{"id":"W2590415913","doi":"10.17660/actahortic.2003.627.33","title":"CHLOROPHYLL AND NITRATE METERS AS NITROGEN MONITORING TOOLS FOR SELECTED VEGETABLES IN SOUTHERN ONTARIO","year":2003,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Nitrate; Nitrogen; Environmental science; Chlorophyll; Remote sensing; Geography; Environmental chemistry; Chemistry; Horticulture; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.000599773,0.0003011551,0.0002519116,0.0006937307,0.003591624,0.0008098952,0.000523054,0.0002640691,0.001177371],"category_scores_gemma":[0.0007922337,0.0002987717,0.000190158,0.001318038,0.0006035601,0.0003567986,0.000536261,0.0003089042,0.0002082243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01395907,"about_ca_system_score_gemma":0.01628967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9729571,"about_ca_topic_score_gemma":0.9970413,"domain_scores_codex":[0.9997244,0.00003493677,0.00001354436,0.00005190113,0.0001167389,0.00005830978],"domain_scores_gemma":[0.9991605,0.00009095688,0.00009971061,0.00002408587,0.0004921333,0.0001325666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001603175,0.0001796218,0.7685859,0.0006250617,0.00006731874,0.002165189,0.02321409,0.002831603,0.09588398,0.001735729,0.008969137,0.09413929],"study_design_scores_gemma":[0.00005190731,0.0001968494,0.9554668,0.00004421808,0.00004110297,0.000176254,0.01061759,0.001888731,0.006473658,0.000216588,0.02479117,0.0000350798],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98581,0.0004538138,0.001409392,0.000451658,0.00001363993,0.0001447747,0.0009846921,0.00006910209,0.01066298],"genre_scores_gemma":[0.9653211,0.000668987,0.0072394,0.0001361609,0.000006762263,0.00009936409,0.0009479197,0.00003815768,0.0255421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02704287,"threshold_uncertainty_score":0.1012806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342741427632692,"score_gpt":0.2071389475280131,"score_spread":0.1937115332516862,"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."}}