{"id":"W4242594291","doi":"10.7930/soccr2.2018.rib","title":"Report in Brief. Second State of the Carbon Cycle Report","year":2018,"lang":"en","type":"report","venue":"","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Carbon cycle; Environmental science; Computer science; Programming language; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001313438,0.0003428598,0.0005196545,0.00005409166,0.00005034194,0.00001861175,0.0004046474,0.0002130682,0.01505774],"category_scores_gemma":[0.0001616783,0.000237968,0.0002114716,0.0002679577,0.0005084123,0.0001107539,0.0008811482,0.0003314134,0.00008611612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114673,"about_ca_system_score_gemma":0.0001062723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03136957,"about_ca_topic_score_gemma":0.02884772,"domain_scores_codex":[0.9964744,0.00005060257,0.001070376,0.0006914992,0.001251286,0.0004617898],"domain_scores_gemma":[0.9974936,0.000030711,0.0009296006,0.001415932,0.0000123617,0.0001177752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000024586,0.0003282903,0.9093731,0.0001655445,0.00007444593,0.004663748,0.0006471049,0.0002144691,0.006245332,2.11686e-7,0.07346725,0.004795916],"study_design_scores_gemma":[0.0002123967,0.00007192469,0.7823786,0.000142048,0.00004488661,0.004757451,0.00005834414,0.0000606846,0.008650779,0.0002548416,0.2028806,0.0004874959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5525842,0.00004041312,5.282764e-7,0.00004875161,0.0004941786,0.0002681846,0.00003413374,0.00001327644,0.4465164],"genre_scores_gemma":[0.8049707,0.0004023494,0.00004698462,0.000132129,0.0001541353,0.00002740816,0.0001025062,0.00007589047,0.1940879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2524284,"threshold_uncertainty_score":0.9888733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476736268201699,"score_gpt":0.2827631324231657,"score_spread":0.2479957697411487,"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."}}