{"id":"W4400388580","doi":"10.1002/crso.20377","title":"4R Nutrient Management for Magnesium","year":2024,"lang":"en","type":"article","venue":"Crops & Soils","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Magnesium; Nutrient; Stewardship (theology); Nutrient management; Reading (process); Environmental stewardship; Computer science; Environmental science; Chemistry; Political science; Biology; Ecology; Environmental resource management","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":["insufficient_payload"],"category_scores_codex":[0.0002405148,0.0001567836,0.0001107341,0.00004335717,0.0001398228,0.0001447076,0.0002622006,0.00003555326,0.001456441],"category_scores_gemma":[0.000003951182,0.0001348819,0.0001110956,0.0002702298,0.00008362265,0.0001539099,0.0002998036,0.00006061167,0.002321701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001819445,"about_ca_system_score_gemma":0.000003825654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003739888,"about_ca_topic_score_gemma":0.000007947792,"domain_scores_codex":[0.9986765,0.00001081196,0.0001869757,0.0004641807,0.0002676782,0.0003937974],"domain_scores_gemma":[0.9995399,0.00002394593,0.00002361342,0.0003091393,0.000004134441,0.00009933756],"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":[0.0001355727,0.0005236601,0.002309972,0.0008749079,0.0001186764,0.0002429934,0.0009284823,0.0004055497,0.002154381,0.1174677,0.6572573,0.2175808],"study_design_scores_gemma":[0.0003247766,0.00009305737,0.004023703,0.00002900434,0.00006489625,0.000002124677,0.00009913226,0.001826185,0.003103338,0.01187464,0.9783347,0.0002243972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5114043,0.00288497,0.04144813,0.004298943,0.004067694,0.003616458,0.00006885655,0.0008196014,0.431391],"genre_scores_gemma":[0.9533269,0.0001757997,0.002171462,0.0006035063,0.0001234312,0.0003709756,0.00001885044,0.00003727376,0.0431718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4419226,"threshold_uncertainty_score":0.9994563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007580340672490453,"score_gpt":0.2299615339800113,"score_spread":0.2223811933075209,"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."}}