{"id":"W1571042585","doi":"10.1002/2013eo420004","title":"Reconstructing Past Sea Ice","year":2013,"lang":"en","type":"article","venue":"Eos","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Sea ice; Proxy (statistics); Arctic ice pack; Oceanography; Geology; Context (archaeology); Climatology; Arctic; Cryosphere; Computer science; Paleontology","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":[0.0004510113,0.0003412293,0.0003363618,0.002649275,0.0003377878,0.001349056,0.0004513216,0.0005637127,0.002211683],"category_scores_gemma":[0.002819289,0.0003854634,0.0003709035,0.001993773,0.0003717142,0.001658248,0.0008428651,0.0005929018,0.000954162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004865614,"about_ca_system_score_gemma":0.0005442174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196263,"about_ca_topic_score_gemma":0.02152569,"domain_scores_codex":[0.999855,0.00002797243,0.00001273942,0.00005561094,0.00002430252,0.00002427405],"domain_scores_gemma":[0.9994127,0.0001429974,0.00008712675,0.0001270221,0.0001378304,0.00009244306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002396933,0.0001054859,0.6104913,0.0003216527,0.0003602302,0.0008336667,0.00113145,0.133604,0.01170116,0.009569664,0.007289589,0.224352],"study_design_scores_gemma":[0.00004492202,0.0001226037,0.4279173,0.0003492732,0.0002205317,0.0007408873,0.001901679,0.4668814,0.005208033,0.03413044,0.06237264,0.0001103389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9375623,0.004066922,0.0337223,0.0007844192,0.0001093636,0.00002104019,0.009080463,0.0005812028,0.01407188],"genre_scores_gemma":[0.9816685,0.001241607,0.01101071,0.00003920763,0.00005986094,0.000007982828,0.004978292,0.00005954801,0.0009341813],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01196263,"threshold_uncertainty_score":0.02378601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859578511630709,"score_gpt":0.2237348211434368,"score_spread":0.2051390360271298,"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."}}