{"id":"W4298395311","doi":"10.5194/essd-2022-245-rc1","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; Land use, land-use change and forestry; Environmental science; Land use; Carbon sink; Vegetation (pathology); Global change; Sink (geography); Climate model; Environmental resource management; Geography; Ecology","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":[0.002716671,0.0009610155,0.001203489,0.001003695,0.002723189,0.004858448,0.003005409,0.03900411,0.1436917],"category_scores_gemma":[0.01384099,0.0006075241,0.002114509,0.001451908,0.001662591,0.002784483,0.002275143,0.01779407,0.1138964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004259232,"about_ca_system_score_gemma":0.004527837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02931079,"about_ca_topic_score_gemma":0.03511482,"domain_scores_codex":[0.9975306,0.0002065053,0.0002475496,0.0002873889,0.001159268,0.0005686332],"domain_scores_gemma":[0.996148,0.001231124,0.0001816513,0.0002582441,0.001632511,0.0005484786],"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":[0.00003585584,0.0000129885,0.00009663414,0.00005428356,0.000002364913,0.00009989931,0.00001226488,0.00001716631,0.00007009409,0.001065362,0.996088,0.002445077],"study_design_scores_gemma":[0.00002922805,0.00001447269,0.0007515405,0.0001007314,0.000004028686,0.00002832742,0.00004234675,0.00004142334,0.00009170926,0.0008680068,0.9980139,0.00001434759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0008855143,0.001990741,0.0005556176,0.5310701,0.2168174,0.0005153458,0.01469098,0.001452831,0.2320216],"genre_scores_gemma":[0.002500053,0.0005167832,0.0002329144,0.718188,0.0179537,0.0003643893,0.001878608,0.0002264764,0.2581392],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1436917,"threshold_uncertainty_score":0.4806966,"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."}}