{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002111225,0.0004430096,0.0004131664,0.001264522,0.0002709099,0.0003445221,0.0002435143,0.0001786717,0.0004485924],"category_scores_gemma":[0.0003614107,0.000162253,0.0006481864,0.001293832,0.0001642522,0.0002290332,0.0002920901,0.0001991146,0.0001001101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003894769,"about_ca_system_score_gemma":0.0004004356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002602099,"about_ca_topic_score_gemma":0.002721984,"domain_scores_codex":[0.9998257,0.00002041632,0.00001259179,0.0000833443,0.0000320973,0.00002594907],"domain_scores_gemma":[0.9998653,0.00003485546,0.00003730032,0.00001077562,0.00003599868,0.00001571853],"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":[0.0008232226,0.0002927292,0.1317834,0.0006276948,0.0006659704,0.0007445911,0.0003444555,0.03340366,0.7451094,0.0008451254,0.0005008965,0.08485893],"study_design_scores_gemma":[0.00004685976,0.0005096089,0.5274881,0.00004817402,0.0009097332,0.0008444122,0.0003126999,0.3426896,0.1224393,0.001495097,0.00315055,0.00006589368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729131,0.000509368,0.02496167,0.00004129438,0.000006902161,0.00006568622,0.000815208,0.0001317121,0.0005549508],"genre_scores_gemma":[0.9646914,0.0005332784,0.03028283,0.00003373478,0.000007771368,0.0001484482,0.003316362,0.00002679806,0.0009594253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002602099,"threshold_uncertainty_score":0.005173922,"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."}}