{"id":"W2011652879","doi":"10.1117/12.459568","title":"<title>Flight testing the infrared eye prototype</title>","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Field of view; Artificial intelligence; Search and rescue; Eye tracking; Night vision; Identification (biology); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004175187,0.0002279455,0.0002358632,0.00007921047,0.00007688828,0.0000797686,0.0006088638,0.0001703489,0.0002220708],"category_scores_gemma":[0.0009308613,0.0001721938,0.0002809485,0.0003381292,0.0001287394,0.0002248071,0.00008616891,0.000323572,0.00005558497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075676,"about_ca_system_score_gemma":0.00001041928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.40775e-7,"about_ca_topic_score_gemma":1.794085e-8,"domain_scores_codex":[0.9987072,3.280972e-8,0.0003959546,0.000202581,0.0003954775,0.0002987196],"domain_scores_gemma":[0.9989744,0.0001750473,0.0001281792,0.00006837522,0.0005967377,0.0000571908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002132912,0.00004541389,0.00009257018,0.0005265275,0.0004006853,2.630368e-7,0.0002557096,0.0006967037,0.6674526,0.2536319,0.07368471,0.003191539],"study_design_scores_gemma":[0.0009761388,0.0003623902,0.0008235752,0.0004560828,0.000222833,0.00004502869,0.0004623461,0.2785536,0.2879102,0.007122484,0.4220466,0.001018769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7903577,0.0004296007,0.0001504662,0.0006888262,0.0007969663,0.0006791022,0.00002823454,0.0004454039,0.2064237],"genre_scores_gemma":[0.159472,0.0004548972,0.8256913,0.0002708939,0.002607256,0.0008243518,0.00001120219,0.000346577,0.01032144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8255409,"threshold_uncertainty_score":0.7021861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027630862401668,"score_gpt":0.238160265081182,"score_spread":0.210529402679514,"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."}}