{"id":"W4200438983","doi":"10.1109/tgrs.2021.3083436","title":"IEEE Transactions on Geoscience and Remote Sensing publication information","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Remote sensing; Earth science; Data science; Information retrieval; 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":[0.0003415699,0.0002572905,0.0002052552,0.000387561,0.001510453,0.0006176824,0.0002517508,0.0001240754,0.000003309828],"category_scores_gemma":[0.00001940874,0.0002588107,0.00008225368,0.001606323,0.0002793265,0.001902344,0.000004904026,0.0003932095,0.00002021782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001034876,"about_ca_system_score_gemma":0.0001905991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001790845,"about_ca_topic_score_gemma":0.00004927506,"domain_scores_codex":[0.9978161,0.00007578435,0.0004277023,0.0007323673,0.0005299579,0.0004180238],"domain_scores_gemma":[0.9984019,0.0001989195,0.0001753841,0.0005705382,0.0004307802,0.0002224506],"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":[0.00000478522,0.00001915801,2.240601e-8,0.00001054458,0.000004539232,0.000004689243,0.0003462396,0.001823482,0.002634163,0.0003389103,0.00001222558,0.9948012],"study_design_scores_gemma":[0.0002175436,0.00008713101,0.0000525769,0.0001182796,0.00001480983,0.0004419962,0.00011752,0.9491207,0.04200761,0.005338874,0.002162757,0.0003202124],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004387671,0.00001979986,0.9900241,0.004132439,0.0004455722,0.0002652996,0.00001335454,0.0003232926,0.0003884634],"genre_scores_gemma":[0.2375736,0.0002750846,0.7596619,0.002024163,0.00002802112,4.432044e-7,0.000003381273,0.00001187671,0.0004215308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.994481,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648638240233907,"score_gpt":0.2606707675374013,"score_spread":0.2441843851350622,"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."}}