{"id":"W2350804908","doi":"","title":"Comparative Study on Yield and Quality Traits of Spring Wheat Cultivars in Shenyang","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cultivar; Spring (device); Yield (engineering); Agronomy; Biology; Horticulture; Engineering; Materials science","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":[0.0004043989,0.00009659927,0.0002033897,0.00001032315,0.00008644987,0.00002182359,0.0001693193,0.0000554388,0.000004374846],"category_scores_gemma":[0.00007571703,0.00003212015,0.00002421981,0.0002502775,0.00007098044,0.00009703438,0.00004650085,0.0002228361,0.000005848996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006567482,"about_ca_system_score_gemma":0.00000280517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001687762,"about_ca_topic_score_gemma":0.02228611,"domain_scores_codex":[0.9991494,0.00006987179,0.0001810265,0.0002477972,0.0001937121,0.0001581408],"domain_scores_gemma":[0.9994593,0.000352194,0.00006732657,0.00003401101,0.00002812311,0.0000591048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001730452,0.0001481994,0.5465577,0.00000151036,0.000002436745,0.000001087699,0.001445013,0.000002510296,0.4512475,0.0001686445,0.00000561443,0.0004025108],"study_design_scores_gemma":[0.0001182823,0.0001803202,0.9823059,0.00001489583,0.000002093323,8.730044e-7,0.00525142,0.00001116435,0.0119559,0.00004183456,0.00002459043,0.00009268856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981716,0.000008589345,2.330153e-7,0.0001477903,0.0000551839,0.0002477466,0.00001178617,0.0000180448,0.001339051],"genre_scores_gemma":[0.9998335,0.000001187881,0.00003038331,0.00003480111,0.00003546413,0.000005091735,0.000001819901,2.256094e-7,0.00005757866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4392915,"threshold_uncertainty_score":0.9955546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06723551105435262,"score_gpt":0.2886853474428672,"score_spread":0.2214498363885146,"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."}}