{"id":"W4249196968","doi":"10.1115/pvp2009-77205","title":"Correlation of Gaseous Mass Leak Rates Through Micro and Nano-Porous Gaskets","year":2009,"lang":"en","type":"article","venue":"Volume 2: Computer Applications/Technology and Bolted Joints","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Gasket; Porosity; Leak; Volumetric flow rate; Porous medium; Materials science; Mechanics; Isothermal process; Mass flow rate; Helium; Flow (mathematics); Composite material; Thermodynamics; Chemistry; Physics","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":[0.0006316819,0.0003170103,0.0003817191,0.0006741079,0.0001317428,0.0003301628,0.000424198,0.0003734435,0.0003937037],"category_scores_gemma":[0.002036192,0.0001890001,0.0002103264,0.0003894223,0.0004797294,0.001055694,0.000305385,0.0003240699,0.000126479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749536,"about_ca_system_score_gemma":0.0001441963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004297938,"about_ca_topic_score_gemma":0.0002752447,"domain_scores_codex":[0.9996846,0.00005204905,0.00002342752,0.0000772343,0.0001305358,0.00003222916],"domain_scores_gemma":[0.9986165,0.0007334043,0.0003096141,0.0001308005,0.0001810046,0.00002877008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001232016,0.0002511497,0.06026221,0.0003598111,0.0000589767,0.0003103339,0.0003376384,0.1747491,0.7115891,0.001509263,0.0001344779,0.04920588],"study_design_scores_gemma":[0.00001732099,0.0006116351,0.01828392,0.00001779826,0.00002343879,0.0002098922,0.0001338842,0.3627525,0.6169731,0.0005179837,0.0004180706,0.00004039942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662127,0.0002459473,0.03300756,0.00001059712,0.000005080734,0.00001333342,0.00008635234,0.0002225507,0.0001958319],"genre_scores_gemma":[0.9956923,0.00009826973,0.004025549,0.000001931731,0.000001200321,0.000009316569,0.00007123026,0.000009308771,0.00009095531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006741079,"threshold_uncertainty_score":0.003340662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004143956389977709,"score_gpt":0.1923351231973866,"score_spread":0.1881911668074089,"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."}}