{"id":"W4385481911","doi":"10.1088/1755-1315/1213/1/012040","title":"Effect of N<sub>20</sub> P<sub>20</sub> K<sub>20</sub> Nano-Fertilizer on Quantitative and Qualitative Yield of Two Potato Cultivars","year":2023,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertilizer; Cultivar; Yield (engineering); Horticulture; Dry matter; Starch; Field experiment; Crop; Growing season; Agriculture; Agronomy; Mathematics; Significant difference; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001662004,0.0004894886,0.0006489611,0.0001356501,0.0006129849,0.0001558593,0.0005615738,0.0001538542,0.00005804565],"category_scores_gemma":[0.0003938328,0.0002553143,0.0001250601,0.001007643,0.004034229,0.0008396539,0.0005180619,0.0003462577,0.00009854053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004838198,"about_ca_system_score_gemma":0.00006841215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001846427,"about_ca_topic_score_gemma":0.0008256679,"domain_scores_codex":[0.9956501,0.0004998025,0.0005398816,0.001061656,0.001226184,0.001022365],"domain_scores_gemma":[0.9974446,0.001496313,0.0002867662,0.0002042252,0.00006532126,0.000502753],"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":[0.000543033,0.00008176264,0.002669323,0.00005511158,0.00002323535,0.00001881892,0.002229018,0.0000190979,0.9599541,0.0004676945,0.00003449199,0.03390428],"study_design_scores_gemma":[0.0004670118,0.003160065,0.07047863,0.0001719811,0.00001965849,0.00001973746,0.004444479,0.0002230177,0.9202161,0.0003196593,0.00007399308,0.0004056947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975714,0.0001833197,0.000003312611,0.000370696,0.0001007104,0.0006653468,0.0006712861,0.00005678811,0.0003771406],"genre_scores_gemma":[0.9984907,0.001140952,0.00003487491,0.00006779744,0.00002686325,0.00005144815,0.0001181316,0.000005814337,0.00006339987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06780931,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03301764487536026,"score_gpt":0.2791694397358116,"score_spread":0.2461517948604513,"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."}}