{"id":"W4289866266","doi":"10.5194/tc-16-3181-2022","title":"Thickness of multi-year sea ice on the northern Canadian polar shelf: a second look after 40 years","year":2022,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Natural Resources Canada; Government of Nunavut","keywords":"Geology; Sea ice; Polar; Ice shelf; Arctic ice pack; Antarctic sea ice; Geodesy; Oceanography; Cryosphere","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004158064,0.0001412162,0.0001397404,0.00002126159,0.0004812592,0.00003577787,0.0005363414,0.00005280083,0.031182],"category_scores_gemma":[0.00001330002,0.00009124009,0.00009018202,0.0002188296,0.0001649582,0.00006251421,0.00004172662,0.0004622514,0.0004148132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000280442,"about_ca_system_score_gemma":0.0003015824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.262579,"about_ca_topic_score_gemma":0.8962473,"domain_scores_codex":[0.9987196,0.000181488,0.0001712842,0.0002175573,0.0003378622,0.0003722252],"domain_scores_gemma":[0.9991724,0.0001914251,0.00007995508,0.000390232,0.00003438257,0.000131629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001534481,0.00003934088,0.9804943,0.00002512128,0.00008332423,0.0001102927,0.004662847,0.004031125,0.000003278876,0.0001495524,0.001762545,0.008484829],"study_design_scores_gemma":[0.0003393225,0.0001565653,0.88733,0.00001700289,0.00003968161,0.00004843577,0.009322794,0.01072596,0.000001699755,0.0003266705,0.09142324,0.0002686248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911557,0.0002271415,0.00001827655,0.000992725,0.0003185911,0.0002554581,0.0008059407,0.00001663286,0.006209535],"genre_scores_gemma":[0.9931182,0.000007662301,0.00009003409,0.002641775,0.00006978757,0.000006894573,0.00005158385,0.0000106858,0.004003351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6336684,"threshold_uncertainty_score":0.9697036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007106714740353973,"score_gpt":0.1778878944768153,"score_spread":0.1707811797364613,"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."}}