{"id":"W4220910493","doi":"10.5194/tc-2022-19-rc1","title":"Comment on tc-2022-19","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Ecotone; Snow; Taiga; Physical geography; Boreal; Environmental science; Vegetation (pathology); Snowmelt; Arctic; Arctic vegetation; Climatology; Shrub; Geology; Atmospheric sciences; Ecology; Geography; Geomorphology; Forestry; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.003027158,0.00130715,0.001503206,0.001332073,0.002794746,0.00559313,0.003684487,0.03584382,0.05447553],"category_scores_gemma":[0.01239727,0.0005818096,0.002018141,0.002543439,0.001446612,0.002623309,0.001596289,0.01685051,0.05627874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00795602,"about_ca_system_score_gemma":0.01363997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1403651,"about_ca_topic_score_gemma":0.138871,"domain_scores_codex":[0.9966179,0.0002066637,0.0003025816,0.0002908129,0.001870074,0.0007119568],"domain_scores_gemma":[0.9939224,0.0010694,0.0002767741,0.0003681855,0.003718765,0.0006444711],"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":[0.0000706546,0.00002369474,0.0001801928,0.00008245878,0.000005460647,0.000130926,0.0000219068,0.00004666787,0.0001622407,0.001138039,0.9957381,0.002399566],"study_design_scores_gemma":[0.00003865251,0.00001775729,0.001424742,0.0001405854,0.000009395275,0.00003894865,0.00006482375,0.0001047775,0.0001720307,0.0008862642,0.9970713,0.00003074449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001745255,0.004044623,0.001189309,0.3540151,0.3348241,0.001221957,0.04241718,0.002299162,0.2582434],"genre_scores_gemma":[0.006421018,0.001606552,0.001001952,0.6588747,0.03669936,0.001131147,0.009462592,0.0006018711,0.2842007],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1403651,"threshold_uncertainty_score":0.2790961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05984016500720154,"score_gpt":0.2779068677211964,"score_spread":0.2180667027139949,"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."}}