{"id":"W2799750502","doi":"10.1080/01431161.2018.1468108","title":"Global DEMs to tackle RPC biases and the overfitting phenomenon in high-resolution satellite imagery","year":2018,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Chinese Academy of Sciences","keywords":"Overfitting; Computer science; Subpixel rendering; Satellite; Algorithm; Pixel; Data mining; Real-time computing; Artificial intelligence; Artificial neural network","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":[0.001127094,0.0008746097,0.0005507715,0.001109328,0.0002432952,0.0005589691,0.0007712855,0.0006571289,0.0007667438],"category_scores_gemma":[0.002950807,0.0003276268,0.0008164607,0.001858276,0.000428577,0.000865331,0.000586495,0.000920539,0.000308523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000377816,"about_ca_system_score_gemma":0.0007577791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005668814,"about_ca_topic_score_gemma":0.00872908,"domain_scores_codex":[0.9996396,0.0001004355,0.00002049691,0.00009057226,0.0001183464,0.00003050365],"domain_scores_gemma":[0.9993218,0.000195504,0.00008715174,0.000168069,0.0002103868,0.00001709122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005178462,0.00005286896,0.00573766,0.0001237566,0.0001515757,0.00009192256,0.00008835143,0.8130535,0.006191955,0.003400679,0.001854909,0.169201],"study_design_scores_gemma":[0.00001292491,0.00001928455,0.002773158,0.000009596997,0.00002474578,0.0000374667,0.00004244432,0.9892169,0.003406205,0.002335648,0.00210839,0.00001315503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1255002,0.0004950595,0.8693817,0.0002364955,0.00006502275,0.00007559717,0.0006768035,0.001677836,0.001891435],"genre_scores_gemma":[0.6232743,0.000262016,0.3727703,0.00009885513,0.00003762208,0.0000866489,0.002084198,0.0002763529,0.001109564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005668814,"threshold_uncertainty_score":0.01127166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261453220127424,"score_gpt":0.264197081228265,"score_spread":0.2515825490269908,"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."}}