{"id":"W1995754879","doi":"10.1155/2007/93578","title":"PPARs, RXRs, and Stem Cells","year":2007,"lang":"en","type":"article","venue":"PPAR Research","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001470799,0.0001101599,0.000102825,0.0001094409,0.000152433,0.00004463042,0.0002069551,0.0001774625,0.00004315069],"category_scores_gemma":[0.00004763336,0.0001011786,0.00003123773,0.0002009933,0.0001939684,0.000004071255,0.000253044,0.0002830709,0.0000789196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002712727,"about_ca_system_score_gemma":0.00007120802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002453736,"about_ca_topic_score_gemma":0.00001888006,"domain_scores_codex":[0.9984704,0.000123749,0.0001470172,0.0003799811,0.0003235492,0.0005552584],"domain_scores_gemma":[0.9992651,0.00004376259,0.00002264061,0.0003130548,0.0001403873,0.0002150671],"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":[0.000101348,0.00004038299,0.004154196,0.00001629404,0.00002456784,0.000007165111,0.00004697248,9.285943e-7,0.9800441,0.00005793847,0.007672346,0.007833801],"study_design_scores_gemma":[0.0002186523,0.0001513518,0.0003157595,0.000006278675,0.000001557077,0.000008672673,0.0001272466,0.000005744882,0.8516695,0.00002584336,0.1473678,0.0001016092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943134,0.001666892,0.0001482807,0.0001144323,0.0001004873,0.000203028,0.000007368954,0.00001501136,0.003431152],"genre_scores_gemma":[0.9963011,0.0005446673,0.0002288812,0.00006045722,0.0002696067,0.00001196797,0.0000132216,0.0000272572,0.002542804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396954,"threshold_uncertainty_score":0.4125944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875540765107951,"score_gpt":0.3582945683019253,"score_spread":0.3095391606508458,"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."}}