{"id":"W2121969361","doi":"10.1109/igarss.2002.1025677","title":"Earth observation for ice hazard support","year":2003,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sea ice; Earth observation; Iceberg; Hazard; Environmental science; Remote sensing; Meteorology; Geology; Computer science; Climatology; Engineering; Satellite; Geography; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008738979,0.0007135369,0.0004760716,0.001691244,0.0006568203,0.001184653,0.0008826349,0.0007811859,0.2527787],"category_scores_gemma":[0.003585413,0.0001733819,0.0002471077,0.00238967,0.0001232733,0.0008452696,0.001217472,0.0009494532,0.1072884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007369238,"about_ca_system_score_gemma":0.002647314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03512001,"about_ca_topic_score_gemma":0.02667322,"domain_scores_codex":[0.9994977,0.00005011306,0.00004179719,0.00008122029,0.0002409776,0.00008821779],"domain_scores_gemma":[0.9972773,0.0002324562,0.0002967245,0.0004440269,0.001322086,0.0004273774],"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":[0.0001275222,0.00006681791,0.002284848,0.0001142735,0.000008943471,0.00003978568,0.0000235995,0.00007342117,0.000221547,0.0009140088,0.9421472,0.05397801],"study_design_scores_gemma":[0.0001203261,0.00003161878,0.01149303,0.0000817027,0.000009463918,0.00002830987,0.00004969248,0.000316422,0.0001555912,0.0005283012,0.9871756,0.000009970317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003994541,0.0009628965,0.001731772,0.007956657,0.001627735,0.0007927138,0.6576418,0.003224466,0.3220674],"genre_scores_gemma":[0.02969986,0.002160744,0.006567185,0.002771496,0.0008255926,0.001004613,0.6707082,0.0006845066,0.2855777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2527787,"threshold_uncertainty_score":0.8456291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462782847973929,"score_gpt":0.2209617955682719,"score_spread":0.1963339670885326,"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."}}