{"id":"W4413006911","doi":"10.35643/info.30.1.11","title":"Big data, dementia prediction and knowledge organization","year":2025,"lang":"en","type":"article","venue":"Informatio","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Dementia; Big data; Data science; Computer science; Knowledge management; Psychology; Medicine; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0002328794,0.00005028173,0.00004898186,0.000122125,0.0001459389,0.0001468071,0.0004511571,0.00003620693,0.000006080661],"category_scores_gemma":[0.0001591445,0.00004923059,0.000003644911,0.0005015711,0.00001156271,0.001024269,0.0005634877,0.00008701628,0.00005154735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002121825,"about_ca_system_score_gemma":0.0001276604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003801093,"about_ca_topic_score_gemma":0.00002043209,"domain_scores_codex":[0.999503,0.00002789498,0.0001900105,0.0001115834,0.00007894137,0.0000885707],"domain_scores_gemma":[0.9993129,0.00003554038,0.00005366839,0.0004577137,0.0001120082,0.00002821778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001252756,0.00001666262,0.150122,0.0002928827,0.00002941075,3.354786e-7,0.004264166,0.000176236,0.00001765873,0.05123406,0.02321579,0.7706295],"study_design_scores_gemma":[0.0002997656,0.00002481138,0.245908,0.0000586987,0.00001108249,0.000007817363,0.00005685342,0.5626501,0.0001363988,0.0006386598,0.1901074,0.0001003941],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01261683,0.0002875162,0.9652727,0.001536993,0.001272434,0.000180855,0.000009893836,0.0003591696,0.01846362],"genre_scores_gemma":[0.9889243,0.00002709684,0.00999622,0.0005347349,0.00007494962,0.000004227824,0.000133856,0.000003307142,0.0003013333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9763075,"threshold_uncertainty_score":0.2007565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574233217063276,"score_gpt":0.2831828210117283,"score_spread":0.2574404888410955,"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."}}