{"id":"W1988613220","doi":"10.1117/12.2007140","title":"Adaptive sound speed correction for abdominal ultrasonography: preliminary results","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Knowledge Economy","keywords":"Speed of sound; Imaging phantom; Acoustics; Region of interest; Transducer; Computer science; Image quality; Beamforming; Image resolution; Computer vision; Image (mathematics); Physics; Optics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079919,0.0007410389,0.0004339172,0.0006083951,0.0002246206,0.0004335214,0.0005456624,0.0005671186,0.001915028],"category_scores_gemma":[0.002924391,0.0002417879,0.0003708977,0.0007776357,0.0003586476,0.0005286965,0.0004623673,0.0004239454,0.0004849952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002195766,"about_ca_system_score_gemma":0.0005119589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327986,"about_ca_topic_score_gemma":0.001864579,"domain_scores_codex":[0.9994481,0.0001548213,0.00002580943,0.00007535442,0.0002631424,0.00003261516],"domain_scores_gemma":[0.9982806,0.0007679475,0.00009037852,0.0001492558,0.0006467226,0.00006517069],"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":[0.001380549,0.0008048598,0.007248348,0.0009219204,0.0001751286,0.0004375692,0.0005074084,0.02546891,0.4440073,0.001256714,0.001948689,0.5158426],"study_design_scores_gemma":[0.000302779,0.005592034,0.0212936,0.0001497363,0.000519652,0.001187822,0.0003921427,0.3279233,0.6098741,0.0009349448,0.03156062,0.0002693273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3852977,0.00490372,0.6016515,0.0004438176,0.0001926443,0.0005903163,0.000274097,0.001947889,0.004698336],"genre_scores_gemma":[0.4953887,0.005067782,0.4928595,0.000218512,0.0001587162,0.0002517462,0.0007397612,0.0003355794,0.00497965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003327986,"threshold_uncertainty_score":0.006617248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196382628993951,"score_gpt":0.2333997298631382,"score_spread":0.2214359035731987,"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."}}