{"id":"W3206169478","doi":"10.1021/acsbiomaterials.1c00812","title":"Decellularized Extracellular Matrix Composite Hydrogel Bioinks for the Development of 3D Bioprinted Head and Neck in Vitro Tumor Models","year":2021,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Ministry of Higher Education; Canadian Institutes of Health Research; Faculty of Engineering, McGill University; China Scholarship Council; National University of Defense Technology; Canada Foundation for Innovation; National Institutes of Health; Consejo Nacional de Ciencia y Tecnología","keywords":"Decellularization; Extracellular matrix; Self-healing hydrogels; Head and neck squamous-cell carcinoma; In vivo; Materials science; 3D cell culture; Biomedical engineering; Tumor microenvironment; Tissue engineering; Biophysics; In vitro; Chemistry; Cancer research; Cancer; Head and neck cancer; Biochemistry; Biology; Medicine","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":[0.001595582,0.0002176193,0.0003348447,0.0003064268,0.0001267435,0.0001518535,0.000523373,0.00008163445,0.00000883603],"category_scores_gemma":[0.00024366,0.0001848425,0.00004310228,0.0008943328,0.0002313077,0.0001965904,0.0003224124,0.00008777269,0.000003807522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177957,"about_ca_system_score_gemma":0.0001563784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001599613,"about_ca_topic_score_gemma":0.000002324073,"domain_scores_codex":[0.9979002,0.00001498421,0.0006230212,0.0003626162,0.0004560167,0.000643138],"domain_scores_gemma":[0.9991261,0.000217421,0.00005156214,0.0003434384,0.0001137382,0.000147738],"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":[0.00001723028,0.00002050935,0.00003910903,0.0001741328,0.00002035238,0.000008367016,0.000292584,0.01337132,0.984773,0.0002802601,7.340308e-7,0.001002447],"study_design_scores_gemma":[0.0003406322,0.000006771432,0.0005877758,0.0001034661,0.000005508392,0.00001133507,0.00002218138,0.304606,0.6940232,0.00003780384,0.0001115757,0.0001437482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156207,0.001373882,0.08214629,0.00003848908,0.0003363303,0.0003361929,0.00001386697,0.0001254998,0.000008701713],"genre_scores_gemma":[0.8672903,0.00002967438,0.1325468,0.000003234638,0.00002446293,0.00005803691,0.000008549402,0.00003108035,0.000007869219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2912347,"threshold_uncertainty_score":0.7537659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204864909598296,"score_gpt":0.2719879897734701,"score_spread":0.2499393406774871,"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."}}