{"id":"W1971640853","doi":"10.1007/s10456-011-9233-1","title":"Monitoring antivascular therapy in head and neck cancer xenografts using contrast-enhanced MR and US imaging","year":2011,"lang":"en","type":"article","venue":"Angiogenesis","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"FujiFilm VisualSonics (Canada)","funders":"National Cancer Institute; Roswell Park Cancer Institute","keywords":"Medicine; Magnetic resonance imaging; Head and neck cancer; Blood volume; Necrosis; Blood flow; Radiation therapy; Cancer; Angiogenesis; Head and neck squamous-cell carcinoma; Nuclear medicine; Pathology; Radiology; Internal medicine","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":[0.00004140457,0.0001273005,0.0001470108,0.00007955763,0.0000687181,0.00002526986,0.00005103043,0.00003870675,0.0000158927],"category_scores_gemma":[0.00000187664,0.0001270877,0.00003806328,0.0001563313,0.00003198463,0.0001202514,0.00001078248,0.00004003068,0.000001201979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002129776,"about_ca_system_score_gemma":0.000007278228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369316,"about_ca_topic_score_gemma":0.00008801104,"domain_scores_codex":[0.999449,0.00001004533,0.0001165952,0.0001633229,0.00005313016,0.0002079198],"domain_scores_gemma":[0.9997796,0.00001727221,0.00001498304,0.0001165904,0.00001835241,0.00005319134],"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":[0.00000560414,0.00001669533,0.4634203,0.00001388007,0.0000569046,0.000002760474,0.0009443763,0.0001505095,0.4920893,0.000008189869,0.000001700837,0.04328976],"study_design_scores_gemma":[0.00065703,0.00001040064,0.7628543,0.00009358695,0.00003399239,0.000009119629,0.0001574239,0.00179927,0.233581,0.00005256408,0.0004839919,0.0002672831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978457,0.02033443,0.0007602628,0.000009500407,0.00008006517,0.0001374255,0.000004563964,0.00007952517,0.0001372736],"genre_scores_gemma":[0.9926125,0.005922143,0.001276294,0.00002012547,0.00008735707,0.00004491843,7.652627e-7,0.00003237278,0.000003549955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2994341,"threshold_uncertainty_score":0.5182484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611333872768746,"score_gpt":0.2470460217618336,"score_spread":0.2209326830341461,"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."}}