{"id":"W3181652849","doi":"10.1002/bit.27888","title":"Effect of nutrient metabolism on cartilaginous tissue formation","year":2021,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Toronto Metropolitan University; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Metabolism; Anaerobic exercise; Cell biology; Cartilage; Chemistry; Metabolomics; Intracellular; Biochemistry; Metabolic pathway; Cell metabolism; Carbohydrate metabolism; Biology; Bioinformatics; Anatomy; Physiology","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":[0.0000501285,0.0000870014,0.0001972879,0.0001035745,0.00002104359,0.000002814191,0.00001720618,0.0001694505,0.000006780775],"category_scores_gemma":[0.00002244416,0.00006924622,0.00002797944,0.0001145525,0.00002477378,0.00002573757,0.00002002501,0.00008788553,0.000005020744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009712995,"about_ca_system_score_gemma":0.000006217694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.640823e-7,"about_ca_topic_score_gemma":4.785806e-7,"domain_scores_codex":[0.9996185,0.000008509239,0.00009505464,0.0001100298,0.00005667331,0.0001111909],"domain_scores_gemma":[0.9997846,0.00001735722,0.0000201015,0.0001304747,0.00001703257,0.00003039144],"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":[0.00007223036,0.00003529629,0.0000545969,0.0001254157,0.00002327649,0.00006702544,0.00002496893,0.000001928755,0.8991734,0.008521251,0.000004181282,0.0918964],"study_design_scores_gemma":[0.001335606,0.001615472,0.000177396,0.0000826793,0.00009138306,0.000126025,0.00001407551,0.0000411746,0.9944511,0.00002629931,0.001986464,0.00005234893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957693,0.002594799,0.0007012491,0.0004215377,0.0001380585,0.0001736678,0.000005064807,0.0001045848,0.00009171742],"genre_scores_gemma":[0.9991211,0.0001802406,0.0005742456,0.00001920936,0.000021753,0.000009881188,0.00001422061,0.000006749936,0.00005254066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09527765,"threshold_uncertainty_score":0.2823779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00469979173694665,"score_gpt":0.223959729075741,"score_spread":0.2192599373387943,"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."}}