{"id":"W4414355079","doi":"10.5194/egusphere-2025-3214","title":"Iceberg Detection Based on the Swin Transformer Algorithm and SAR Imagery: Case Studies off Prydz Bay and the Ross Sea, Antarctic","year":2025,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cascades (Canada)","funders":"","keywords":"Iceberg; Sea ice; Submarine pipeline; Synthetic aperture radar; Bay","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":[0.001416445,0.0007718689,0.0004118943,0.001299755,0.0003311656,0.0005765966,0.0006166221,0.0003963014,0.0002661679],"category_scores_gemma":[0.001467907,0.0001851463,0.0004639509,0.000862784,0.0004522102,0.0005690139,0.0003926902,0.0002762759,0.0001047184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007040553,"about_ca_system_score_gemma":0.0005580984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03280319,"about_ca_topic_score_gemma":0.04692161,"domain_scores_codex":[0.9996405,0.0001000066,0.00002760373,0.00007594875,0.00009768776,0.00005825547],"domain_scores_gemma":[0.9995298,0.0001679487,0.00005564616,0.00004844037,0.0001542381,0.00004395526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001301274,0.001005126,0.3246424,0.0004418604,0.000330002,0.005951396,0.001364957,0.4053305,0.04278047,0.001102033,0.002539371,0.2132105],"study_design_scores_gemma":[0.00005033569,0.0002396454,0.07674467,0.00001851627,0.00007248858,0.0002928221,0.0006396543,0.9101555,0.01084871,0.0002720567,0.000642314,0.00002332956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928365,0.00009532682,0.006235467,0.00005418816,0.00001031001,0.00005443792,0.0001238859,0.00009896544,0.0004909586],"genre_scores_gemma":[0.9858327,0.00009714421,0.01343633,0.00001341599,0.000006001047,0.00001306533,0.0002669382,0.0000144017,0.0003200775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03280319,"threshold_uncertainty_score":0.06522447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008161886679398605,"score_gpt":0.2231843859744508,"score_spread":0.2150224992950522,"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."}}