{"id":"W2509942246","doi":"10.1007/978-1-4939-3801-8_4","title":"Studies on the Tumor Vasculature and Coagulant Microenvironment","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Montreal Children's Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Angiogenesis; Coagulation; Effector; Tumor microenvironment; Cancer research; In vivo; Biology; Mural cell; Bone marrow; Cancer; Endothelial stem cell; Computational biology; Cell biology; In vitro; Chemistry; Immunology; Tumor cells; Medicine; Biochemistry; Genetics; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005404667,0.0003512602,0.0002044794,0.0007705585,0.0003942169,0.0003441922,0.00034917,0.0003250002,0.00192453],"category_scores_gemma":[0.0005526967,0.0001435162,0.0002440894,0.0005424625,0.0005496712,0.0006997891,0.0003850005,0.0008364235,0.0003148567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003352702,"about_ca_system_score_gemma":0.0002586567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076323,"about_ca_topic_score_gemma":0.0006704135,"domain_scores_codex":[0.9998146,0.00006301025,0.000008816378,0.00003340289,0.00003842926,0.00004180517],"domain_scores_gemma":[0.9996333,0.0001929112,0.00004393869,0.00003554213,0.00004585046,0.00004838061],"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":[0.0003446644,0.00008201481,0.0006791869,0.0001795163,0.00001277281,0.0003145514,0.0002162887,0.0001650827,0.9804794,0.004524589,0.0001832786,0.01281876],"study_design_scores_gemma":[0.00004775539,0.0008200107,0.008582008,0.00003654193,0.00006111829,0.002186205,0.0001309999,0.001053406,0.9601973,0.00214366,0.02472129,0.00001978367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8693488,0.04837519,0.04940268,0.0009031708,0.0001933502,0.000147622,0.0002964032,0.0001765742,0.0311562],"genre_scores_gemma":[0.9455458,0.0220065,0.01978338,0.0003063109,0.0002233431,0.0001620811,0.0004678217,0.0001248155,0.01137998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00192453,"threshold_uncertainty_score":0.006438255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753959607893743,"score_gpt":0.36787362752941,"score_spread":0.3403340314504726,"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."}}