{"id":"W4405966877","doi":"10.1093/geroni/igae098.3963","title":"EFRAILTY.ORG: ANALYSIS OF INITIAL USERS","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006711072,0.0004641858,0.0006121233,0.005420297,0.001185706,0.003551002,0.001047877,0.0007773652,0.00604061],"category_scores_gemma":[0.04536828,0.0003584672,0.0009522734,0.003754988,0.0006957213,0.003727123,0.002254765,0.001428995,0.004216449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246838,"about_ca_system_score_gemma":0.0009850633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202126,"about_ca_topic_score_gemma":0.008416443,"domain_scores_codex":[0.99247,0.002000815,0.0008652007,0.000687609,0.002962152,0.001014123],"domain_scores_gemma":[0.9402158,0.02663438,0.01033163,0.002763608,0.01616258,0.003891945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007255734,0.0003055735,0.9397578,0.000309513,0.0001011099,0.0002271735,0.008441928,0.00017127,0.0004797289,0.0002078103,0.01216563,0.03710691],"study_design_scores_gemma":[0.00003150736,0.0003409428,0.9746187,0.0002304175,0.00006336885,0.000651836,0.01141687,0.002023035,0.0007634035,0.0001175768,0.009618696,0.0001235624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800302,0.0005538255,0.0006546959,0.0004051749,0.00003423407,0.0003163479,0.01262474,0.0002620541,0.005118713],"genre_scores_gemma":[0.9855274,0.0003193672,0.001155135,0.0003200782,0.00004600968,0.0006211814,0.008742148,0.0001748972,0.003093762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01202126,"threshold_uncertainty_score":0.03549194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06274540962962889,"score_gpt":0.3607894701615565,"score_spread":0.2980440605319277,"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."}}