{"id":"W3197133949","doi":"10.3390/cancers13174444","title":"Normalizing Tumor Vasculature to Reduce Hypoxia, Enhance Perfusion, and Optimize Therapy Uptake","year":2021,"lang":"en","type":"review","venue":"Cancers","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Angiogenesis; Hypoxia (environmental); Cancer research; Tumor microenvironment; Tumor hypoxia; Medicine; Metastasis; Lymphatic system; Immunotherapy; Carcinogenesis; Pathology; Immunology; Immune system; Cancer; Radiation therapy; Tumor cells; Internal medicine; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042271,0.0008786124,0.00131894,0.002261779,0.0002230205,0.0008907838,0.0008929558,0.00118783,0.003395784],"category_scores_gemma":[0.0005839348,0.0003024672,0.0005787718,0.001441368,0.0004197377,0.001036854,0.0005182232,0.002346452,0.002069844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006962874,"about_ca_system_score_gemma":0.0006171427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007301356,"about_ca_topic_score_gemma":0.001343741,"domain_scores_codex":[0.9998448,0.00002266284,0.00001751063,0.00002674038,0.00006781151,0.00002046792],"domain_scores_gemma":[0.9998099,0.00008402117,0.00002769733,0.000007125478,0.00005037899,0.00002085324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001118951,0.0001587348,0.0001762651,0.01259267,0.00009270661,0.0002511862,0.0000417035,0.0005740669,0.005863154,0.005318796,0.02681704,0.9480018],"study_design_scores_gemma":[0.00002978214,0.0001462245,0.0006808399,0.001700124,0.00009253935,0.001557391,0.00002765338,0.000157934,0.00236037,0.001929896,0.9912963,0.00002103574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002569428,0.9971317,0.0003536983,0.0002671319,0.0002943938,0.00001053259,0.00002607476,0.00001756788,0.001641867],"genre_scores_gemma":[0.001212579,0.9969484,0.0003389842,0.0002040755,0.0001194108,0.00001463192,0.0000455975,0.000004135022,0.001112218],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003395784,"threshold_uncertainty_score":0.01136005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841079800870965,"score_gpt":0.3229959157344465,"score_spread":0.2945851177257369,"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."}}