{"id":"W3190931866","doi":"10.5194/bg-2021-136-ac1","title":"Reply on RC1 and RC2","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Span (engineering); Permafrost; Greenhouse gas; Environmental science; Atmosphere (unit); Meteorology; Climate change; Atmospheric sciences; Lag; Benchmark (surveying); Carbon cycle; Physics; Computer science; Geology; Engineering; Geodesy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00695927,0.001174165,0.001656763,0.001582541,0.005165491,0.006926961,0.005374834,0.06303924,0.062006],"category_scores_gemma":[0.0706889,0.001014436,0.002294513,0.00161896,0.003845525,0.005805256,0.0039734,0.04897395,0.05814993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006221566,"about_ca_system_score_gemma":0.00751467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202075,"about_ca_topic_score_gemma":0.01148158,"domain_scores_codex":[0.9926555,0.00137086,0.0008003656,0.001259,0.002804042,0.001110154],"domain_scores_gemma":[0.9768316,0.007867624,0.0009504908,0.00150022,0.009870278,0.002979801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001391694,0.000005404649,0.00004955015,0.00001969565,0.000003381727,0.00006234684,0.00002089398,0.000008041868,0.00002849461,0.0004932408,0.9977548,0.001540238],"study_design_scores_gemma":[0.00002306814,0.000009903039,0.0003386308,0.00008265715,0.000008467838,0.0001131901,0.0001408847,0.00005276483,0.0001466939,0.001332907,0.9977196,0.00003112229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001196225,0.0008892507,0.0001206431,0.90292,0.09031856,0.00004049623,0.0001867175,0.0001138747,0.005290774],"genre_scores_gemma":[0.001421252,0.0004245672,0.0001439865,0.9428392,0.03490889,0.00008554474,0.00008910783,0.00008018187,0.02000728],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06303924,"threshold_uncertainty_score":0.2074307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151571130432764,"score_gpt":0.234837612855395,"score_spread":0.2233219015510674,"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."}}