{"id":"W2158567074","doi":"10.1093/geronb/gbr038","title":"An Evaluation of Analytical Approaches for Understanding Change in Cognition in the Context of Aging and Health","year":2011,"lang":"en","type":"article","venue":"The Journals of Gerontology Series B","topic":"Mental Health Research Topics","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Medical Research Council; National Institute on Aging; National Institutes of Health","keywords":"Cognition; Operationalization; Interdependence; Context (archaeology); Psychology; Cognitive psychology; Construct (python library); Inference; Cognitive science; Computer science; Sociology; Epistemology; Artificial intelligence","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":[0.00887164,0.00005660451,0.0002541027,0.0001462541,0.00005030949,0.000002673606,0.0001427909,0.00006014745,0.00007599083],"category_scores_gemma":[0.00006623231,0.00003692261,0.00002184933,0.00009699993,0.0003192859,0.0001233751,0.00001478199,0.0001552957,1.141151e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007351961,"about_ca_system_score_gemma":0.00004930495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193569,"about_ca_topic_score_gemma":0.008814221,"domain_scores_codex":[0.9977617,0.001291304,0.000451998,0.00009202499,0.0001940651,0.0002089195],"domain_scores_gemma":[0.9991786,0.0002517343,0.0003170733,0.0001531198,0.00006653015,0.0000329664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002685258,0.001045955,0.1796918,0.0007803222,0.0001594327,0.000003554642,0.448584,0.00000384844,0.00009123325,0.2317828,0.0001562319,0.1350156],"study_design_scores_gemma":[0.0022176,0.001943683,0.7185898,0.0001927893,0.00004968048,0.00005884367,0.2278931,0.00185327,0.0001993432,0.04693177,0.000008738829,0.00006143261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853436,0.00337335,0.0004841172,0.008651591,0.00006718314,0.001053035,0.00001118882,0.000001681926,0.001014269],"genre_scores_gemma":[0.9993679,0.000178283,0.0001219513,0.0002455381,0.00002147692,0.00005470902,0.000003035826,0.000004382535,0.00000271163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.538898,"threshold_uncertainty_score":0.4918542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8612972759548135,"score_gpt":0.5671656775753602,"score_spread":0.2941315983794534,"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."}}