{"id":"W2943809776","doi":"10.1590/s1678-3921.pab2019.v54.00096","title":"Steel slag and phosphate nutrition of corn inoculated with arbuscular mycorrhizal fungi","year":2019,"lang":"en","type":"article","venue":"Pesquisa Agropecuária Brasileira","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; ArcelorMittal","keywords":"Phosphorus; Inoculation; Slag (welding); Phosphate; Shoot; Phosphorite; Human fertilization; Horticulture; Nutrient; Agronomy; Dry matter; Chemistry; Biology; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000140335,0.0002378219,0.000345793,0.00003333339,0.0001068434,0.00006879746,0.0001921442,0.0001264268,0.005835725],"category_scores_gemma":[0.00003599269,0.0000981804,0.00009630538,0.0003970953,0.00001943115,0.0002603343,0.0000629157,0.0001826183,0.0005218675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001761179,"about_ca_system_score_gemma":0.00001103122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007408371,"about_ca_topic_score_gemma":0.00009312958,"domain_scores_codex":[0.9986137,0.00008217835,0.0003103506,0.0004166703,0.0002641555,0.0003129056],"domain_scores_gemma":[0.99885,0.0005822134,0.0001728713,0.0001196243,0.0001388011,0.0001364974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005700442,0.0002466585,0.5742146,0.00008505621,0.00007394866,0.00001896846,0.0001073453,0.00001562041,0.418927,0.001964399,0.001464882,0.00231156],"study_design_scores_gemma":[0.0008855726,0.001930648,0.9316928,0.0007244804,0.0001444214,0.0002792779,0.0007013466,0.001211992,0.02702043,0.0003051341,0.03423846,0.0008654148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932371,0.001131505,0.000009229988,0.00007938159,0.0002689857,0.0006018151,0.0005787665,0.0000784632,0.004014743],"genre_scores_gemma":[0.9974761,0.0005421372,0.0001682813,0.0001193616,0.0001520226,0.00002098031,0.0009850655,0.000003622295,0.0005324273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3919065,"threshold_uncertainty_score":0.9950731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006900474279062033,"score_gpt":0.1859474883446405,"score_spread":0.1790470140655785,"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."}}