{"id":"W4306882555","doi":"10.5194/essd-2022-245-rc3","title":"Comment on essd-2022-245","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":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Greenhouse gas; Climate change; Environmental science; Vegetation (pathology); Land use; Carbon sink; Land use, land-use change and forestry; Sink (geography); Span (engineering); Meteorology; Geography; Environmental resource management; Climatology; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002944835,0.0009944552,0.001292342,0.001023997,0.00307024,0.005492037,0.003187911,0.0411143,0.1624386],"category_scores_gemma":[0.01440115,0.0006342216,0.002228446,0.001463481,0.001693765,0.002986501,0.002373611,0.01814468,0.1374385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0047428,"about_ca_system_score_gemma":0.005338025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03450076,"about_ca_topic_score_gemma":0.04475066,"domain_scores_codex":[0.9973763,0.0002073819,0.0002552292,0.00030727,0.001241394,0.000612347],"domain_scores_gemma":[0.9961243,0.001161335,0.0001711731,0.0002514465,0.001714771,0.0005769877],"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":[0.00003240223,0.00001225609,0.00008393839,0.00004544559,0.000002153321,0.00008947047,0.0000122727,0.00001465537,0.0000596855,0.001072031,0.9965128,0.002062843],"study_design_scores_gemma":[0.00003031354,0.00001415362,0.0006614933,0.0000964771,0.000003728738,0.00002707224,0.00004481354,0.00003720737,0.00008525343,0.0009190036,0.9980664,0.0000140368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007869823,0.001822247,0.0005705659,0.5227205,0.2048825,0.0005357983,0.01521749,0.001624811,0.2518392],"genre_scores_gemma":[0.002105262,0.0004528482,0.0002276351,0.6973575,0.01549527,0.0003441964,0.001901603,0.0002572402,0.2818584],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1624386,"threshold_uncertainty_score":0.5434113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308091731617366,"score_gpt":0.2418206681538886,"score_spread":0.2287397508377149,"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."}}