{"id":"W7084062834","doi":"10.6084/m9.figshare.30039084.v1","title":"Additional file 3 of The metabolic signature of salt intake: a cross-sectional analysis from the SCAPIS-study","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Magnetic and transport properties of perovskites and related materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Signature (topology); Salt (chemistry); Identification (biology); Statistical analysis","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":[0.001456563,0.001071971,0.001508162,0.001921584,0.000774926,0.001543702,0.001881224,0.00129425,0.7632275],"category_scores_gemma":[0.02238053,0.0006672226,0.001418533,0.00275922,0.0002670382,0.001238555,0.001009289,0.0007092897,0.1060433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006102017,"about_ca_system_score_gemma":0.001424141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060597,"about_ca_topic_score_gemma":0.01716225,"domain_scores_codex":[0.9993383,0.0001270175,0.0001327291,0.0001854596,0.000115175,0.000101241],"domain_scores_gemma":[0.9866107,0.009799022,0.00120869,0.0007923138,0.001191822,0.0003975079],"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":[0.001700451,0.0002892278,0.02152706,0.008894316,0.000574002,0.0002554877,0.0002827602,0.0008306443,0.0003136908,0.0009567617,0.941322,0.02305363],"study_design_scores_gemma":[0.01160606,0.001020016,0.2520104,0.008693988,0.001616562,0.001833387,0.001725584,0.003139122,0.001578527,0.01569532,0.7006293,0.0004517307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0006835444,0.00003087951,0.0002566803,0.00005174116,0.0000165791,0.00008162985,0.998127,0.0001689095,0.0005829854],"genre_scores_gemma":[0.03256627,0.0003145909,0.00784311,0.0007984164,0.0001808401,0.004406863,0.9381543,0.0010794,0.01465626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7632275,"threshold_uncertainty_score":0.3377272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217508551750504,"score_gpt":0.231737207949484,"score_spread":0.219562122431979,"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."}}