{"id":"W4389302712","doi":"10.1139/cjss-2023-0075","title":"Tillage effects on growing season nitrous oxide emissions in Canadian cropland soils","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Saskatchewan; Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Greenhouse gas; Environmental science; Tillage; Nitrous oxide; Soil water; Growing season; Agronomy; Conventional tillage; Agriculture; Soil science; Chemistry; 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":[0.005709612,0.0010384,0.001494687,0.001476227,0.0009678551,0.001212015,0.0008866802,0.0005267554,0.001213699],"category_scores_gemma":[0.00641928,0.0003302809,0.00570188,0.002416977,0.0007218854,0.0003060645,0.000526437,0.0007142319,0.00006200791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01248868,"about_ca_system_score_gemma":0.02100302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9263888,"about_ca_topic_score_gemma":0.951254,"domain_scores_codex":[0.9981422,0.0006477352,0.0001961194,0.00038349,0.0004399895,0.0001904529],"domain_scores_gemma":[0.9961922,0.001432013,0.0007530614,0.0002211713,0.001095426,0.0003061513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.03600746,0.0003140683,0.3411558,0.04644751,0.3717006,0.0006169362,0.001310824,0.01409954,0.01318151,0.001952382,0.008975848,0.1642375],"study_design_scores_gemma":[0.002454255,0.001934731,0.5067555,0.005712632,0.445669,0.000215485,0.0005123879,0.003326316,0.004641562,0.001144663,0.02745335,0.0001801794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5011782,0.4790414,0.002092813,0.001891849,0.0003806197,0.0003558034,0.009524944,0.0001118133,0.005422404],"genre_scores_gemma":[0.9506418,0.04481467,0.001516158,0.0005409043,0.00004111682,0.0000642617,0.001524026,0.00002640833,0.0008307279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0736112,"threshold_uncertainty_score":0.1480893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218909120332761,"score_gpt":0.2167908087561499,"score_spread":0.2046017175528223,"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."}}