{"id":"W4311683705","doi":"10.5194/egusphere-2022-1120-rc2","title":"Comment on egusphere-2022-1120","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Deutsche Forschungsgemeinschaft","keywords":"Subsoil; Soil water; Environmental science; Topsoil; Grassland; Deforestation (computer science); Litter; Subarctic climate; Ecosystem; Microclimate; Soil science; Agroforestry; Hydrology (agriculture); Agronomy; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001258771,0.0007695048,0.0007279731,0.001007936,0.002200261,0.003063418,0.00182352,0.01372431,0.4723302],"category_scores_gemma":[0.006761,0.0003986098,0.0009906518,0.001033584,0.001076328,0.002248603,0.001993347,0.007017897,0.3231378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204388,"about_ca_system_score_gemma":0.001931642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997754,"about_ca_topic_score_gemma":0.02965344,"domain_scores_codex":[0.999063,0.00007235734,0.00007165184,0.0001175532,0.0004747689,0.0002007872],"domain_scores_gemma":[0.9972692,0.0004569596,0.0001029498,0.0002409533,0.00133203,0.0005978726],"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":[0.00002015999,0.000009617355,0.00004617969,0.00002707664,9.460702e-7,0.00004256139,0.000004546593,0.000005748238,0.00004573457,0.0002514145,0.9958524,0.003693699],"study_design_scores_gemma":[0.00001370777,0.000008009999,0.0003256637,0.00004890998,0.000001080062,0.00001246156,0.00002177431,0.00001601721,0.00005407211,0.0001869286,0.9993056,0.000005659059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0007684948,0.001075384,0.0005324309,0.218841,0.3733796,0.0006209553,0.007638093,0.003024759,0.3941193],"genre_scores_gemma":[0.002499639,0.0005568381,0.0002952712,0.1857924,0.03626807,0.000273709,0.002109448,0.0006951846,0.7715094],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4723302,"threshold_uncertainty_score":0.752657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07799817045052428,"score_gpt":0.2924665745377465,"score_spread":0.2144684040872223,"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."}}