{"id":"W3013790276","doi":"10.1016/j.cell.2020.02.057","title":"Evolutionary Selection and Constraint on Human Knee Chondrocyte Regulation Impacts Osteoarthritis Risk","year":2020,"lang":"en","type":"article","venue":"Cell","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging; National Science Foundation; American Heart Association; University of Washington; Tufts University; Harvard T.H. Chan School of Public Health; Harvard University; Boston University; Duke University; University of Waterloo; Harvard Medical School; National Institutes of Health","keywords":"Biology; Osteoarthritis; Selection (genetic algorithm); Constraint (computer-aided design); Chondrocyte; Cartilage; Anatomy; Artificial intelligence; Computer science; Pathology","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":[0.000574494,0.0001890898,0.0002598225,0.0003958622,0.0003942808,0.0008468646,0.0003178274,0.0004093027,0.004332935],"category_scores_gemma":[0.001176359,0.0001113856,0.0001962448,0.0003542013,0.0005150278,0.0002096051,0.0005472414,0.000376403,0.0002691125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897382,"about_ca_system_score_gemma":0.0003500611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956229,"about_ca_topic_score_gemma":0.003236368,"domain_scores_codex":[0.9995484,0.0001555137,0.00002005727,0.00009180701,0.00008852128,0.00009574647],"domain_scores_gemma":[0.9996173,0.0001216418,0.00007983,0.00003811091,0.00006889781,0.00007415373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001614904,0.0002436106,0.4056841,0.0002115369,0.0005330076,0.001571581,0.001495565,0.00442266,0.47977,0.01061502,0.001362611,0.09247541],"study_design_scores_gemma":[0.00004813175,0.0005864699,0.9615108,0.00004745179,0.0001347567,0.001906004,0.001893714,0.005633097,0.01675219,0.004278866,0.007151336,0.0000571672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956735,0.0006680444,0.0007524934,0.0002235595,0.00001318868,0.000004528494,0.00007230874,0.000005892115,0.002586424],"genre_scores_gemma":[0.9984861,0.0002504206,0.0002271697,0.00007520653,0.00001142832,0.000002575449,0.00006719615,0.000009661606,0.0008702714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004332935,"threshold_uncertainty_score":0.01449507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593351068316147,"score_gpt":0.2415001485604432,"score_spread":0.2255666378772817,"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."}}