{"id":"W4306750185","doi":"10.32920/21290943","title":"Conventional Frequency Ultrasonic Biomarkers of Cancer Treatment Response In Vivo","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Terry Fox Foundation; Cancer Care Ontario","keywords":"Ultrasound; In vivo; Medicine; Cancer; Parametric statistics; Biomarker; Ex vivo; Nuclear medicine; Internal medicine; Chemistry; Biology; Radiology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003678834,0.0002434382,0.000121103,0.0003206102,0.00005927408,0.0001634038,0.0001594104,0.0003765641,0.001581837],"category_scores_gemma":[0.0004917586,0.0001172605,0.00008005861,0.0001791067,0.0002375492,0.0002693718,0.0001350261,0.0002971474,0.0003076691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848513,"about_ca_system_score_gemma":0.00009264198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000346017,"about_ca_topic_score_gemma":0.0004708457,"domain_scores_codex":[0.9998462,0.00003417035,0.000008807767,0.00003390304,0.00006143211,0.00001544267],"domain_scores_gemma":[0.9997128,0.0001113602,0.00008214656,0.00002097683,0.00005294053,0.00001986959],"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":[0.00009277884,0.00002145225,0.0004485398,0.00001873749,0.000002414956,0.000006725415,0.000009617621,0.0001127315,0.9968984,0.00003017035,0.00004009387,0.002318301],"study_design_scores_gemma":[0.00001135199,0.0007448568,0.0149287,0.000005463515,0.00001644686,0.00009386794,0.00004425436,0.00290569,0.9803741,0.0000656731,0.00080413,0.000005535835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613309,0.001298033,0.03462976,0.0001326129,0.00003280172,0.00006206616,0.0003070133,0.0001979869,0.00200886],"genre_scores_gemma":[0.9805492,0.0006281681,0.01397433,0.0001270136,0.00002048798,0.0001070035,0.0004399298,0.00003630672,0.004117573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001581837,"threshold_uncertainty_score":0.00529182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695355933816154,"score_gpt":0.2706679414006626,"score_spread":0.2537143820625011,"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."}}