{"id":"W4403139416","doi":"10.1007/978-3-031-73647-6_1","title":"Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Elastography; Wave speed; Shear (geology); Artificial intelligence; Ultrasound; Acoustics; Physics; Geology","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":[0.0004850423,0.0005888579,0.000956585,0.0006028728,0.0002271059,0.0008250118,0.001067973,0.001023249,0.001448081],"category_scores_gemma":[0.001802838,0.0006859662,0.0007748957,0.0007564902,0.0005761929,0.001036649,0.001029438,0.001026878,0.0009386333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003166838,"about_ca_system_score_gemma":0.0004792394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101975,"about_ca_topic_score_gemma":0.001856098,"domain_scores_codex":[0.9997684,0.00005914647,0.00001216137,0.00006382585,0.00007771077,0.00001875247],"domain_scores_gemma":[0.9993995,0.0003499946,0.0000638342,0.00007554712,0.00008582877,0.00002530128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001682397,0.0001024015,0.0008204537,0.0002344916,0.0001084188,0.00007104164,0.00008161682,0.4316208,0.05703984,0.01408389,0.004006792,0.4916619],"study_design_scores_gemma":[0.000003200827,0.00001587627,0.0003147361,0.000006401247,0.000006910852,0.00004860808,0.00000439363,0.9882857,0.004249503,0.00607156,0.0009852122,0.00000792404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006015613,0.000361822,0.9925938,0.00008326065,0.00003364451,0.000012895,0.00004129983,0.000342097,0.0005154463],"genre_scores_gemma":[0.2226868,0.001622592,0.764617,0.0001346426,0.0002515723,0.000092885,0.0005578343,0.0005109564,0.009525757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001448081,"threshold_uncertainty_score":0.004844368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456220857486405,"score_gpt":0.2471687251027204,"score_spread":0.2326065165278564,"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."}}