{"id":"W6901988356","doi":"10.6084/m9.figshare.24864180.v1","title":"Additional file 1 of Associations of dietary copper intake with cardiovascular disease and mortality: findings from the Chinese Perspective Urban and Rural Epidemiology (PURE-China) Study","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Trace Elements in Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"","keywords":"Perspective (graphical); Epidemiology; Disease; Rural population; Nutritional epidemiology; Rural area","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00141615,0.0009198985,0.001242237,0.002155714,0.001087667,0.0008692279,0.001987144,0.0008189986,0.7648295],"category_scores_gemma":[0.02486332,0.0005013912,0.001026507,0.004922644,0.0002546029,0.001520283,0.000875705,0.0008157822,0.05544891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008378529,"about_ca_system_score_gemma":0.002437992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02243412,"about_ca_topic_score_gemma":0.02386602,"domain_scores_codex":[0.9992582,0.0001783284,0.0001637364,0.0001583211,0.0001166828,0.0001245439],"domain_scores_gemma":[0.9863806,0.009473087,0.00107647,0.0007069483,0.001932638,0.0004302254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005104212,0.000146499,0.0131108,0.004404703,0.0001207608,0.0001055642,0.0001730832,0.0003315761,0.00005628199,0.0008074462,0.9703333,0.00989964],"study_design_scores_gemma":[0.01797996,0.001215032,0.315167,0.01144669,0.001581814,0.001430688,0.003254993,0.004900019,0.0009108083,0.01540861,0.6262686,0.0004357342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0007581827,0.00003008223,0.0001332006,0.0001019375,0.00001878579,0.0001283303,0.998013,0.0000632343,0.0007531697],"genre_scores_gemma":[0.04730451,0.0003797022,0.00343365,0.0009241712,0.0001845448,0.006710789,0.9213171,0.0003228992,0.01942265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7648295,"threshold_uncertainty_score":0.3354422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05270155179774948,"score_gpt":0.3256802328358475,"score_spread":0.272978681038098,"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."}}