{"id":"W2384405226","doi":"","title":"Anomaly Detection Algorithm Based on NSCT Decomposition in Hyperspectral Imagery","year":2014,"lang":"en","type":"article","venue":"Infrared Technology","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Hyperspectral imaging; Residual; Anomaly detection; Artificial intelligence; Transformation (genetics); Computer science; Anomaly (physics); Pattern recognition (psychology); Remote sensing; Decomposition; Computer vision; Algorithm; Geology; Physics","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":[0.0004446954,0.0005879533,0.0007231992,0.001053834,0.0003332165,0.0006317168,0.0007118969,0.000490422,0.0008221799],"category_scores_gemma":[0.0007945033,0.0002643507,0.0004782302,0.0008462854,0.0003196769,0.001076042,0.0004787153,0.0007412498,0.0004315291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000345268,"about_ca_system_score_gemma":0.0008102209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002044774,"about_ca_topic_score_gemma":0.001895519,"domain_scores_codex":[0.9994746,0.0000391205,0.00003286513,0.0001216914,0.0002897439,0.00004192317],"domain_scores_gemma":[0.999448,0.00006385659,0.00005984413,0.00004501952,0.0003574292,0.00002588101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001753656,0.0001253074,0.004132225,0.000146948,0.00008645178,0.0001935404,0.0001254414,0.05730183,0.1818492,0.005118254,0.003025335,0.7477201],"study_design_scores_gemma":[0.00001530337,0.00008634191,0.00361816,0.000008178232,0.00002512149,0.0003347207,0.00002783662,0.9362491,0.05452403,0.001598933,0.003482658,0.00002951224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0330613,0.0001339489,0.9645191,0.00007191133,0.00005641194,0.0000444623,0.00006355389,0.001371492,0.0006778496],"genre_scores_gemma":[0.2775893,0.0002658489,0.7184669,0.00005455813,0.00006519692,0.0001073924,0.0004710234,0.0001199026,0.002859764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002044774,"threshold_uncertainty_score":0.004065812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004632572085888286,"score_gpt":0.2027271830200096,"score_spread":0.1980946109341213,"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."}}