{"id":"W3168254113","doi":"10.3390/rs13112168","title":"3D SAR Speckle Offset Tracking Potential for Monitoring Landfast Ice Growth and Displacement","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Geodesy; Offset (computer science); Sea ice; Synthetic aperture radar; Shore; Remote sensing; Geomorphology; Climatology; Oceanography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001925414,0.0002203499,0.0001272248,0.0007909864,0.0001430851,0.0003423507,0.0001107648,0.0001077822,0.0003843765],"category_scores_gemma":[0.0003189189,0.00008828768,0.0001213498,0.000765761,0.00009881755,0.0002240854,0.000164832,0.000109085,0.0001408667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002715629,"about_ca_system_score_gemma":0.000425967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02457582,"about_ca_topic_score_gemma":0.0883297,"domain_scores_codex":[0.9999449,0.000005658523,0.000002429999,0.00001477989,0.00002124041,0.00001103991],"domain_scores_gemma":[0.9998789,0.00001902922,0.00002864304,0.000009138737,0.00005368164,0.00001074586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002299549,0.00005523262,0.7584216,0.0000933078,0.00008250224,0.0001555365,0.0003268762,0.02533638,0.06816156,0.0004705277,0.0009697389,0.1456968],"study_design_scores_gemma":[0.000009802178,0.00006618398,0.820365,0.00002410063,0.00007838523,0.0001797956,0.0003872484,0.1609751,0.01441347,0.0002751863,0.003195508,0.00003029159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881627,0.0001882695,0.008651452,0.00002563787,0.00001190542,0.00001190147,0.0007479318,0.00008985317,0.002110403],"genre_scores_gemma":[0.9885917,0.0002012016,0.009621109,0.00001257568,0.000009707096,0.00001055085,0.0009585574,0.00001115802,0.0005834356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02457582,"threshold_uncertainty_score":0.04886556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278365002209493,"score_gpt":0.2250983067824517,"score_spread":0.2123146567603568,"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."}}