{"id":"W2296591928","doi":"10.1007/s10456-016-9503-z","title":"The differential effects of metronomic gemcitabine and antiangiogenic treatment in patient-derived xenografts of pancreatic cancer: treatment effects on metabolism, vascular function, cell proliferation, and tumor growth","year":2016,"lang":"en","type":"article","venue":"Angiogenesis","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of British Columbia; BC Cancer Agency","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Gemcitabine; Pancreatic cancer; Angiogenesis; Medicine; Cancer research; Cell growth; Differential effects; Oncology; Cancer; Internal medicine; Biology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002044215,0.0002119237,0.0003127601,0.0001101679,0.00009333629,0.000285751,0.0001321245,0.0002633224,0.0006744388],"category_scores_gemma":[0.000170537,0.0001071701,0.0001873244,0.0001610543,0.0001166085,0.0002250253,0.00008156458,0.0005054221,0.0001190432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016194,"about_ca_system_score_gemma":0.0001840959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003028619,"about_ca_topic_score_gemma":0.0005556573,"domain_scores_codex":[0.9998678,0.00003654649,0.00001342381,0.00002686466,0.00003140572,0.00002393219],"domain_scores_gemma":[0.9998809,0.00003503397,0.00002319573,0.00001843226,0.00001301692,0.00002943142],"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":[0.0008764642,0.0002452511,0.002269913,0.00005313565,0.00002905561,0.00009121733,0.00002964484,0.0003115671,0.9907783,0.00007853772,0.00008824997,0.005148552],"study_design_scores_gemma":[0.00007304386,0.004024984,0.01699458,0.000003723228,0.00005356084,0.000838596,0.00003162324,0.001433786,0.9748656,0.00001986976,0.001654731,0.000005898245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979519,0.0009525869,0.0005757317,0.00003189104,0.000009482806,0.00001561626,0.00008458351,0.00001496005,0.0003633268],"genre_scores_gemma":[0.9981821,0.0004092939,0.0008765511,0.00001958228,0.000004240357,0.00001881149,0.0002058477,0.000006144575,0.0002775211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006744388,"threshold_uncertainty_score":0.002256155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003533741655910526,"score_gpt":0.1963699026464239,"score_spread":0.1928361609905133,"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."}}