{"id":"W4402260728","doi":"10.62973/12-103r3","title":"OWS-9 CCI Semantic Mediation Engineering Report","year":2013,"lang":"en","type":"report","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Defence Science and Technology Group; Natural Resources Canada; U.S. Army Corps of Engineers; Defence Science and Technology Laboratory; National Geospatial-Intelligence Agency; Federal Aviation Administration; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Mediation; Computer science; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01819433,0.002588189,0.001439183,0.005691566,0.003987692,0.009158833,0.003431371,0.003205902,0.05473282],"category_scores_gemma":[0.01426639,0.001265077,0.001830592,0.004427449,0.001609199,0.008104977,0.004766495,0.004254597,0.0336993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00746319,"about_ca_system_score_gemma":0.02789103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1113424,"about_ca_topic_score_gemma":0.0673006,"domain_scores_codex":[0.9856181,0.002091898,0.0003566623,0.0006345925,0.009704878,0.001593952],"domain_scores_gemma":[0.9891244,0.001654739,0.000280187,0.001837988,0.006145585,0.0009570387],"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":[0.0006710705,0.001224005,0.001838017,0.0004036906,0.00008585205,0.0002666337,0.0005069904,0.005646794,0.007738699,0.09516428,0.7889386,0.09751532],"study_design_scores_gemma":[0.0002085665,0.0002380657,0.00270851,0.0002554674,0.00008732486,0.0002196486,0.0005200485,0.01850612,0.03532656,0.01714795,0.9246649,0.0001167582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01354057,0.0009083635,0.1588338,0.009036575,0.00194417,0.004021598,0.07826688,0.0179099,0.7155382],"genre_scores_gemma":[0.04709188,0.002035241,0.2608393,0.001387702,0.0004618042,0.003292364,0.2760319,0.009220387,0.3996395],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1113424,"threshold_uncertainty_score":0.2213886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491730142985058,"score_gpt":0.2361240693147914,"score_spread":0.2112067678849408,"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."}}