{"id":"W1952087875","doi":"","title":"Canadian Airborne Hyperspectral Imager Development","year":2005,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Hyperspectral imaging; Spectrometer; Imaging spectrometer; Field of view; Optics; Spectral resolution; Nadir; VNIR; Spectral bands; Sampling (signal processing); Detector; Ranging; Image resolution; Computer science; Physics; Satellite; Geology; Telecommunications; Spectral line","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002258395,0.001127684,0.0005397733,0.002984036,0.002668463,0.001812629,0.002624772,0.0007182641,0.03341108],"category_scores_gemma":[0.001926577,0.0005840532,0.0008040227,0.003302383,0.0005212859,0.001072275,0.001320861,0.001313567,0.01097423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01403244,"about_ca_system_score_gemma":0.03283638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8912514,"about_ca_topic_score_gemma":0.9411761,"domain_scores_codex":[0.9960409,0.0001132135,0.00005230537,0.0003757301,0.00309157,0.0003262138],"domain_scores_gemma":[0.9936435,0.00008566501,0.00005732642,0.0001626066,0.005743011,0.000307872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000283098,0.0001648977,0.006136508,0.0004102346,0.00006922651,0.00031798,0.0004447677,0.004775017,0.06379703,0.02238259,0.5313038,0.3699149],"study_design_scores_gemma":[0.00005598991,0.00005471748,0.01035285,0.00006019187,0.00003854907,0.0001541488,0.0001857874,0.01079558,0.02050383,0.0007588085,0.9569439,0.00009572494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03285711,0.002602492,0.1469853,0.005785321,0.001417562,0.00266782,0.06961714,0.01708419,0.7209831],"genre_scores_gemma":[0.09658071,0.004549143,0.3606462,0.002359978,0.0001735768,0.00129328,0.08252396,0.003193867,0.4486792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8912514,"threshold_uncertainty_score":0.2187781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007545881046044129,"score_gpt":0.1994318934181497,"score_spread":0.1918860123721056,"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."}}