{"id":"W2067141183","doi":"10.1016/j.metabol.2015.01.017","title":"Transgenic ω-3 PUFA enrichment alters morphology and gene expression profile in adipose tissue of obese mice: Potential role for protectins","year":2015,"lang":"en","type":"article","venue":"Metabolism","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Canada Foundation for Innovation; McGill University; Canadian Institutes of Health Research; Université Laval; Canadian Diabetes Association","keywords":"Adipocyte; Adipose tissue; Adipogenesis; Peroxisome proliferator-activated receptor gamma; Biology; Endocrinology; Internal medicine; Microarray analysis techniques; Transgene; Polyunsaturated fatty acid; Microarray; Genetically modified mouse; Gene expression profiling; Peroxisome proliferator-activated receptor; Gene expression; Cell biology; Gene; Genetics; Biochemistry; Fatty acid; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000690719,0.0001456574,0.0003515217,0.0002158542,0.0000749467,0.00001621626,0.0001539998,0.000132769,0.00003212318],"category_scores_gemma":[0.0001038964,0.0001269323,0.00005017618,0.000155708,0.00008306604,0.0001255533,0.00004541188,0.0002189659,0.000008123986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004741551,"about_ca_system_score_gemma":0.00008899259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005318518,"about_ca_topic_score_gemma":0.00008205323,"domain_scores_codex":[0.9983324,0.0002372867,0.0003331195,0.0003277794,0.0002682233,0.0005011774],"domain_scores_gemma":[0.999319,0.00003317576,0.00009110545,0.0002073567,0.00009650159,0.0002529114],"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":[0.001835573,0.0002074412,0.0001462745,0.0001531226,0.00001177955,0.000005163987,0.002298216,0.00004834361,0.9796989,0.00002123731,0.0004591351,0.01511482],"study_design_scores_gemma":[0.003721786,0.00057103,0.003445776,0.00004155393,0.00003018627,0.00001489096,0.0003254513,0.0004975352,0.9869211,0.0005340559,0.003766043,0.0001305631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865773,0.007808759,0.001841159,0.001107138,0.0004786494,0.002037307,0.00007072921,0.00002511574,0.00005378964],"genre_scores_gemma":[0.9803678,0.0001109996,0.01873448,0.00009347683,0.0002028079,0.0003460479,0.00003207674,0.00002816909,0.00008411662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01689332,"threshold_uncertainty_score":0.517615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560542419204162,"score_gpt":0.314872017492709,"score_spread":0.2892665933006674,"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."}}