{"id":"W7035920311","doi":"","title":"Application of Sentinel-1 data to quantify Arctic Coastal Retreat","year":2021,"lang":"en","type":"dissertation","venue":"Research Repository (Delft University of Technology)","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Erosion; Radar; Synthetic aperture radar; Articular cartilage damage; Radar tracker; Front (military)","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":[0.00070985,0.000302683,0.0001910205,0.001066586,0.0001969092,0.0004080384,0.000211833,0.0001900618,0.000290308],"category_scores_gemma":[0.000727034,0.00012859,0.0002056306,0.0008779178,0.0001121995,0.0002359344,0.0002289981,0.0001763497,0.000116029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124917,"about_ca_system_score_gemma":0.0007254999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07062928,"about_ca_topic_score_gemma":0.1311531,"domain_scores_codex":[0.9997572,0.00003556974,0.00001867389,0.00004977063,0.00009710264,0.0000415919],"domain_scores_gemma":[0.9995829,0.00005831104,0.000068477,0.00002794557,0.0002352291,0.00002707792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000279569,0.0001689654,0.7149644,0.0002260026,0.000247006,0.0004003076,0.000810355,0.05390017,0.08396212,0.0004848776,0.002523754,0.1420324],"study_design_scores_gemma":[0.00002479402,0.0001438654,0.7930048,0.00004657234,0.0000921873,0.0001899736,0.001488551,0.1827526,0.01805006,0.0002410315,0.003909171,0.0000565287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987325,0.0001539509,0.008597436,0.00004390513,0.00002310304,0.00004181122,0.001972585,0.0001406596,0.001701669],"genre_scores_gemma":[0.9716842,0.0001518174,0.02446783,0.00002967213,0.000010788,0.00002537116,0.00306061,0.0000157152,0.0005538714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07062928,"threshold_uncertainty_score":0.1404364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757184010663399,"score_gpt":0.281597565587043,"score_spread":0.244025725480409,"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."}}