{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002148019,0.0001257688,0.0001404818,0.00001802601,0.0001630365,0.00007284906,0.0001340836,0.00008067662,0.0001251693],"category_scores_gemma":[0.0001948525,0.00009744936,0.00002569362,0.0001879766,0.00009537271,0.0004309844,0.00003389996,0.0001161407,0.00006803044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554648,"about_ca_system_score_gemma":0.00002766362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00521071,"about_ca_topic_score_gemma":0.05433827,"domain_scores_codex":[0.9990345,0.00004136977,0.0001419574,0.0002942259,0.0001182671,0.0003696499],"domain_scores_gemma":[0.9996378,0.000113309,0.00005040704,0.00009334089,0.000009934642,0.00009522448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002701709,0.00004085594,0.8356875,0.000003263922,0.00001553888,0.0000117028,0.003836745,0.0001025025,0.1593333,0.00003244888,0.00005416545,0.0008549577],"study_design_scores_gemma":[0.0005857442,0.0001310538,0.9450638,0.00001391078,0.0000322647,0.00004990914,0.001601486,0.00007092528,0.04896653,0.001388317,0.001748689,0.0003473416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979799,0.00003701271,0.000003161472,0.00007287604,0.0000818572,0.0002406781,0.000004270535,0.0000196554,0.001560558],"genre_scores_gemma":[0.9985046,0.000017859,0.000668193,0.00005620673,0.000009667373,0.00004561694,0.000004494844,0.000005292507,0.0006881116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1103668,"threshold_uncertainty_score":0.9629176,"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."}}