{"id":"W2797302592","doi":"","title":"An Analysis of Methane and Carbon Dioxide Exchange in a Post-Extraction, Unrestored Peatland in Eastern Québec","year":2016,"lang":"en","type":"article","venue":"32nd Conf. on Agricultural and Forest Meteorology/22nd Symp. Boundary Layers and Turbulence/ Third Conf. on Atmospheric Biogeosciences (20 – 24 June, 2016)","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Peat; Carbon dioxide; Methane; Environmental science; Extraction (chemistry); Carbon cycle; Earth science; Geology; Geography; Chemistry; Ecosystem; Ecology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001824974,0.0003856768,0.0003510915,0.0007784005,0.001802243,0.000946602,0.0009369012,0.0006388199,0.001865557],"category_scores_gemma":[0.0003420534,0.0001816706,0.0003354927,0.001636495,0.0006463751,0.0003695681,0.0003899303,0.0004039682,0.0002313961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01090708,"about_ca_system_score_gemma":0.004859158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882284,"about_ca_topic_score_gemma":0.9916468,"domain_scores_codex":[0.9998646,0.00001229748,0.000005946735,0.00003597871,0.00002190476,0.00005923808],"domain_scores_gemma":[0.9997012,0.00004985059,0.00002619294,0.00001079524,0.0001505642,0.00006133745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000557945,0.0003018602,0.9609035,0.00007742082,0.0001832347,0.001613575,0.002325354,0.004870987,0.01247247,0.0003406078,0.001616636,0.01473643],"study_design_scores_gemma":[0.00001107591,0.00001782965,0.993497,0.00001040101,0.00001720801,0.00004709279,0.001368746,0.00411364,0.0002708871,0.00002013213,0.0006134709,0.00001252051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984977,0.0000715575,0.00008926154,0.00004657228,0.000003217768,0.000008571326,0.0007199982,0.000006451221,0.0005566239],"genre_scores_gemma":[0.9983069,0.00004330439,0.0001105723,0.0000278718,0.000002009154,0.000006421474,0.0007001984,0.000004770687,0.0007979171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177162,"threshold_uncertainty_score":0.07913667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544537249248274,"score_gpt":0.2120214213301433,"score_spread":0.205476884080895,"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."}}