{"id":"W4254402726","doi":"10.36227/techrxiv.11288843","title":"Pragmatic Interoperability for Extreme Automation and Healthcare Interoperability & Continuity","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interoperability; Workflow; Cross-domain interoperability; Automation; Computer science; Health care; Web service; Semantic interoperability; Knowledge management; Business; Process management; World Wide Web; Engineering; Database; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001547106,0.0005363029,0.0009963543,0.000317876,0.0002136321,0.001046616,0.0004680778,0.0003781175,0.0001639852],"category_scores_gemma":[0.0006422246,0.0004400125,0.0002972657,0.000241476,0.0001137536,0.0008576004,0.00123371,0.0005364781,0.00009281846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255718,"about_ca_system_score_gemma":0.00009722573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004068893,"about_ca_topic_score_gemma":0.00247951,"domain_scores_codex":[0.9970545,0.00005090041,0.0009648889,0.001209483,0.0003172396,0.0004029713],"domain_scores_gemma":[0.9967973,0.00009938804,0.0006373067,0.0009705176,0.001466095,0.00002941491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001072178,0.002060937,0.4186335,0.2204883,0.001406757,0.000002772934,0.003600584,0.01061993,0.0007689952,0.02086259,0.01064908,0.3098344],"study_design_scores_gemma":[0.001570601,0.0000245561,0.01989395,0.001993886,0.0007437217,0.000002146982,0.0007177428,0.9080855,0.00001838507,0.04958253,0.01574957,0.001617451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8373829,0.0004382732,0.1497695,0.007303086,0.001023249,0.002024236,0.00004884728,0.0006451835,0.001364752],"genre_scores_gemma":[0.9934453,0.00002888038,0.002854858,0.001396185,0.0006126291,0.0002588487,0.0006548235,0.00006011627,0.0006883511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8974655,"threshold_uncertainty_score":0.9999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06010038925826643,"score_gpt":0.2893055072793851,"score_spread":0.2292051180211186,"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."}}