{"id":"W4399996668","doi":"10.18393/ejss.1494595","title":"Aggregate stability and carbon and N dymamics in macroaggregate size fractions with different soil texture","year":2024,"lang":"en","type":"article","venue":"EURASIAN JOURNAL OF SOIL SCIENCE (EJSS)","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Soil texture; Texture (cosmology); Aggregate (composite); Stability (learning theory); Carbon fibers; Mathematics; Environmental science; Soil science; Computer science; Soil water; Materials science; Artificial intelligence; Algorithm; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004054435,0.0001963937,0.0002406353,0.0002348797,0.0001002082,0.0002795894,0.0001728055,0.00006885283,0.00001069361],"category_scores_gemma":[0.0000756794,0.0001338948,0.00003467574,0.0007370309,0.0003866544,0.0005730041,0.00003241407,0.0006774103,7.817089e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347262,"about_ca_system_score_gemma":0.0001186449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004497533,"about_ca_topic_score_gemma":0.0004624568,"domain_scores_codex":[0.998747,0.00002950097,0.0003001882,0.00023653,0.0003502382,0.000336548],"domain_scores_gemma":[0.9993793,0.0001045798,0.00006526534,0.0001391576,0.00007589691,0.0002358242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003730993,0.0002947708,0.4779619,0.00142406,0.0003512669,0.002957922,0.0239622,0.0246284,0.09766649,0.0008551048,0.0002065125,0.3693182],"study_design_scores_gemma":[0.001536474,0.0004183205,0.6813291,0.001985383,0.0001100281,0.002366252,0.002967038,0.281481,0.02499224,0.001574701,0.0004356164,0.0008038445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946675,0.00265597,0.00006676046,0.0006988679,0.0005064066,0.00006433871,0.000005024455,0.00005301016,0.001282103],"genre_scores_gemma":[0.9989544,0.0007737314,0.0001012771,0.00001897454,0.00009991047,0.000001691055,2.549584e-7,0.00001882109,0.00003091819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3685144,"threshold_uncertainty_score":0.5460072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006961597750616479,"score_gpt":0.209623294322023,"score_spread":0.2026616965714065,"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."}}