{"id":"W4399570832","doi":"10.3389/fnut.2024.1436894","title":"Editorial: Immunometabolism: bridging the gap between immunology and nutrition","year":2024,"lang":"en","type":"editorial","venue":"Frontiers in Nutrition","topic":"Immune responses and vaccinations","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Dental and Craniofacial Research; Ministerio de Ciencia e Innovación","keywords":"Bridging (networking); Immunology; Medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0008490373,0.0004620128,0.0008447678,0.0008871095,0.000404991,0.0001612057,0.0004918691,0.002304489,0.00003449334],"category_scores_gemma":[0.0004727627,0.0004026459,0.0002225823,0.0005035424,0.0003171263,0.0002223175,0.0002293754,0.002737219,0.0001133284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795364,"about_ca_system_score_gemma":0.000184806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280639,"about_ca_topic_score_gemma":0.0000118216,"domain_scores_codex":[0.9972235,0.000662097,0.0007129284,0.0006501132,0.0001485598,0.0006028279],"domain_scores_gemma":[0.9982802,0.0007480237,0.0002537017,0.0004815985,0.0002164162,0.00002001202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004025325,0.0001566967,0.00002648856,0.0006106648,0.0003826209,0.000003769862,0.0001975663,1.191463e-7,0.001582079,0.0001227166,0.9924784,0.004036371],"study_design_scores_gemma":[0.002952378,0.0001703443,0.0001182514,0.001173818,0.0003046963,0.00001149184,0.0004808803,0.000003051188,0.0004079544,0.003509645,0.9904627,0.0004047669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005566058,0.2403606,0.0002234651,0.0005723813,0.756498,0.0007820594,0.0008408857,0.0001040741,0.00006192016],"genre_scores_gemma":[0.0008698225,0.07873005,0.0001348478,0.00001365128,0.9130193,0.0005765787,0.005137833,0.00008515605,0.001432771],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1616306,"threshold_uncertainty_score":0.9998425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007094435442441712,"score_gpt":0.2477557185356482,"score_spread":0.2406612830932065,"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."}}