{"id":"W4285340356","doi":"10.2196/34568","title":"Evaluation of a Health Information Exchange System for Geriatric Health Care in Rural Areas: Development and Technical Acceptance Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geriatric care; Health care; Nursing; Medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03705117,0.0007739548,0.0007653619,0.001782352,0.0009129964,0.001519015,0.001021431,0.0008301495,0.002094827],"category_scores_gemma":[0.05235113,0.0004714091,0.0009952494,0.0009869561,0.0007340442,0.001905853,0.001824846,0.000815444,0.0003562837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168256,"about_ca_system_score_gemma":0.003955961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052655,"about_ca_topic_score_gemma":0.002503812,"domain_scores_codex":[0.9848541,0.01134711,0.0007710067,0.0006684264,0.001590754,0.0007686515],"domain_scores_gemma":[0.9629301,0.02270854,0.002442044,0.001676371,0.007888618,0.002354322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004277738,0.06228214,0.2884602,0.004728197,0.0004639268,0.00308731,0.2055022,0.002226592,0.02097978,0.001240017,0.002831098,0.4039208],"study_design_scores_gemma":[0.003015696,0.1365401,0.6726934,0.001374603,0.000926575,0.001711045,0.1397338,0.01198926,0.01297147,0.0004508436,0.01833188,0.0002613437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956492,0.00004593057,0.001232967,0.0001028193,0.000007299897,0.001945513,0.00005360965,0.00003059043,0.0009320529],"genre_scores_gemma":[0.9810156,0.0002989625,0.01450859,0.0001513699,0.00001963395,0.00289632,0.0002100373,0.00003056588,0.0008690631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03705117,"threshold_uncertainty_score":0.1959476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09357636255255533,"score_gpt":0.4597174420252156,"score_spread":0.3661410794726603,"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."}}