{"id":"W2158453396","doi":"10.1158/1535-7163.mct-05-0066","title":"Modulation of intratumoral hypoxia by the epidermal growth factor receptor inhibitor gefitinib detected using small animal PET imaging","year":2005,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Health and Medical Research Council; Medical Research Council; University of Alberta","keywords":"Gefitinib; Epidermal growth factor receptor; Tumor hypoxia; In vivo; Cancer research; Epidermal growth factor; Hypoxia (environmental); A431 cells; Medicine; Pharmacology; Chemistry; Pathology; Cancer; Internal medicine; Biology; Radiation therapy; Receptor; Cell cycle; Oxygen; Molecular 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001643189,0.0003071103,0.0002591307,0.00004042824,0.0001268312,0.0000462641,0.0002873625,0.0001141328,0.00003673858],"category_scores_gemma":[0.00002549442,0.0002687836,0.0001852469,0.0001749919,0.0001675806,0.00001468221,0.00009144093,0.0002212306,0.000001848178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006646889,"about_ca_system_score_gemma":0.0001532767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001557178,"about_ca_topic_score_gemma":0.00004851799,"domain_scores_codex":[0.9983141,0.0001773718,0.0004035458,0.0004221371,0.0002481854,0.0004346564],"domain_scores_gemma":[0.9990158,0.00001566442,0.0002512484,0.0003823403,0.0002447663,0.00009015923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001976324,0.00005275519,0.0005281667,0.00001970582,0.0001126594,8.187392e-7,0.0001174594,0.0002933235,0.96331,0.00002268108,0.0002271238,0.03511765],"study_design_scores_gemma":[0.0009316758,0.0001070268,0.001723716,0.00002292247,0.0001152118,0.00002665719,0.00005172027,0.004064142,0.95641,0.000018259,0.03617655,0.0003521537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799379,0.01271297,0.005617707,0.0005625443,0.000591321,0.0003289517,0.0001936618,0.00002465533,0.00003032984],"genre_scores_gemma":[0.9943969,0.0007541634,0.001937751,0.001249561,0.001420552,0.00003330798,0.00008740108,0.00007496966,0.00004535641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03594942,"threshold_uncertainty_score":0.9999765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003439689646641,"score_gpt":0.2636662241664722,"score_spread":0.2436318272700058,"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."}}