{"id":"W4402262579","doi":"10.62973/12-151","title":"OWS-9 Aviation Portrayal Engineering Report","year":2013,"lang":"en","type":"report","venue":"","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"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":"Aviation; Aeronautics; Engineering; Aerospace engineering","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":[0.0007789467,0.000627234,0.0006408737,0.0005588643,0.00003673857,0.0001522841,0.0003653398,0.001231081,0.001160828],"category_scores_gemma":[0.0002962696,0.0006410679,0.0002085332,0.0003584998,0.00001940136,0.0001650279,0.00009176986,0.002134904,0.0008258531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009099478,"about_ca_system_score_gemma":0.0003172556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002018517,"about_ca_topic_score_gemma":0.000008022012,"domain_scores_codex":[0.9962328,0.000006824962,0.0008674055,0.0005103548,0.001585693,0.0007969381],"domain_scores_gemma":[0.9981748,0.00008037235,0.00008922542,0.0009538393,0.0004171919,0.0002845401],"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":[0.000001660391,0.00003969581,0.0002224652,0.003662351,0.0007518693,0.001440265,0.00005725521,0.3182051,0.006726261,0.0004969158,0.6575643,0.01083184],"study_design_scores_gemma":[0.0002127447,0.00002536929,0.002712569,0.0003168887,0.00008377143,0.001839084,0.00001045948,0.1197195,0.003897215,0.00003568945,0.8694336,0.00171312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003903008,0.00191713,0.07756999,0.00006326071,0.006990755,0.001284595,0.00003821977,0.00747478,0.9007583],"genre_scores_gemma":[0.654818,0.005953499,0.04508284,0.00003186225,0.01020348,0.002389681,0.003169106,0.003015335,0.2753362],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.650915,"threshold_uncertainty_score":0.9999521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840264361318622,"score_gpt":0.2526505715234167,"score_spread":0.2342479279102305,"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."}}