{"id":"W4311569743","doi":"10.5194/egusphere-2022-835-rc2","title":"Comment on egusphere-2022-835","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Biome; Environmental science; Temperate climate; Temperate forest; Temperate rainforest; Biomass (ecology); Canopy; Ecology; Taiga; Atmospheric sciences; Ecosystem; Biology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001538186,0.0008828158,0.0007656588,0.001044959,0.001829208,0.003734121,0.001703278,0.01304954,0.3434434],"category_scores_gemma":[0.006793133,0.0003560978,0.00115889,0.001127585,0.0009260027,0.002611469,0.001844167,0.006819736,0.2285647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163485,"about_ca_system_score_gemma":0.002282237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02146478,"about_ca_topic_score_gemma":0.02698814,"domain_scores_codex":[0.9989921,0.00007312574,0.00007411865,0.000117999,0.0005313888,0.0002112381],"domain_scores_gemma":[0.9974787,0.0004923586,0.0001231433,0.0002237277,0.001256175,0.0004258665],"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":[0.00003022299,0.00000837389,0.00005533877,0.00003755821,0.000001365313,0.00004016872,0.000004965948,0.00001131528,0.0000628225,0.0004718447,0.9958977,0.003378403],"study_design_scores_gemma":[0.00001799313,0.000007870772,0.0004087117,0.00005745836,0.000001623448,0.00001145743,0.00001862721,0.00002810839,0.00008717889,0.0003192084,0.9990346,0.000007142893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0009097469,0.001694397,0.0009737117,0.2448919,0.32938,0.0007394868,0.02543905,0.004237223,0.3917345],"genre_scores_gemma":[0.004937546,0.001128385,0.0006390092,0.2883168,0.04721621,0.0005108262,0.007736301,0.00136754,0.6481475],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3434434,"threshold_uncertainty_score":0.9364983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601851537841521,"score_gpt":0.2585127809792865,"score_spread":0.2424942656008713,"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."}}