{"id":"W2063332651","doi":"10.1117/12.731473","title":"&lt;title&gt;SHIELDS: A battlespace Fraunhofer line discriminator for real-time aerosol cloud analysis&lt;/title&gt;","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Shields; Spectrometer; Remote sensing; Optics; Aerosol; Spectroscopy; Line (geometry); Interferometry; Computer science; Environmental science; Physics; Engineering; Electrical engineering; Electromagnetic shielding; Meteorology; Geology; Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003701967,0.0004358206,0.0003430015,0.0006580935,0.0006160538,0.0006266548,0.0007401758,0.0006589417,0.06929936],"category_scores_gemma":[0.0002300893,0.0002034918,0.000168956,0.0004088554,0.0004385041,0.000987544,0.0003497851,0.000551226,0.02647311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006560526,"about_ca_system_score_gemma":0.0003657436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144479,"about_ca_topic_score_gemma":0.002535263,"domain_scores_codex":[0.9998103,0.00001169605,0.000005273502,0.0000380087,0.000106187,0.00002863389],"domain_scores_gemma":[0.9997655,0.00002767947,0.00002369728,0.000036185,0.0000950538,0.00005186111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006853761,0.0001855182,0.001632511,0.0001704579,0.00001981442,0.0003865491,0.0001138571,0.0009268536,0.3034503,0.009347053,0.3233716,0.3597101],"study_design_scores_gemma":[0.0001339722,0.0006333034,0.004285258,0.0000264472,0.00001136223,0.0007838846,0.00005073764,0.009781986,0.3859738,0.001275748,0.5969828,0.00006074296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1517082,0.00328843,0.1704964,0.007071478,0.005838859,0.0011469,0.01262901,0.0430689,0.6047518],"genre_scores_gemma":[0.202904,0.001057621,0.06171868,0.0008027986,0.0006139963,0.0001451137,0.007005671,0.002937526,0.7228146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06929936,"threshold_uncertainty_score":0.2318295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009701217951114411,"score_gpt":0.231922312478503,"score_spread":0.2222210945273886,"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."}}