{"id":"W6958636863","doi":"10.6084/m9.figshare.19494073","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":"Survey Methodology and Nonresponse","field":"Social Sciences","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005334136,0.00003255045,0.00010485,0.0001304232,0.0003547654,0.00000455567,0.00008911495,0.00002870158,0.9029171],"category_scores_gemma":[0.05630872,0.00003757126,0.00002640533,0.0003638405,0.00001435007,0.00008127485,0.00004515905,0.0000585273,0.00000220001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002799626,"about_ca_system_score_gemma":0.0003077632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003125461,"about_ca_topic_score_gemma":0.0004781091,"domain_scores_codex":[0.9906902,0.008808796,0.0001100411,0.000101766,0.0001923281,0.00009690362],"domain_scores_gemma":[0.9674754,0.03218739,0.0001730634,0.0000437682,0.00007659403,0.00004374166],"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":[0.00009025235,0.00002948188,0.000219663,0.00002081847,0.00001133645,2.170767e-7,0.002866615,0.000007896197,3.406989e-7,0.00001674036,0.9822874,0.01444925],"study_design_scores_gemma":[0.0001443052,0.0002579253,0.8628967,0.00007122091,0.000002376257,8.707135e-7,0.003766032,0.00002508204,0.00001140028,0.0003184268,0.1324394,0.00006633777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002740458,0.00005737262,0.000002330119,0.00002019834,0.00002123031,0.0001564768,0.9968525,0.000008848289,0.0001406357],"genre_scores_gemma":[0.0422885,2.852159e-7,0.001615567,0.00005671969,0.00003638226,0.0003433313,0.955515,0.000003783802,0.000140375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9029149,"threshold_uncertainty_score":0.9516404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.287608354023332,"score_gpt":0.4445301378915316,"score_spread":0.1569217838681996,"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."}}