{"id":"W2119958905","doi":"10.1002/2013eo400006","title":"Computing and Representing Sea Ice Trends: Toward a Community Consensus","year":2013,"lang":"en","type":"article","venue":"Eos","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Confusion; Sea ice; The arctic; Climatology; Arctic; Baseline (sea); Environmental science; Meteorology; Physical geography; Geography; Oceanography; Geology","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":[0.1161933,0.001886957,0.004166994,0.01316608,0.003855814,0.02413568,0.0106697,0.01002261,0.004666121],"category_scores_gemma":[0.2750553,0.00214873,0.004012079,0.01600094,0.007077903,0.03811514,0.01855296,0.01121607,0.004387572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004188234,"about_ca_system_score_gemma":0.0136665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014623,"about_ca_topic_score_gemma":0.006589663,"domain_scores_codex":[0.9243211,0.0292394,0.01248298,0.01099305,0.02137112,0.001592364],"domain_scores_gemma":[0.7865341,0.07268601,0.005140184,0.030418,0.1000094,0.005212337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001296078,0.000300461,0.004773425,0.001886857,0.000397625,0.0002166709,0.006823751,0.01862521,0.001920006,0.2955894,0.07063037,0.5987067],"study_design_scores_gemma":[0.0000500645,0.00008022754,0.001550636,0.002853143,0.0001263781,0.0001240803,0.005381781,0.06664135,0.002128399,0.7118289,0.2090595,0.0001755818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.004258682,0.003296001,0.9580955,0.0262494,0.001013627,0.0003023881,0.0005392261,0.001601871,0.004643339],"genre_scores_gemma":[0.0302011,0.003903195,0.955501,0.0028626,0.001168093,0.0005186879,0.002912185,0.0009799587,0.001953134],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1161933,"threshold_uncertainty_score":0.6144961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531931831537743,"score_gpt":0.2392169407492944,"score_spread":0.213897622433917,"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."}}