{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002106619,0.0009741473,0.0008426263,0.001869588,0.000612884,0.001174364,0.001584877,0.0008715808,0.8368744],"category_scores_gemma":[0.03312,0.0005022762,0.0006648527,0.003737176,0.0001996598,0.001316602,0.0009471523,0.0008981567,0.1618675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008116129,"about_ca_system_score_gemma":0.001422816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009402147,"about_ca_topic_score_gemma":0.01582628,"domain_scores_codex":[0.9992039,0.000236492,0.0001170346,0.000174703,0.0001826376,0.00008531975],"domain_scores_gemma":[0.9764462,0.01861135,0.000904264,0.001157758,0.002548623,0.0003319565],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008347962,0.00005676536,0.002757306,0.00109302,0.00003240153,0.00002232856,0.00004536073,0.000726983,0.00004261909,0.001161626,0.9837572,0.01022074],"study_design_scores_gemma":[0.00152243,0.0002236372,0.03264084,0.002401603,0.0002252272,0.0003771142,0.0004766613,0.004887614,0.0006081449,0.01651253,0.939989,0.0001350245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0001870061,0.00001621698,0.001023121,0.0000642181,0.00002345317,0.00007189075,0.9970066,0.0002209942,0.001386617],"genre_scores_gemma":[0.01418417,0.0001838469,0.01023581,0.000519354,0.0001198334,0.002105696,0.9566994,0.00135817,0.01459378],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9978934,"threshold_uncertainty_score":0.2326788,"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."}}