{"id":"W2062550203","doi":"10.1029/2011eo130006","title":"A Pan‐Arctic Network to Study Past, Present, and Future Sea Ice Trends","year":2011,"lang":"en","type":"article","venue":"Eos","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Arctic; Oceanography; Sea ice; Arctic ice pack; Climate change; Arctic ecology; Marine geology; Arctic geoengineering; Marine ecosystem; Geography; Arctic vegetation; Environmental science; Ecosystem; Physical geography; Climatology; Geology; Ecology; Antarctic sea ice","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004607352,0.0005240238,0.0002648621,0.001581935,0.00135363,0.001604663,0.0009175937,0.0003580809,0.007676971],"category_scores_gemma":[0.001236342,0.0002770223,0.0002593454,0.002028123,0.0002751904,0.0007313085,0.001995302,0.0006505483,0.002405932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003231893,"about_ca_system_score_gemma":0.02216485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4445825,"about_ca_topic_score_gemma":0.6373288,"domain_scores_codex":[0.9995128,0.0001343296,0.00002803746,0.00007729809,0.0001466288,0.0001009067],"domain_scores_gemma":[0.9972491,0.00008375459,0.0001459176,0.0001010678,0.001212219,0.001208034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003467797,0.0001570272,0.1008672,0.0003570728,0.00009312714,0.0002465282,0.001933245,0.001848913,0.002213884,0.00274204,0.7400949,0.1490993],"study_design_scores_gemma":[0.00005640408,0.00005237261,0.1596884,0.0002719219,0.00003463227,0.00006471591,0.002383283,0.001639811,0.0007158226,0.000867578,0.8342006,0.00002452856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1546779,0.01781968,0.03955119,0.0610131,0.006104067,0.005748962,0.4828554,0.002443481,0.2297862],"genre_scores_gemma":[0.2664459,0.01111603,0.1199684,0.003750504,0.0008978326,0.004856245,0.3104178,0.0009081072,0.2816392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4445825,"threshold_uncertainty_score":0.8839894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653987003221351,"score_gpt":0.2150256479200689,"score_spread":0.1984857778878554,"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."}}