{"id":"W6999199051","doi":"","title":"Carbon dioxide and methane fluxes of three peatlands in the La Grande RiviÃ¨re watershed, James Bay lowland, Canada","year":2005,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Carbon dioxide; Bay; Methane; Flux (metallurgy); Table (database); Water table; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001644485,0.0002836748,0.0002962493,0.0007033548,0.001966838,0.0009803477,0.0006003006,0.000243732,0.0009575284],"category_scores_gemma":[0.0003007227,0.0002654744,0.0001986549,0.001032255,0.0007298138,0.000313199,0.0005217693,0.0002695108,0.0001221947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01169791,"about_ca_system_score_gemma":0.00743803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9692143,"about_ca_topic_score_gemma":0.9934286,"domain_scores_codex":[0.9997665,0.00001042266,0.00001001526,0.00006257177,0.00008336313,0.00006713163],"domain_scores_gemma":[0.999577,0.000023538,0.00005751736,0.000009661054,0.0002052204,0.0001270769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009387974,0.0002415068,0.9425812,0.00008392625,0.0001124026,0.0004974204,0.004594058,0.001276145,0.03568858,0.0002259595,0.001048615,0.01271141],"study_design_scores_gemma":[0.00001641649,0.00003248702,0.996416,0.000008300603,0.00001342109,0.00001910784,0.001061996,0.0005940818,0.001091072,0.00001408177,0.0007200844,0.00001287187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988806,0.00003531387,0.00003066795,0.00001406607,6.312121e-7,0.00001144258,0.0004127012,0.00000445651,0.0006102901],"genre_scores_gemma":[0.9969594,0.00007719952,0.0003659979,0.00002331202,9.220075e-7,0.00002500743,0.0009411906,0.000004085226,0.001602777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03078568,"threshold_uncertainty_score":0.08487463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003500361252870151,"score_gpt":0.1487786798787784,"score_spread":0.1452783186259082,"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."}}