{"id":"W4311917581","doi":"10.5194/egusphere-2022-923-rc1","title":"Comment on egusphere-2022-923","year":2022,"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":"Carleton University; Environment and Climate Change Canada","funders":"Canadian Forest Service; U.S. Forest Service; Natural Resources Canada; Environment and Climate Change Canada","keywords":"Land cover; Distribution (mathematics); Product (mathematics); Vegetation (pathology); Remote sensing; Cover (algebra); Land use; Physical geography; Environmental science; Geography; Computer science; Mathematics; Ecology; Geometry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002067694,0.000868635,0.0008323753,0.001175405,0.002558537,0.004352932,0.002118792,0.0189463,0.3783404],"category_scores_gemma":[0.01127099,0.0004216129,0.001283932,0.001422058,0.001222613,0.003081462,0.00226395,0.008956729,0.248421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682216,"about_ca_system_score_gemma":0.003175343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02917454,"about_ca_topic_score_gemma":0.03463818,"domain_scores_codex":[0.9985451,0.0001087366,0.0001092933,0.0001564004,0.0007726867,0.0003079383],"domain_scores_gemma":[0.9964163,0.0007941649,0.0001519234,0.0002988019,0.001745533,0.0005932944],"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":[0.00001751703,0.000008107377,0.00004610116,0.0000256958,0.000001060212,0.00004585356,0.000005658318,0.000006988516,0.00003795029,0.0004877698,0.9969323,0.002384871],"study_design_scores_gemma":[0.00001690674,0.000007493111,0.0003189703,0.00004971585,0.000001479126,0.00001313215,0.00002287464,0.00002145037,0.00006408834,0.0003832684,0.9990932,0.000007523795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007237855,0.001286486,0.0007981901,0.3217994,0.2628692,0.0007127882,0.01722742,0.003856079,0.3907267],"genre_scores_gemma":[0.003270804,0.0007360803,0.0004285687,0.3607762,0.03402563,0.0004578511,0.004435176,0.001072428,0.5947972],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3783404,"threshold_uncertainty_score":0.8867219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321162308354362,"score_gpt":0.2402643121755834,"score_spread":0.2270526890920398,"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."}}