{"id":"W2004849593","doi":"10.1117/1.1813441","title":"Classification of imaging spectrometers for remote sensing applications","year":2005,"lang":"en","type":"article","venue":"Optical Engineering","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jet Propulsion Laboratory; Florida Institute of Technology; McMaster University; National Aeronautics and Space Administration","keywords":"Terminology; Computer science; Imaging spectrometer; Pace; Spectrometer; Confusion; Spectral imaging; Field (mathematics); High-dynamic-range imaging; Artificial intelligence; Data science; Remote sensing; Optics; Computer vision; Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008772783,0.0001089798,0.0001373157,0.0001462766,0.00002527218,0.00002060379,0.0000737268,0.00004960315,0.000008677548],"category_scores_gemma":[0.00006065362,0.0001244159,0.00006302878,0.0002673908,0.00002136131,0.0001010579,0.0000101299,0.0001051906,0.00002245294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006926693,"about_ca_system_score_gemma":0.000005505688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.578204e-7,"about_ca_topic_score_gemma":2.9943e-7,"domain_scores_codex":[0.9993105,0.000001703607,0.0002467913,0.0001239245,0.00009461466,0.0002224746],"domain_scores_gemma":[0.9995818,0.0001024825,0.00001685439,0.0001651301,0.00004214558,0.00009158238],"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":[0.000004676762,0.00001819175,0.00001728853,0.0002328727,0.00003872257,3.483538e-7,0.00003915132,0.2596891,0.4364347,0.03022874,0.0001155961,0.2731806],"study_design_scores_gemma":[0.0001466755,0.000006326181,0.0002393173,0.00001770106,0.00001637545,0.000003612082,0.00001107246,0.970369,0.01871636,0.0001079552,0.01023415,0.0001314221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005928226,0.0001245338,0.9900613,0.0001975121,0.00009013176,0.0001899681,0.000005196709,0.0002903548,0.003112767],"genre_scores_gemma":[0.6621099,0.0000117856,0.3376372,0.00001613759,0.0001564529,0.000002657162,0.00001036869,0.00003228647,0.00002322822],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7106799,"threshold_uncertainty_score":0.5073533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008290340257062047,"score_gpt":0.2196711567116784,"score_spread":0.2113808164546164,"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."}}