{"id":"W4249006329","doi":"10.4095/219895","title":"Defining Shaded Spectra by Model Inversion for Spectral Unmixing of Hyperspectral Datasets - Theory and Preliminary Application","year":2002,"lang":"en","type":"report","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hyperspectral imaging; Inversion (geology); Computer science; Spectral line; Pattern recognition (psychology); Remote sensing; Artificial intelligence; Geology; Physics; Paleontology","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":[0.0008035233,0.000408517,0.0002147425,0.0002507174,0.0001974057,0.0005108042,0.0003159522,0.0003000591,0.001116295],"category_scores_gemma":[0.002027822,0.0002575539,0.0003626539,0.0003529517,0.0004481485,0.001074678,0.0008119224,0.0006150183,0.0003327267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782779,"about_ca_system_score_gemma":0.0003324179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978067,"about_ca_topic_score_gemma":0.003470606,"domain_scores_codex":[0.9998036,0.0000748347,0.000005793339,0.00003260555,0.00006703164,0.0000161025],"domain_scores_gemma":[0.9997135,0.0001492207,0.00001972796,0.00004762477,0.00005915326,0.00001073174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001158594,0.0001484504,0.002734192,0.0001609514,0.00005976599,0.0001250527,0.0002471824,0.5138814,0.06893502,0.09165935,0.00216644,0.3197664],"study_design_scores_gemma":[0.000003572987,0.00001144537,0.0002687957,0.00000494054,0.000002525808,0.00002773625,0.0000125782,0.9831631,0.005291711,0.009846953,0.001360585,0.000006037917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008956505,0.00008858395,0.9902785,0.00003598501,0.00000570545,0.00001471468,0.00002086806,0.0001040573,0.0004949867],"genre_scores_gemma":[0.2438154,0.0003490233,0.7533005,0.00005004499,0.00003084782,0.0001146315,0.0002420132,0.0001484723,0.001949052],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001978067,"threshold_uncertainty_score":0.004249513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397832363598865,"score_gpt":0.2570847749991947,"score_spread":0.2331064513632061,"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."}}