{"id":"W2799568385","doi":"10.4271/2018-01-1567","title":"A Case Study of a Full Inverse Poroelastic Characterization of an Open-Cell Porous Material Using an Impedance Tube: The Need to Properly Prepare the Material and to Control the Measurement","year":2018,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Poromechanics; Electrical impedance; Characterization (materials science); Porous medium; Tube (container); Porosity; Inverse; Acoustics; Materials science; Focused Impedance Measurement; Engineering; Physics; Composite material; Electrical engineering; Nanotechnology; Mathematics","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":[0.001073051,0.0006082023,0.0006569595,0.0006323893,0.0007721695,0.0009484473,0.001078191,0.002091243,0.001464487],"category_scores_gemma":[0.002482669,0.0003418824,0.0005445952,0.0004271725,0.001306925,0.001079285,0.001071806,0.0006541007,0.0004581954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003770526,"about_ca_system_score_gemma":0.0003611403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065903,"about_ca_topic_score_gemma":0.00164941,"domain_scores_codex":[0.9988742,0.0002605685,0.00006382327,0.0002051571,0.0005066602,0.00008956881],"domain_scores_gemma":[0.9978141,0.001321999,0.0001431553,0.0003250198,0.0002785501,0.0001170912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001803151,0.001168556,0.03804304,0.001716579,0.0001487277,0.05321768,0.005555213,0.1221251,0.6319836,0.007011363,0.001899713,0.1353273],"study_design_scores_gemma":[0.0001450976,0.003121261,0.02754349,0.0001685645,0.0001332401,0.02307221,0.004759117,0.2366295,0.6837012,0.00407967,0.01636735,0.0002794115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802972,0.0002289793,0.1153593,0.0003587847,0.00003964164,0.0002155358,0.0002935496,0.0003305665,0.002876297],"genre_scores_gemma":[0.9414851,0.0001279996,0.05631578,0.00004418736,0.00001305236,0.00008369053,0.00009863685,0.00005466458,0.001776894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002091243,"threshold_uncertainty_score":0.005674899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857528034231874,"score_gpt":0.26424570032928,"score_spread":0.2356704199869612,"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."}}