{"id":"W4220742396","doi":"10.1016/j.catena.2022.106194","title":"Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada","year":2022,"lang":"en","type":"article","venue":"CATENA","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Aurora Research Institute; National Science Foundation","keywords":"Permafrost; Soil water; Soil carbon; Taiga; Environmental science; Total organic carbon; Soil science; Boreal; Geology; Environmental chemistry; Chemistry; Forestry; Geography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0003404884,0.0003684758,0.0002974087,0.001396029,0.001345745,0.001069613,0.0007848163,0.0002386898,0.00103652],"category_scores_gemma":[0.0008565615,0.000228661,0.0003798616,0.002365594,0.0005797137,0.000296401,0.0003958538,0.0002362782,0.0001580477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02046699,"about_ca_system_score_gemma":0.01357626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937243,"about_ca_topic_score_gemma":0.9975089,"domain_scores_codex":[0.9997017,0.00001175554,0.00001806827,0.0000771308,0.00009913808,0.00009210858],"domain_scores_gemma":[0.9989616,0.00007222962,0.0001508244,0.00003263469,0.0005728497,0.0002098604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005370788,0.00001811508,0.991716,0.00002169492,0.00005313919,0.00007143006,0.0003011365,0.0008475762,0.0008681874,0.00007190877,0.0003150798,0.005662041],"study_design_scores_gemma":[0.000002665412,0.000004131508,0.9979972,0.000006495555,0.000009598773,0.00001841535,0.0003001463,0.001137753,0.0001331718,0.00002069718,0.0003637548,0.000005878994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997287,0.0002342709,0.0001143881,0.00003747062,0.000001902262,0.00000861245,0.001659759,0.00001538388,0.0006411235],"genre_scores_gemma":[0.9978091,0.0001418772,0.0002683867,0.0000142133,0.000001016175,0.000004055774,0.001333799,0.000004929895,0.0004225523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02046699,"threshold_uncertainty_score":0.1484991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273430064769074,"score_gpt":0.2171203346551553,"score_spread":0.1897773281782479,"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."}}