{"id":"W2574572568","doi":"","title":"DIFFERENTIAL APPROACH FOR MAP REVISION FROM NEW MULTI-RESOLUTION SATELLITE IMAGERY AND EXISTING TOPOGRAPHIC DATA","year":2000,"lang":"en","type":"article","venue":"","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Topographic map (neuroanatomy); Satellite imagery; A priori and a posteriori; Satellite; Computer science; Geospatial analysis; Cartography; Geography; Geology; Artificial intelligence; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002067058,0.0004556598,0.0006416389,0.002036227,0.0005168048,0.001328423,0.001726561,0.0004645125,0.001672953],"category_scores_gemma":[0.006675621,0.000341638,0.0005766444,0.001691588,0.0007196907,0.001530652,0.001903491,0.0007364103,0.0005125519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000627015,"about_ca_system_score_gemma":0.001212541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002608135,"about_ca_topic_score_gemma":0.005180544,"domain_scores_codex":[0.9978837,0.0004386643,0.0001134758,0.0003612516,0.001092755,0.0001100762],"domain_scores_gemma":[0.9970478,0.001130753,0.0002200888,0.0006332627,0.0009038324,0.00006424617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001469423,0.0000954075,0.002267789,0.0002288401,0.00005936932,0.0001838528,0.0006906404,0.01208686,0.02821341,0.008528459,0.001349755,0.9461487],"study_design_scores_gemma":[0.0001185924,0.0005489539,0.01671988,0.00007102359,0.0001755857,0.001768922,0.001046394,0.8116156,0.09280271,0.02092904,0.05404256,0.0001606968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02273489,0.000106249,0.9747869,0.00007556016,0.00003328751,0.0001294482,0.00005220734,0.0009101635,0.001171282],"genre_scores_gemma":[0.1713457,0.0001270999,0.8260927,0.00005620626,0.00002196237,0.0001308985,0.0003203778,0.0001172771,0.001787819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002608135,"threshold_uncertainty_score":0.01093179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05057511511735974,"score_gpt":0.2614513944437047,"score_spread":0.210876279326345,"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."}}