{"id":"W3000495302","doi":"","title":"Sea-Ice Thickness Monitoring from Sensor Equipped Inuit Sleds","year":2013,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Sea ice; Remote sensing; Geodesy; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002438142,0.0003556081,0.0003458792,0.00007512284,0.0003093976,0.0004294279,0.0005209725,0.0002265567,0.004686171],"category_scores_gemma":[0.00008302051,0.0003021232,0.00009728018,0.0001798239,0.0001043397,0.0008960237,0.00005026942,0.0004713265,0.003225538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002257168,"about_ca_system_score_gemma":0.0002607318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04220496,"about_ca_topic_score_gemma":0.002830096,"domain_scores_codex":[0.9975771,0.0001002932,0.0004783983,0.0005403146,0.0005404842,0.0007634518],"domain_scores_gemma":[0.998492,0.0002951446,0.0002151621,0.0003855091,0.0002236468,0.0003885607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005339642,0.000078281,0.8176585,0.00004232429,0.0001373988,0.0001187986,0.002500089,0.009776029,0.02072737,0.0001788994,0.000557707,0.1481712],"study_design_scores_gemma":[0.0002937413,0.00006822657,0.9771852,0.00005913304,0.00003211576,0.00001869086,0.001038546,0.01703608,0.001600189,0.001793178,0.0004013808,0.0004734944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889655,0.0000552366,0.0002643827,0.0009389696,0.001188728,0.0002614576,0.0001057486,0.0001306734,0.008089272],"genre_scores_gemma":[0.989907,0.00007843194,0.006599226,0.0003701959,0.001024192,0.000005783114,0.0002068887,0.0000132499,0.00179509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1595268,"threshold_uncertainty_score":0.9999431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439489409055878,"score_gpt":0.2343060799723602,"score_spread":0.2099111858818015,"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."}}