{"id":"W4382449333","doi":"10.3390/surgeries4020021","title":"Primary Human Ligament Fibroblast Adhesion and Growth on 3D-Printed Scaffolds for Tissue Engineering Applications","year":2023,"lang":"en","type":"article","venue":"Surgeries","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Scaffold; Tissue engineering; Biomedical engineering; 3d printed; Materials science; Adhesion; Ligament; Fibroblast; Elastomer; Regenerative medicine; Surgery; Chemistry; Medicine; Stem cell; In vitro; Composite material; Cell biology; Biology","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":[0.0002679806,0.0004323072,0.0002211676,0.0003145153,0.0001400977,0.0003113686,0.0001932782,0.0004890094,0.001290854],"category_scores_gemma":[0.0002320187,0.0002183103,0.0003853793,0.0001957699,0.0001390577,0.0001853337,0.00019063,0.0002548409,0.0005579734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425854,"about_ca_system_score_gemma":0.00009494432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002196386,"about_ca_topic_score_gemma":0.0008116853,"domain_scores_codex":[0.9997455,0.00002128459,0.00002841139,0.00005221879,0.0001246501,0.00002791152],"domain_scores_gemma":[0.9998307,0.00006797721,0.00003837308,0.00002670354,0.00002408156,0.00001214645],"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":[0.0000104904,0.00001223399,0.00007752889,0.00003810205,0.000002184031,0.00004403129,0.00001062364,0.0001925786,0.9980565,0.00001872367,0.00001628279,0.001520773],"study_design_scores_gemma":[0.000004309012,0.0001248952,0.001835359,0.000008447795,0.00001082348,0.0001545034,0.0000136973,0.001789481,0.9947982,0.00003445426,0.001218344,0.000007506669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395546,0.003587673,0.05077542,0.00009572141,0.0001418397,0.0001456525,0.0007324661,0.0003588437,0.004607843],"genre_scores_gemma":[0.9420453,0.001522045,0.05278333,0.00008989742,0.00002005451,0.0002023549,0.0006337687,0.00004706119,0.002656149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001290854,"threshold_uncertainty_score":0.004318357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116565048857243,"score_gpt":0.2735184074723964,"score_spread":0.2618619025866721,"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."}}