{"id":"W4390065070","doi":"10.1093/geroni/igad104.0166","title":"CASE SCENARIOS OF CANADIAN MEDIC-ALERT SUBSCRIBERS WITH DEMENTIA WHO GO MISSING","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Dementia; Missing data; Hotline; Medicine; Psychology; Engineering; Disease; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003751432,0.0007621457,0.0004158786,0.002081528,0.01988445,0.00261695,0.002664462,0.004721839,0.005994318],"category_scores_gemma":[0.01198497,0.000534963,0.0008033334,0.002537657,0.002994958,0.002086563,0.004222748,0.002713635,0.0006093599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02339038,"about_ca_system_score_gemma":0.01626163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5063134,"about_ca_topic_score_gemma":0.696585,"domain_scores_codex":[0.9951101,0.002293942,0.0002609995,0.0002254334,0.0008994014,0.001210165],"domain_scores_gemma":[0.9898184,0.00423906,0.0008590193,0.0003558213,0.002156074,0.002571609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"case_report","study_design_scores_codex":[0.0003651752,0.0004699217,0.05980688,0.0009667571,0.0000497442,0.1203082,0.7186512,0.003368536,0.001039419,0.009655634,0.05407199,0.03124648],"study_design_scores_gemma":[0.00001904067,0.0001343684,0.01293236,0.000892391,0.00002499047,0.01197806,0.9010906,0.002732412,0.0004823086,0.001750729,0.06783786,0.0001248654],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358881,0.00105421,0.003784959,0.01991519,0.000408825,0.001093744,0.001992109,0.0001221564,0.03574084],"genre_scores_gemma":[0.9870526,0.001038687,0.003816708,0.002040302,0.00006193839,0.0003540704,0.0005508086,0.00002584063,0.005059037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4936866,"threshold_uncertainty_score":0.993188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186543976518568,"score_gpt":0.3191340121458727,"score_spread":0.277268572380687,"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."}}