{"id":"W7111653253","doi":"","title":"Charakterisierung der arktischen Landoberfläche mittels polarimetrischer Radardaten (PolSAR) und digitalen Höhenmodellen (DEM)","year":2015,"lang":"en","type":"dissertation","venue":"Online Publication Service of Würzburg University (Würzburg University)","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Synthetic aperture radar; Cloud cover; Arctic; Digital elevation model; Radar imaging; Land cover; Cloud computing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003124651,0.0008040231,0.001020206,0.001988722,0.0002651539,0.0001131284,0.001871252,0.001091098,0.00029979],"category_scores_gemma":[0.00005702199,0.0009919317,0.0003541115,0.003023869,0.0001150122,0.001303875,0.00027466,0.0008303938,0.00007766906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007121576,"about_ca_system_score_gemma":0.0005532426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011538,"about_ca_topic_score_gemma":0.000364287,"domain_scores_codex":[0.9969593,0.0001109288,0.000628786,0.000912885,0.0007615927,0.0006264594],"domain_scores_gemma":[0.9952666,0.0001419012,0.0006361845,0.001375967,0.002107548,0.0004718429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00371685,0.006416082,0.006766042,0.008025215,0.01873673,0.0004463686,0.0142288,0.0005902951,0.01670938,0.05933806,0.2419025,0.6231237],"study_design_scores_gemma":[0.00118599,0.00004742694,0.001523073,0.0001918041,0.0008546288,0.000006718341,0.003016184,0.00160567,0.002085133,0.0002049189,0.9882806,0.0009978326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4271728,0.008701138,0.05946711,0.009537105,0.001682832,0.006411795,0.0106629,0.006536421,0.4698279],"genre_scores_gemma":[0.2792037,0.0126221,0.2710441,0.001077545,0.001673716,0.00001771993,0.1161932,0.001594037,0.3165739],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7463781,"threshold_uncertainty_score":0.9992531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481068878876265,"score_gpt":0.2305986957713427,"score_spread":0.21578800698258,"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."}}