{"id":"W1574416391","doi":"10.1186/ar836","title":"PPARγ ligands inhibit catabolic and inflammatory responses in articular joint cells","year":2003,"lang":"en","type":"article","venue":"Arthritis Research","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Notre-Dame","funders":"National Institutes of Health; Ministry of Education, Culture, Sports, Science and Technology; Deutsche Forschungsgemeinschaft; Lupus Research Alliance; Wellcome Trust","keywords":"Nitric oxide; Chemistry; Peroxisome proliferator-activated receptor; Receptor; Nitric oxide synthase; Nuclear receptor; Tumor necrosis factor alpha; Internal medicine; Transcription factor; Endocrinology; Arthritis; Inflammation; Catabolism; Cell biology; Biochemistry; Biology; Enzyme; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362421,0.0001543954,0.0001826533,0.0002536725,0.0001448148,0.0000715069,0.0001176399,0.0002093211,0.00004981376],"category_scores_gemma":[0.0007453136,0.0001599952,0.00004118414,0.0002992704,0.000298669,0.00001357997,0.0001636203,0.0003826461,0.00005921831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003170642,"about_ca_system_score_gemma":0.0002533249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004021937,"about_ca_topic_score_gemma":0.0001511358,"domain_scores_codex":[0.9978595,0.0004619212,0.0002783258,0.0004709034,0.0003273016,0.000602056],"domain_scores_gemma":[0.9991965,0.00004245028,0.00003178941,0.0003746782,0.0001448825,0.0002096539],"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":[0.00007151019,0.00006440481,0.01087369,0.00001494117,0.00001273411,0.00004829159,0.0001371191,0.000004401659,0.9859223,0.0001890611,0.0007030946,0.001958493],"study_design_scores_gemma":[0.0008934284,0.0001945341,0.002702279,0.00005277476,9.02447e-7,0.00004216611,0.0001745356,0.000005518681,0.964053,0.0001542525,0.03156212,0.0001644848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915445,0.007127273,0.00001058451,0.0001177808,0.00006655743,0.0002935424,0.0000113857,0.00001245539,0.000815894],"genre_scores_gemma":[0.9933023,0.005871261,0.0001200389,0.00007540736,0.00007661064,0.00009471036,0.00001290548,0.00003164032,0.0004150616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03085903,"threshold_uncertainty_score":0.6524415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599467372735991,"score_gpt":0.2975147894287082,"score_spread":0.2715201157013483,"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."}}