{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279398,0.0001836065,0.0004381448,0.00001413288,0.000404175,0.0002927247,0.0003604479,0.0001348355,0.0003017374],"category_scores_gemma":[0.001422638,0.00005601475,0.0001033395,0.00005041152,0.0002404939,0.0002163309,0.0001432252,0.0001286527,0.00001062419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001214308,"about_ca_system_score_gemma":0.000005656357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494473,"about_ca_topic_score_gemma":0.04682783,"domain_scores_codex":[0.9989038,0.00005661882,0.0002583467,0.0003220665,0.0001221789,0.0003370564],"domain_scores_gemma":[0.9989701,0.0006529822,0.0001361048,0.00006828676,0.00006627338,0.0001062338],"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":[0.001142318,0.0003479742,0.3240676,0.0000167325,0.00005946976,0.00007592626,0.00003961741,0.00001467072,0.6036445,0.004936444,0.0007452432,0.0649095],"study_design_scores_gemma":[0.001666309,0.0003266909,0.9948213,0.00003333436,0.00001267397,0.000007446883,0.0001266177,0.0001510392,0.001488914,0.0005471042,0.0005709119,0.0002476284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864896,0.0006851464,4.893045e-7,0.004696649,0.00005113801,0.0002338901,0.000009202477,0.00005067073,0.007783229],"genre_scores_gemma":[0.9984386,0.0000863861,0.00002962273,0.0004113042,0.000216065,0.0000250082,0.00000512789,7.151767e-7,0.0007871583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6707538,"threshold_uncertainty_score":0.9705651,"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."}}