{"id":"W4376134352","doi":"10.1021/acs.est.2c09361","title":"PPARγ As a Potential Target for Adipogenesis Induced by Fine Particulate Matter in 3T3-L1 Preadipocytes","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Environmental Health Sciences; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Adipogenesis; Adipocyte; CD36; Peroxisome proliferator-activated receptor; 3T3-L1; Adipose tissue; Lipid metabolism; Chemistry; Biology; Cell biology; Endocrinology; Internal medicine; Receptor; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001718674,0.0004040489,0.0004389539,0.0003101081,0.0003203224,0.000386006,0.000170034,0.0003906454,0.001191201],"category_scores_gemma":[0.00007622079,0.0001917969,0.0006750356,0.0004250057,0.0001855903,0.0001720632,0.0003125914,0.000605881,0.0003523674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320491,"about_ca_system_score_gemma":0.0004316253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035979,"about_ca_topic_score_gemma":0.004301732,"domain_scores_codex":[0.9998651,0.00001373012,0.000008244701,0.00004636028,0.00003969177,0.00002687963],"domain_scores_gemma":[0.9999646,0.000005172311,0.000008758816,0.000003555512,0.00001148155,0.000006559675],"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":[0.0001793577,0.00001627552,0.0008088296,0.0001180171,0.00001431063,0.00008784176,0.00002239957,0.0002920412,0.9960614,0.00009630578,0.00009065348,0.002212401],"study_design_scores_gemma":[0.00005474947,0.0005149565,0.03962231,0.00004203356,0.0002460816,0.0004561249,0.000305551,0.003362954,0.9415166,0.000582417,0.01326298,0.00003319507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627471,0.00934878,0.02005899,0.0006023863,0.0001819586,0.00007429492,0.003551113,0.0003281522,0.003107218],"genre_scores_gemma":[0.9730132,0.007328739,0.009210872,0.0004982228,0.00003891427,0.0001570358,0.003781987,0.0000424548,0.005928576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002035979,"threshold_uncertainty_score":0.004048228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472775418473419,"score_gpt":0.2743449389952908,"score_spread":0.2596171848105566,"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."}}