{"id":"W2142033813","doi":"10.1024/1662-9647/a000045","title":"Modeling Within-Person Variance in Reaction Time Data of Older Adults","year":2011,"lang":"en","type":"article","venue":"GeroPsych","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Variance (accounting); Task (project management); Explained variation; Choice reaction time; Psychology; Analysis of variance; Statistics; Cognition; Scale (ratio); Mathematics; Engineering; Cartography; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0007412488,0.00005301327,0.0001197471,0.00004006558,0.00009145214,0.000008207819,0.0002731349,0.00007275921,0.0001355734],"category_scores_gemma":[0.00009774425,0.00005156258,0.00001536198,0.0001604874,0.00003846646,0.0002817536,0.00002288297,0.00009281955,0.0000412523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004013364,"about_ca_system_score_gemma":0.0001094922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06782196,"about_ca_topic_score_gemma":0.007128726,"domain_scores_codex":[0.9991245,0.00007615033,0.0001941368,0.0001958288,0.0001797817,0.000229644],"domain_scores_gemma":[0.9995108,0.00002669961,0.00006071217,0.0002966143,0.00004080703,0.00006434591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008300528,0.001037905,0.1038683,0.0008454873,0.00006437209,0.00002849164,0.7697106,0.0001034314,0.0003477176,0.06124121,0.007882022,0.05404041],"study_design_scores_gemma":[0.00385112,0.0001573667,0.6551888,0.002414851,0.00005483691,0.000005197784,0.1411105,0.1859781,0.00008750478,0.004283962,0.005686147,0.001181589],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672117,0.0001424873,0.0004478836,0.0008385195,0.0005949764,0.000223277,0.00001342526,0.00003495118,0.03049276],"genre_scores_gemma":[0.9972287,0.00006223905,0.001708476,0.0002743831,0.00009317044,0.000004142559,0.000007921907,0.000006433772,0.0006145012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6286001,"threshold_uncertainty_score":0.9383855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167556390419142,"score_gpt":0.3518600613142046,"score_spread":0.2351044222722904,"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."}}