{"id":"W4406224872","doi":"10.1002/alz.090025","title":"Assessment improved of cognitive impairment with artificial intelligence in the user‐web‐mobile application","year":2024,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognitive impairment; Computer science; Artificial intelligence; Cognition; Human–computer interaction; 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":[0.0008030388,0.000559231,0.0003456685,0.001339791,0.0001551669,0.0008991894,0.0004238944,0.0004942801,0.003239778],"category_scores_gemma":[0.002203762,0.000117827,0.0003529275,0.000591932,0.00009928139,0.0006313364,0.000473645,0.0002706166,0.001145525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992804,"about_ca_system_score_gemma":0.000196497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069409,"about_ca_topic_score_gemma":0.0008415551,"domain_scores_codex":[0.9994105,0.0002146536,0.00004766558,0.00009098346,0.0001969425,0.00003924777],"domain_scores_gemma":[0.9990388,0.0004053095,0.00006212306,0.0001122984,0.0003165916,0.0000649373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001819933,0.001581719,0.0532353,0.0005361048,0.0002341115,0.001198864,0.0006112089,0.01050056,0.03811581,0.001223878,0.01452185,0.8764208],"study_design_scores_gemma":[0.0001816089,0.001880877,0.2220667,0.0003470616,0.0004838093,0.002375412,0.0006180537,0.6584374,0.07972751,0.004044154,0.02961986,0.0002175762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7212754,0.00143093,0.2289438,0.0007235178,0.0001850366,0.000892077,0.002013833,0.02407427,0.02046103],"genre_scores_gemma":[0.9285449,0.0002713224,0.06592327,0.000153926,0.00005033353,0.0002461686,0.0008306677,0.0001275245,0.003851854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003239778,"threshold_uncertainty_score":0.01083815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751093365769173,"score_gpt":0.3416919478836745,"score_spread":0.3141810142259828,"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."}}