{"id":"W2099404095","doi":"10.1155/2013/980471","title":"Polymorphisms in<i>PPAR</i>Genes (<i>PPARD</i>,<i>PPARG</i>, and<i>PPARGC1A</i>) and the Risk of Chronic Kidney Disease in Japanese: Cross-Sectional Data from the J-MICC Study","year":2013,"lang":"en","type":"article","venue":"PPAR Research","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"RIKEN; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Peroxisome proliferator-activated receptor gamma; Medicine; PPARGC1A; Disease; Gene; Bioinformatics; Peroxisome proliferator-activated receptor; Internal medicine; Biology; Genetics; Receptor; Transcription factor","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":[0.003180918,0.0003119236,0.0003767879,0.0001480072,0.0003623176,0.0002258134,0.001414698,0.0001894271,0.0001354667],"category_scores_gemma":[0.001561078,0.0001978269,0.00006870352,0.0005225698,0.001575121,0.00005696319,0.001989876,0.0008141478,0.00003096157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006222483,"about_ca_system_score_gemma":0.0004763475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082332,"about_ca_topic_score_gemma":0.001515912,"domain_scores_codex":[0.9951773,0.001708303,0.0005868773,0.001084283,0.0007374557,0.0007057455],"domain_scores_gemma":[0.9970574,0.0005357167,0.0001511711,0.001714667,0.0002036688,0.0003373515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008667859,0.0003829885,0.9018333,0.0000211483,0.000146526,0.000004276116,0.0003893933,0.0000512953,0.09421982,0.00001368234,0.001759389,0.0003113778],"study_design_scores_gemma":[0.006640474,0.0003260885,0.9527531,0.00005506311,0.00004024713,0.000007692592,0.0006184678,0.002211759,0.03237871,0.0004660939,0.004106529,0.0003957998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842982,0.01237106,0.000004246837,0.0008823847,0.0001376596,0.001700098,0.000491295,0.00001127477,0.0001037619],"genre_scores_gemma":[0.9945967,0.003860517,0.00002105541,0.0001445423,0.0004003755,0.0004427742,0.0003115505,0.00004784782,0.0001747062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06184111,"threshold_uncertainty_score":0.9957637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04179858988325301,"score_gpt":0.3419231179423958,"score_spread":0.3001245280591427,"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."}}