{"id":"W1480948843","doi":"10.1109/isbi.2015.7163862","title":"Quantitative ultrasound spectroscopy and a kernel-based metric in clinical cancer response monitoring","year":2015,"lang":"en","type":"article","venue":"","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Metric (unit); Kernel (algebra); Computer science; Artificial intelligence; Mathematics; Engineering; Discrete mathematics","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":[0.002791985,0.0004949251,0.000709758,0.001557267,0.0001928953,0.0006550577,0.0004897542,0.0006541574,0.0003679377],"category_scores_gemma":[0.007131027,0.0001717891,0.0003624657,0.001223523,0.0008264781,0.0008079123,0.0005669333,0.0005466635,0.000192427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000473203,"about_ca_system_score_gemma":0.0004979538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000877396,"about_ca_topic_score_gemma":0.0006214319,"domain_scores_codex":[0.997517,0.001222059,0.000160588,0.0003211967,0.0006877967,0.00009139562],"domain_scores_gemma":[0.9957528,0.002372626,0.0007283918,0.0003257073,0.0006571084,0.0001633956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001817456,0.0005230177,0.0365909,0.0006235066,0.0003071637,0.0003428196,0.0003809859,0.1430725,0.134833,0.01357942,0.00164794,0.6662813],"study_design_scores_gemma":[0.00003260255,0.001205461,0.02418079,0.00002439525,0.00008220853,0.0006925593,0.00009628462,0.9340517,0.03117264,0.005657718,0.002703715,0.0001000338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1426639,0.002588389,0.8517932,0.0003370861,0.00008307791,0.000114807,0.0001580536,0.000643187,0.001618339],"genre_scores_gemma":[0.8640076,0.0005017461,0.1346095,0.00007719097,0.00009106932,0.00009378175,0.0001522292,0.00003751229,0.0004293897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002791985,"threshold_uncertainty_score":0.01476562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06444627494421025,"score_gpt":0.4620959139989313,"score_spread":0.3976496390547211,"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."}}