{"id":"W4375951830","doi":"10.51731/cjht.2023.638","title":"Objective Assessment System for Cognitive Function","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Rehabilitation; Service (business); Function (biology); Horizon; Time horizon; Knowledge management; Information technology; Health care; Computer science; Medicine; Business; Marketing; Political science; Physical therapy","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004039121,0.001117759,0.0008812904,0.004856673,0.0005590186,0.001865474,0.001082611,0.0007645262,0.05405422],"category_scores_gemma":[0.01848419,0.0003159202,0.0008952125,0.002129645,0.0002528144,0.001368697,0.001977709,0.0008467239,0.02733908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562843,"about_ca_system_score_gemma":0.003619301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02316985,"about_ca_topic_score_gemma":0.02321877,"domain_scores_codex":[0.9966534,0.00063895,0.0007154993,0.0004183885,0.001401335,0.0001724159],"domain_scores_gemma":[0.9881224,0.002548832,0.0009776106,0.0007517764,0.007220448,0.0003788824],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001670061,0.0004710237,0.05003837,0.001833051,0.0002550953,0.0001559282,0.00107975,0.001574303,0.003780008,0.008938418,0.2745177,0.6556863],"study_design_scores_gemma":[0.0007843182,0.001083278,0.2513961,0.001841316,0.0004286506,0.0008351587,0.001159566,0.01912579,0.01077295,0.0124038,0.6996695,0.0004995905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.06393114,0.00219513,0.1830811,0.001649538,0.0007556296,0.01553303,0.4537295,0.04543114,0.2336938],"genre_scores_gemma":[0.2705533,0.002351886,0.2804387,0.002285185,0.0003722132,0.03366569,0.2657271,0.004105781,0.1405002],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9959609,"threshold_uncertainty_score":0.1808294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1668676505465402,"score_gpt":0.4814488522793862,"score_spread":0.314581201732846,"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."}}