{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004093483,0.0001320827,0.0001667345,0.00005412367,0.0001546345,0.00001668755,0.00001609448,0.0000902212,0.0002339568],"category_scores_gemma":[0.00003707341,0.000128984,0.00005183907,0.0000967864,0.00003918227,0.00007429221,0.00001311754,0.0001493611,0.000110352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005847286,"about_ca_system_score_gemma":0.00004836363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001003658,"about_ca_topic_score_gemma":0.00001113544,"domain_scores_codex":[0.9992527,0.00003380583,0.0001462263,0.0002514303,0.0001465449,0.0001692889],"domain_scores_gemma":[0.9995009,0.00002006588,0.00006940735,0.0000878128,0.00004085452,0.0002809064],"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":[0.0010698,0.0002710202,0.01074773,0.0001502511,0.00003897242,0.0001210366,0.00106205,0.00002265861,0.9059867,0.001129729,0.003584336,0.07581577],"study_design_scores_gemma":[0.03656515,0.06420095,0.08365285,0.0005911401,0.0005958346,0.0005421104,0.0007023921,0.001036056,0.7892005,0.002066591,0.01999563,0.0008508029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898949,0.0006121356,0.00005014192,0.0004016902,0.00008767643,0.000464619,0.00002177755,0.0001174067,0.008349603],"genre_scores_gemma":[0.998076,0.00005747355,0.0005188856,0.00036206,0.0002356592,0.00001379254,0.0001073174,0.00001927642,0.0006095012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1167862,"threshold_uncertainty_score":0.5259814,"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."}}