{"id":"W4241980138","doi":"10.2134/cs2016.49.0307","title":"Industrial hemp response to nitrogen, phosphorus, and potassium fertilization","year":2016,"lang":"en","type":"article","venue":"Crops & Soils","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Human fertilization; Phosphorus; Potassium; Nitrogen; Certification; Nutrient; Environmental science; Agronomy; Agricultural engineering; Chemistry; Engineering; Biology; Economics; Management","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":[0.0001590564,0.00008512136,0.0001069935,0.000006948199,0.0002169321,0.00002087746,0.00007400506,0.0000826959,0.00009661472],"category_scores_gemma":[0.0002415634,0.00002560936,0.00002341811,0.0001450639,0.00006291774,0.00007539259,0.00005920924,0.00003799608,0.0000830419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001376401,"about_ca_system_score_gemma":0.000007099989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002476878,"about_ca_topic_score_gemma":0.00003157568,"domain_scores_codex":[0.9993665,0.00008605434,0.000113729,0.0001956836,0.00007443951,0.0001636572],"domain_scores_gemma":[0.9995694,0.0002420423,0.00003614272,0.00003174799,0.00004911163,0.00007157707],"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":[0.0007586809,0.00001830796,0.02788879,3.958867e-7,0.000008755709,0.0000013769,0.00006072847,1.50373e-7,0.9150906,0.00007480269,0.006274679,0.04982276],"study_design_scores_gemma":[0.0003080338,0.0001850638,0.8665541,0.00002391428,0.000006842616,0.000003517119,0.000137347,7.494073e-7,0.05867326,0.0008202923,0.07314065,0.000146221],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945859,0.0001066178,0.000004420721,0.004878818,0.00008621305,0.0001010507,0.00005830573,0.00004271725,0.0001359014],"genre_scores_gemma":[0.9985515,0.00003794377,0.000008772504,0.000497859,0.0001358219,0.00001603272,0.00001155741,4.887156e-7,0.0007400265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8564173,"threshold_uncertainty_score":0.1668489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263098045952544,"score_gpt":0.2273077511112902,"score_spread":0.1946767706517648,"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."}}