{"id":"W6922040877","doi":"10.11583/dtu.21762848.v2","title":"Raw AI4Arctic Sea Ice Challenge Test Dataset","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Open water; Synthetic aperture radar; Sea ice concentration; Satellite; Sea ice thickness; Data set; Earth observation satellite; Earth observation","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":[0.001008251,0.003347425,0.001308689,0.00231095,0.001098605,0.001261907,0.00264081,0.001758,0.01461589],"category_scores_gemma":[0.002305503,0.0003867233,0.001590826,0.002725259,0.0006090048,0.001437174,0.001622734,0.002166575,0.02164419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149171,"about_ca_system_score_gemma":0.00158761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03231337,"about_ca_topic_score_gemma":0.0732058,"domain_scores_codex":[0.9989912,0.0001291368,0.00008994319,0.0002686066,0.0003422796,0.0001789309],"domain_scores_gemma":[0.9987875,0.0001668006,0.00009366091,0.0002870294,0.0005177345,0.0001472917],"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":[0.0002527326,0.0002596511,0.003473004,0.0004934532,0.00009555613,0.0001653872,0.00002715129,0.003399222,0.0008726815,0.0002177823,0.975779,0.0149645],"study_design_scores_gemma":[0.0006088385,0.000316998,0.04827487,0.0004738819,0.0001377228,0.0006029851,0.0005000992,0.02884983,0.00641944,0.001562794,0.912073,0.0001795219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01347803,0.0007469833,0.0008556042,0.0004136832,0.000697925,0.0002003173,0.9732931,0.003604124,0.006710289],"genre_scores_gemma":[0.004045047,0.00007791101,0.0009763153,0.00008752479,0.00003638024,0.00009465212,0.9933338,0.0001075519,0.001240867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03231337,"threshold_uncertainty_score":0.06425059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.135794943350256,"score_gpt":0.3449802943604599,"score_spread":0.2091853510102039,"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."}}