{"id":"W7095558110","doi":"","title":"GEOCOMP, A NOAA AVHRR DATA GEOCODING AND COMPOSITING SYSTEM","year":2014,"lang":"en","type":"article","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geocoding; Compositing; Radiometric calibration; Atmospheric correction; Calibration; Radiometry; Irradiance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003160843,0.0001209207,0.000150664,0.00005725977,0.00009625783,0.0001731599,0.0002118306,0.00004483811,0.000008908473],"category_scores_gemma":[0.00001707902,0.0001127888,0.00001300918,0.0001061794,0.00002112622,0.0001648517,0.0001053504,0.0001167713,0.00003017297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001412223,"about_ca_system_score_gemma":0.000002992834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009324585,"about_ca_topic_score_gemma":0.000007123822,"domain_scores_codex":[0.9993123,0.0000200947,0.0001593989,0.000202843,0.00008637057,0.0002190318],"domain_scores_gemma":[0.9994313,0.000101014,0.00001842487,0.0003558327,0.00001718344,0.00007630263],"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":[0.00001933455,0.00004692439,0.03815716,0.006395564,0.0002153993,0.00003171102,0.001055602,0.002908373,0.0540025,0.003735231,0.00360992,0.8898223],"study_design_scores_gemma":[0.000177226,0.000006745679,0.0003211685,0.0001502108,0.00001707978,0.00005519219,0.0001521493,0.9834955,0.003741122,0.00001976395,0.01168028,0.0001835046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3022614,0.003242191,0.5501235,0.00005906552,0.0005813463,0.0002500399,0.00002240474,0.00322094,0.1402391],"genre_scores_gemma":[0.9846248,0.00001622775,0.01507774,0.00004355831,0.0001368447,0.00000344358,0.00002974591,0.00002557829,0.00004208617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805872,"threshold_uncertainty_score":0.4599392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617940500201989,"score_gpt":0.2083873897158545,"score_spread":0.1922079847138346,"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."}}