{"id":"W1971042025","doi":"10.1148/radiol.2363041293","title":"Functional CT for Quantifying Tumor Perfusion in Antiangiogenic Therapy in a Rat Model","year":2005,"lang":"en","type":"article","venue":"Radiology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Centre; Lawson Health Research Institute","funders":"National Cancer Institute","keywords":"Medicine; Perfusion; Antiangiogenic therapy; Perfusion scanning; Nuclear medicine; Radiology; Angiogenesis; 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":[0.0002759899,0.0001076217,0.00029547,0.0002369645,0.00002628063,0.000002942735,0.00005797979,0.00005911702,0.0002318936],"category_scores_gemma":[0.00004247518,0.00009633356,0.00009452167,0.0001551975,0.00004028016,0.00004710611,0.00001275337,0.0001345145,0.00001936716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097645,"about_ca_system_score_gemma":0.0001391552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004270289,"about_ca_topic_score_gemma":0.0002797441,"domain_scores_codex":[0.9990854,0.00004465943,0.0002439924,0.0002761577,0.00007390636,0.000275858],"domain_scores_gemma":[0.9995474,0.0001820954,0.00004230682,0.0001587232,0.00002565276,0.00004380168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003033467,0.0006968644,0.6925589,0.0000985814,0.00006095683,0.0001317678,0.0009111289,0.04485404,0.1400401,0.001648439,0.05977694,0.05618886],"study_design_scores_gemma":[0.02636579,0.001513372,0.1776517,0.000288421,0.00006362198,0.001458343,0.0001864337,0.7004126,0.03106458,0.0009693154,0.05939176,0.0006340142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885461,0.002883434,0.001147466,0.006521475,0.0002174358,0.0005170749,0.00000520226,0.00002403436,0.00013774],"genre_scores_gemma":[0.9923872,0.001518211,0.00327148,0.00209943,0.0003276215,0.0002145167,0.00002985687,0.00002081638,0.000130809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6555586,"threshold_uncertainty_score":0.3928369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08391404105578056,"score_gpt":0.3366365292975363,"score_spread":0.2527224882417558,"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."}}