{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001155525,0.0001014077,0.0002153928,0.0001957995,0.0001211194,0.00001935116,0.000026959,0.00006459917,0.00002453061],"category_scores_gemma":[0.00001930641,0.00008895741,0.00005040324,0.0001585406,0.00006429959,0.00004144732,0.00003291519,0.00004332059,0.000009162341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003170297,"about_ca_system_score_gemma":0.00001873696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007784325,"about_ca_topic_score_gemma":8.172339e-7,"domain_scores_codex":[0.9993879,0.000004612013,0.000204868,0.0001710575,0.00008618373,0.0001454089],"domain_scores_gemma":[0.9996259,0.00007765723,0.00004656599,0.0001328234,0.00005401106,0.00006302508],"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":[0.0003285953,0.0001727521,0.01300752,0.004017952,0.0001829287,0.00001480691,0.000545229,0.000007637276,0.7392639,0.02453099,0.01835238,0.1995753],"study_design_scores_gemma":[0.0004699154,0.00068425,0.03642484,0.0008452361,0.00004110944,0.00004123421,0.000173977,0.00005915635,0.7949092,0.001399892,0.164656,0.0002951916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923655,0.0001373402,0.002534412,0.001355299,0.0001587582,0.001208238,0.00003629505,0.001132061,0.001072054],"genre_scores_gemma":[0.987877,0.0004195008,0.007869585,0.0001414808,0.0003017799,0.0008899849,0.0001409028,0.00005526637,0.002304521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992801,"threshold_uncertainty_score":0.3627578,"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."}}