{"id":"W2399276768","doi":"10.1371/journal.pone.0113588.t006","title":"Antioxidant parameters and cognitive function according to FV consumption and combined GST genotype.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Nutrition, Health and Food Behavior","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antioxidant; Genotype; Cognition; Function (biology); Consumption (sociology); Biology; Bioinformatics; Genetics; Biochemistry; Gene; Neuroscience; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001330477,0.001215018,0.001104919,0.0007145563,0.0002568359,0.0007148924,0.0007825199,0.000871354,0.006359824],"category_scores_gemma":[0.00176558,0.0004271051,0.001449015,0.0009832367,0.0003213152,0.000560776,0.0005905271,0.002149659,0.001006054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004635232,"about_ca_system_score_gemma":0.0007384293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065495,"about_ca_topic_score_gemma":0.005952928,"domain_scores_codex":[0.9993648,0.0001429408,0.00003641118,0.0002722348,0.00007733398,0.0001063059],"domain_scores_gemma":[0.9994388,0.0001857918,0.0001330642,0.0001100563,0.00006374783,0.0000684326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04792454,0.002063501,0.8408169,0.0009686901,0.01140559,0.001185522,0.0009309793,0.006676676,0.01105996,0.002074274,0.02081819,0.0540752],"study_design_scores_gemma":[0.0002866393,0.002661157,0.9587985,0.00008300193,0.002117287,0.0006704681,0.0002876759,0.0214022,0.00139165,0.001997121,0.01023724,0.0000670159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9545861,0.004084756,0.01265308,0.0006014413,0.0003035954,0.0002257679,0.01914884,0.0007502717,0.007646126],"genre_scores_gemma":[0.9808379,0.000406268,0.002899948,0.0001248438,0.00003610004,0.0004759612,0.005071962,0.0001486752,0.009998248],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01065495,"threshold_uncertainty_score":0.0212757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08937823523020573,"score_gpt":0.3334516501110412,"score_spread":0.2440734148808354,"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."}}