{"id":"W7083017766","doi":"10.1016/j.jia.2025.09.013","title":"Microbial bioinputs in Brazilian agriculture","year":2025,"lang":"en","type":"article","venue":"Journal of Integrative Agriculture","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Universidade Federal do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Microbial inoculant; Agriculture; Phytosanitary certification; Biofertilizer; Bradyrhizobium; Crop; Trichoderma","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":[],"consensus_categories":[],"category_scores_codex":[0.0002752344,0.0002124569,0.0003438429,0.0001395444,0.00007387115,0.0001124863,0.0009389851,0.000194791,0.00001960064],"category_scores_gemma":[0.0002972459,0.00009925255,0.0001971906,0.001154019,0.00004183075,0.000384939,0.0001278068,0.0007405276,0.000006938926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115847,"about_ca_system_score_gemma":0.000111829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001519127,"about_ca_topic_score_gemma":0.000117556,"domain_scores_codex":[0.9988135,0.0001002055,0.0004675745,0.0002189399,0.0001756505,0.0002241684],"domain_scores_gemma":[0.9986405,0.00008184745,0.0003189036,0.000157191,0.0007341261,0.00006746377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003466965,0.000318275,0.002331676,0.00004664262,0.0001226055,0.0002612972,0.002979808,0.0003470574,0.4451626,0.02882209,0.5149305,0.004642718],"study_design_scores_gemma":[0.001724006,0.0003035187,0.04317611,0.001548136,0.00003588945,0.0008051185,0.003899143,0.0001798612,0.381009,0.01874699,0.5479973,0.0005749634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1984896,0.007091851,0.251273,0.2464534,0.006567052,0.001212359,0.00002993949,0.0002426616,0.2886401],"genre_scores_gemma":[0.9720894,0.00009231009,0.01119017,0.001449756,0.0003096804,0.000005081042,0.000005841294,0.000001756152,0.01485606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7735997,"threshold_uncertainty_score":0.4047401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00431236509008863,"score_gpt":0.2195006546945701,"score_spread":0.2151882896044814,"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."}}