{"id":"W4404548865","doi":"10.1016/j.apgeochem.2024.106233","title":"Contributions of mineral and organic cement agents to soil aggregation under potato production in Eastern Canada","year":2024,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mineral; Cement; Environmental science; Production (economics); Environmental chemistry; Chemistry; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005563992,0.00006515413,0.00007007347,0.000005554035,0.00002425517,0.00001493924,0.00004207905,0.00003780379,0.0000631279],"category_scores_gemma":[0.00001463106,0.00003378594,0.00001188728,0.0001972298,0.00001362461,0.00001328933,0.00002867595,0.00005162305,0.000002212097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008351511,"about_ca_system_score_gemma":0.0000362077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0352573,"about_ca_topic_score_gemma":0.264055,"domain_scores_codex":[0.9994869,0.000004825006,0.0001122914,0.0001737134,0.0001104805,0.0001118158],"domain_scores_gemma":[0.9998547,0.00001988799,0.00001879419,0.00003001466,0.00002623979,0.00005035747],"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":[0.00001122858,0.00001993991,0.00282999,0.00002241406,0.000009649952,0.000002018545,0.00004133965,0.00003317686,0.9900485,0.00007397686,0.0007446241,0.006163086],"study_design_scores_gemma":[0.0001883522,0.00002884318,0.04218844,0.00006891168,0.00002247222,0.00001113354,0.001119731,0.001885447,0.9522708,0.0008493037,0.001132583,0.0002339964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981269,0.00009196012,0.000001975937,0.001143432,0.00006370142,0.0001002019,0.00003461588,0.00001424639,0.0004229154],"genre_scores_gemma":[0.9994487,0.000007551901,0.000005753523,0.00009392591,0.00006771454,0.0000164014,0.0001067764,6.389293e-7,0.0002525151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2287977,"threshold_uncertainty_score":0.971167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008074750664798833,"score_gpt":0.2049296020178179,"score_spread":0.1968548513530191,"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."}}