{"id":"W347003230","doi":"10.1117/12.2177355","title":"Automated turbulences jitters correction with a dual ports imaging Fourier-transform spectrometer","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada)","funders":"","keywords":"Computer vision; Computer science; Spectrometer; Fourier transform; Optics; Imaging spectrometer; Artificial intelligence; Radiometry; Port (circuit theory); Field of view; Remote sensing; Physics; Geology; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005036443,0.0003076523,0.0003184928,0.0001497779,0.00005038095,0.0001422303,0.0003587481,0.0001120927,0.000009992333],"category_scores_gemma":[0.0001224344,0.0002475443,0.0002909996,0.000344514,0.0001397865,0.0008089155,0.00003843384,0.0002577158,0.000001037434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329901,"about_ca_system_score_gemma":0.00003580246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009881661,"about_ca_topic_score_gemma":4.815458e-7,"domain_scores_codex":[0.9980932,1.279642e-8,0.0005094692,0.0002698887,0.0007738995,0.0003535326],"domain_scores_gemma":[0.9986448,0.00003742,0.0001629862,0.00004894897,0.0009487839,0.0001570496],"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":[0.0003092058,0.0002134019,0.00150302,0.0008492004,0.001122925,0.000001324935,0.001369569,0.002793622,0.8189688,0.06776507,0.1024885,0.002615329],"study_design_scores_gemma":[0.001662717,0.0005122475,0.0006375412,0.0005774877,0.0002365461,0.000134649,0.002337293,0.5919532,0.3915876,0.0006651768,0.008970279,0.0007252976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902679,0.0000753377,0.0005578619,0.001393838,0.0004937131,0.0005316376,0.00001618383,0.001034346,0.005629191],"genre_scores_gemma":[0.8844515,0.00006509486,0.1145745,0.0001122049,0.0003468399,0.0001832181,0.00001586821,0.00009684553,0.0001539327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5891595,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116963583877609,"score_gpt":0.2167419725988028,"score_spread":0.2055723367600267,"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."}}