{"id":"W6925204043","doi":"10.1594/pangaea.942397","title":"Arctic snow depth and sea ice thickness","year":2022,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Arctic ice pack; Arctic; Snow; Archipelago; Arctic dipole anomaly; Antarctic sea ice; Sea ice thickness","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591118,0.001655352,0.0009702839,0.002678671,0.0004894909,0.001048028,0.001464678,0.00104866,0.01457095],"category_scores_gemma":[0.001888537,0.000412221,0.00107082,0.004075288,0.000244782,0.000754653,0.0007870754,0.00102325,0.02632352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008314443,"about_ca_system_score_gemma":0.0009699631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02887206,"about_ca_topic_score_gemma":0.04685057,"domain_scores_codex":[0.9994256,0.00005715665,0.00006160682,0.0002475003,0.000126779,0.00008141621],"domain_scores_gemma":[0.9992969,0.0001033916,0.000101394,0.0001542351,0.0002786173,0.00006540723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001586672,0.00008354644,0.01452822,0.0008176791,0.0001512822,0.00009869557,0.00006056348,0.002165149,0.0005572127,0.0006845612,0.97268,0.008014399],"study_design_scores_gemma":[0.000295741,0.00004324677,0.08027155,0.0003797351,0.00008436226,0.0002395822,0.0001825779,0.003667988,0.001105275,0.001235198,0.9124226,0.00007213155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001164997,0.0000580849,0.00007668231,0.00002082207,0.00002202504,0.000008056507,0.9978529,0.0001577239,0.0006386184],"genre_scores_gemma":[0.001195572,0.00003084695,0.0001981757,0.00001028881,0.000004933337,0.0000265405,0.9981811,0.00001717561,0.0003354653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02887206,"threshold_uncertainty_score":0.05740803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04567198203002215,"score_gpt":0.2636857940184966,"score_spread":0.2180138119884744,"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."}}