{"id":"W2367466158","doi":"","title":"Accuracy Analysis of POS-supported Aerial Triangulation Based on Ground Calibration Field","year":2013,"lang":"en","type":"article","venue":"Geospatial Information","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Field (mathematics); Triangulation; Remote sensing; Computer science; Geography; Environmental science; Mathematics; Cartography; Statistics","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":[0.001053425,0.00045548,0.0003206903,0.00123753,0.0002450111,0.0005524068,0.000586483,0.0004974908,0.001655066],"category_scores_gemma":[0.004705415,0.0002340483,0.0003118728,0.001092836,0.0003639392,0.0006331903,0.0006007422,0.0002238097,0.0005106012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039643,"about_ca_system_score_gemma":0.0002581791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168692,"about_ca_topic_score_gemma":0.001832703,"domain_scores_codex":[0.998113,0.0002517311,0.00006677619,0.0003468728,0.001103568,0.000118005],"domain_scores_gemma":[0.9972097,0.0006972072,0.0002499179,0.0005321221,0.001274148,0.00003688813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001438082,0.00005640558,0.07593352,0.0004117091,0.0002266612,0.0003857902,0.0006161406,0.1246285,0.1929093,0.003661256,0.002481078,0.5972516],"study_design_scores_gemma":[0.00008881789,0.0004084443,0.1931072,0.0001161483,0.0002672511,0.0009541268,0.0004051436,0.688386,0.1091272,0.001873926,0.005128325,0.0001374395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7143362,0.0008438222,0.2754083,0.00007156473,0.00009254515,0.00003958181,0.0005301607,0.001248459,0.007429415],"genre_scores_gemma":[0.9736826,0.0001587093,0.02488517,0.00001162587,0.00001132939,0.00001226664,0.000491888,0.00005543486,0.0006908315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002168692,"threshold_uncertainty_score":0.005571127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007973418647374797,"score_gpt":0.2244564420134922,"score_spread":0.2164830233661174,"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."}}