{"id":"W4395098302","doi":"10.5376/rgg.2024.15.0003","title":"Response Analysis of Root and Leaf Physiology and Metabolism under Drought Stress in Rice","year":2024,"lang":"en","type":"article","venue":"Rice Genomics and Genetics","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drought stress; Biology; Water stress; Root (linguistics); Fight-or-flight response; Botany; Physiology; Gene; Philosophy; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001674611,0.00008157115,0.0001660889,0.00004610889,0.00004269498,0.00004277054,0.00004896782,0.0000570549,0.00001605528],"category_scores_gemma":[0.000009652512,0.00003748852,0.00002820011,0.0003851821,0.00005038011,0.00002629115,0.00006831828,0.00005283146,4.483016e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007904182,"about_ca_system_score_gemma":0.000006406118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009383164,"about_ca_topic_score_gemma":0.0003594962,"domain_scores_codex":[0.9994019,0.00005274108,0.0001612714,0.0002215564,0.00005098654,0.0001115569],"domain_scores_gemma":[0.9996787,0.0001825106,0.0000368703,0.00003705187,0.00002151888,0.00004336292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003587997,0.00002627963,0.002187644,0.00001853034,0.00009156545,8.781137e-7,0.0004343757,0.0001017406,0.9877264,0.0003493688,0.000016052,0.009011268],"study_design_scores_gemma":[0.00010341,0.00006554448,0.9824303,0.000005097156,0.0001176555,0.000001027474,0.0006163295,0.003055962,0.008044616,0.0003897176,0.005071346,0.0000989395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933425,0.005412466,0.00001214644,0.001026664,0.00003843842,0.00007396449,0.00005187506,0.000005897186,0.00003604953],"genre_scores_gemma":[0.9970881,0.002459481,0.00009487149,0.0001957919,0.00002988304,0.000002725246,0.00001513594,7.890648e-7,0.0001132032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9802427,"threshold_uncertainty_score":0.1528738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773150252182142,"score_gpt":0.2406849295452965,"score_spread":0.2229534270234751,"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."}}