{"id":"W2021450280","doi":"10.1155/2007/81654","title":"Inhibition of Protein Farnesylation Arrests Adipogenesis and Affects PPAR<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"E1\"><mml:mi>γ</mml:mi></mml:math>Expression and Activation in Differentiating Mesenchymal Stem Cells","year":2007,"lang":"en","type":"article","venue":"PPAR Research","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"Canadian Institutes of Health Research; Nepean Foundation","keywords":"Adipogenesis; Prenylation; Western blot; Algorithm; Biology; Machine learning; Molecular biology; Adipose tissue; Biochemistry; Computer science; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001380491,0.0003581168,0.0002761103,0.0001625497,0.0001451552,0.0002586756,0.0001907297,0.0002174658,0.00269022],"category_scores_gemma":[0.00008277754,0.0001784096,0.0002769669,0.0001949233,0.0002140181,0.0001740243,0.0001679142,0.0005938128,0.0008253888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471982,"about_ca_system_score_gemma":0.0003205955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006020806,"about_ca_topic_score_gemma":0.001216218,"domain_scores_codex":[0.9998413,0.00002423849,0.00002236034,0.00003622473,0.00003007925,0.00004578545],"domain_scores_gemma":[0.999912,0.00002347195,0.00002221561,0.00001168875,0.000007050098,0.00002355622],"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":[0.0002229838,0.00006458876,0.00005638612,0.00004858298,0.000004646919,0.0000250278,0.00001263122,0.00004649972,0.9983959,0.00007386928,0.00006401454,0.0009848663],"study_design_scores_gemma":[0.00002155299,0.0002777931,0.001230627,0.000003973139,0.00000680781,0.0000709721,0.00001425911,0.0001893434,0.9962107,0.00002006891,0.001951169,0.000002881759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893533,0.003054038,0.002653592,0.0002149754,0.00008229613,0.00005053102,0.0009731135,0.0001518365,0.003466424],"genre_scores_gemma":[0.9836713,0.003140864,0.003039771,0.0001147598,0.0000253539,0.00007392088,0.002027925,0.00005630848,0.007849769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00269022,"threshold_uncertainty_score":0.008999705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006483929264076,"score_gpt":0.2675094807072234,"score_spread":0.2474446414145827,"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."}}