{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277455,0.0006258675,0.0003233243,0.0003497061,0.0001546774,0.0004024872,0.000292545,0.0005103608,0.00118945],"category_scores_gemma":[0.0001528884,0.0002602676,0.000411083,0.0001590901,0.0002783622,0.0003248134,0.0002477581,0.0004636344,0.000602066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004378517,"about_ca_system_score_gemma":0.0002046784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008695982,"about_ca_topic_score_gemma":0.00176573,"domain_scores_codex":[0.9997531,0.00003610272,0.00002974136,0.00006023807,0.0000809234,0.00003992276],"domain_scores_gemma":[0.9997805,0.00006739789,0.00006493818,0.00003688446,0.00002134432,0.00002900196],"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":[0.00001312085,0.00001230389,0.00002790407,0.00003329507,0.000002541251,0.00003407622,0.00001182812,0.0002677566,0.9989766,0.00007503818,0.00003414024,0.0005115556],"study_design_scores_gemma":[0.000003093133,0.00005306868,0.000226259,0.000002901272,0.000004420271,0.00003668735,0.000003702585,0.001215091,0.9975663,0.00001395915,0.0008718561,0.000002696248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.899278,0.0031182,0.08501779,0.0002134922,0.0001464949,0.0003617398,0.002447711,0.001444544,0.007972017],"genre_scores_gemma":[0.9557453,0.001405432,0.03682965,0.00009044317,0.00001866627,0.0002666354,0.0008818909,0.0001857394,0.004576236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00118945,"threshold_uncertainty_score":0.003979087,"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."}}