{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007148096,0.0003265139,0.000167943,0.001800336,0.0001534974,0.001052784,0.0002176351,0.0001856712,0.001906914],"category_scores_gemma":[0.001117976,0.0001785862,0.0002971106,0.001245625,0.0001999585,0.0005787878,0.0005494326,0.0003110096,0.0006974197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288274,"about_ca_system_score_gemma":0.00027387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006916816,"about_ca_topic_score_gemma":0.006797142,"domain_scores_codex":[0.9996865,0.00004989223,0.00002217557,0.00008785208,0.0001053177,0.00004829462],"domain_scores_gemma":[0.9995638,0.0001126097,0.000104733,0.00006639848,0.0001346745,0.00001784749],"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":[0.0005276849,0.0001650179,0.249447,0.0005752073,0.000376087,0.0008542981,0.0007712852,0.1827697,0.07418016,0.005574582,0.004493154,0.4802659],"study_design_scores_gemma":[0.00003205322,0.00009961107,0.4413269,0.0001391606,0.0001597209,0.001105477,0.001132298,0.5006072,0.02860984,0.004993476,0.02165202,0.0001421585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898737,0.000639057,0.09330977,0.0002091567,0.00005578834,0.00007526467,0.005030133,0.001358285,0.009448768],"genre_scores_gemma":[0.9745617,0.0004872087,0.02081568,0.00002682184,0.00001472942,0.00003268334,0.002737419,0.00006321882,0.001260463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006916816,"threshold_uncertainty_score":0.01375312,"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."}}