{"id":"W4386446505","doi":"10.21203/rs.3.rs-3311204/v1","title":"Caregiving Experiences with Health Information Management and Communication in Complex Home Care: Informing Technology Design for Caregivers of Older Adults","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Family caregivers; Context (archaeology); Information sharing; Health care; Knowledge management; Psychology; Aging in place; Nursing; Medicine; Gerontology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008987263,0.0004489271,0.0004311257,0.0008999883,0.004718013,0.0042272,0.0007756157,0.0007875433,0.001562128],"category_scores_gemma":[0.01834507,0.000337639,0.0003091393,0.0006493967,0.002952144,0.002357264,0.003455804,0.001003534,0.0001761858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004780866,"about_ca_system_score_gemma":0.006367666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02570507,"about_ca_topic_score_gemma":0.04085277,"domain_scores_codex":[0.9950802,0.003555251,0.0002852172,0.0001974805,0.0004368238,0.0004450859],"domain_scores_gemma":[0.9878764,0.007012645,0.001714253,0.0004295263,0.001458858,0.001508215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004218308,0.00009068711,0.0294062,0.0001726105,0.000008105425,0.0005225127,0.9574753,0.00003343138,0.0003122793,0.0002684829,0.0005025396,0.01116555],"study_design_scores_gemma":[0.00001001952,0.0001368213,0.01593721,0.0002676955,0.00001754729,0.0003301332,0.9755874,0.000125714,0.000256453,0.0002372085,0.007074839,0.00001892462],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957311,0.0007917266,0.000701981,0.0008249724,0.00001977714,0.00006061143,0.00002533083,0.000008420951,0.001836067],"genre_scores_gemma":[0.9980252,0.0005527219,0.0006862679,0.0001896903,0.000005569919,0.00004572351,0.00001636753,0.000003686994,0.0004748075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02570507,"threshold_uncertainty_score":0.05111092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1350329206407061,"score_gpt":0.4848250819461873,"score_spread":0.3497921613054812,"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."}}