{"id":"W3216562952","doi":"10.1557/s43578-021-00433-w","title":"Automated biofabrication of anisotropic dense fibrin gels accelerate osteoblastic differentiation of seeded mesenchymal stem cells","year":2021,"lang":"en","type":"article","venue":"Journal of materials research/Pratt's guide to venture capital sources","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Shriners Hospitals for Children - Canada; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biofabrication; Fibrin; Self-healing hydrogels; Materials science; Mesenchymal stem cell; Thrombin; Extracellular matrix; Biomedical engineering; Biophysics; Tissue engineering; Cell biology; Chemistry; Biochemistry; Polymer chemistry; Biology; Platelet; Immunology","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":[0.0001750503,0.0003188614,0.0001827004,0.0003310523,0.0001603908,0.000372685,0.000166102,0.0003130474,0.001506],"category_scores_gemma":[0.0002790185,0.0002561168,0.0003635509,0.0002320096,0.0001775889,0.000248642,0.000292395,0.0004253823,0.0002678763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283085,"about_ca_system_score_gemma":0.0001616638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015264,"about_ca_topic_score_gemma":0.002509426,"domain_scores_codex":[0.9998202,0.00001011701,0.00001616947,0.0000289679,0.0000801922,0.00004429208],"domain_scores_gemma":[0.9998202,0.00006802708,0.00005674149,0.00002546381,0.00001717879,0.00001243169],"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":[0.00003817605,0.00001684573,0.00008215228,0.00002099492,0.000002964274,0.00003023732,0.00002672624,0.0001812315,0.9950643,0.00006735484,0.00005748739,0.004411463],"study_design_scores_gemma":[0.0000275774,0.0001012108,0.003166246,0.00000804585,0.000009467302,0.0001200399,0.00003043129,0.001981018,0.9925742,0.00009643505,0.001875703,0.000009531841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669685,0.002352168,0.02539838,0.0001207173,0.0001684196,0.00006530292,0.0002291372,0.0003544428,0.004342994],"genre_scores_gemma":[0.976917,0.0009224531,0.01817783,0.00005822243,0.0000248893,0.00004500969,0.0001468485,0.00006502253,0.003642505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001506,"threshold_uncertainty_score":0.005038083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013877252630143,"score_gpt":0.2756309294990419,"score_spread":0.2554921569727405,"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."}}