{"id":"W4254808579","doi":"10.1109/tgrs.2020.3006602","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":"Computer science; Remote sensing; Earth science; Data science; Information retrieval; Geology; Database","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":[0.0007624268,0.001027403,0.00134405,0.002541005,0.0006040743,0.002059387,0.0008844353,0.001189945,0.3380547],"category_scores_gemma":[0.002530055,0.0003784317,0.0004819958,0.003856094,0.0002967032,0.00225503,0.001068857,0.001164443,0.2105574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918214,"about_ca_system_score_gemma":0.001630126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404256,"about_ca_topic_score_gemma":0.005986913,"domain_scores_codex":[0.9994599,0.00004202875,0.00003646239,0.00005304002,0.0003564059,0.0000521741],"domain_scores_gemma":[0.9979751,0.0002292764,0.00006075874,0.0003721012,0.001223511,0.000139263],"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":[0.000100317,0.00006684016,0.0003900978,0.000293576,0.00001433525,0.00005875642,0.00001632974,0.0009957235,0.002257839,0.003453541,0.7274575,0.2648952],"study_design_scores_gemma":[0.00001914911,0.00003568815,0.001459683,0.0001361992,0.00003541738,0.0001235114,0.00003933465,0.005282698,0.001655433,0.005777278,0.9854079,0.00002762631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009221689,0.02422212,0.1181581,0.0162878,0.1065872,0.0005571169,0.04264068,0.01031361,0.6720116],"genre_scores_gemma":[0.02911154,0.02967165,0.02671755,0.001574204,0.005968776,0.0001796906,0.05226991,0.002427998,0.8520786],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3380547,"threshold_uncertainty_score":0.9441846,"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."}}