{"id":"W2997674153","doi":"10.36227/techrxiv.11728956.v1","title":"Pragmatic Interoperability for Extreme Automation and Healthcare Interoperability & 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009428202,0.000385756,0.001005944,0.0001233989,0.0001307878,0.00004058773,0.0001826851,0.0008044707,0.00005566904],"category_scores_gemma":[0.001734152,0.0003241844,0.0001780082,0.0001024132,0.0001951383,0.0000749119,0.0005873907,0.001489875,0.00001737955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003937945,"about_ca_system_score_gemma":0.0003459007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006678123,"about_ca_topic_score_gemma":0.0007207302,"domain_scores_codex":[0.9971824,0.0002816074,0.0009573716,0.0009877293,0.0002223463,0.0003685905],"domain_scores_gemma":[0.9977547,0.0002370724,0.0002603644,0.0009079058,0.0005079044,0.0003320342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001422052,0.0005646631,0.6943928,0.0526169,0.0003700342,0.0000101049,0.01190962,0.000002144408,0.001612627,0.002063476,0.001626218,0.2334093],"study_design_scores_gemma":[0.01102553,0.007048905,0.8436815,0.01584745,0.001233645,0.0002214351,0.004955995,0.0182245,0.005651013,0.05046707,0.03838748,0.00325542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480864,0.0003987873,0.01097299,0.0338568,0.0009606034,0.004419954,0.000107903,0.0009520184,0.0002445624],"genre_scores_gemma":[0.9787342,0.00006471935,0.01901161,0.000901452,0.0002351296,0.0004838399,0.0003840642,0.00003872627,0.0001462665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2301539,"threshold_uncertainty_score":0.999921,"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."}}