{"id":"W2910898320","doi":"10.1093/geronb/gbz003","title":"A Large-Scale Semantic Analysis of Verbal Fluency Across the Aging Spectrum: Data From the Canadian Longitudinal Study on Aging","year":2019,"lang":"en","type":"article","venue":"The Journals of Gerontology Series B","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; University of Ottawa","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation; Government of Canada","keywords":"Verbal fluency test; Psychology; Pairwise comparison; Fluency; Task (project management); Set (abstract data type); Variance (accounting); Cognitive psychology; Counterfactual thinking; Developmental psychology; Computer science; Cognition; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002448915,0.0004412002,0.0003905018,0.002760677,0.00180184,0.0007553671,0.0009375634,0.0003405519,0.001030758],"category_scores_gemma":[0.00650589,0.0001477956,0.0004628276,0.003595857,0.0005790485,0.0003761228,0.0007593561,0.0004206277,0.0002450917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004609822,"about_ca_system_score_gemma":0.006466988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9266334,"about_ca_topic_score_gemma":0.9695144,"domain_scores_codex":[0.9991973,0.0001011546,0.00005702121,0.0001550544,0.0003848303,0.0001045814],"domain_scores_gemma":[0.9940693,0.0005560787,0.0009205309,0.0004119007,0.003542844,0.000499304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001417168,0.00006177099,0.9835158,0.00005669635,0.0001095883,0.00005899965,0.001491479,0.0001871739,0.0006698603,0.0001100278,0.00121015,0.01238663],"study_design_scores_gemma":[0.000003895398,0.00002006858,0.9987341,0.00000680923,0.0000166038,0.00003434274,0.0004310905,0.0001233798,0.00008149975,0.00002572155,0.0005153839,0.000007029433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937049,0.0002126871,0.0003604392,0.00005796349,0.000006554505,0.00006180782,0.004757292,0.000009265009,0.0008290595],"genre_scores_gemma":[0.9910318,0.0002015615,0.0009729163,0.00004569777,0.000006734015,0.00006694211,0.007205554,0.000006992632,0.0004617966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07336664,"threshold_uncertainty_score":0.1475974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1575014679775107,"score_gpt":0.4459751842156995,"score_spread":0.2884737162381888,"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."}}