{"id":"W2087982370","doi":"10.1117/12.606409","title":"Vehicle intelligence research at Defence R&amp;D Canada","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008490828,0.0002821189,0.0003622796,0.0001036431,0.0001298011,0.0001185595,0.0009722727,0.0001640534,0.00005325546],"category_scores_gemma":[0.0004193182,0.0002506526,0.0003314165,0.0004397354,0.0001595046,0.0004714344,0.0001474877,0.0003993888,0.0000139728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007407514,"about_ca_system_score_gemma":0.00006903223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355785,"about_ca_topic_score_gemma":0.0003053055,"domain_scores_codex":[0.9972427,2.58264e-8,0.0007468646,0.0003328621,0.001117936,0.0005596236],"domain_scores_gemma":[0.9976999,0.0002690559,0.000151665,0.00008520207,0.001607681,0.0001865254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008395599,0.00006675584,0.0005394264,0.0005833363,0.000412693,1.454745e-7,0.0003822496,0.02702545,0.7186041,0.2195594,0.03087323,0.001869258],"study_design_scores_gemma":[0.001013201,0.000148475,0.001172659,0.0004298397,0.00008221427,0.00002457306,0.001607734,0.6723537,0.2082715,0.0007074319,0.1134596,0.0007290934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876072,0.0002730029,0.00006731073,0.001513512,0.0002560541,0.0004843612,0.00003491752,0.0001247312,0.00963891],"genre_scores_gemma":[0.9845298,0.00009345344,0.01370132,0.00006486419,0.0005155229,0.0001265532,0.000006873208,0.0000661588,0.0008954358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6453283,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289676371768186,"score_gpt":0.2587401066548426,"score_spread":0.2358433429371608,"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."}}