{"id":"W4407114560","doi":"10.2139/ssrn.5122631","title":"Drivers of Soil Bacterial Community Composition in Agricultural Systems in Alberta and Impact of Farming Practices on Bacterial Community Attributes","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Agriculture; Composition (language); Agroforestry; Business; Agricultural economics; Geography; Environmental science; Agricultural science; Environmental protection; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004126004,0.0001964966,0.0002234901,0.0007665996,0.0006656573,0.001118872,0.0004710947,0.000315711,0.001309268],"category_scores_gemma":[0.0008940912,0.0001982623,0.0002045843,0.001678603,0.0008867354,0.0003770672,0.0006965233,0.0001972638,0.0001469275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006012534,"about_ca_system_score_gemma":0.003779799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7975845,"about_ca_topic_score_gemma":0.8991601,"domain_scores_codex":[0.9996921,0.00004008158,0.00001320298,0.00008031999,0.00006125488,0.000113018],"domain_scores_gemma":[0.9994424,0.00009635312,0.0001295448,0.00002049759,0.0001483554,0.0001629341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002090609,0.00003251283,0.9873098,0.00003050104,0.00005883099,0.0001134194,0.0007240371,0.0009960682,0.005022311,0.0002176872,0.0001575266,0.005128283],"study_design_scores_gemma":[0.000002171374,0.0000093887,0.9984499,0.000002797205,0.000006234743,0.00001305441,0.0007190641,0.0005284795,0.00007336237,0.00005472019,0.0001381939,0.000002686413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993027,0.00008371459,0.00006443066,0.00002703671,7.544591e-7,0.000002903986,0.0002023803,0.0000030044,0.0003130408],"genre_scores_gemma":[0.9993312,0.00007246241,0.0001117989,0.00001028647,9.321017e-7,0.000001833641,0.0001727666,0.000001516921,0.0002971319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2024155,"threshold_uncertainty_score":0.4072151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278101363052742,"score_gpt":0.2675046316873819,"score_spread":0.2447236180568545,"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."}}