{"id":"W4411169858","doi":"10.1177/15691861251339211","title":"Determinants of the number of ATDs used by community-dwelling people recovering from stroke with mild cognitive impairments: A path analysis","year":2025,"lang":"en","type":"article","venue":"Hong Kong Journal of Occupational Therapy","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea","keywords":"Path analysis (statistics); Cognition; Psychology; Stroke (engine); Gerontology; Physical medicine and rehabilitation; Clinical psychology; Medicine; Psychiatry; Statistics; Mathematics","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":[0.002057973,0.0007761054,0.0004185448,0.001187113,0.0004881413,0.0008273476,0.0004089996,0.0004846837,0.004421301],"category_scores_gemma":[0.004783562,0.0004165342,0.001862956,0.001371866,0.0003798561,0.0008162432,0.001213198,0.0007616705,0.0002697334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005546173,"about_ca_system_score_gemma":0.002092449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008327662,"about_ca_topic_score_gemma":0.006214642,"domain_scores_codex":[0.9989517,0.0005659381,0.00007826098,0.0001398166,0.00009908713,0.0001651841],"domain_scores_gemma":[0.9975313,0.001279035,0.0005861865,0.0001121663,0.0002551204,0.0002362952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001006912,0.0001326516,0.9936579,0.00003333441,0.0002134905,0.00006860009,0.0004568313,0.0005246178,0.0001243815,0.0001604023,0.0001117256,0.00441537],"study_design_scores_gemma":[0.00003806846,0.0005955954,0.9858909,0.00006316961,0.0002302424,0.0002356156,0.002277744,0.009279176,0.0001395777,0.0006112207,0.0006110659,0.0000275693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983549,0.00006839092,0.0007037314,0.0001298484,0.000005802648,0.00006389189,0.0004530071,0.000009346258,0.0002111601],"genre_scores_gemma":[0.9976709,0.0001160525,0.001352874,0.00001790367,0.000002915483,0.00009178045,0.0005310118,0.000003224054,0.000213283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008327662,"threshold_uncertainty_score":0.01655841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008222936240841,"score_gpt":0.3504558085410628,"score_spread":0.3203735791786544,"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."}}