{"id":"W4390065732","doi":"10.1093/geroni/igad104.0236","title":"MEASURING COGNITION IN NSHAP USING MULTIMODE DATA COLLECTION","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Phone; Psychology; Montreal Cognitive Assessment; Mode (computer interface); Presentation (obstetrics); Applied psychology; Data collection; Focus group; Affect (linguistics); Gerontology; Computer science; Medicine; Cognitive impairment; Communication; Psychiatry; Human–computer interaction; Statistics","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":[0.01018398,0.0007031317,0.0006090277,0.00328166,0.001471758,0.002427989,0.001279764,0.0006391829,0.003080101],"category_scores_gemma":[0.02401617,0.0003814349,0.0009993955,0.006893532,0.0004455604,0.001276247,0.003854615,0.001254195,0.0009033508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702878,"about_ca_system_score_gemma":0.002927941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02816213,"about_ca_topic_score_gemma":0.0520409,"domain_scores_codex":[0.992094,0.003134915,0.001175506,0.001209067,0.001848108,0.0005384138],"domain_scores_gemma":[0.984857,0.003643585,0.002564245,0.002201836,0.006115439,0.0006179182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001915593,0.0008823551,0.8352646,0.0003979621,0.000620482,0.00014195,0.005895844,0.001639356,0.0009808738,0.001478575,0.01060335,0.1419031],"study_design_scores_gemma":[0.00003610094,0.0004365801,0.9755226,0.0001441986,0.00007514394,0.00008463862,0.004364207,0.003179926,0.001121927,0.00139512,0.01359221,0.00004726288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.889442,0.0002720752,0.04588421,0.0005760451,0.0001586373,0.007478753,0.04252198,0.0005216021,0.01314463],"genre_scores_gemma":[0.8390446,0.0004101305,0.1044282,0.0005924022,0.00009934713,0.02638652,0.02598699,0.0001069942,0.002944872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02816213,"threshold_uncertainty_score":0.05599642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3483202626521294,"score_gpt":0.4429374110845567,"score_spread":0.0946171484324273,"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."}}