{"id":"W4409559502","doi":"10.3389/fnut.2025.1559537","title":"Enhancing micronutrient bioavailability in wheat grain through organic fertilizer substitution","year":2025,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Micronutrient; Bioavailability; Fertilizer; Substitution (logic); Environmental science; Agronomy; Chemistry; Biology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003326759,0.0003110188,0.000324854,0.0003108431,0.0002424979,0.0004207918,0.0003664622,0.0002089311,0.0005864062],"category_scores_gemma":[0.0002127934,0.0001005314,0.0003316863,0.0003751579,0.0002827966,0.0002485311,0.0002780212,0.0001762443,0.00007859745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006892128,"about_ca_system_score_gemma":0.0009253342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056823,"about_ca_topic_score_gemma":0.02852506,"domain_scores_codex":[0.9997523,0.00004272567,0.00002034342,0.00006613518,0.00006799251,0.00005039156],"domain_scores_gemma":[0.9998425,0.0000148792,0.0000681347,0.00001226139,0.0000363365,0.00002575071],"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":[0.001352563,0.0003614077,0.0282502,0.000600827,0.0001679147,0.0001918539,0.00009441392,0.002372297,0.9282264,0.0002092345,0.0001496227,0.03802352],"study_design_scores_gemma":[0.0004000951,0.01351223,0.5297603,0.0001422997,0.0007236318,0.0004221198,0.001172334,0.01561848,0.4182707,0.001020899,0.01887386,0.00008294595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985677,0.0003092962,0.0005318889,0.00003164871,0.000009131577,0.00002193685,0.00007766541,0.000009556203,0.0004410073],"genre_scores_gemma":[0.9969962,0.0004958506,0.001755763,0.00005597395,0.000004421002,0.00002475073,0.0001164586,0.000004807327,0.0005458176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01056823,"threshold_uncertainty_score":0.02101344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007985570695311257,"score_gpt":0.2181137978198521,"score_spread":0.2101282271245409,"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."}}