{"id":"W2011029323","doi":"10.2514/6.2008-1662","title":"PC Based Infrared Scene Generation Development","year":2008,"lang":"en","type":"article","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Infrared; Computer science; Computer vision; Artificial intelligence; Remote sensing; Geology; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332786,0.00009851453,0.00009011038,0.0001023053,0.0001045062,0.00001103125,0.00006189495,0.00006858874,0.0004528095],"category_scores_gemma":[0.00006631537,0.00009589521,0.00002338806,0.0001362459,0.00001529559,0.00009499201,0.000009686431,0.00007653319,0.0001471378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008118956,"about_ca_system_score_gemma":0.00004028187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001176259,"about_ca_topic_score_gemma":0.000001971092,"domain_scores_codex":[0.9994321,0.00003044823,0.0001701052,0.0001001163,0.0001142373,0.0001529503],"domain_scores_gemma":[0.999743,0.00003686872,0.00001178836,0.0001331571,0.00003935057,0.0000358706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001194399,0.00002657395,0.001512928,0.00004694669,0.0000566436,0.00003008123,0.0007153355,0.3692032,0.5669962,0.0001270927,0.03132884,0.02994424],"study_design_scores_gemma":[0.0001566877,0.000007743221,0.002727625,0.000001827206,0.000001282399,0.000007117887,0.0000110048,0.09960289,0.8845441,0.00002548528,0.01277671,0.000137476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4282754,0.00005923272,0.5538365,0.00001489798,0.0005593489,0.0000918397,7.261181e-7,0.001077942,0.01608411],"genre_scores_gemma":[0.1904151,0.00001078659,0.8079937,0.0001344996,0.0000978882,0.00003040804,0.00001396844,0.00001931973,0.001284341],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3175479,"threshold_uncertainty_score":0.4957947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09670490144676383,"score_gpt":0.2400436857054957,"score_spread":0.1433387842587319,"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."}}