{"id":"W4377691591","doi":"10.1088/1748-605x/acd830","title":"Bioprinted cancer-stromal in-vitro models in a decellularized ECM-based bioink exhibit progressive remodeling and maturation","year":2023,"lang":"en","type":"article","venue":"Biomedical Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Research in Immunology and Cancer; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Decellularization; Stromal cell; In vitro; Materials science; Cancer research; Biomedical engineering; Tissue remodeling; Scaffold; Cell biology; Medicine; Chemistry; Biology; Immunology; Inflammation; 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":[],"consensus_categories":[],"category_scores_codex":[0.001236448,0.0002223474,0.0004333254,0.0007460497,0.00003563793,0.00009577776,0.0002287835,0.000319245,0.0001183011],"category_scores_gemma":[0.0004733322,0.0001998473,0.0000317516,0.001043763,0.0002427636,0.0001260127,0.0001525362,0.0002448298,0.00003976375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075539,"about_ca_system_score_gemma":0.0001104429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431136,"about_ca_topic_score_gemma":0.000008516307,"domain_scores_codex":[0.9976042,0.0001350891,0.0006736263,0.0003961503,0.0005309735,0.0006599837],"domain_scores_gemma":[0.9992334,0.000213736,0.0000558562,0.000216485,0.00005223146,0.0002282721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001890147,0.00002775242,0.00002739433,0.0004692431,0.0000136553,0.0001253735,0.0001183095,0.0006910228,0.9887031,0.00003609206,0.00007180279,0.009527273],"study_design_scores_gemma":[0.001371813,0.0000307312,0.0007354073,0.0006526666,0.000005762185,0.000005302669,0.00004495811,0.5507523,0.4447822,0.001252169,0.0001331264,0.0002334864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956268,0.0004460191,0.001499829,0.0008761539,0.0005676593,0.0004804013,0.00006416484,0.0004198118,0.00001915417],"genre_scores_gemma":[0.9947309,0.0002160247,0.004415406,0.00003652267,0.0001491045,0.0002274884,0.0001624758,0.00004865414,0.00001341251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5500613,"threshold_uncertainty_score":0.8149536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646499462744668,"score_gpt":0.284913412297745,"score_spread":0.2584484176702983,"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."}}