{"id":"W4256533216","doi":"10.1109/tgrs.2003.819266","title":"Foreword","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science; Remote sensing; 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":[],"consensus_categories":[],"category_scores_codex":[0.001206643,0.001013885,0.0007894415,0.001827214,0.001773002,0.003640325,0.001310215,0.003085757,0.3534421],"category_scores_gemma":[0.007029048,0.0002522084,0.0006419607,0.0009226473,0.0005167203,0.002310436,0.002162137,0.003330013,0.3902542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302026,"about_ca_system_score_gemma":0.002484799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002339023,"about_ca_topic_score_gemma":0.004925378,"domain_scores_codex":[0.9990636,0.0001022765,0.00004681524,0.000127301,0.000548088,0.0001119777],"domain_scores_gemma":[0.9954876,0.0004393382,0.0001693835,0.0002450984,0.002602991,0.001055676],"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":[0.00001150848,0.000007843121,0.00002474564,0.00004011844,0.000001097503,0.000017341,0.000006493376,0.000007332195,0.00006631928,0.0007244248,0.9722902,0.02680261],"study_design_scores_gemma":[0.000003700854,0.000008450197,0.0000848852,0.00005533566,0.000001769121,0.00003914135,0.00001406638,0.000009758321,0.00005815371,0.0006815974,0.9990407,0.000002479714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004598274,0.01796713,0.002122244,0.1083233,0.4695784,0.0002976626,0.001826392,0.0008818732,0.3985431],"genre_scores_gemma":[0.001292092,0.004111785,0.0005586544,0.02783637,0.04553873,0.0001103871,0.0008345265,0.0003087532,0.9194087],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3534421,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205883911293908,"score_gpt":0.2544375208075865,"score_spread":0.2338491296781957,"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."}}