{"id":"W2987645848","doi":"10.1002/adfm.201903874","title":"Rapid Biofabrication of Printable Dense Collagen Bioinks of Tunable Properties","year":2019,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shriners Hospitals for Children - Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Biofabrication; Self-healing hydrogels; Materials science; Tissue engineering; Nanotechnology; Extracellular matrix; Scaffold; Biomedical engineering; Native tissue; Regenerative medicine; Cell; Chemistry; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003226404,0.0000954788,0.0002264726,0.0001102302,0.0000192097,0.00001099284,0.0001209213,0.00007413312,0.00193324],"category_scores_gemma":[0.0001549947,0.0000835036,0.00002959358,0.0002151543,0.00007030837,0.0001292067,0.00005900465,0.00003858416,0.0001846681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005020322,"about_ca_system_score_gemma":0.00004390997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001690165,"about_ca_topic_score_gemma":3.75655e-7,"domain_scores_codex":[0.9989806,0.00003151871,0.0003539091,0.0001435792,0.0003021134,0.0001882538],"domain_scores_gemma":[0.9994029,0.00007800634,0.00007599712,0.0002331052,0.0001680053,0.00004193911],"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":[0.00009608224,0.00002365748,0.0002971887,0.000484503,0.00003229953,1.929877e-7,0.0000214232,0.003102886,0.9933738,0.0003701346,0.0001502277,0.002047672],"study_design_scores_gemma":[0.000294497,0.00006853138,0.005996002,0.00008783093,0.000005176986,0.000001897487,0.00002689305,0.0002998699,0.9895132,0.0002530097,0.003367573,0.00008557427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959617,0.0002756295,0.0007541741,0.00003000906,0.0006862537,0.0003296853,0.0000269444,0.00007841569,0.001857206],"genre_scores_gemma":[0.9966298,0.000125377,0.002300662,0.000008459754,0.00004270806,0.00004028003,0.00002159781,0.0000220755,0.0008090103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005698814,"threshold_uncertainty_score":0.9989792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938000712982519,"score_gpt":0.2172305210490374,"score_spread":0.1978505139192122,"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."}}