{"id":"W4248880528","doi":"10.1109/tgrs.2015.2392992","title":"IEEE Transactions on Geoscience and Remote Sensing publication information","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Remote sensing; Computer science; Data science; Earth science; Geology; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005259258,0.0002656168,0.0002013042,0.0004971045,0.001137602,0.0005483615,0.0003087272,0.0001242021,0.000001186584],"category_scores_gemma":[0.00002102663,0.0002551799,0.00006559307,0.001374223,0.0003237576,0.002269208,0.000004468302,0.0003711755,0.00002683525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375071,"about_ca_system_score_gemma":0.0001803071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003472464,"about_ca_topic_score_gemma":0.00003913421,"domain_scores_codex":[0.9978167,0.00006940622,0.0004245095,0.0006532989,0.0006129681,0.00042316],"domain_scores_gemma":[0.9983733,0.0001521722,0.0001953376,0.0005281589,0.0004160827,0.0003349173],"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":[0.000008649792,0.00001654402,2.706477e-8,0.00000674367,0.000003507696,0.000001879885,0.0005695216,0.002888639,0.0006064452,0.0002635472,0.00002506847,0.9956094],"study_design_scores_gemma":[0.0002816908,0.0001635527,0.00002964322,0.00008712091,0.00001264462,0.0002638342,0.0001442321,0.9785056,0.01087748,0.006981851,0.0023336,0.0003187336],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00449862,0.0000135865,0.9905103,0.003286065,0.0004873305,0.0003611004,0.00001062387,0.0003852347,0.0004471212],"genre_scores_gemma":[0.3009738,0.0001052888,0.697139,0.00146063,0.00002979649,4.826454e-7,0.000002145307,0.00001151591,0.000277379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9952907,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541465855556914,"score_gpt":0.2708161358106665,"score_spread":0.2454014772550974,"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."}}