{"id":"W6920542631","doi":"10.6084/m9.figshare.19494073.v1","title":"Additional file 1 of An objective metric of individual health and aging for population surveys","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Metric (unit); Population; Table (database); Metric system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009604143,0.00004335939,0.00008688439,0.0001403296,0.0000580771,0.000005139773,0.00004192387,0.00001305982,0.7016911],"category_scores_gemma":[0.000402074,0.000051721,0.00002157786,0.0001523473,0.000001095059,0.0000647691,0.00002995381,0.00004943697,0.000001929533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002577249,"about_ca_system_score_gemma":0.00002775543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007166749,"about_ca_topic_score_gemma":0.000006809717,"domain_scores_codex":[0.9995528,0.00005252904,0.0001328723,0.00007295602,0.0001210421,0.00006779346],"domain_scores_gemma":[0.9994801,0.000330056,0.00006703435,0.00004562268,0.00004476939,0.00003247784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002115335,0.00001467396,0.000005591477,0.0002636551,0.00002011772,1.012908e-7,0.0003160743,0.01466629,0.00001888726,0.000001223167,0.9526843,0.03200693],"study_design_scores_gemma":[0.001257943,0.001008439,0.05080504,0.001474568,0.00002049624,0.0000167973,0.00155487,0.8345621,0.003020325,0.0004488562,0.1051367,0.0006938837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007075051,0.00008696584,0.0003558187,0.000001653174,0.00001124698,0.0001373179,0.9986099,0.00002515957,0.0000644262],"genre_scores_gemma":[0.231622,2.706571e-7,0.001597821,0.00001503097,0.00001434204,0.0002721604,0.7664582,0.000008779241,0.00001142653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8475476,"threshold_uncertainty_score":0.2985816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943971165732097,"score_gpt":0.2619506706948737,"score_spread":0.2125109590375527,"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."}}