{"id":"W3106358198","doi":"","title":"Including climate variability in determination of the optimum rate of N fertilizer application using a crop model: A case study for rainfed corn in eastern Canada","year":2017,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fertilizer; Agronomy; Crop; Environmental science; Mathematics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001996211,0.00009601668,0.000201679,0.000009219229,0.0002500163,0.00003219494,0.0002371852,0.00005762357,3.122409e-7],"category_scores_gemma":[0.000907236,0.00004354741,0.0000432363,0.00007223593,0.00004440441,0.0000970495,0.0001291637,0.00008908844,3.610426e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006562168,"about_ca_system_score_gemma":0.00005117954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8174396,"about_ca_topic_score_gemma":0.9767913,"domain_scores_codex":[0.9988508,0.0001312957,0.0004803739,0.0002346018,0.0001120894,0.0001908852],"domain_scores_gemma":[0.9988223,0.0004369262,0.0004418567,0.0001596157,0.0001094362,0.00002980851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000957345,0.0001979958,0.9472681,0.0000499933,0.000002465977,0.00001001378,0.0005627732,0.004572901,0.039236,0.000002215359,1.633158e-7,0.008001585],"study_design_scores_gemma":[0.0002480685,0.00002543892,0.767976,0.00005992298,0.000008632124,0.000002489568,0.0006898594,0.2293263,0.001453531,0.0001400922,8.373873e-7,0.00006888223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990417,0.000003287563,0.00001742597,0.0000932574,0.00004377962,0.0006767114,0.0000195039,0.000004960841,0.00009941291],"genre_scores_gemma":[0.9998266,5.658268e-7,0.0001161583,0.00001370267,0.00001308122,0.0000242297,0.000002230805,0.000001084215,0.00000238448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2247534,"threshold_uncertainty_score":0.1922948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06993503396616019,"score_gpt":0.3062609129690194,"score_spread":0.2363258790028592,"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."}}