{"id":"W2302514230","doi":"10.1149/ma2013-01/8/465","title":"Understanding Invasion Mechanisms in Fibrous Gas Diffusion Media: Direct Comparison of Simulations with Tomographic Visualization","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Visualization; Diffusion; Tomographic reconstruction; Computed tomographic; Computer science; Tomography; Physics; Optics; Computed tomography; Artificial intelligence; Medicine; Radiology; Thermodynamics","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":[0.0003735085,0.0006866693,0.0004427379,0.0005349204,0.000529612,0.001042141,0.0007454278,0.001264287,0.004542466],"category_scores_gemma":[0.002348421,0.0002908552,0.000404694,0.0004923492,0.0005182756,0.001087042,0.0004704031,0.0005935328,0.0003468858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005348442,"about_ca_system_score_gemma":0.0007512967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102544,"about_ca_topic_score_gemma":0.00505695,"domain_scores_codex":[0.999887,0.0000251281,0.000006210147,0.00001572988,0.00003885886,0.0000271358],"domain_scores_gemma":[0.999207,0.0005164149,0.00007199598,0.00005580464,0.00009939235,0.00004959724],"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":[0.0001988871,0.0001879443,0.003142715,0.0001901762,0.00003942443,0.0002384605,0.0002492378,0.948858,0.03293086,0.004328719,0.0008548802,0.008780699],"study_design_scores_gemma":[0.00001962011,0.00002930327,0.0004899451,0.000006612483,0.000005184414,0.00002753581,0.00003664338,0.9950546,0.003456588,0.0005466532,0.0003184724,0.000008824791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8598192,0.001143331,0.1047455,0.001365786,0.0001344804,0.0002833832,0.001626354,0.001544282,0.02933772],"genre_scores_gemma":[0.9779943,0.0003826859,0.01997593,0.00006096264,0.00002278155,0.00006014774,0.0002407183,0.0001373005,0.001125248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01102544,"threshold_uncertainty_score":0.02192259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346034316706248,"score_gpt":0.2502123459546869,"score_spread":0.2156089142840621,"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."}}