{"id":"W7117234154","doi":"10.4236/ajps.2025.1612086","title":"Evaluating Nutrient Removal and Use Efficiency in Pearl Millet (<i>Pennisetum glaucum </i>L.) through Arbuscular Mycorrhizal Fungi Inoculation and Fertilizer Microdosing in Sahelian Sandy Soils","year":2025,"lang":"","type":"article","venue":"American Journal of Plant Sciences","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; International Development Research Centre; Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation","keywords":"Nutrient; Fertilizer; Pearl; Phosphorus; Manure; Pennisetum; Inoculation; Micronutrient","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":[0.000268964,0.0003611281,0.0003399612,0.0002970658,0.0002723418,0.0003758412,0.0003845466,0.0002744374,0.0002735289],"category_scores_gemma":[0.0001755826,0.000186458,0.0002937025,0.0002431654,0.0001604038,0.0004012299,0.0003468376,0.0004160931,0.0001056731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005310043,"about_ca_system_score_gemma":0.0003594809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00513377,"about_ca_topic_score_gemma":0.008280885,"domain_scores_codex":[0.9998059,0.00003609079,0.0000241328,0.00005736584,0.00004841471,0.00002819525],"domain_scores_gemma":[0.9997651,0.00004213808,0.00007488779,0.00001171079,0.00003639694,0.00006983199],"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":[0.0002373147,0.0001277822,0.00252686,0.00008677594,0.00001639847,0.00005993712,0.00003777318,0.00009690124,0.9944074,0.00001083366,0.00001164872,0.002380412],"study_design_scores_gemma":[0.0001074406,0.01011085,0.2719465,0.0000286636,0.0001801663,0.0003255642,0.0006011691,0.003522017,0.7113484,0.00007774265,0.001704262,0.00004722319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995021,0.0002035178,0.0001421915,0.00001057247,0.000002146415,0.000007458861,0.00004196572,0.000004649886,0.00008540204],"genre_scores_gemma":[0.9977581,0.0003148413,0.001042827,0.00004277978,0.00000246653,0.00002630148,0.000198639,0.00000658747,0.0006074458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00513377,"threshold_uncertainty_score":0.01020777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663237649029401,"score_gpt":0.2773030353936998,"score_spread":0.2506706589034058,"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."}}