{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064059,0.0005708884,0.0006288478,0.001296537,0.00195613,0.007540737,0.0014908,0.002991611,0.004959581],"category_scores_gemma":[0.008652436,0.000575365,0.001337484,0.001640403,0.006009636,0.01013475,0.007746438,0.003932274,0.001307026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002828258,"about_ca_system_score_gemma":0.003831273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002204328,"about_ca_topic_score_gemma":0.001189895,"domain_scores_codex":[0.9917957,0.003199373,0.0007290108,0.0009405224,0.002767645,0.0005676827],"domain_scores_gemma":[0.9969499,0.001033204,0.000292559,0.001058007,0.0004658675,0.0002005413],"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":[0.000008373419,0.00001112397,0.00007037063,0.00004348041,0.000006872184,0.00006061875,0.0002190556,0.001110906,0.0003120872,0.9867436,0.001403501,0.01001003],"study_design_scores_gemma":[0.00001366878,0.00002422301,0.0002520963,0.0001198671,0.0000139691,0.0002115005,0.0002575096,0.01324502,0.001083627,0.902299,0.08245371,0.00002588163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005440852,0.001129442,0.919432,0.009789574,0.000485654,0.0001612272,0.0001273377,0.0005022353,0.06293164],"genre_scores_gemma":[0.3974063,0.00207295,0.5743316,0.002586598,0.0007077484,0.0007671894,0.0007944641,0.0003200404,0.02101313],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007540737,"threshold_uncertainty_score":0.03387809,"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."}}