{"id":"W7077067126","doi":"10.5376/msb.2025.16.0010","title":"Breeding Rice Varieties for Low Nitrogen Environments","year":2025,"lang":"en","type":"article","venue":"Molecular Soil Biology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Introgression; Nitrogen; Nitrogen fertilizer; Selection (genetic algorithm); Agriculture; Chlorophyll; Nutrient; Plant breeding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003389161,0.0003948394,0.0004383351,0.000652865,0.0002163371,0.0003022435,0.0005956463,0.0002889603,0.001888086],"category_scores_gemma":[0.0001796543,0.0002432711,0.0004591925,0.0005557733,0.00017352,0.0002277621,0.0005668865,0.0005318345,0.0009785038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000277045,"about_ca_system_score_gemma":0.0002980974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008277163,"about_ca_topic_score_gemma":0.002610578,"domain_scores_codex":[0.9998401,0.00001565696,0.00001911844,0.00005978641,0.00003480745,0.00003049668],"domain_scores_gemma":[0.9998437,0.00002010792,0.00003733613,0.00002590498,0.00002915616,0.00004370397],"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":[0.0002195978,0.00008478055,0.002540224,0.00007532603,0.00002323133,0.0001448448,0.00007977166,0.0004065266,0.9774352,0.0003424247,0.0003323911,0.01831574],"study_design_scores_gemma":[0.0003994173,0.002629483,0.2390738,0.0001128537,0.0006130263,0.002482864,0.0007395326,0.01334422,0.6491812,0.001568738,0.08971468,0.0001402469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471846,0.0004406663,0.04206101,0.000163986,0.00007041751,0.0002631861,0.001975546,0.001528017,0.006312398],"genre_scores_gemma":[0.8244919,0.001042693,0.1375939,0.000396165,0.0000363007,0.0004359341,0.01287735,0.001116163,0.02200967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001888086,"threshold_uncertainty_score":0.006316304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006819138704835606,"score_gpt":0.216901677813051,"score_spread":0.2100825391082154,"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."}}