{"id":"W2810135019","doi":"10.3791/57826","title":"Bioprintable Alginate/Gelatin Hydrogel 3D <em>In Vitro</em> Model Systems Induce Cell Spheroid Formation","year":2018,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; China Scholarship Council; Consejo Nacional de Ciencia y Tecnología; McGill University","keywords":"Spheroid; Gelatin; Self-healing hydrogels; Tumor microenvironment; 3D cell culture; 3D bioprinting; Cell culture; Cancer cell; Biocompatibility; Cell biology; Cancer-Associated Fibroblasts; Stromal cell; Cell; Materials science; Stroma; Chemistry; Biomedical engineering; Nanotechnology; Tissue engineering; Cancer; Biology; Cancer research; Immunology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001668638,0.0003476076,0.0006093316,0.0005385691,0.0001152363,0.0001960013,0.0006497767,0.0003003539,0.0002322845],"category_scores_gemma":[0.0001698866,0.0003255537,0.0001467786,0.0005559187,0.00008728269,0.0007228762,0.0001867744,0.0006152021,0.0002960953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006865968,"about_ca_system_score_gemma":0.0001116378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000211247,"about_ca_topic_score_gemma":0.000001835214,"domain_scores_codex":[0.9960353,0.0001474353,0.001346514,0.0002561771,0.001428411,0.0007861919],"domain_scores_gemma":[0.9984191,0.00009926997,0.0003981807,0.000381268,0.00031479,0.0003874027],"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":[0.0001709153,0.0002361409,0.00002962885,0.0001629828,0.00007031387,0.00002621169,0.002210274,0.004597204,0.9893745,0.00005504766,0.00177635,0.001290496],"study_design_scores_gemma":[0.001781543,0.0001338569,0.00002670509,0.0002209156,0.00001075327,0.00003059935,0.0002988561,0.4151222,0.5803958,0.00006878922,0.001697302,0.0002126583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575149,0.001648578,0.03513604,0.00001707341,0.0008526163,0.0003683212,0.000006869505,0.00009603681,0.004359508],"genre_scores_gemma":[0.9871712,0.00009636233,0.01174453,0.00002652399,0.000291762,0.00002946617,0.000007697123,0.00008678145,0.0005456316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.410525,"threshold_uncertainty_score":0.9999197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930759777141087,"score_gpt":0.3541078811248982,"score_spread":0.3248002833534874,"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."}}