{"id":"W2034727817","doi":"10.4141/s04-041","title":"Using measurements of soil CO<sub>2</sub> efflux and concentrations to infer the depth distribution of CO<sub>2</sub> production in a forest soil","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Soil science; Carbon dioxide; Soil respiration; Soil water; Temperate forest; Soil horizon; Atmosphere (unit); Temperate climate; Hydrology (agriculture); Atmospheric sciences; Soil carbon; Diffusion; Chemistry; Geology; Ecology; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001936974,0.0005149988,0.0003198662,0.000387103,0.0003296162,0.0007088194,0.0005474341,0.0005066185,0.0003906929],"category_scores_gemma":[0.0004129442,0.0003362209,0.0001751053,0.000559608,0.0003084974,0.0003934724,0.0002112256,0.0002472173,0.0001920082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235284,"about_ca_system_score_gemma":0.000620676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08733749,"about_ca_topic_score_gemma":0.2433775,"domain_scores_codex":[0.999861,0.00001012536,0.000005316947,0.00005703466,0.00004526609,0.00002113263],"domain_scores_gemma":[0.9997891,0.00005194103,0.00006017208,0.00002286575,0.00005190865,0.00002402997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002569717,0.0001218142,0.4184341,0.0002659497,0.0001078037,0.0002251429,0.0002761977,0.01640143,0.5290598,0.000191461,0.0002959567,0.03436352],"study_design_scores_gemma":[0.00002563135,0.0001997712,0.7928825,0.00002405109,0.00007394579,0.0003422009,0.0002406983,0.08654108,0.118333,0.000183259,0.001103465,0.00005035145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819683,0.0002478365,0.01569186,0.00002484131,0.000006414353,0.00003948689,0.0008085254,0.0001352496,0.001077432],"genre_scores_gemma":[0.988686,0.0002993784,0.0100738,0.00001993298,0.000002382181,0.00002678868,0.0004026433,0.00001156759,0.000477534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08733749,"threshold_uncertainty_score":0.1736583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004080504647339,"score_gpt":0.2304387452417402,"score_spread":0.2103979401952668,"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."}}