{"id":"W4242172089","doi":"10.1109/lgrs.2013.2279724","title":"IEEE Geoscience and Remote Sensing Letters publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Data science; Earth science; Remote sensing; 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":[],"category_scores_codex":[0.0006042413,0.0008441291,0.001043435,0.001919648,0.001105081,0.003081406,0.0009927914,0.001719536,0.5103498],"category_scores_gemma":[0.00230566,0.0003970549,0.0003958062,0.001685778,0.0003524662,0.002648938,0.0009623757,0.00182351,0.2976397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007793861,"about_ca_system_score_gemma":0.001333954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002472755,"about_ca_topic_score_gemma":0.006028097,"domain_scores_codex":[0.9995135,0.00004208299,0.00002237894,0.00005410384,0.0003072083,0.00006075192],"domain_scores_gemma":[0.9977766,0.0002133725,0.00007053815,0.0002811322,0.001410301,0.0002480638],"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":[0.00005189305,0.00004053382,0.00008949827,0.00006266444,0.000003984689,0.00002763776,0.000007522669,0.0001385234,0.0009513079,0.001506146,0.9385023,0.05861801],"study_design_scores_gemma":[0.00002271861,0.00003764395,0.0006597679,0.00005503499,0.00001152191,0.00007153656,0.00002600993,0.002137186,0.001790845,0.002886211,0.9922819,0.00001957664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.004357326,0.004517813,0.03195843,0.03137292,0.08278919,0.000401959,0.01117521,0.009596431,0.8238307],"genre_scores_gemma":[0.01161527,0.003261091,0.004869275,0.002119006,0.008564743,0.0000927095,0.01004742,0.001403385,0.958027],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5103498,"threshold_uncertainty_score":0.6984265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036476933107493,"score_gpt":0.195937167580682,"score_spread":0.1855723982496071,"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."}}