{"id":"W4246022602","doi":"10.1109/tgrs.2013.2296019","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":"Computer science; Remote sensing; Earth science; Information retrieval; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007899699,0.001061142,0.001368331,0.002783454,0.0006258657,0.002153292,0.0009598547,0.001250752,0.3602586],"category_scores_gemma":[0.002938715,0.0004144941,0.0005132033,0.004092063,0.0003025084,0.00253079,0.001139435,0.001200401,0.2153711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005152097,"about_ca_system_score_gemma":0.001726568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003754054,"about_ca_topic_score_gemma":0.00569995,"domain_scores_codex":[0.9994137,0.00004222277,0.0000428254,0.00005778913,0.0003868714,0.00005667701],"domain_scores_gemma":[0.9977151,0.0002599045,0.00007182639,0.000427042,0.001373561,0.0001525579],"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":[0.0001051228,0.000069982,0.0003936399,0.0003062235,0.00001428482,0.00006308194,0.00001557874,0.001029635,0.002311396,0.003487493,0.7395071,0.2526964],"study_design_scores_gemma":[0.00002045535,0.00003625878,0.001440721,0.0001415984,0.00003563956,0.0001371193,0.000040272,0.005420141,0.001864338,0.006738678,0.9840946,0.00003031361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009410568,0.0219442,0.1189649,0.01814954,0.1101621,0.0005740809,0.05234287,0.01096194,0.6574898],"genre_scores_gemma":[0.03104655,0.0290739,0.02808227,0.001693614,0.00660619,0.0001842493,0.06284335,0.002731139,0.8377388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3602586,"threshold_uncertainty_score":0.9125134,"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."}}