{"id":"W2151507988","doi":"10.1016/j.ultrasmedbio.2011.04.001","title":"Improved Flow Measurement Using Microbubble Contrast Agents and Disruption-Replenishment: Clinical Application to Tumour Monitoring","year":2011,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Reproducibility; Perfusion; Contrast-enhanced ultrasound; Blood flow; Biomedical engineering; Log-normal distribution; Microcirculation; Medicine; Ultrasound; Nuclear medicine; Radiology; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006457182,0.0002079222,0.0003547391,0.0001189406,0.00008138658,0.00001063117,0.0001692739,0.0001308864,0.00005294464],"category_scores_gemma":[0.0002022445,0.0001838168,0.00003647989,0.0001919085,0.0001362276,0.00006193449,0.00002188823,0.0002393471,0.00001580739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218354,"about_ca_system_score_gemma":0.0000202209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003192103,"about_ca_topic_score_gemma":0.0001160821,"domain_scores_codex":[0.9985522,0.00005626087,0.0005768986,0.0003719204,0.00009967112,0.0003430748],"domain_scores_gemma":[0.9992663,0.000162122,0.00006175057,0.0002612776,0.00007572443,0.0001728235],"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":[0.00002371389,0.00008936392,0.1020571,0.0000276923,0.00005455433,8.00833e-7,0.001182389,0.0001066624,0.8727028,0.0001094281,0.0001450605,0.02350041],"study_design_scores_gemma":[0.006351529,0.001058111,0.8853587,0.0005041126,0.0003799,0.0001529545,0.002188647,0.02560709,0.02470232,0.002423965,0.04956767,0.001705046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348173,0.0007856172,0.06227254,0.00009826497,0.000545139,0.000663316,0.0000160595,0.0001343537,0.0006674576],"genre_scores_gemma":[0.9909863,0.0005720596,0.007693825,0.0001438106,0.000413136,0.000128756,0.00002555805,0.00003029807,0.000006284071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8480005,"threshold_uncertainty_score":0.7495831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07169780348845455,"score_gpt":0.3190408342249517,"score_spread":0.2473430307364972,"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."}}