{"id":"W7016178323","doi":"","title":"Đất than bùn Canada: Kho lưu trữ carbon bị lãng quên","year":2025,"lang":"vi","type":"article","venue":"PhilPapers (PhilPapers Foundation)","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon fibers; Work (physics); Production (economics); Deposition (geology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006960099,0.001055655,0.001066179,0.000292251,0.001393358,0.0003137532,0.001330913,0.0005465312,0.01010157],"category_scores_gemma":[0.0002864935,0.001068602,0.0003107549,0.001368663,0.0009098261,0.0005728978,0.0005636162,0.0008879366,0.0006365403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003597292,"about_ca_system_score_gemma":0.001613753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4665444,"about_ca_topic_score_gemma":0.8447893,"domain_scores_codex":[0.9935668,0.0003770298,0.001243696,0.001840436,0.001155438,0.0018166],"domain_scores_gemma":[0.9971232,0.0004537391,0.000478533,0.001262539,0.00009009751,0.0005918873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008151297,0.001208449,0.7701477,0.0004890441,0.001951493,0.0004385776,0.002890814,0.002371857,0.01908012,0.01395519,0.03564733,0.1510043],"study_design_scores_gemma":[0.003485569,0.0003179341,0.5364944,0.0002244318,0.0006069697,0.0000479188,0.001219,0.002273724,0.000756551,0.001493966,0.4512361,0.001843404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.538126,0.0007746884,0.00003273938,0.03083288,0.004790592,0.001188294,0.00009928583,0.0001939513,0.4239616],"genre_scores_gemma":[0.9688185,0.00093807,0.0001215519,0.005597939,0.0005767437,0.0001299421,0.0003852284,0.00008663936,0.02334534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4306926,"threshold_uncertainty_score":0.9999067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005792847148043882,"score_gpt":0.2124522555156103,"score_spread":0.2066594083675664,"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."}}