{"id":"W4379795325","doi":"10.3390/jfb14060313","title":"Reinforcement of Hydrogels with a 3D-Printed Polycaprolactone (PCL) Structure Enhances Cell Numbers and Cartilage ECM Production under Compression","year":2023,"lang":"en","type":"article","venue":"Journal of Functional Biomaterials","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Self-healing hydrogels; Materials science; Fibrocartilage; Hyaline cartilage; Cartilage; Extracellular matrix; Polycaprolactone; Biomedical engineering; Tissue engineering; Glycosaminoglycan; Regeneration (biology); Chondrocyte; Aggrecan; Biophysics; Composite material; Cell biology; Chemistry; Articular cartilage; Anatomy; Polymer; Osteoarthritis; Polymer chemistry; 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":[0.0001889849,0.0001413587,0.0003556235,0.0001922273,0.00006065924,0.00001892456,0.00003173107,0.0000723394,0.0002793077],"category_scores_gemma":[0.00001845572,0.00009105563,0.00005467534,0.000161609,0.00006158989,0.0001566669,0.00002330911,0.00004202933,0.000005776724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004229487,"about_ca_system_score_gemma":0.0000834945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006652264,"about_ca_topic_score_gemma":0.000006768098,"domain_scores_codex":[0.9988201,0.00003743692,0.0004419523,0.0001438269,0.000415185,0.0001414761],"domain_scores_gemma":[0.999127,0.00002381052,0.0004554457,0.0001057358,0.0001932996,0.00009465386],"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":[0.002713571,0.00006151062,0.0004092035,0.0001217796,0.00007174486,0.00002986825,0.0001272115,0.000171278,0.99572,0.00001940354,0.0002645936,0.0002898908],"study_design_scores_gemma":[0.002734414,0.002165185,0.002315645,0.0003742038,0.0001765726,0.0003865868,0.0003133019,0.000006902311,0.9911033,0.0001096018,0.0002328032,0.00008151137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981805,0.0001498501,0.0001063969,0.0002916825,0.0008539303,0.0002908985,0.00001946461,0.00002335481,0.0000838855],"genre_scores_gemma":[0.9983713,0.00006873428,0.0005590204,0.00003446716,0.0002670824,0.000004670255,0.00005688095,0.00001418084,0.0006236741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004616673,"threshold_uncertainty_score":0.371314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387462807108461,"score_gpt":0.2425139599012881,"score_spread":0.2286393318302035,"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."}}