{"id":"W4248880528","doi":"10.1109/tgrs.2015.2392992","title":"IEEE Transactions on Geoscience and Remote Sensing publication information","year":2015,"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; Data science; Earth science; Geology; World Wide Web","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":[0.0007819262,0.001042039,0.001346987,0.002765608,0.0006195655,0.002116826,0.0009586831,0.001226045,0.3563847],"category_scores_gemma":[0.002993408,0.0004158802,0.0005072303,0.004052607,0.0002989863,0.002523481,0.00113498,0.001179772,0.2133672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000509883,"about_ca_system_score_gemma":0.001742228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003751555,"about_ca_topic_score_gemma":0.005702216,"domain_scores_codex":[0.9994258,0.00004092093,0.00004271236,0.00005576759,0.0003790873,0.0000556789],"domain_scores_gemma":[0.9977064,0.0002610945,0.00007206797,0.0004358263,0.001373868,0.0001507081],"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":[0.0001019557,0.00006844634,0.0003951189,0.0003075167,0.00001427171,0.00006344129,0.0000157891,0.00108053,0.002293769,0.003634739,0.7404572,0.2515672],"study_design_scores_gemma":[0.00002009954,0.00003473435,0.00141669,0.0001397631,0.00003464067,0.0001359692,0.00003992779,0.00573259,0.001903959,0.007031229,0.9834802,0.00003007338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009300597,0.02074404,0.1248722,0.01769615,0.1039507,0.0005748198,0.05464069,0.01124076,0.6569801],"genre_scores_gemma":[0.03262158,0.02863809,0.03036685,0.001662003,0.006404764,0.0001879925,0.06725104,0.0027888,0.830079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6436152,"threshold_uncertainty_score":0.9180391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541465855556914,"score_gpt":0.2708161358106665,"score_spread":0.2454014772550974,"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."}}