.00002713028,0.000005035859,0.0001456726,0.0001154912,0.0000240317],"category_scores_gemma":[0.0006191058,0.00008942734,0.00002393512,0.0005179188,0.000138405,0.0002688922,0.00001013725,0.0002094938,0.00001055867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003622896,"about_ca_system_score_gemma":0.0001146459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560457,"about_ca_topic_score_gemma":0.0000989937,"domain_scores_codex":[0.9990347,0.0001254744,0.000283896,0.0001891967,0.0002351262,0.0001316033],"domain_scores_gemma":[0.9992356,0.0001306203,0.0001705606,0.0002589351,0.0001397969,0.00006452642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001790352,0.0001824982,0.8485278,0.0001176589,0.000003655822,0.000005210367,0.0004373065,0.07453304,0.005287033,0.0000765392,0.001396837,0.06925331],"study_design_scores_gemma":[0.0002021214,0.0006265649,0.6547741,0.0001688885,0.00000573537,0.000004926096,0.00009004462,0.08639631,0.2463866,0.01072318,0.0004438266,0.0001777963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936699,0.00001215725,0.003006505,0.0002339077,0.00003097034,0.0002160137,0.00002625874,0.0001342292,0.002670088],"genre_scores_gemma":[0.98838,0.00000381296,0.01124986,0.0003306692,0.000008869112,0.00000368187,0.00001585999,0.000002747384,0.000004528167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2410995,"threshold_uncertainty_score":0.9909506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914597595059921,"score_gpt":0.2460871414246626,"score_spread":0.2269411654740633,"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."}}