{"id":"W2069165271","doi":"10.1109/ultsym.2013.0467","title":"Quantitative functional assessment of tumour microenvironment using contrast enhanced ultrasound and photoacoustic imaging","year":2013,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; FujiFilm VisualSonics (Canada); Sunnybrook Hospital","funders":"","keywords":"In vivo; Ultrasound; Tumor microenvironment; Contrast-enhanced ultrasound; Angiogenesis; Perfusion; Hypoxia (environmental); Pathology; Photoacoustic imaging in biomedicine; Biomedical engineering; Cancer research; Medicine; Chemistry; Biology; Radiology; Oxygen; Tumor cells","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":[0.0001042245,0.0001879414,0.0002262137,0.00007471563,0.00007025299,0.00004456439,0.00005802564,0.00002615221,0.0006568732],"category_scores_gemma":[0.00002392127,0.000179718,0.00004030707,0.00007198106,0.0001285193,0.0002374697,0.00001961694,0.0001341188,0.000008110777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245042,"about_ca_system_score_gemma":0.00002736107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00012378,"about_ca_topic_score_gemma":0.000002474613,"domain_scores_codex":[0.9990369,0.00001804229,0.0002839702,0.0001959704,0.000174449,0.0002906396],"domain_scores_gemma":[0.9994635,0.000250656,0.00005313109,0.0001076097,0.00004228243,0.00008281007],"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":[0.000002483946,0.00002566266,0.001487353,0.00005414881,0.00004939844,0.00000110085,0.0001057871,0.02633175,0.9714549,0.0001565697,0.0001294168,0.0002014782],"study_design_scores_gemma":[0.0005616195,0.00002059836,0.06569352,0.0000644797,0.00006367918,0.00004738162,0.001793794,0.7749238,0.1564082,0.0001609175,0.000009510433,0.0002525318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5571547,0.0001841129,0.4406116,0.000006587473,0.0001102808,0.0001701254,0.00001158215,0.000048106,0.001702853],"genre_scores_gemma":[0.9759627,0.00005580152,0.02380085,0.0000534491,0.00002237074,0.00002310434,0.000007441692,0.00002851545,0.00004574545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8150467,"threshold_uncertainty_score":0.7328687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009486525024266963,"score_gpt":0.2280029218332991,"score_spread":0.2185163968090321,"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."}}