{"id":"W7117364206","doi":"10.12692/ijb/15.2.328-339","title":"Impact of foliar silicon application on yield attributes of wheat (Triticum aestivum L.) under water deficit environment","year":2019,"lang":"en","type":"article","venue":"International Journal of Biosciences (IJB)","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Silicon; Potassium silicate; Potassium; Silicic acid; Yield (engineering); Cultivar; Sodium silicate; Tiller (botany); Irrigation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009673729,0.0002514619,0.0002935359,0.0001296296,0.0001556585,0.0003341065,0.0001638586,0.0002625628,0.0008480513],"category_scores_gemma":[0.0001299924,0.0001345798,0.0001912968,0.0001032074,0.0001819848,0.0001776962,0.0001933318,0.000443738,0.0001029736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002776138,"about_ca_system_score_gemma":0.0002632888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002307644,"about_ca_topic_score_gemma":0.004733911,"domain_scores_codex":[0.9999092,0.00001665188,0.000009324279,0.00002269317,0.00002146977,0.00002077616],"domain_scores_gemma":[0.9998668,0.00002731758,0.00003989198,0.000007629917,0.00002177154,0.00003639412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003567683,0.00005748944,0.0008296967,0.00007140036,0.00001337704,0.00005879728,0.00002710693,0.00008795015,0.9970909,0.00001538879,0.00002395886,0.001366972],"study_design_scores_gemma":[0.00008021293,0.006691743,0.08200321,0.00002712822,0.0001518862,0.0001875755,0.0002838696,0.001518174,0.9062468,0.0001035686,0.002681871,0.00002386974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987994,0.0004995349,0.0001610363,0.00005177177,0.00001365282,0.000007431813,0.0001099512,0.00001216064,0.0003449046],"genre_scores_gemma":[0.9978422,0.0004283579,0.0003443988,0.00006294258,0.000005795405,0.000009310942,0.0002321349,0.000007747215,0.001066959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002307644,"threshold_uncertainty_score":0.004588425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135349527631471,"score_gpt":0.2445388885231783,"score_spread":0.2310039357600313,"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."}}