{"id":"W2061071929","doi":"10.2136/sssaj2012.0352","title":"Quantifying Lateral Diffusion Error in Soil Carbon Dioxide Respiration Estimates using Numerical Modeling","year":2013,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; St. Francis Xavier University","funders":"","keywords":"Thermal diffusivity; Diffusion; Soil science; Environmental science; Soil respiration; Perturbation (astronomy); Carbon dioxide; Respiration; Atmospheric sciences; Soil water; Geology; Physics; Chemistry; Thermodynamics","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":[0.002009079,0.0005276743,0.0004802838,0.0006497905,0.0003547161,0.0008842292,0.0006908486,0.0007311681,0.0004139945],"category_scores_gemma":[0.009296775,0.0003262855,0.0004243746,0.0006898393,0.0005102343,0.001138221,0.0008769045,0.0004770451,0.00008118652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009621411,"about_ca_system_score_gemma":0.0008283107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008468535,"about_ca_topic_score_gemma":0.008656154,"domain_scores_codex":[0.9993536,0.0001995811,0.00007687369,0.000134408,0.0001966055,0.00003902403],"domain_scores_gemma":[0.9942784,0.003797218,0.0008790543,0.0004740845,0.0005161323,0.00005510992],"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":[0.0001809703,0.00009478827,0.03276418,0.0001745388,0.0000741823,0.00006731392,0.000234703,0.8622534,0.07631584,0.002978428,0.0001611153,0.02470058],"study_design_scores_gemma":[0.000007349033,0.0000283727,0.002966333,0.000008343023,0.000008766207,0.0000156744,0.00001623582,0.9843944,0.0119949,0.0003630678,0.0001782524,0.00001843497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7078124,0.0002576203,0.2895565,0.0001590377,0.00002576583,0.00006987912,0.0002399817,0.0004403749,0.001438483],"genre_scores_gemma":[0.8969359,0.0001281284,0.102418,0.00002021535,0.000005462631,0.0000653821,0.0001118484,0.00003879677,0.0002760597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008468535,"threshold_uncertainty_score":0.01683849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03326228301254738,"score_gpt":0.2731537061917944,"score_spread":0.239891423179247,"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."}}