{"id":"W4403604422","doi":"10.1503/cmaj.240440","title":"Diet and depression","year":2024,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Diet and metabolism studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Computer science; Medicine; Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007482059,0.0002033041,0.0004553254,0.0008405733,0.0007087073,0.001175044,0.0002181709,0.0008267263,0.006685627],"category_scores_gemma":[0.003287788,0.0001903805,0.0005278448,0.001729497,0.0002372608,0.0003899604,0.000503564,0.0009364184,0.0004736493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257156,"about_ca_system_score_gemma":0.001678877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08710981,"about_ca_topic_score_gemma":0.1652266,"domain_scores_codex":[0.9994678,0.0001792349,0.00005277901,0.00007152873,0.0001660948,0.00006254711],"domain_scores_gemma":[0.999043,0.0002898207,0.0002454845,0.0000369209,0.0002628292,0.0001218338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001600371,0.0002842294,0.3314288,0.009698791,0.003779997,0.0003295242,0.0005754743,0.0001086508,0.0006714016,0.005939176,0.1559595,0.4896241],"study_design_scores_gemma":[0.0001850125,0.0002572552,0.8394127,0.01097187,0.00244071,0.0009674188,0.000483533,0.00009786194,0.0001714361,0.003304485,0.1416681,0.00003960459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04467056,0.8933525,0.0002393968,0.03547965,0.001663586,0.00004846444,0.005396696,0.00002743887,0.0191216],"genre_scores_gemma":[0.3125508,0.6593923,0.0009900749,0.01593482,0.002217029,0.0000752468,0.002645987,0.00001407592,0.006179707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08710981,"threshold_uncertainty_score":0.1732056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00800803135905017,"score_gpt":0.2585619811951541,"score_spread":0.250553949836104,"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."}}