{"id":"W4392605524","doi":"10.12927/hcpap.2024.27272","title":"Human Factor Health Data Interoperability","year":2024,"lang":"en","type":"letter","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Canadian Institute for Health Information; Alberta Innovates; University of Calgary; Canada Health Infoway; University of Alberta; Institute of Health Economics","funders":"","keywords":"Interoperability; Lagging; Cross-domain interoperability; Business; Computer science; Knowledge management; Data science; World Wide Web; Semantic interoperability; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03472908,0.0007119448,0.001178812,0.001116561,0.01640303,0.01256246,0.00486497,0.07211524,0.01293351],"category_scores_gemma":[0.08293239,0.001091559,0.001632279,0.001336623,0.01959761,0.007740155,0.007489011,0.05832499,0.005848799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03575488,"about_ca_system_score_gemma":0.1147226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3069175,"about_ca_topic_score_gemma":0.3570441,"domain_scores_codex":[0.9573715,0.01236382,0.003188725,0.004296564,0.01649889,0.006280464],"domain_scores_gemma":[0.9105334,0.05261953,0.002382324,0.004452778,0.02028021,0.009731764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002740942,0.00002452093,0.0007619851,0.00006897315,0.00001264583,0.000827471,0.001142678,0.0001163405,0.0002014983,0.06943934,0.9126869,0.01469027],"study_design_scores_gemma":[0.00002575799,0.00002233018,0.000590304,0.0002955869,0.000009974366,0.000397206,0.0008583861,0.0003458234,0.0001440889,0.02320177,0.9740604,0.00004831167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.000283955,0.0007274809,0.0004605428,0.978474,0.00311215,0.00004005551,0.00006310878,0.00002475687,0.01681398],"genre_scores_gemma":[0.005367695,0.0004587735,0.0007239225,0.9746355,0.002569271,0.00006536731,0.00003958041,0.00002501183,0.01611497],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3069175,"threshold_uncertainty_score":0.6102622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6707204687868022,"score_gpt":0.5961871580295746,"score_spread":0.07453331075722769,"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."}}