{"id":"W4390942802","doi":"10.5334/ijic.icic23710","title":"The Translational Work of Interoperability: Digital Health and Data Enabling Integrated Care Special Interest Group Workshop","year":2023,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Interoperability; Integrated care; Health care; Knowledge management; Public relations; Semantic interoperability; Computer science; Political science; World Wide Web","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":[0.02969188,0.001662917,0.0007329744,0.001011804,0.005868737,0.01413417,0.003795779,0.008732571,0.02019647],"category_scores_gemma":[0.01269646,0.00062952,0.002259318,0.0009424112,0.003887638,0.005904874,0.01435589,0.01799857,0.008749171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00732601,"about_ca_system_score_gemma":0.01905471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003852951,"about_ca_topic_score_gemma":0.006058716,"domain_scores_codex":[0.9907759,0.0045548,0.0003031814,0.0008877082,0.001675752,0.001802708],"domain_scores_gemma":[0.9837519,0.002701438,0.00025725,0.0005382042,0.003405128,0.009346069],"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":[0.0002062252,0.0003632742,0.0005829141,0.0006871519,0.00004741352,0.001013739,0.01042488,0.0005695323,0.001758907,0.01518586,0.926414,0.04274617],"study_design_scores_gemma":[0.00003797677,0.0001325329,0.0006313715,0.0004898877,0.00001476646,0.0001878882,0.007515936,0.000336475,0.0006229586,0.006251035,0.9837247,0.00005447803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01508632,0.01178786,0.03323876,0.5623372,0.2786786,0.00249138,0.001607268,0.0009646287,0.09380811],"genre_scores_gemma":[0.2122492,0.02570571,0.04113581,0.1860961,0.1085478,0.006889912,0.005666909,0.001786139,0.4119224],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02969188,"threshold_uncertainty_score":0.1570275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1767682346502444,"score_gpt":0.4278956609239273,"score_spread":0.2511274262736829,"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."}}