{"id":"W7000985748","doi":"","title":"Impact of organic fertilizers on crop yield, soil carbon stock and greenhouse gas fluxes from corn-soybean agroecosystems","year":2021,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; University College Dublin; Ontario Ministry of Agriculture, Food and Rural Affairs; McGill University; Ministry of Agriculture, Food and Rural Affairs; U.S. Department of Agriculture","keywords":"Greenhouse gas; Agroecosystem; Soil carbon; Stock (firearms); Soil organic matter; Cover crop; Crop yield; Carbon stock; Crop residue","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003656303,0.0002239081,0.0002254015,0.0002043679,0.0003568465,0.0005396776,0.0002679683,0.0001927155,0.001608199],"category_scores_gemma":[0.0006244673,0.0001034646,0.0002230945,0.0003880965,0.0001948243,0.0002931863,0.0002754036,0.0002396112,0.0001142154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002492302,"about_ca_system_score_gemma":0.001395342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08816786,"about_ca_topic_score_gemma":0.1805021,"domain_scores_codex":[0.9998104,0.0000267613,0.00001604957,0.00005082559,0.00004525318,0.00005066685],"domain_scores_gemma":[0.9996256,0.0001697717,0.00006002258,0.00001044272,0.00006685544,0.00006731691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0172469,0.001208862,0.3229972,0.001214522,0.0007936606,0.001227782,0.0008621149,0.03388335,0.5184914,0.00107534,0.003251023,0.0977478],"study_design_scores_gemma":[0.0002232203,0.001293869,0.9228905,0.00003414623,0.0002864269,0.00006387616,0.00125423,0.01100051,0.05964794,0.0004388585,0.002840126,0.00002632104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985051,0.0001188425,0.00003365966,0.00006239909,0.000006819346,0.000008050371,0.0002736766,0.000002851682,0.0009887145],"genre_scores_gemma":[0.9973724,0.0003912541,0.0001629626,0.00003851988,0.00000359296,0.00001117724,0.000544357,0.000006484589,0.001469366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08816786,"threshold_uncertainty_score":0.1753093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174806963185873,"score_gpt":0.224552122334008,"score_spread":0.2070714260154207,"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."}}