{"id":"W4406223044","doi":"10.1002/alz.093796","title":"Development and Validation of Natural Language Processing (NLP)‐Based Risk Prediction Model for Cognitive Impairment in Geriatric Patients","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Language impairment; Cognitive impairment; Natural language processing; Artificial intelligence; Cognition; Computer science; Psychology; Developmental psychology; Neuroscience","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":[0.001980627,0.0009441256,0.0006464312,0.001147367,0.0003651905,0.0008695158,0.0008134999,0.0007685184,0.001675095],"category_scores_gemma":[0.00397595,0.0002763557,0.0009695945,0.0004308223,0.0002032657,0.0005274143,0.0005962012,0.001141518,0.0006027205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081313,"about_ca_system_score_gemma":0.001553108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01857801,"about_ca_topic_score_gemma":0.00985999,"domain_scores_codex":[0.9995087,0.0001425835,0.00005799405,0.0001726337,0.00006093278,0.00005713055],"domain_scores_gemma":[0.9985098,0.0009405355,0.00007806456,0.00005232941,0.0003693597,0.00004984315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008490866,0.001591593,0.123004,0.0001892389,0.0005188927,0.0009311617,0.0002585042,0.5990117,0.00439601,0.0008483739,0.007338305,0.2610632],"study_design_scores_gemma":[0.00001018785,0.00004538443,0.002712251,0.000009732059,0.00002216193,0.00002648596,0.00001551106,0.9964414,0.0003528916,0.0002451566,0.0001140733,0.000004756616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7411227,0.0008017562,0.2468854,0.001474378,0.0002132464,0.0006108888,0.003124267,0.00324852,0.00251876],"genre_scores_gemma":[0.9556848,0.0001365206,0.04069489,0.0001643948,0.00003916209,0.0002809741,0.002123784,0.00002434205,0.0008510835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01857801,"threshold_uncertainty_score":0.03693974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07355722728517951,"score_gpt":0.4125980395598922,"score_spread":0.3390408122747127,"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."}}