{"id":"W2115782627","doi":"10.4141/cjps2011-086","title":"Relationship between soil nitrate accumulation and in-season corn N nutrition indicators","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Limiting; Growing season; Fertilizer; Crop; Agronomy; Nitrate; Nitrogen; Zea mays; Plant growth; Yield (engineering); Nutrient; Animal science; Environmental science; Chemistry; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002598684,0.0002068064,0.000140873,0.0003361313,0.0001596159,0.0003845512,0.000206401,0.0002449688,0.001144515],"category_scores_gemma":[0.0006443945,0.0001368398,0.00009758662,0.0002596808,0.0001298073,0.0001516425,0.0001064882,0.0002152472,0.0001446876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273619,"about_ca_system_score_gemma":0.0005350607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1857268,"about_ca_topic_score_gemma":0.3531356,"domain_scores_codex":[0.9998964,0.00001806989,0.00000623479,0.00002841779,0.00002344219,0.00002744894],"domain_scores_gemma":[0.9989185,0.0002389503,0.0003334437,0.00003984123,0.0002668542,0.0002023739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000354038,0.00006120621,0.9757036,0.00001263621,0.00006065865,0.00006012803,0.00005992538,0.0002812424,0.02063308,0.00001696497,0.0001412493,0.002615341],"study_design_scores_gemma":[0.000001098599,0.000038335,0.9987708,9.160742e-7,0.000005918883,0.00002407611,0.00002401076,0.0004559239,0.0005642201,0.000006022122,0.0001068074,0.000001784109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989284,0.0001252559,0.0002329152,0.00001232564,0.000001893602,0.000004996308,0.0002770889,0.00000642644,0.000410687],"genre_scores_gemma":[0.9987051,0.0000548755,0.0001533476,0.00001088752,0.000001059997,0.000003095264,0.0003957665,0.000002066836,0.0006737235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1857268,"threshold_uncertainty_score":0.3692915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378518102444089,"score_gpt":0.2455610284412495,"score_spread":0.2117758474168086,"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."}}