{"id":"W2491829661","doi":"10.1186/s12877-016-0314-2","title":"Predicting the role of assistive technologies in the lives of people with dementia using objective care recipient factors","year":2016,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Memorial University of Newfoundland","funders":"Alzheimer Society Research Program; Alzheimer Society","keywords":"Dementia; Gerontology; Residence; Activities of daily living; Medicine; Marital status; Ethnic group; Independent living; Logistic regression; Population; Scale (ratio); Set (abstract data type); Psychiatry; Demography; Computer science; Environmental health; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003366366,0.000108861,0.0001967402,0.0001718244,0.00007593963,0.000009872734,0.000172701,0.00004683219,0.00001444325],"category_scores_gemma":[0.000446848,0.00004377233,0.0000632002,0.0006034161,0.000156229,0.00006120678,0.0001083011,0.0001170305,5.617509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000665358,"about_ca_system_score_gemma":0.0001970096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002052259,"about_ca_topic_score_gemma":0.0001965631,"domain_scores_codex":[0.9988106,0.0001236712,0.0002218713,0.0001741283,0.0004521197,0.0002176005],"domain_scores_gemma":[0.9987918,0.0004682943,0.0001825451,0.0002315188,0.0003082932,0.00001757101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001642971,0.00009942914,0.9855804,0.00006842028,0.00007063212,0.000001642829,0.007049378,0.000003341249,0.004131967,0.00002962175,0.00000169923,0.002799198],"study_design_scores_gemma":[0.0006355307,0.0004926887,0.7721736,0.0001359834,0.0001753607,0.000004001595,0.1935151,0.00003065878,0.03272161,0.00005291932,0.00001422336,0.00004839305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996355,0.001075676,0.0007622452,0.00004431737,0.00002870008,0.000695622,0.00002325003,0.00002021065,0.0009950022],"genre_scores_gemma":[0.999343,0.00007775422,0.0005001729,0.000002817492,0.00001807723,0.00003537428,0.000003070387,0.000009205651,0.00001048487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134068,"threshold_uncertainty_score":0.1784984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709450943561552,"score_gpt":0.2748979175776763,"score_spread":0.2578034081420608,"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."}}