{"id":"W2037614721","doi":"10.4028/www.scientific.net/amm.438-439.135","title":"Research on the Correlation between Autoclam Permeability Test and Seepage Height Method","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Permeability (electromagnetism); Geotechnical engineering; Air permeability specific surface; Index (typography); Correlation; Test (biology); Mathematics; Geology; Materials science; Computer science; Geometry; Chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004775166,0.0005508523,0.0005864663,0.003106197,0.0002634683,0.0009379909,0.0008055269,0.0006316897,0.001418394],"category_scores_gemma":[0.01649454,0.0004587391,0.0006291373,0.003703783,0.0008123043,0.002006102,0.0005038735,0.0006637233,0.0008838265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218342,"about_ca_system_score_gemma":0.0009407327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002966795,"about_ca_topic_score_gemma":0.002812911,"domain_scores_codex":[0.993493,0.0015295,0.0004845715,0.001150923,0.00310649,0.0002354062],"domain_scores_gemma":[0.9751719,0.01326201,0.002018462,0.001211431,0.00805932,0.000276915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004058012,0.0002277364,0.831642,0.0005070445,0.0003017819,0.0004683809,0.0007239427,0.002979083,0.04005303,0.001281798,0.001127227,0.1202822],"study_design_scores_gemma":[0.00003598192,0.001595873,0.8621694,0.0001614113,0.0004798445,0.002545787,0.00132332,0.03239946,0.09075549,0.001271676,0.007120243,0.0001415504],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138713,0.006466667,0.06265258,0.0002697149,0.0002615254,0.0001631351,0.0006859212,0.0004147792,0.01521437],"genre_scores_gemma":[0.9850427,0.001924305,0.01048223,0.00007436157,0.00007593662,0.00005392555,0.0004166557,0.00003307854,0.001896694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004775166,"threshold_uncertainty_score":0.02525377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03638342554954177,"score_gpt":0.2847471657196249,"score_spread":0.2483637401700832,"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."}}