{"id":"W1858648283","doi":"10.3738/1982.2278.1102","title":"MICRONUTRIENTS IN SOYBEANS IN THE STATE OF SÃO PAULO","year":2014,"lang":"en","type":"article","venue":"Nucleus","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrition International","funders":"","keywords":"Micronutrient; Chemistry; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001878116,0.0001373419,0.0001542883,0.0008102182,0.0005973672,0.0003714653,0.0001612723,0.0001559293,0.0006713552],"category_scores_gemma":[0.0004404282,0.0001850334,0.0001457376,0.0008066599,0.0004372542,0.0001290274,0.000333855,0.0001880374,0.00007688084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197874,"about_ca_system_score_gemma":0.000940605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2035539,"about_ca_topic_score_gemma":0.4569438,"domain_scores_codex":[0.9998957,0.00002240253,0.000007982554,0.00002477404,0.0000265953,0.00002254674],"domain_scores_gemma":[0.999769,0.00004579817,0.00007660597,0.00001021654,0.000050635,0.00004772767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001006328,0.00007660068,0.9761425,0.000119266,0.00005081013,0.0005119414,0.005566237,0.0001091853,0.01108895,0.0002654725,0.0002356024,0.005732857],"study_design_scores_gemma":[0.000003306695,0.00007118896,0.9945958,0.00001821781,0.00001379516,0.0001281407,0.003837673,0.0001210461,0.0003138967,0.00005220389,0.0008407735,0.000003938743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988719,0.0001600618,0.00003506851,0.00005422258,0.000001680073,0.000006081499,0.0002335288,0.000002580763,0.0006348779],"genre_scores_gemma":[0.9990507,0.0001811192,0.00007624026,0.00001832482,8.925621e-7,0.000004822146,0.0001657885,0.000001213266,0.0005010291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035539,"threshold_uncertainty_score":0.4047381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023234519506918,"score_gpt":0.2059637475196873,"score_spread":0.1957314023246181,"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."}}