{"id":"W4401126277","doi":"10.1021/acsagscitech.4c00088","title":"Assessment of Calcimetry as a Reliable Method for Monitoring Soil Inorganic Carbon Stocks","year":2024,"lang":"en","type":"article","venue":"ACS Agricultural Science & Technology","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Soil water; Carbon fibers; Total inorganic carbon; Environmental science; Dissolution; Soil science; Weathering; Carbon sequestration; Soil carbon; Greenhouse gas; Carbonate; Materials science; Carbon dioxide; Chemistry; Geology; Chemical engineering; Metallurgy; Engineering; Geochemistry; Composite material","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":[0.008159408,0.0007637572,0.0005495889,0.001189762,0.0005536465,0.001910464,0.001040224,0.00170297,0.0007988681],"category_scores_gemma":[0.009914929,0.0004333676,0.00040024,0.001212237,0.00151911,0.0009033487,0.001159725,0.0008164454,0.000328893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000673676,"about_ca_system_score_gemma":0.0008489253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367784,"about_ca_topic_score_gemma":0.002467468,"domain_scores_codex":[0.9927803,0.001740166,0.0002854152,0.0009264174,0.004070016,0.000197673],"domain_scores_gemma":[0.9914072,0.003693989,0.001108045,0.001467416,0.002198681,0.0001246584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005300203,0.0001018054,0.02754253,0.0005179622,0.00009988928,0.0001174503,0.000319362,0.01013883,0.9017984,0.003041359,0.0005932612,0.05519928],"study_design_scores_gemma":[0.0000342469,0.0005776489,0.02601609,0.0000825664,0.0001331825,0.0002985161,0.0002604702,0.05550273,0.9029486,0.002701481,0.01131733,0.0001272356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5927433,0.006565626,0.3834604,0.00107335,0.0003569152,0.0005011709,0.002015427,0.00067799,0.01260568],"genre_scores_gemma":[0.8984835,0.001432963,0.0972359,0.0001469165,0.00006132513,0.000360521,0.0003814392,0.0001406373,0.001756938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008159408,"threshold_uncertainty_score":0.04315162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104969542927458,"score_gpt":0.3223229387695801,"score_spread":0.3118259844768343,"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."}}