{"id":"W2797603804","doi":"10.1088/1758-5090/aabd5b","title":"Self-assembled human osseous cell sheets as living biopapers for the laser-assisted bioprinting of human endothelial cells","year":2018,"lang":"en","type":"article","venue":"Biofabrication","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canada Foundation for Innovation","keywords":"3D bioprinting; Tissue engineering; Extracellular matrix; Biomedical engineering; Umbilical vein; Regenerative medicine; Human umbilical vein endothelial cell; Cell biology; Cell culture; Matrix (chemical analysis); Cell; Materials science; Mesenchymal stem cell; In vitro; Stem cell; Chemistry; Biology; Medicine; 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":[0.000817012,0.0001745226,0.0001813329,0.0001680535,0.0003582366,0.00007293353,0.0005438802,0.0001428946,0.0001117688],"category_scores_gemma":[0.0001976183,0.0001469875,0.0001061367,0.0004022954,0.0001025762,0.00006709222,0.0001112435,0.0001621072,0.0001110613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230544,"about_ca_system_score_gemma":0.0000401864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001432798,"about_ca_topic_score_gemma":0.00001806718,"domain_scores_codex":[0.9984737,0.00005499101,0.0004171816,0.0002801386,0.0003656585,0.00040832],"domain_scores_gemma":[0.9985009,0.0005533496,0.0001366496,0.0004977386,0.0002132231,0.00009807305],"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":[0.000004427808,0.00007863584,0.0003293801,0.0002157814,0.000040008,4.092308e-7,0.0003459291,0.00001288659,0.9914777,0.0001976652,0.0002784184,0.007018725],"study_design_scores_gemma":[0.0003061096,0.0001669913,0.00915209,0.00006655097,0.00003905318,0.000002028527,0.0001125549,0.006644172,0.9778578,0.00004834247,0.005417049,0.0001872162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846905,0.00007103208,0.003504349,0.00009525736,0.00035421,0.0007093753,0.00001260463,0.0004176304,0.01014504],"genre_scores_gemma":[0.9960012,0.00003394325,0.003132223,0.00001842747,0.0003938254,0.0000778164,0.000006832684,0.00005369654,0.0002820162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361989,"threshold_uncertainty_score":0.5993977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832542743526818,"score_gpt":0.2870529331254988,"score_spread":0.2687275056902306,"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."}}