{"id":"W2889431912","doi":"10.1038/s41598-018-31502-6","title":"Tissue-engineered 3D melanoma model with blood and lymphatic capillaries for drug development","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé","keywords":"Melanoma; Lymphatic system; Extracellular matrix; Cancer research; Medicine; Pathology; Matrigel; Human skin; Tumor microenvironment; Biology; Angiogenesis; Cell biology; Tumor cells","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":[0.0001666591,0.0002903903,0.0001810141,0.000252691,0.0001096023,0.0002908086,0.0001998137,0.0003873899,0.0008218497],"category_scores_gemma":[0.00007661642,0.000176864,0.0004242462,0.0001190824,0.0001387458,0.0001959232,0.0001756335,0.0003640488,0.0002286148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165562,"about_ca_system_score_gemma":0.000201759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005762978,"about_ca_topic_score_gemma":0.0007982536,"domain_scores_codex":[0.9999305,0.00001195186,0.000004798072,0.00001302258,0.00002944627,0.00001025992],"domain_scores_gemma":[0.9999149,0.00002100297,0.00002496706,0.00001614413,0.000008874747,0.00001427606],"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":[0.00003447986,0.00006231522,0.0001897694,0.00006600437,0.000009222086,0.0002400525,0.00001597659,0.00209218,0.9941816,0.0003873824,0.000100855,0.002620192],"study_design_scores_gemma":[0.00002845184,0.0004751929,0.001646972,0.00001557216,0.00004559723,0.0009515226,0.00002047256,0.02024633,0.9684747,0.000263873,0.00781538,0.00001601348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8824294,0.003426103,0.1053262,0.000249195,0.0002083693,0.0002333626,0.0008025814,0.0006332946,0.006691521],"genre_scores_gemma":[0.9572442,0.001002245,0.03866707,0.00007272959,0.00001088548,0.000144805,0.0002724085,0.00003364247,0.002552092],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008218497,"threshold_uncertainty_score":0.002749383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259847471248769,"score_gpt":0.2409292284683835,"score_spread":0.2283307537558958,"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."}}