{"id":"W4397023505","doi":"10.1371/journal.pmed.1004408","title":"Radiation enhancement using focussed ultrasound-stimulated microbubbles for breast cancer: A Phase 1 clinical trial","year":2024,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":27,"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 Research Institute; Sunnybrook Research Institute; Varian Medical Systems","keywords":"Medicine; Microbubbles; Common Terminology Criteria for Adverse Events; Radiation therapy; Breast cancer; Clinical trial; Magnetic resonance imaging; Radiology; Adverse effect; Cancer; Oncology; Ultrasound; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002194102,0.0001602821,0.0002918219,0.00009055807,0.00007412452,0.00002932126,0.00009371538,0.00009365453,0.0004560948],"category_scores_gemma":[0.00006968948,0.0001295207,0.00008275735,0.0002281499,0.00005882545,0.00007766582,0.000004454331,0.0001411716,0.00001681792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144407,"about_ca_system_score_gemma":0.00006533486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003297943,"about_ca_topic_score_gemma":0.000007556576,"domain_scores_codex":[0.9989028,0.00001929658,0.0004829175,0.0002384199,0.0001375358,0.0002190516],"domain_scores_gemma":[0.9991165,0.0005287714,0.00003641563,0.000164438,0.00005188858,0.0001020164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001311127,0.000367275,0.00004944079,0.0003096728,0.0005895933,0.00000272771,0.0005359456,0.001439702,0.9109154,0.0001636176,0.006348839,0.07796665],"study_design_scores_gemma":[0.09570438,0.001089858,0.0001787144,0.001391297,0.00196797,0.00005760471,0.0001463014,0.7746544,0.03031543,0.0006175821,0.09307971,0.0007967635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320297,0.004791319,0.0578084,0.001171012,0.001672713,0.001518248,0.0003190859,0.0005310743,0.0001584131],"genre_scores_gemma":[0.9946154,0.001131789,0.000868532,0.0001132932,0.002697566,0.000265933,0.0001537316,0.00005626642,0.00009745159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8806,"threshold_uncertainty_score":0.5281703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07269895975631857,"score_gpt":0.3856275839287195,"score_spread":0.3129286241724009,"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."}}