{"id":"W2086906910","doi":"10.1155/2015/630461","title":"Behaviour of Endothelial Cells in a Tridimensional<i>In Vitro</i>Environment","year":2015,"lang":"en","type":"article","venue":"BioMed Research International","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTEO; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Angiogenesis; In vitro; Cell biology; Immunostaining; Proinflammatory cytokine; Matrix (chemical analysis); Vascular endothelial growth factor; Neovascularization; Extracellular matrix; Matrix metalloproteinase; Chemistry; Biology; Immunology; VEGF receptors; Cancer research; Inflammation; Biochemistry; Immunohistochemistry","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":[0.0002383485,0.0001422096,0.0001320198,0.0001572945,0.0002205794,0.0004275944,0.0001468606,0.000276347,0.0005922167],"category_scores_gemma":[0.0001844058,0.0001514736,0.0001637927,0.0001932051,0.0001501496,0.0001791019,0.0000998048,0.0002623604,0.0002353022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998903,"about_ca_system_score_gemma":0.0001259822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268657,"about_ca_topic_score_gemma":0.001698943,"domain_scores_codex":[0.9998123,0.00004432165,0.00001953636,0.00003480014,0.00005506216,0.00003393744],"domain_scores_gemma":[0.9997808,0.00006042167,0.00005392748,0.0000305166,0.00004497709,0.00002947341],"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":[0.00006865327,0.00003935941,0.000964733,0.00005074897,0.000009501797,0.0001416767,0.0001876963,0.0005930031,0.995962,0.0002406138,0.00008525414,0.001656776],"study_design_scores_gemma":[0.00001182485,0.0002810087,0.0115158,0.00001174972,0.0000257592,0.0003675623,0.0001620282,0.005307692,0.97897,0.0001132415,0.003210466,0.00002281139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905131,0.001379734,0.004780993,0.00006983653,0.00003500567,0.00001669084,0.0002265195,0.00004673188,0.002931542],"genre_scores_gemma":[0.9920323,0.0006240546,0.005619101,0.00007986101,0.000009802095,0.00003166244,0.0002789859,0.0000131864,0.001311079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001268657,"threshold_uncertainty_score":0.002522588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07102061603205313,"score_gpt":0.3456495578753551,"score_spread":0.274628941843302,"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."}}