{"id":"W4405961558","doi":"10.1093/geroni/igae098.1133","title":"USING MICRO-CREDENTIAL TO ADVANCE LONG-TERM CARE STAFF EXPERTISE IN PALLIATIVE CARE FOR PEOPLE WITH DEMENTIA","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Credential; Dementia; Palliative care; Term (time); Long-term care; Medicine; Nursing; Psychology; Computer security; 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":[0.001752198,0.0002825435,0.0001737847,0.0002783309,0.0004317326,0.0006794785,0.0006431938,0.0002649738,0.006757819],"category_scores_gemma":[0.004819044,0.00009012024,0.0002657548,0.0001441952,0.0004297143,0.0005406332,0.001782253,0.0004041891,0.0007308216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009517146,"about_ca_system_score_gemma":0.002440468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004674806,"about_ca_topic_score_gemma":0.0218351,"domain_scores_codex":[0.9991534,0.0004204932,0.0000406565,0.00005755289,0.000185737,0.0001422665],"domain_scores_gemma":[0.9978998,0.0008001791,0.0001675879,0.000162448,0.0002124141,0.0007575582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008939629,0.01009165,0.08259326,0.001638585,0.00005218342,0.0009269602,0.01768971,0.003682888,0.01086611,0.0008436657,0.008317892,0.8624032],"study_design_scores_gemma":[0.001026691,0.0256278,0.6807141,0.003795322,0.0002052419,0.003774623,0.03947043,0.01972622,0.02357527,0.005802915,0.1959449,0.0003364784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785517,0.0003221568,0.004590825,0.0007051897,0.00004887084,0.0006843528,0.0001054502,0.0002843469,0.01470708],"genre_scores_gemma":[0.97994,0.0003127582,0.01615373,0.0001678917,0.00001080906,0.0002736587,0.00007311076,0.000004779,0.003063147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006757819,"threshold_uncertainty_score":0.02260721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368971415997449,"score_gpt":0.4276182225006827,"score_spread":0.3839285083407082,"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."}}