{"id":"W1993614505","doi":"10.1109/ths.2011.6107846","title":"Visual analytics for maritime domain awareness","year":2011,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC; Defence Research and Development Canada","funders":"","keywords":"Visual analytics; Visualization; Computer science; Analytics; Domain (mathematical analysis); Mandate; Data science; Information overload; Task (project management); Data visualization; Anomaly detection; Human–computer interaction; World Wide Web; Data mining; Engineering; Systems 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334135,0.0007254619,0.0003492456,0.001652375,0.0004504349,0.003029841,0.0007835004,0.0006068473,0.006229546],"category_scores_gemma":[0.006109503,0.0003289651,0.0004031009,0.001046322,0.0005803292,0.002991044,0.001831156,0.001154796,0.0009966728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005117448,"about_ca_system_score_gemma":0.0005388031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056298,"about_ca_topic_score_gemma":0.002195863,"domain_scores_codex":[0.9994411,0.0002168962,0.00003320249,0.00007241261,0.00019704,0.00003933714],"domain_scores_gemma":[0.9969299,0.001706345,0.0001799438,0.0004487264,0.0005377466,0.0001972989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001059985,0.000322741,0.004984827,0.00179456,0.000166137,0.0006062832,0.006390919,0.02635661,0.09138943,0.100492,0.05844948,0.7079871],"study_design_scores_gemma":[0.0002062672,0.0004108921,0.007093793,0.0008344425,0.0001231732,0.001169835,0.004046222,0.3432333,0.04195239,0.3385746,0.2621587,0.0001965003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04848728,0.002438585,0.8983979,0.004869734,0.0001681786,0.0003628739,0.001895479,0.01965548,0.02372451],"genre_scores_gemma":[0.4361793,0.001782514,0.5556954,0.0004516816,0.000126095,0.0002301737,0.001876224,0.0007908981,0.002867666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006229546,"threshold_uncertainty_score":0.02083993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05793371599474906,"score_gpt":0.3273896484026644,"score_spread":0.2694559324079154,"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."}}