{"id":"W1658584542","doi":"10.1007/978-1-4419-1723-2_5","title":"Integration of a Deployable CIGI-Based Image Generator in an Existing Simulation","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Projector; Computer graphics (images); Software; Interface (matter); Generator (circuit theory); Rendering (computer graphics); Computer vision; Artificial intelligence; Computer hardware; Operating system","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":[0.0004064297,0.0007095179,0.0006114743,0.0006528725,0.000324229,0.000980478,0.002236607,0.0006072321,0.01709987],"category_scores_gemma":[0.00147072,0.0004673541,0.0005078919,0.000370862,0.0003205827,0.000735915,0.0009997049,0.000973977,0.00379013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005318421,"about_ca_system_score_gemma":0.0005484095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630411,"about_ca_topic_score_gemma":0.001637359,"domain_scores_codex":[0.9997744,0.00002722375,0.00001408087,0.00004509616,0.0001135104,0.00002573182],"domain_scores_gemma":[0.9994031,0.0001727153,0.0000236639,0.0001739932,0.0001496097,0.00007680481],"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":[0.001325672,0.0006921453,0.005994271,0.0006983177,0.0001953081,0.001278231,0.0009191534,0.1895729,0.2149294,0.02571863,0.05027934,0.5083967],"study_design_scores_gemma":[0.0001338926,0.0001563774,0.0009693389,0.00003488965,0.00007268686,0.0003914771,0.00005769257,0.8404754,0.1061702,0.003389584,0.04808662,0.00006175541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01783643,0.00008193669,0.918164,0.0002031754,0.0002325744,0.0001987147,0.0003258087,0.04929517,0.01366217],"genre_scores_gemma":[0.3583925,0.0002028763,0.6094474,0.0003317316,0.00007826024,0.000297158,0.00121266,0.01195365,0.01808374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01709987,"threshold_uncertainty_score":0.05720472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05532917901895976,"score_gpt":0.3328744025938915,"score_spread":0.2775452235749317,"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."}}