{"id":"W6977183531","doi":"10.6084/m9.figshare.23731159","title":"Screening for post-stroke neurocognitive disorders in diverse populations: A systematic review","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Science and Technology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurocognitive; Cognition; Montreal Cognitive Assessment; Population; Adaptation (eye); Cognitive impairment; Cultural diversity; Culturally sensitive","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":[0.00003717295,0.00006760968,0.00009213253,0.00003614384,0.00003166329,0.00001288205,0.000106,0.00005370079,0.0008724631],"category_scores_gemma":[0.0003919238,0.00005944229,0.00006875915,0.00007537266,0.000007436765,0.000006359145,0.00007839548,0.00004529127,0.00008858495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007076218,"about_ca_system_score_gemma":0.000008925196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003589282,"about_ca_topic_score_gemma":0.00008328569,"domain_scores_codex":[0.999508,0.00001617709,0.0001102873,0.0001978699,0.00005018528,0.0001175221],"domain_scores_gemma":[0.9998277,0.00001460039,0.000024776,0.0001046647,0.000009156207,0.00001911811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008800802,0.0003967387,0.002624579,0.7158676,0.0003488736,0.0001122068,0.0003253557,0.00009608828,0.08907906,0.0004060858,0.1209408,0.06971455],"study_design_scores_gemma":[0.001433192,0.001634143,0.005098742,0.8927903,0.0004121086,0.0001090449,0.001310639,0.003556895,0.01651019,0.0006760772,0.0747405,0.001728138],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04049674,0.3174119,0.001416401,0.003586258,0.0004294968,0.02020144,0.6126239,0.0004177729,0.00341602],"genre_scores_gemma":[0.9098037,0.0006532907,0.0003122813,0.001356304,0.00004417052,0.00200112,0.08525707,0.00002561695,0.0005463795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.869307,"threshold_uncertainty_score":0.9552859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213213996844145,"score_gpt":0.2958291212406635,"score_spread":0.263696981272222,"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."}}