{"id":"W6960140729","doi":"10.1111/gcb.12672/full","title":"Carbon accumulation of tropical peatlands over millennia: a modeling approach","year":2015,"lang":"en","type":"article","venue":"University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Peat; Deforestation (computer science); Swamp; Carbon fibers; Carbon cycle; Vegetation (pathology); Primary production; Temperate climate; Hydrology (agriculture)","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":[0.0002731927,0.0006664876,0.0004502763,0.0006185118,0.0006427584,0.001055857,0.001330429,0.001235197,0.00194186],"category_scores_gemma":[0.0007489691,0.000488819,0.001178981,0.0008489937,0.0003501871,0.0009140557,0.0007655527,0.0006438955,0.0001978206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153555,"about_ca_system_score_gemma":0.001140242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04284418,"about_ca_topic_score_gemma":0.02573967,"domain_scores_codex":[0.9999186,0.0000228166,0.000006851832,0.0000273473,0.000008228002,0.00001627441],"domain_scores_gemma":[0.9997872,0.00009193216,0.00004283094,0.00001670859,0.00002975267,0.00003161507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002100605,0.0000296287,0.003807263,0.00002839774,0.00007422326,0.00005879068,0.00003171879,0.9914654,0.0005559765,0.002030249,0.0002172012,0.001680132],"study_design_scores_gemma":[0.00001099019,0.00001253507,0.001121716,0.000009194724,0.00003056076,0.000016133,0.00002652935,0.9968114,0.0001414145,0.001070243,0.0007389373,0.00001032208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207114,0.001535705,0.05425676,0.0007607884,0.00007029134,0.000113979,0.003627318,0.0005837249,0.01834009],"genre_scores_gemma":[0.984274,0.0009098101,0.01161809,0.00007474468,0.00003482772,0.0001714165,0.000757308,0.00008063189,0.002079137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04284418,"threshold_uncertainty_score":0.08518958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.071468349804806,"score_gpt":0.2136061968827205,"score_spread":0.1421378470779145,"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."}}