{"id":"W4409251341","doi":"10.1055/s-0044-1800717","title":"Precision and Virtual Care","year":2024,"lang":"en","type":"article","venue":"Yearbook of Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Context (archaeology); Virtual patient; Virtual machine; Emerging technologies; Software; Human–computer interaction; Risk analysis (engineering); Medicine; Nursing; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.012879,0.0006798552,0.0006288352,0.002646338,0.0046781,0.02087,0.001751874,0.005730293,0.01060456],"category_scores_gemma":[0.02768416,0.0004854722,0.0007730894,0.00241319,0.03312388,0.01543478,0.01537794,0.006408759,0.001321818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009477267,"about_ca_system_score_gemma":0.007603458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00343126,"about_ca_topic_score_gemma":0.002511152,"domain_scores_codex":[0.9778079,0.01296529,0.0008847663,0.001566106,0.005591936,0.00118403],"domain_scores_gemma":[0.9796706,0.01446745,0.001489359,0.002303834,0.0009561778,0.001112646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001039756,0.00001233721,0.0004382741,0.0001558356,0.00000938786,0.00009583867,0.00380676,0.0005295681,0.00006853051,0.9523363,0.00538833,0.03714845],"study_design_scores_gemma":[0.00001830965,0.00008632981,0.001053204,0.001173723,0.00001807864,0.0009531289,0.00457964,0.0009324074,0.0002494101,0.7091147,0.2817782,0.00004290829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0171905,0.05654069,0.1714782,0.1449443,0.003065698,0.0002512439,0.0001234615,0.0003671506,0.6060388],"genre_scores_gemma":[0.8079938,0.03437763,0.09253138,0.02141447,0.00289436,0.0005118305,0.0001403109,0.000170636,0.03996569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02087,"threshold_uncertainty_score":0.06876272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221567450818568,"score_gpt":0.3663464541125681,"score_spread":0.3441897090307112,"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."}}