{"id":"W4382791918","doi":"10.1080/01431161.2023.2221803","title":"Investigation of the sensitivity response of Touzi target scattering decomposition to modeled early ice growth","year":2023,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Canadian Space Agency; Environment and Climate Change Canada","keywords":"Sea ice; Scattering; Geology; Bay; Synthetic aperture radar; Decomposition; Salinity; Remote sensing; Environmental science; Optics; Oceanography; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009624368,0.00006802379,0.0001339643,0.0001994936,0.0000541161,0.00002057447,0.0001424675,0.00003150537,0.0000081755],"category_scores_gemma":[0.000294956,0.0000524682,0.00009031611,0.0002421712,0.00006585674,0.0001882572,0.00002853318,0.0001193992,0.000005703444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001951322,"about_ca_system_score_gemma":0.00007813748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000917703,"about_ca_topic_score_gemma":0.00008800879,"domain_scores_codex":[0.9987892,0.0001977112,0.0003499978,0.00007757304,0.0004838889,0.0001016369],"domain_scores_gemma":[0.9986838,0.0003442308,0.0003625969,0.00007196171,0.0004811271,0.00005626025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003602786,0.00001431443,0.200854,0.00006386061,0.0003359638,0.0002885743,0.009788386,0.2532415,0.4323895,0.00006253169,0.0001849553,0.09917364],"study_design_scores_gemma":[0.000211497,0.00008212257,0.5564081,0.0003070364,0.00001728433,0.0002781353,0.0002270804,0.4204122,0.0198326,0.002142148,0.00001302202,0.00006871855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635896,0.000003341363,0.03281172,0.002916139,0.0005537647,0.00004648489,0.00001814238,0.000006314876,0.00005450702],"genre_scores_gemma":[0.9722785,0.000006907379,0.02737645,0.0002061986,0.0001077514,1.940448e-9,0.000006146808,0.000003241067,0.00001485101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4125569,"threshold_uncertainty_score":0.2139591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495889929278224,"score_gpt":0.2419690081748041,"score_spread":0.2270101088820218,"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."}}