{"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 cryosphere","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005045297,0.0004298556,0.0002841826,0.003581847,0.001489424,0.0009785099,0.0006222869,0.0003174147,0.001304166],"category_scores_gemma":[0.0008109404,0.0002282056,0.0005051469,0.003289485,0.0003437369,0.0005581998,0.0007931719,0.0003093498,0.0002602743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005424869,"about_ca_system_score_gemma":0.004502915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9070801,"about_ca_topic_score_gemma":0.9699654,"domain_scores_codex":[0.9996847,0.000007234884,0.00001439069,0.0000644121,0.0001290661,0.0001001567],"domain_scores_gemma":[0.9985752,0.00003572365,0.0002115332,0.00005226546,0.0009413486,0.0001838977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008141759,0.00001372756,0.9824791,0.00006647125,0.0001212748,0.0002287598,0.001195132,0.0003021421,0.002228058,0.00007123181,0.0008910446,0.01232168],"study_design_scores_gemma":[3.213147e-7,0.000004862693,0.9984782,0.00000724725,0.000008741493,0.0000329178,0.0002095189,0.00006822177,0.0001001851,0.000003392325,0.001082849,0.000003628814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895765,0.001419813,0.0001473452,0.00006866882,0.00001364747,0.00001061768,0.006042419,0.00001535245,0.002705734],"genre_scores_gemma":[0.9921702,0.0007127938,0.0003182614,0.00003835084,0.000009827832,0.00001233619,0.004234914,0.00000917283,0.002494145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09291989,"threshold_uncertainty_score":0.1869342,"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."}}