{"id":"W4254834083","doi":"10.1109/tgrs.2014.2313193","title":"IEEE Transactions on Geoscience and Remote Sensing publication information","year":2014,"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; Earth science; Data science; Geology","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0005201769,0.0002695514,0.0002073706,0.0004890167,0.001551542,0.0005408998,0.0003124762,0.0001245334,0.000001824253],"category_scores_gemma":[0.00002027586,0.0002592941,0.00007400884,0.001214192,0.0003251022,0.001891231,0.000004000879,0.000375964,0.00002438507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008855308,"about_ca_system_score_gemma":0.0000850501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002499593,"about_ca_topic_score_gemma":0.0000362397,"domain_scores_codex":[0.9978548,0.00008169708,0.0004277314,0.0006853415,0.0005207855,0.0004296605],"domain_scores_gemma":[0.9984797,0.0002407987,0.000202424,0.0005628626,0.0002834425,0.0002307508],"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":[0.000005536977,0.00001382666,2.31408e-8,0.000009251262,0.000003083852,6.750348e-7,0.0002977718,0.002225485,0.001222053,0.0005035682,0.00001069192,0.995708],"study_design_scores_gemma":[0.0002143556,0.0001450592,0.0000564085,0.00009738447,0.00001215894,0.0001691264,0.00005062493,0.9759716,0.01349515,0.006872084,0.002605714,0.0003103329],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004216847,0.000006812416,0.9910912,0.003088659,0.0004101255,0.0003294202,0.00000786379,0.0003840892,0.0004650181],"genre_scores_gemma":[0.3729101,0.0001008479,0.6250861,0.001652111,0.00002956243,4.232161e-7,0.000001720057,0.00001067638,0.0002083738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9953977,"threshold_uncertainty_score":0.9999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379242710394534,"score_gpt":0.2526838225147799,"score_spread":0.2388913954108346,"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."}}