{"id":"W4289965372","doi":"10.1080/09602011.2022.2107020","title":"Early mobile app training proficiency predicts how well memory-impaired individuals learn to use digital memory aids in the real world","year":2022,"lang":"en","type":"article","venue":"Neuropsychological Rehabilitation","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"","keywords":"Generalization; Acquired brain injury; Psychology; Prospective memory; Physical medicine and rehabilitation; Rehabilitation; Cognitive training; Cognitive rehabilitation therapy; Cognition; Audiology; Cognitive psychology; Medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001856855,0.0003025506,0.0003318632,0.0005851029,0.0003979025,0.0002254018,0.0005512062,0.0001024868,0.001061664],"category_scores_gemma":[0.001841822,0.0002397257,0.0001979281,0.002082665,0.0002653786,0.0003929847,0.0001756928,0.0009651675,0.000216852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115552,"about_ca_system_score_gemma":0.00004808836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007160836,"about_ca_topic_score_gemma":0.00002118141,"domain_scores_codex":[0.9950268,0.00188551,0.000541284,0.00108928,0.0007493295,0.0007078173],"domain_scores_gemma":[0.9957045,0.003124563,0.0001697472,0.0007085065,0.0001104324,0.000182262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002589141,0.006284026,0.3905852,0.00003659305,0.00006901495,0.0003166168,0.1260437,0.001054359,0.002287411,0.003272986,0.01617105,0.45129],"study_design_scores_gemma":[0.001220287,0.007979891,0.9406174,0.00001174947,0.00001912947,0.00002096586,0.0303433,0.00001322664,0.000002047139,0.0006456305,0.01887002,0.0002563108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590173,0.00001918947,0.0001472095,0.001712502,0.001200457,0.002623875,0.000108104,0.0002361624,0.03493523],"genre_scores_gemma":[0.9872045,0.000001596595,0.0002377345,0.001685829,0.0001490221,0.002943155,0.00005716815,0.00004345029,0.007677545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5500323,"threshold_uncertainty_score":0.9998515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04721658924141945,"score_gpt":0.3116155555467804,"score_spread":0.2643989663053609,"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."}}