{"id":"W2008357767","doi":"10.1080/07038992.2001.10854883","title":"Sea Ice Products for EUMETSAT Satellite Application Facility","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite; Sea ice; Geography; Remote sensing; Oceanography; Environmental science; Meteorology; Geology; Engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007852966,0.0009065066,0.0003867305,0.001852816,0.000374386,0.00121935,0.0007339792,0.0004710071,0.04542397],"category_scores_gemma":[0.0009169059,0.0002486695,0.0004383931,0.002365112,0.00009198258,0.001101553,0.0006644169,0.0006057122,0.04063032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004159829,"about_ca_system_score_gemma":0.0005850259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006649448,"about_ca_topic_score_gemma":0.007297405,"domain_scores_codex":[0.9996451,0.00003279528,0.00003313104,0.00006032687,0.0001819795,0.00004666103],"domain_scores_gemma":[0.9993857,0.00004343499,0.00005233827,0.0001031452,0.0003840221,0.00003144763],"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":[0.0009909205,0.0000985736,0.01035919,0.0005594388,0.0001318007,0.0003037196,0.0001576023,0.005897112,0.01503807,0.004779296,0.6890144,0.2726699],"study_design_scores_gemma":[0.0002674902,0.00008599285,0.01973792,0.00009889762,0.00003729964,0.0001789451,0.0001103457,0.01570077,0.01258173,0.002664885,0.9484915,0.00004424005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03490376,0.00244223,0.0762607,0.00131104,0.000951266,0.001096474,0.6204833,0.05337659,0.2091747],"genre_scores_gemma":[0.03898717,0.0008936286,0.06333061,0.0004249986,0.0001922746,0.000514777,0.845844,0.003685464,0.04612706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04542397,"threshold_uncertainty_score":0.1519583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686680989654567,"score_gpt":0.2084818025616148,"score_spread":0.1916149926650691,"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."}}