{"id":"W4299378830","doi":"10.17615/bbd2-qm16","title":"Broad targeting of angiogenesis for cancer prevention and therapy","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United Arab Emirates University; Associazione Italiana per la Ricerca sul Cancro; University of Glasgow; Karolinska Institutet; Università degli Studi di Firenze; Cancer Research UK; Svenska Sällskapet för Medicinsk Forskning; Linköpings Universitet; Eisai; National Institutes of Health; Terry Fox Foundation; National Heart, Lung, and Blood Institute; Vetenskapsrådet","keywords":"Angiogenesis; Cancer therapy; Cancer; Medicine; Cancer prevention; Oncology; Cancer research; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003419926,0.00007203739,0.00009756174,0.000009281258,0.000041856,0.00001435245,0.00005985114,0.00005753059,0.00003188496],"category_scores_gemma":[0.0000217686,0.00006213254,0.00008037996,0.0000429663,0.00004975609,0.000006996939,0.00003677205,0.00001000637,2.0932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001154231,"about_ca_system_score_gemma":0.00005464164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001044881,"about_ca_topic_score_gemma":0.000002150394,"domain_scores_codex":[0.9995891,0.00001347137,0.0001081903,0.0001608084,0.00004027336,0.00008811965],"domain_scores_gemma":[0.9998019,0.000008816251,0.00005813549,0.00006102477,0.00003470608,0.00003536377],"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":[0.0003684609,0.0000239453,0.02348323,0.00008875009,0.0001572562,1.417691e-7,0.0002581151,0.00003154595,0.9151577,0.002815876,0.0139504,0.04366455],"study_design_scores_gemma":[0.0003932274,0.0002632218,0.001295973,0.000009086034,0.00001574132,1.926805e-7,0.00008738666,0.00005290894,0.862361,0.0008378197,0.1345826,0.0001008778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984859,0.09227255,0.007424833,0.001197435,0.00009186484,0.0002732226,0.00007812715,0.00001482484,0.0001612448],"genre_scores_gemma":[0.983531,0.002504365,0.01185366,0.0009579829,0.000584134,0.00007709926,0.00009962556,0.00002736429,0.0003647493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206322,"threshold_uncertainty_score":0.2533691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579476558903061,"score_gpt":0.2678984805367272,"score_spread":0.2421037149476966,"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."}}