{"id":"W4318053700","doi":"10.3390/cells12030411","title":"A Lipidomics- and Transcriptomics-Based Analysis of the Intestine of Genetically Obese (ob/ob) and Diabetic (db/db) Mice: Links with Inflammation and Gut Microbiota","year":2023,"lang":"en","type":"article","venue":"Cells","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Göteborgs Universitet; Stiftelserna Wilhelm och Martina Lundgrens; Canada Excellence Research Chairs, Government of Canada; Fonds De La Recherche Scientifique - FNRS; Université Laval","keywords":"Lipidomics; Oxylipin; Inflammation; Biology; Gut flora; Intestinal permeability; Transcriptome; Lipid signaling; Endocrinology; Proinflammatory cytokine; Internal medicine; Gut–brain axis; Lipid metabolism; Immunology; Gene expression; Biochemistry; Medicine; 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":[0.0001602196,0.0005576778,0.000404553,0.0009062375,0.0002396782,0.0003835603,0.0001386406,0.0003061459,0.0007012091],"category_scores_gemma":[0.0001106144,0.0001965624,0.0003551775,0.0004112678,0.0003100921,0.0002136041,0.0002749735,0.0005674303,0.0002436202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000153905,"about_ca_system_score_gemma":0.0001546558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005669441,"about_ca_topic_score_gemma":0.0009645797,"domain_scores_codex":[0.9998533,0.00001241579,0.00001258181,0.00006322096,0.00003359626,0.00002484013],"domain_scores_gemma":[0.9998486,0.0000152254,0.00005300203,0.00001245836,0.00002285386,0.00004779712],"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":[0.0002223385,0.00001169172,0.0009006461,0.00001954502,0.000006757683,0.00001942053,0.00001162539,0.00001258693,0.9982398,0.00001159843,0.000005215662,0.0005388222],"study_design_scores_gemma":[0.00003551363,0.0007090172,0.233983,0.00003072968,0.0001947718,0.0007701073,0.0002982643,0.00119509,0.7602537,0.000200646,0.002294852,0.00003429478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908345,0.001096809,0.00458134,0.00006090862,0.00001999151,0.00002740242,0.00285548,0.00005093641,0.0004726366],"genre_scores_gemma":[0.9669917,0.003050724,0.01951049,0.0003854775,0.00003303933,0.0001965345,0.00581059,0.0001172014,0.00390425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009062375,"threshold_uncertainty_score":0.0023458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007937938481988939,"score_gpt":0.2395884356147138,"score_spread":0.2316504971327249,"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."}}