{"id":"W2997674153","doi":"10.36227/techrxiv.11728956.v1","title":"Pragmatic Interoperability for Extreme Automation and Healthcare Interoperability &amp; Continuity","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Lakehead University","funders":"","keywords":"Interoperability; Automation; Health care; Cross-domain interoperability; Computer science; Business; Engineering; Semantic interoperability; World Wide Web; Political science; Mechanical engineering","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":[0.01091859,0.0008881151,0.0009543484,0.003051284,0.002999958,0.01321855,0.001732117,0.006213482,0.05780545],"category_scores_gemma":[0.02918099,0.0009499324,0.001583644,0.004541701,0.005003749,0.01789832,0.008712295,0.006783166,0.01608211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003173512,"about_ca_system_score_gemma":0.005014601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0031027,"about_ca_topic_score_gemma":0.002050639,"domain_scores_codex":[0.9839717,0.007676128,0.002011087,0.001116343,0.004374905,0.0008498271],"domain_scores_gemma":[0.9868903,0.003880715,0.0008589084,0.00404076,0.003603153,0.0007261707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004711533,0.00002703009,0.0001203708,0.000240075,0.00001318967,0.0001239538,0.0004939465,0.0003445399,0.000736341,0.9384249,0.03863013,0.02079834],"study_design_scores_gemma":[0.00004384972,0.00006461869,0.0005482007,0.0004286024,0.0000302434,0.0004402363,0.0006164203,0.006074276,0.002344807,0.5383552,0.4509839,0.00006959122],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004533779,0.002330204,0.6818997,0.03615931,0.006282158,0.0009249187,0.002807245,0.001826444,0.2632362],"genre_scores_gemma":[0.2608974,0.00383249,0.5402957,0.006743915,0.004477514,0.002611797,0.008984824,0.002340753,0.1698157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05780545,"threshold_uncertainty_score":0.1933785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1419750602415849,"score_gpt":0.3825295913130759,"score_spread":0.240554531071491,"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."}}