{"id":"W1565963038","doi":"10.32920/ryerson.14638620","title":"Parametric Analysis of Ultrasound Backscatter Signals for Monitoring Cancer Cell Structural Changes During Cancer Treatment","year":2021,"lang":"en","type":"article","venue":"","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Backscatter (email); Ultrasound; Parametric statistics; Reflection (computer programming); Acoustics; SIGNAL (programming language); Reflection coefficient; Signal processing; Materials science; Biomedical engineering; Optics; Computer science; Mathematics; Medicine; Statistics; Physics; Digital signal processing; Telecommunications","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":[0.0005661408,0.0003075747,0.000333193,0.0007730302,0.00007567183,0.0003294805,0.000153947,0.0003025009,0.0005594997],"category_scores_gemma":[0.001604476,0.00009836224,0.0002242164,0.0005343304,0.0001688088,0.0002631964,0.000180124,0.0002642487,0.0001724944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009364101,"about_ca_system_score_gemma":0.000132743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002770263,"about_ca_topic_score_gemma":0.0003670867,"domain_scores_codex":[0.9996769,0.00008971082,0.00002092325,0.00004787708,0.0001333565,0.00003112345],"domain_scores_gemma":[0.9993744,0.0003119474,0.00009833597,0.00005711629,0.0001363614,0.00002185724],"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":[0.0005627286,0.00009968568,0.01268451,0.0001491609,0.00004692169,0.0001283481,0.0001171175,0.01350234,0.7937926,0.0002417558,0.0002098629,0.1784649],"study_design_scores_gemma":[0.00001744815,0.001086967,0.07326856,0.00002564152,0.0001720734,0.00111105,0.0001883542,0.2918653,0.630252,0.0005360974,0.001414645,0.0000618773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7867559,0.00108767,0.2102661,0.00007387067,0.00002051283,0.00004257509,0.00021677,0.0004732655,0.001063293],"genre_scores_gemma":[0.9647026,0.000419959,0.0342321,0.00001423775,0.00001073713,0.00002945225,0.0001619602,0.00002467021,0.00040434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007730302,"threshold_uncertainty_score":0.002994061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227881076869593,"score_gpt":0.3144361641968728,"score_spread":0.2916480565099135,"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."}}