{"id":"W7161097693","doi":"","title":"Adipose and hepatic aquaglyceroporins in energy metabolism: physio-pathology and translational relevance","year":2022,"lang":"en","type":"article","venue":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","topic":"Ion Transport and Channel Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Universidade Lusófona de Humanidades e Tecnologias; Laboratório Associado para a Química Verde; Russian Academy of Sciences; Universidade do Porto; Universidade de Aveiro; Rede de Química e Tecnologia; Universitat de Girona; Université de Montréal; European Social Fund; Hebrew University of Jerusalem; Universidade de Coimbra; Hadassah Medical Organization; Kazan Federal University; Universidad de Alcalá","keywords":"Adipose tissue; Adipocyte; Aquaporin; Hepatocyte; Steatosis; Glucose uptake; Glycerol; Leptin; PI3K/AKT/mTOR pathway","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005533359,0.00008533317,0.000147961,0.0003235693,0.0004484132,0.000009844762,0.0001315815,0.00007591289,0.00003543038],"category_scores_gemma":[0.00002326702,0.0001042333,0.00003806168,0.0002776242,0.0002724701,0.00009250024,0.0001061591,0.0001356913,0.00000216483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005041957,"about_ca_system_score_gemma":0.0002090155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003823774,"about_ca_topic_score_gemma":0.0001088267,"domain_scores_codex":[0.9988863,0.0001329368,0.0002100055,0.0001725597,0.0004339561,0.0001642587],"domain_scores_gemma":[0.9994777,0.00002392209,0.00009145208,0.0001276606,0.0002102467,0.00006905898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.006279903,0.000493116,0.02303518,0.002014029,0.0004038205,0.0002332153,0.01364563,0.1129216,0.1047775,0.6918218,0.003050164,0.04132406],"study_design_scores_gemma":[0.01085447,0.0008741256,0.5548548,0.0001944365,0.00007991682,0.0006527723,0.02695132,0.09025533,0.00448124,0.001154159,0.308754,0.0008934313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878438,0.000645202,0.009504037,0.000315329,0.00007740944,0.0001780668,0.0001199006,0.000009367087,0.001306861],"genre_scores_gemma":[0.9987071,0.0002487465,0.0003626459,0.00002592324,0.00003081329,0.000005880493,0.0005083316,0.000003681373,0.0001068923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6906676,"threshold_uncertainty_score":0.4250512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606280182981204,"score_gpt":0.2323109695430469,"score_spread":0.2162481677132349,"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."}}