{"id":"W2981699587","doi":"10.4095/219779","title":"A Lifetime Radiometric Calibration Record for the Landsat Thematic Mapper","year":2001,"lang":"en","type":"report","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Thematic Mapper; Radiometric dating; Radiometric calibration; Remote sensing; Calibration; Radiometry; Thematic map; Environmental science; Geography; Cartography; Satellite imagery; 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":[0.002933629,0.0003376875,0.0002473805,0.002893535,0.0005898485,0.000668609,0.0008477705,0.0005154263,0.01180334],"category_scores_gemma":[0.005176549,0.0002836899,0.0001823019,0.00380721,0.0002355114,0.001627899,0.0005898699,0.0008992429,0.01016992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112141,"about_ca_system_score_gemma":0.003113132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249008,"about_ca_topic_score_gemma":0.01662269,"domain_scores_codex":[0.9985158,0.0001654218,0.0001390727,0.0001566057,0.0009264434,0.00009668295],"domain_scores_gemma":[0.9926862,0.0003635997,0.0007409732,0.001414021,0.004553233,0.0002418791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002862184,0.0005601544,0.06042599,0.0005231546,0.0000417181,0.0002095757,0.0008989659,0.002249051,0.0214225,0.01206657,0.3852907,0.5160255],"study_design_scores_gemma":[0.00003583007,0.0001860536,0.1757759,0.0001124257,0.00001971324,0.0004231303,0.0002948737,0.001629627,0.01540606,0.001235592,0.8048096,0.00007124439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.09040432,0.001450678,0.1098327,0.003341886,0.0006618951,0.00260358,0.5744433,0.004606436,0.2126551],"genre_scores_gemma":[0.1071449,0.001540297,0.1393,0.0006450421,0.0003637283,0.002220672,0.6557724,0.00110557,0.09190731],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01249008,"threshold_uncertainty_score":0.03948605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07167364099368413,"score_gpt":0.2688198849838257,"score_spread":0.1971462439901416,"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."}}