{"id":"W120810608","doi":"10.1007/0-306-47108-6_24","title":"Ultrasound Imaging of Human Teeth Using a Desktop Scanning Acoustic Microscope","year":2006,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Scanning acoustic microscope; Ultrasound; Microscope; Materials science; Biomedical engineering; Acoustics; Acoustic microscopy; Microscopy; Optics; Medicine; 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":[0.0001978553,0.000222158,0.0002325152,0.0005379323,0.0001629928,0.0003106733,0.0004802716,0.0003199193,0.01089903],"category_scores_gemma":[0.000251337,0.0001667197,0.0001954027,0.0003611803,0.0001820964,0.0003436268,0.0004218742,0.00027049,0.002966963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915947,"about_ca_system_score_gemma":0.0002365678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006329794,"about_ca_topic_score_gemma":0.001211039,"domain_scores_codex":[0.9998868,0.000009746886,0.000005221139,0.00002408013,0.00006680949,0.000007304245],"domain_scores_gemma":[0.9998538,0.00007737567,0.000007306652,0.00001759153,0.00002528634,0.00001862953],"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":[0.00007081583,0.00002862171,0.0004642435,0.000163484,0.000006840445,0.0002004357,0.00008464801,0.0003153457,0.8900663,0.0005968121,0.001004249,0.1069983],"study_design_scores_gemma":[0.00007645388,0.002096775,0.04042005,0.0002456256,0.0001137157,0.02597105,0.0004846119,0.01606109,0.7325553,0.004069454,0.1778066,0.00009934144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5020001,0.0222101,0.3413151,0.0007550462,0.0003114774,0.0003984506,0.001160428,0.003785136,0.1280642],"genre_scores_gemma":[0.407093,0.01397106,0.4652224,0.0003533684,0.0001593108,0.0001716391,0.0006992634,0.0002008744,0.112129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089903,"threshold_uncertainty_score":0.03646094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191819891540818,"score_gpt":0.2823798510674929,"score_spread":0.2604616521520847,"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."}}