{"id":"W4390193024","doi":"10.1002/alz.075635","title":"Proposal for Efficient Access to Cognitive Screening: using MoCA‐XpressO Pre‐screen, MoCA‐Duo Videoconference Screen, and MoCA‐Report for Post‐screen Interpretation","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Greenfield Research (Canada)","funders":"","keywords":"Montreal Cognitive Assessment; Cognition; Cognitive evaluation theory; Population; Cognitive network; Medicine; Computer science; Cognitive impairment; Cognitive radio; Telecommunications; Psychiatry; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05464265,0.001378408,0.001060424,0.005353555,0.0007449187,0.002988518,0.003457596,0.002053445,0.007191116],"category_scores_gemma":[0.07622103,0.001032925,0.001954401,0.002810104,0.0008892887,0.00296126,0.002731702,0.002217738,0.004433546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184735,"about_ca_system_score_gemma":0.007553165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005793396,"about_ca_topic_score_gemma":0.004092537,"domain_scores_codex":[0.9801489,0.01232828,0.002113643,0.001938623,0.002584532,0.0008859268],"domain_scores_gemma":[0.9473463,0.02086451,0.003028645,0.005607378,0.02050447,0.002648798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003174421,0.002344727,0.09354883,0.001906442,0.0004201507,0.0007204506,0.001826021,0.002841539,0.00939655,0.006753471,0.06672306,0.8103444],"study_design_scores_gemma":[0.007060491,0.01155292,0.3333945,0.007589689,0.002607678,0.004846449,0.005428724,0.1368196,0.07661412,0.02969435,0.382475,0.00191655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06854346,0.00173618,0.8370718,0.01494939,0.002434188,0.04024099,0.006489585,0.01622077,0.0123136],"genre_scores_gemma":[0.07059868,0.0006037704,0.8995214,0.001581223,0.00055168,0.01901658,0.004480394,0.0006026319,0.003043658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05464265,"threshold_uncertainty_score":0.2889814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06887602288794199,"score_gpt":0.3921252937995321,"score_spread":0.3232492709115901,"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."}}