{"id":"W3189477279","doi":"10.1139/cjps-2021-0107","title":"Opportunities to reduce nitrous oxide emissions from horticultural production systems in Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Plant 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 Guelph; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Environmental science; Leaching (pedology); Fertilizer; Nitrous oxide; Agronomy; Tillage; Agriculture; Irrigation; Greenhouse gas; Temperate climate; Crop; Production (economics); Soil water; Biology; Ecology; Soil science","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":[0.0008135429,0.0004283056,0.0002143024,0.001597114,0.00233132,0.001483265,0.0008689607,0.0003375053,0.002076599],"category_scores_gemma":[0.001046626,0.0001433939,0.0004973076,0.002013452,0.0004980768,0.0006052543,0.0008637629,0.0006179682,0.0001229586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03394043,"about_ca_system_score_gemma":0.1082169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896584,"about_ca_topic_score_gemma":0.9961504,"domain_scores_codex":[0.9993325,0.00006200274,0.00002385623,0.00005837509,0.0002807571,0.000242472],"domain_scores_gemma":[0.9978755,0.00009218765,0.0001219253,0.00002499935,0.001590622,0.0002947457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004656709,0.0003192544,0.1613272,0.01010396,0.0004474634,0.00227676,0.005115495,0.00625355,0.03963741,0.01360799,0.07699259,0.6834526],"study_design_scores_gemma":[0.00005847319,0.0002468659,0.4797973,0.002678385,0.0004158508,0.0003091333,0.009400449,0.002721059,0.009211904,0.00232581,0.4926784,0.0001563705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5361719,0.1987511,0.01375483,0.04720236,0.0009242716,0.000638165,0.009075367,0.0007953537,0.1926866],"genre_scores_gemma":[0.840919,0.1033603,0.01953246,0.005371741,0.00007221951,0.0001448387,0.002957059,0.0001134253,0.02752894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03394043,"threshold_uncertainty_score":0.2462562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359251154690506,"score_gpt":0.2022682829780418,"score_spread":0.1663431675089912,"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."}}