{"id":"W4237835856","doi":"10.1109/tgrs.2020.3003154","title":"IEEE Transactions on Geoscience and Remote Sensing publication information","year":2020,"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; Astrobiology; 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":[0.0002764407,0.0002658096,0.0002072222,0.0003222902,0.001331803,0.0005214332,0.0003173197,0.0001139738,0.000002425633],"category_scores_gemma":[0.0000185994,0.0002600452,0.00007620672,0.001495296,0.0002880335,0.001974744,0.000004580483,0.0004104787,0.00002752477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007590749,"about_ca_system_score_gemma":0.0001129418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000168701,"about_ca_topic_score_gemma":0.00001695208,"domain_scores_codex":[0.9978846,0.00005947966,0.0004269152,0.0007134872,0.0005174808,0.0003980167],"domain_scores_gemma":[0.9986721,0.0001613757,0.0001892466,0.0004088718,0.0002574747,0.0003109254],"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":[0.000008989467,0.00001148796,2.046612e-8,0.00001213746,0.000003915231,0.000002011104,0.0006623155,0.002593709,0.001909151,0.0002217616,0.00001764042,0.9945568],"study_design_scores_gemma":[0.0002148201,0.0001638852,0.0000313529,0.00007390355,0.00001288757,0.0001288424,0.00009756525,0.9778067,0.01668126,0.002419781,0.002065499,0.0003034346],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003260702,0.0000108712,0.9858618,0.009517534,0.0002751308,0.0003727088,0.00001368487,0.0004297035,0.0002578405],"genre_scores_gemma":[0.350465,0.0001490325,0.6451855,0.004054487,0.00003363296,3.936761e-7,0.000001991787,0.00001149019,0.00009845414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9942535,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081808999390747,"score_gpt":0.2575034392012348,"score_spread":0.2366853492073273,"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."}}