{"id":"W2008817609","doi":"10.1111/ppl.12058","title":"The identification of candidate radio marker genes using a coexpression network analysis in gamma‐irradiated rice","year":2013,"lang":"en","type":"article","venue":"Physiologia Plantarum","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Atomic Energy of Canada Limited; Korea Atomic Energy Research Institute","keywords":"Candidate gene; Gene; Biology; Abiotic component; Abiotic stress; Genetics; Downregulation and upregulation; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002226445,0.00009777933,0.0002027954,0.00001752993,0.0002193371,0.00002944528,0.000167248,0.00004783788,0.00004257421],"category_scores_gemma":[0.00002378765,0.00003224182,0.00006310405,0.0005828134,0.00006197026,0.00005986537,0.00005043757,0.00005348129,0.00001293786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001456695,"about_ca_system_score_gemma":0.000005399779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002691898,"about_ca_topic_score_gemma":0.0005888777,"domain_scores_codex":[0.9990068,0.0001419588,0.0003244157,0.0001845038,0.0001093797,0.0002329573],"domain_scores_gemma":[0.9992947,0.0003419898,0.000225634,0.00005857991,0.00004908674,0.00003004107],"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":[0.0000484897,0.00001728285,0.07492772,0.000002931768,0.00009565793,5.557204e-7,0.00003924362,0.003422348,0.9183336,0.000006541398,0.0008812632,0.002224374],"study_design_scores_gemma":[0.0000614463,0.00001961722,0.9854119,0.000008791137,0.00005394721,9.445494e-7,0.0002101523,0.009299219,0.004416225,0.0001864471,0.0002466603,0.00008462807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998845,0.0006658831,0.00001156516,0.00009778089,0.00007357943,0.0001752858,0.00006883268,0.00001485136,0.00004726752],"genre_scores_gemma":[0.998785,0.0008055936,0.00003816884,0.00003442474,0.00005896828,0.0000207932,0.0001997194,5.038325e-7,0.00005686698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9139174,"threshold_uncertainty_score":0.4069363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576417321249349,"score_gpt":0.226442861697208,"score_spread":0.2106786884847145,"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."}}