{"id":"W4410720561","doi":"10.1016/j.tifs.2025.105105","title":"New insights into the connection between food and mood: Unlock the science-backed benefits of dietary bioactive components toward emotional wellbeing","year":2025,"lang":"en","type":"article","venue":"Trends in Food Science & Technology","topic":"Diet and metabolism studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Hong Kong Baptist University","keywords":"Mood; Connection (principal bundle); Psychology; Social psychology; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005088544,0.0001569305,0.0003511843,0.002112083,0.0005810083,0.00002480339,0.0005858019,0.00009686959,0.000003308574],"category_scores_gemma":[0.0002434911,0.00009165706,0.0000447768,0.00681236,0.004597179,0.000191921,0.0005469799,0.0003057577,8.749874e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009472784,"about_ca_system_score_gemma":0.0002536371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001084874,"about_ca_topic_score_gemma":0.0002313412,"domain_scores_codex":[0.9984307,0.00002353348,0.0002998888,0.0004589407,0.0004370559,0.0003499216],"domain_scores_gemma":[0.9992032,0.00009861164,0.0001164732,0.0003538457,0.0001708622,0.00005699173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001467694,0.0002525133,0.1101172,0.00004644522,0.0002497433,0.000001665462,0.01690445,0.00005677058,0.06623116,0.1457857,0.000102009,0.6601055],"study_design_scores_gemma":[0.001136801,0.000945397,0.9157926,0.0001669457,0.00009463696,0.000005083349,0.004762372,0.0001226437,0.05560873,0.02080218,0.0004409197,0.0001216783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980543,0.002361833,0.00007752004,0.01359315,0.000383728,0.000199974,0.000002515932,0.00005569146,0.002782585],"genre_scores_gemma":[0.9992067,0.0002129356,0.0003724753,0.00007013519,0.00004668892,0.00001353158,0.00000167753,0.000004442885,0.00007142166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8056754,"threshold_uncertainty_score":0.9981117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04450373397983499,"score_gpt":0.3025493644895116,"score_spread":0.2580456305096767,"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."}}