{"id":"W4394928868","doi":"10.1016/j.joca.2024.02.413","title":"DEVELOPING A CARTILAGE-ON-A-CHIP AND VASCULARIZED SYNOVIUM-ON-A-CHIP MODEL FOR OSTEOARTHRITIS STUDIES","year":2024,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Toronto; University Health Network","funders":"","keywords":"Osteoarthritis; Chip; Cartilage; Protein chip; Medicine; Computer science; Pathology; Anatomy; Biology; Bioinformatics; Alternative medicine; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001046332,0.0007188682,0.0009657826,0.0006401181,0.0003948192,0.0008727167,0.00152269,0.001556968,0.002030385],"category_scores_gemma":[0.000669317,0.0006194161,0.001178688,0.0003819422,0.0004281579,0.0006944216,0.0006619334,0.001865386,0.000942739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004009274,"about_ca_system_score_gemma":0.0008189603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444014,"about_ca_topic_score_gemma":0.003645407,"domain_scores_codex":[0.9991466,0.0001002848,0.00006186796,0.0001991097,0.0003178131,0.0001743895],"domain_scores_gemma":[0.9991724,0.0002012953,0.0001404288,0.0001324256,0.0001768558,0.0001765833],"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":[0.0001185248,0.0001408687,0.0002049886,0.0002626551,0.0000367293,0.0001177067,0.00002875442,0.0009462507,0.9929726,0.0007067038,0.0006175207,0.003846834],"study_design_scores_gemma":[0.0001117087,0.001425228,0.003997451,0.0000659421,0.0001876344,0.0005771614,0.00009264538,0.02245983,0.9491681,0.0005529408,0.021282,0.00007946478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3482558,0.007603543,0.6227118,0.0009057987,0.002926995,0.001491225,0.005121188,0.002778449,0.008205106],"genre_scores_gemma":[0.5802342,0.003485326,0.3964019,0.0009713586,0.0002236741,0.002761598,0.003589809,0.0003924758,0.01193959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002030385,"threshold_uncertainty_score":0.006792247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484198382929711,"score_gpt":0.2899588136217997,"score_spread":0.2551168297925026,"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."}}