{"id":"W4402264573","doi":"10.62973/12-154","title":"OWS-9 OWS Innovations GMLJP2 for National Imagery Transmission Format (NITF) Engineering Report","year":2013,"lang":"en","type":"report","venue":"","topic":"Offshore Engineering and Technologies","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":"Transmission (telecommunications); Computer science; Cartography; Computer graphics (images); Geography; Telecommunications","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":[0.001713348,0.0007506426,0.0004540534,0.001527599,0.001707787,0.001949231,0.001382761,0.001558901,0.1822389],"category_scores_gemma":[0.002364649,0.0003846362,0.0005013362,0.0007631377,0.000508109,0.001945897,0.001528391,0.001706231,0.111043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819568,"about_ca_system_score_gemma":0.007067502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005901,"about_ca_topic_score_gemma":0.02366773,"domain_scores_codex":[0.9975828,0.0001303668,0.00004021253,0.0001107385,0.001858668,0.0002772694],"domain_scores_gemma":[0.998004,0.0001336363,0.00006766814,0.0002266034,0.001325442,0.0002425731],"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":[0.0004221261,0.0007034708,0.002061752,0.0002491233,0.00001390645,0.0002236746,0.0001860705,0.001556779,0.0298637,0.01200629,0.8086062,0.1441069],"study_design_scores_gemma":[0.0000987855,0.000392738,0.004501791,0.00008545839,0.000009888113,0.0001617098,0.0001892545,0.001607667,0.02447368,0.001398214,0.9670491,0.00003169977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01501955,0.0002262527,0.02039401,0.002140977,0.0009847375,0.00283005,0.04197608,0.005353323,0.911075],"genre_scores_gemma":[0.02749444,0.0003970483,0.01566903,0.0003422698,0.0001606138,0.0008651842,0.04781964,0.001641365,0.9056104],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1822389,"threshold_uncertainty_score":0.6096499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694030263198389,"score_gpt":0.2551215386799201,"score_spread":0.2281812360479362,"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."}}