{"id":"W2050293962","doi":"10.1117/12.736476","title":"&lt;title&gt;FTIR-based airborne spectral imagery for target interrogation&lt;/title&gt;","year":2007,"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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Remote sensing; Detector; Broadband; Computer science; Optics; Spectral resolution; Interferometry; Spectral bands; Fourier transform spectroscopy; Interrogation; Calibration; Infrared; Physics; Geology; Spectral line","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":[0.0007374456,0.0002359459,0.0002730508,0.0001424426,0.00005187245,0.00005629719,0.0004349981,0.0001879452,0.0001313791],"category_scores_gemma":[0.0004591983,0.0002178061,0.0004478379,0.0002347038,0.0001204217,0.0002289077,0.00004550187,0.0002417283,0.00001832837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188309,"about_ca_system_score_gemma":0.00002849193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.405214e-7,"about_ca_topic_score_gemma":6.588274e-8,"domain_scores_codex":[0.9986046,2.035828e-8,0.0004706415,0.0002280278,0.0003418435,0.0003548926],"domain_scores_gemma":[0.9988579,0.000205717,0.0001373011,0.00005423282,0.0006685886,0.00007627656],"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":[0.00006572557,0.00004224803,0.00002366787,0.0004760055,0.0002650493,1.884217e-7,0.00008690686,0.0007923238,0.7296774,0.2365169,0.03099613,0.001057402],"study_design_scores_gemma":[0.0006708883,0.0001838001,0.0003034992,0.0001540982,0.00009465485,0.00001068534,0.0003400219,0.07886382,0.8439695,0.00388336,0.071057,0.0004686307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9536213,0.0001836849,0.006960404,0.0004633517,0.001188384,0.0004820729,0.00007606435,0.0003917994,0.03663293],"genre_scores_gemma":[0.1094068,0.00003579233,0.8882154,0.00009595102,0.0009936448,0.0001108595,0.00002283282,0.0001187762,0.0009999889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.881255,"threshold_uncertainty_score":0.8881876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673398592224118,"score_gpt":0.2460548777988085,"score_spread":0.2293208918765673,"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."}}