{"id":"W2750693698","doi":"10.5152/npa.2017.19331","title":"Adaptation and Norm Determination Study of the Boston Naming Test for Tukish Elderlys","year":2017,"lang":"en","type":"article","venue":"Nöro Psikiyatri Arşivi","topic":"Health and Well-being Studies","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Normative; Turkish; Multivariate analysis of variance; Psychology; Geriatric Depression Scale; Test (biology); Gerontology; Factorial analysis; Clinical psychology; Boston Naming Test; Norm (philosophy); Population; Medicine; Cognition; Neuropsychology; Psychiatry; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004563337,0.0001181055,0.0001973721,0.00005524844,0.0008138758,0.00004324442,0.0002216448,0.00007866528,0.000009170244],"category_scores_gemma":[0.0006355401,0.00009089366,0.00004812841,0.0000504413,0.00008125917,0.0001212721,0.00006920666,0.00010967,0.000005926281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002404386,"about_ca_system_score_gemma":0.00002778402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006418055,"about_ca_topic_score_gemma":0.001387796,"domain_scores_codex":[0.9990003,0.00006492642,0.0002898746,0.000250586,0.0001466471,0.0002476364],"domain_scores_gemma":[0.9985936,0.0004314829,0.0003531106,0.0004696513,0.0001123563,0.00003985289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001196314,0.0005878735,0.551986,0.0001559927,0.00006664728,0.000003971322,0.03428384,0.000005899194,0.0002873883,0.0005068333,0.002300934,0.409695],"study_design_scores_gemma":[0.002181041,0.0009984142,0.9865412,0.00004462692,0.00008299249,0.000004333238,0.005032783,0.000480011,0.0001388057,0.0004296464,0.003925925,0.0001402058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931626,0.0001697346,0.0003077537,0.0008509493,0.0007893222,0.001056905,0.00001399547,0.00002348484,0.003625198],"genre_scores_gemma":[0.9982371,0.00001656985,0.0001937558,0.0001310291,0.0001554937,0.0001282237,0.000002153965,0.00001551517,0.001120164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4345552,"threshold_uncertainty_score":0.6259757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05813924404839058,"score_gpt":0.3793730045968735,"score_spread":0.3212337605484828,"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."}}