{"id":"W7036727820","doi":"","title":"Controlled traffic farming increases soil mineral N, crop yield and root growth in vegetables","year":2017,"lang":"en","type":"article","venue":"","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Yield (engineering); Crop; Crop yield; Agriculture; Soil water; Mineral","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001468204,0.0003170224,0.0002998933,0.0002679755,0.0003460861,0.0005977454,0.0004866911,0.0005718801,0.002314635],"category_scores_gemma":[0.0004683471,0.0002412153,0.0002366084,0.0002258046,0.0005232021,0.0005460157,0.000465249,0.0005402291,0.0002475128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009771065,"about_ca_system_score_gemma":0.0006213353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007144517,"about_ca_topic_score_gemma":0.01064011,"domain_scores_codex":[0.9998196,0.00003090946,0.000005989284,0.00006190054,0.00002110602,0.00006054636],"domain_scores_gemma":[0.9992676,0.0001674451,0.0001582888,0.00005350091,0.00005333219,0.0002997361],"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":[0.006403956,0.0007399588,0.008672137,0.00008261164,0.00004683083,0.0001347706,0.0001475566,0.0003008472,0.9798297,0.000143133,0.0001586572,0.003339952],"study_design_scores_gemma":[0.0007880557,0.0107187,0.6096332,0.00004634448,0.0002925827,0.0007109693,0.002520607,0.01062462,0.3579141,0.001584381,0.005062429,0.0001040843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995766,0.00005768032,0.00007905219,0.00002841255,0.000005216987,0.00000255042,0.00002999513,0.00001120452,0.0002092739],"genre_scores_gemma":[0.9982553,0.0000737142,0.0001550427,0.00003651025,0.000004409993,0.00001081714,0.00012576,0.00001555345,0.001322787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007144517,"threshold_uncertainty_score":0.01420587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813853484515931,"score_gpt":0.2192693313155459,"score_spread":0.1911307964703865,"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."}}