{"id":"W2591906943","doi":"10.1016/j.canlet.2017.02.027","title":"Resistance to metronomic chemotherapy and ways to overcome it","year":2017,"lang":"en","type":"review","venue":"Cancer Letters","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute on Minority Health and Health Disparities; National Institute of General Medical Sciences; National Cancer Institute","keywords":"Chemotherapy; Context (archaeology); Medicine; Cancer; Resistance (ecology); Drug resistance; Bioinformatics; Cancer research; Oncology; Intensive care medicine; Internal medicine; Biology","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":[0.0006616886,0.00057662,0.001041845,0.000932329,0.0002262376,0.001027165,0.0006378067,0.001366804,0.002426726],"category_scores_gemma":[0.0009691354,0.0001958673,0.0002637262,0.001004303,0.0006177812,0.001213731,0.0005227729,0.002732105,0.001212828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007255241,"about_ca_system_score_gemma":0.0008926892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007391287,"about_ca_topic_score_gemma":0.001860191,"domain_scores_codex":[0.9998266,0.00003198375,0.0000231418,0.00002814589,0.00006858448,0.0000215906],"domain_scores_gemma":[0.9997192,0.0001400186,0.000036826,0.000009942494,0.00006650381,0.00002746808],"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":[0.0001202331,0.00006326807,0.0002224962,0.005686697,0.00005614811,0.0002761515,0.00003922336,0.0004670584,0.002054398,0.008148137,0.09311337,0.8897529],"study_design_scores_gemma":[0.00002898579,0.00006643048,0.000392018,0.00113898,0.00005791717,0.000981626,0.00003393805,0.0001496817,0.0005716394,0.002808415,0.9937557,0.00001475486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001008633,0.9966862,0.0001660804,0.001703242,0.0005992456,0.000002686741,0.00001057208,0.000007705704,0.0007234765],"genre_scores_gemma":[0.001250445,0.9955409,0.0002132181,0.001119302,0.0008256392,0.000007804448,0.00002581703,0.000002261631,0.001014671],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002426726,"threshold_uncertainty_score":0.008118153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07122877963599807,"score_gpt":0.3679527493588789,"score_spread":0.2967239697228808,"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."}}