{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000275834,0.0000854696,0.0001134729,0.00003606901,0.0003887515,0.00007147997,0.0001155393,0.00003729282,0.0007255959],"category_scores_gemma":[0.0000843045,0.00007204162,0.00002603269,0.0001017701,0.000123213,0.00007919373,0.00002880336,0.0002626275,0.0001132502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000202421,"about_ca_system_score_gemma":0.00001178387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452399,"about_ca_topic_score_gemma":0.0005454514,"domain_scores_codex":[0.9992622,0.0001439191,0.0001386293,0.0001220909,0.0001054243,0.0002278027],"domain_scores_gemma":[0.9992504,0.0004294702,0.00004124313,0.0001545671,0.00002871584,0.00009560597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003999394,0.000008900557,0.8012624,0.00002132979,0.00001349957,0.000006329596,0.002039097,0.0001278201,0.00001415988,0.00001967838,0.0007382334,0.1957445],"study_design_scores_gemma":[0.0001425416,0.00003558132,0.8695241,0.00001811891,0.000009731426,0.00006101573,0.004315642,0.1248323,0.000007617202,0.000382149,0.0005502305,0.0001209789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767032,0.00005432655,0.000192334,0.0008220379,0.0001028501,0.00006278492,0.00001046273,0.00004894153,0.02200302],"genre_scores_gemma":[0.9968848,0.000007650803,0.002356272,0.0003326792,0.00006600492,2.348266e-7,0.00003703359,0.000002418971,0.000312891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1956236,"threshold_uncertainty_score":0.9819718,"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."}}