{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007686283,0.001030347,0.001362312,0.002531359,0.0006019286,0.002050165,0.0008795786,0.001187359,0.3374797],"category_scores_gemma":[0.002538084,0.0003801689,0.0004845709,0.003844941,0.0002977134,0.002253661,0.001070727,0.001160793,0.2088607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918208,"about_ca_system_score_gemma":0.001617253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004072763,"about_ca_topic_score_gemma":0.006038907,"domain_scores_codex":[0.9994603,0.00004208235,0.00003675708,0.00005308973,0.000355317,0.00005245301],"domain_scores_gemma":[0.997954,0.0002313213,0.00006103488,0.0003727166,0.001239499,0.0001413859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001027305,0.0000662975,0.0003973368,0.0002984092,0.00001457558,0.0000595384,0.00001650804,0.0009956658,0.002287078,0.00340063,0.7281941,0.2641671],"study_design_scores_gemma":[0.00001944752,0.0000361612,0.00150026,0.0001367942,0.00003595251,0.0001240747,0.00003964273,0.005220506,0.001665949,0.005629902,0.9855636,0.00002779931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009466559,0.02459102,0.1189006,0.01661341,0.1101634,0.0005640524,0.04381859,0.01037722,0.6655052],"genre_scores_gemma":[0.02954566,0.02995141,0.02694545,0.001584075,0.006032343,0.0001809234,0.05295086,0.00244345,0.8503659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6625203,"threshold_uncertainty_score":0.9450049,"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."}}