{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009123372,0.0005186794,0.0007586487,0.0009416916,0.0001360291,0.0008169436,0.0003558288,0.0004138834,0.00157621],"category_scores_gemma":[0.001139127,0.000445288,0.0003077798,0.0008777734,0.0000198313,0.001323884,0.0002199685,0.0004028039,0.001570376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096764,"about_ca_system_score_gemma":0.0002491623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00705089,"about_ca_topic_score_gemma":0.0001041267,"domain_scores_codex":[0.9965471,0.000002855271,0.0009519383,0.0007162221,0.001337541,0.0004443424],"domain_scores_gemma":[0.9960102,0.00002945364,0.0009673419,0.00062399,0.002346819,0.00002213235],"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":[0.00001730313,0.0005435389,0.02383282,0.0273373,0.00238422,0.001553474,0.00006058673,0.03811014,0.0004615903,0.003514484,0.7815974,0.1205871],"study_design_scores_gemma":[0.0002334079,0.000002180902,0.001665941,0.0005469819,0.00100092,0.00009487513,0.00003634259,0.3047665,0.00001656469,0.0005820828,0.6897399,0.001314349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02561468,0.00273885,0.1096302,0.004602365,0.01329505,0.001374998,0.000006110976,0.004424326,0.8383134],"genre_scores_gemma":[0.8776973,0.0009360761,0.001111919,0.0008309708,0.02500042,0.0002428481,0.002625715,0.0003967632,0.09115795],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8520827,"threshold_uncertainty_score":0.9997999,"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."}}