{"id":"W2964684569","doi":"10.1021/acsbiomaterials.9b00505","title":"A Visible Light-Cross-Linkable, Fibrin–Gelatin-Based Bioprinted Construct with Human Cardiomyocytes and Fibroblasts","year":2019,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; International Collaboration On Repair Discoveries; University of Victoria","funders":"National Heart, Lung, and Blood Institute; University of Texas at El Paso; British Columbia Innovation Council; Mitacs; Division of Materials Research; Canada Research Chairs; National Institute of General Medical Sciences; Stem Cell Network; Natural Sciences and Engineering Research Council of Canada; Bill and Melinda Gates Foundation","keywords":"Gelatin; Fibrin; Construct (python library); Biomedical engineering; Materials science; Computer science; Chemistry; Medicine; Immunology; 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":[0.000230336,0.0003844471,0.0001726542,0.0001841568,0.0001150978,0.0002242561,0.0001917064,0.0003563722,0.0006261216],"category_scores_gemma":[0.000186205,0.0001540005,0.000206853,0.000126339,0.0001760344,0.0002191901,0.0001896527,0.0003268521,0.0002117268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716336,"about_ca_system_score_gemma":0.0001320964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001672178,"about_ca_topic_score_gemma":0.000341933,"domain_scores_codex":[0.9998664,0.00001564506,0.0000138574,0.00004062387,0.00004550156,0.00001793357],"domain_scores_gemma":[0.9998404,0.00003840768,0.00005994068,0.00001981074,0.00001310181,0.00002831659],"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":[0.00001798016,0.000008622131,0.0000655873,0.00002052845,0.000002957223,0.00006959356,0.00001004492,0.00009059052,0.9989366,0.00003653799,0.000009573036,0.0007313419],"study_design_scores_gemma":[0.000006508367,0.0001431424,0.001778528,0.000006067056,0.00001167873,0.000392851,0.000009603867,0.0007450659,0.9953712,0.0000173479,0.001512935,0.00000513781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688044,0.001412086,0.02682828,0.00009924846,0.00008183334,0.0001121935,0.0002815432,0.000150077,0.002230403],"genre_scores_gemma":[0.9650252,0.0005142585,0.03200173,0.00006020978,0.00001326787,0.0000609541,0.0002593301,0.00003492317,0.00203008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006261216,"threshold_uncertainty_score":0.002094567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006318069589890249,"score_gpt":0.2492340968158357,"score_spread":0.2429160272259455,"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."}}