{"id":"W4412948465","doi":"10.1007/978-3-031-87031-6_7","title":"Staying Connected for Cognitive Stimulation","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on technology and health","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stimulation; Psychology; Cognitive psychology; Cognition; Computer science; Cognitive science; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003282655,0.0008639885,0.0004398796,0.0006469008,0.001232124,0.0027561,0.000915592,0.001643887,0.1459734],"category_scores_gemma":[0.0006809579,0.0001673472,0.0004691932,0.0005313762,0.0009436512,0.003023723,0.002043488,0.002670838,0.04882501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008664069,"about_ca_system_score_gemma":0.000744897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008207967,"about_ca_topic_score_gemma":0.003127234,"domain_scores_codex":[0.999826,0.00003472172,0.000004737668,0.00002730136,0.00008309569,0.0000241328],"domain_scores_gemma":[0.9998211,0.00007331538,0.00000725138,0.00001750467,0.00003321876,0.00004757066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004237589,0.00006465668,0.00004164584,0.0003019189,0.000005613761,0.0001271621,0.0009349775,0.0001579743,0.001446114,0.07059196,0.6611378,0.2651479],"study_design_scores_gemma":[0.000004073519,0.0000229046,0.0001495388,0.0001294398,0.000002133272,0.0001633245,0.0002494423,0.00004888762,0.0001430809,0.009410817,0.9896721,0.000004299008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008490919,0.01944156,0.006600583,0.006264206,0.01203174,0.00005682019,0.0001182048,0.0003192622,0.9543185],"genre_scores_gemma":[0.002676644,0.003622691,0.00109412,0.001540485,0.0009267793,0.00002951908,0.00005820969,0.00009582131,0.9899558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1459734,"threshold_uncertainty_score":0.4883296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601037690141157,"score_gpt":0.3658465576877399,"score_spread":0.3298361807863284,"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."}}