{"id":"W2082580515","doi":"10.1139/t99-121","title":"Compressibility effect in evaluating the pore-size distribution of kaolin clay using mercury intrusion porosimetry","year":2000,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nature","keywords":"Porosimetry; Mercury intrusion porosimetry; Porosity; Compressibility; Mineralogy; Mercury (programming language); Intrusion; Materials science; Geotechnical engineering; Composite material; Geology; Porous medium; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001210109,0.0001474291,0.0002394259,0.0000632595,0.0001517099,0.00003981758,0.000243669,0.0002269208,0.000291764],"category_scores_gemma":[0.0003085375,0.0001084969,0.00009864506,0.0004411974,0.00008394211,0.0001019159,0.00001339593,0.001043049,0.000004245043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005335163,"about_ca_system_score_gemma":0.0001775531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006786106,"about_ca_topic_score_gemma":0.0009681329,"domain_scores_codex":[0.9985908,0.0001960991,0.0004642794,0.0001312288,0.0002303211,0.0003872975],"domain_scores_gemma":[0.9991683,0.0002341936,0.00005481664,0.0002257394,0.00004983773,0.0002670491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001461619,0.00002885219,0.002978164,0.00005494512,0.00004616949,0.0001227048,0.0001343353,0.7062171,0.01969767,0.00002180347,0.0007388623,0.2698133],"study_design_scores_gemma":[0.00070275,0.0001695811,0.07104073,0.0002911764,0.00005197327,0.0002755252,0.0000249767,0.9229161,0.003203258,0.0005544741,0.0005154792,0.0002539686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983356,0.000552965,0.0004285669,0.0001291398,0.00020265,0.0001517442,0.0000313116,0.00003584883,0.0001321447],"genre_scores_gemma":[0.9996204,0.0000368056,0.000119049,0.00006107488,0.000125008,0.000002357229,0.00001378139,0.00001611931,0.000005360275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2695593,"threshold_uncertainty_score":0.9998278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376806783593407,"score_gpt":0.2617036290557955,"score_spread":0.2479355612198615,"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."}}