{"id":"W4293229384","doi":"10.5194/essd-2022-245-cc1","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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Greenhouse gas; Deforestation (computer science); Land use, land-use change and forestry; Environmental science; Climate change; Land use; Carbon sink; Vegetation (pathology); Global change; Sink (geography); Environmental resource management; Environmental protection; 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":[0.004011465,0.001077804,0.001296608,0.0008848634,0.002716379,0.004951415,0.003161499,0.0588704,0.04010266],"category_scores_gemma":[0.01667389,0.0006073681,0.002379562,0.001403819,0.002106948,0.00314284,0.002667812,0.02729954,0.03212233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0044711,"about_ca_system_score_gemma":0.006042347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0223979,"about_ca_topic_score_gemma":0.02754639,"domain_scores_codex":[0.9967907,0.0003240223,0.0003747336,0.0004385107,0.001257253,0.000814707],"domain_scores_gemma":[0.9960214,0.001597168,0.0002366459,0.0002529892,0.001271214,0.0006206253],"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":[0.0000736938,0.0000299124,0.000407268,0.00009607562,0.00000792862,0.0004317657,0.00005597273,0.00005329411,0.0001946863,0.00399981,0.9904206,0.004229061],"study_design_scores_gemma":[0.000041476,0.00002711974,0.001581184,0.0001850172,0.00001119268,0.00009280713,0.0001119176,0.0001002668,0.0001818197,0.002477953,0.9951543,0.00003496833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001811252,0.002990059,0.0006016559,0.7354622,0.1390719,0.0003492759,0.007470953,0.0007229383,0.1115197],"genre_scores_gemma":[0.002959125,0.0004519217,0.0001853546,0.9213565,0.01180096,0.0002287314,0.0006170925,0.00007226445,0.06232806],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0588704,"threshold_uncertainty_score":0.1341568,"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."}}