{"id":"W782386242","doi":"10.1007/978-1-4020-2402-3_43","title":"Characterization and Imaging of Thin, Highly Oriented Layers: Theory and Experiment","year":2004,"lang":"en","type":"book-chapter","venue":"Acoustical imaging","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Characterization (materials science); Nonlinear system; Anisotropy; Ultrasonic sensor; Interface (matter); Wavelength; Computer science; Acoustics; Theoretical physics; Optics; Materials science; Physics; Mechanics; Quantum mechanics; Bubble","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000195517,0.0002906381,0.0002956741,0.0001189843,0.00005694126,0.0000591494,0.00006183122,0.00008944842,0.00007214445],"category_scores_gemma":[0.00005646193,0.0002919974,0.00003794977,0.00002404143,0.0001662571,0.0001691695,0.00006568811,0.0002598168,0.000003978085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008328149,"about_ca_system_score_gemma":0.00002336991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003779303,"about_ca_topic_score_gemma":1.109118e-7,"domain_scores_codex":[0.9989721,0.0000117044,0.0003349918,0.0002812272,0.0001895227,0.000210436],"domain_scores_gemma":[0.9994497,0.0001279033,0.00008401242,0.0001620179,0.00008114549,0.00009527318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003116714,0.00002384786,0.00007590063,0.0006091069,0.0001161085,0.00004467934,0.0006406099,0.000635577,0.6834004,0.2796703,0.00004741748,0.03470485],"study_design_scores_gemma":[0.003065541,0.0001281405,0.001310817,0.004928909,0.001481638,0.0002477057,0.0005730706,0.7365478,0.07365247,0.1694814,0.005314633,0.003267943],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009157632,0.003348853,0.9650266,0.0001373927,0.0005005685,0.0004052953,0.0001094238,0.0002958174,0.02101844],"genre_scores_gemma":[0.9950725,0.0006493623,0.002538823,0.00009094834,0.0001372973,0.000007073872,0.0001076114,0.0001012408,0.001295181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9859148,"threshold_uncertainty_score":0.9999532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005021560915528374,"score_gpt":0.2017608512489466,"score_spread":0.1967392903334182,"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."}}