{"id":"W2369788090","doi":"","title":"Analysis on Variation of Agronomic Traits of Progenies of Winter Wheat Lantian No.17 Induced by Space Environment","year":2012,"lang":"en","type":"article","venue":"Seed","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Mutant; Mutation breeding; Significant difference; Selection (genetic algorithm); Winter wheat; Horticulture; Offspring; Agronomy; Botany; Genetics; Gene","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":[0.0001847057,0.00009150026,0.0002171917,0.00001886815,0.00002937221,0.000005166128,0.0001641534,0.0000672928,0.00002838118],"category_scores_gemma":[0.00001437796,0.00003334738,0.0001028128,0.000208983,0.00004730557,0.0001057963,0.00003040225,0.00004304073,0.00001629245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001804709,"about_ca_system_score_gemma":0.000002495522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003201764,"about_ca_topic_score_gemma":0.0001064504,"domain_scores_codex":[0.999222,0.00004761816,0.0002106315,0.0001522713,0.0002071137,0.0001604084],"domain_scores_gemma":[0.9995944,0.00005996737,0.0002209626,0.00004650036,0.00002454502,0.00005355316],"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":[0.00002091881,0.0001360059,0.09168454,0.000004237533,0.00005952664,3.303815e-8,0.0004221882,0.00002887077,0.9072579,0.00003172027,0.00006683108,0.0002872744],"study_design_scores_gemma":[0.00005456748,0.0001511367,0.876273,0.00000792255,0.00006270861,2.573491e-7,0.0001961446,0.00003591093,0.1230512,0.000005256568,0.00009453497,0.0000672793],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990847,0.00003313755,0.000005788414,0.0001368636,0.00003179412,0.0001278176,0.00008825744,0.000006974401,0.0004846963],"genre_scores_gemma":[0.9995748,0.000006171302,0.00007863889,0.00001641577,0.00004040046,0.000003030557,0.00006125556,3.940148e-7,0.0002189164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7845885,"threshold_uncertainty_score":0.1359867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109639382828159,"score_gpt":0.1858501224905749,"score_spread":0.174886184207759,"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."}}