{"id":"W4293103740","doi":"10.5194/essd-2022-245-cc3","title":"Reply on CC2","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":"Deforestation (computer science); Greenhouse gas; Land use, land-use change and forestry; Climate change; Environmental science; Land use; Vegetation (pathology); Global change; Carbon sink; Sink (geography); Environmental resource management; Natural resource economics; Geography; Ecology; Economics","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":[0.00309392,0.001342694,0.001277197,0.001177576,0.00302926,0.006327363,0.002903408,0.02473662,0.1749505],"category_scores_gemma":[0.01906828,0.0006047085,0.001952105,0.00114517,0.002951946,0.004795242,0.002874254,0.02228438,0.1317822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003461752,"about_ca_system_score_gemma":0.004277603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006443009,"about_ca_topic_score_gemma":0.006610328,"domain_scores_codex":[0.9971442,0.0003586151,0.0002758314,0.0005430821,0.001136892,0.0005415128],"domain_scores_gemma":[0.9955779,0.00127551,0.0001937374,0.000404709,0.001684842,0.0008634157],"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":[0.00001393081,0.000006444059,0.00003480985,0.00002679758,0.000002166995,0.00003768814,0.000008492305,0.000009535525,0.00003644783,0.001065468,0.9949333,0.003824931],"study_design_scores_gemma":[0.000009771612,0.000005304375,0.0001564324,0.00005066065,0.000001879192,0.00002436362,0.00002502205,0.00001853492,0.00004053718,0.0006939656,0.9989647,0.000008821074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002495722,0.002545328,0.0003370407,0.4788064,0.4585598,0.0001648989,0.001272468,0.000482077,0.05758246],"genre_scores_gemma":[0.002432955,0.001967958,0.0003552499,0.6609174,0.1411322,0.0003540984,0.0007184366,0.0004081012,0.1917137],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1749505,"threshold_uncertainty_score":0.5852677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310107778735756,"score_gpt":0.2396225001480544,"score_spread":0.2265214223606968,"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."}}