{"id":"W2390387191","doi":"","title":"Characteristics and High Yield Culture Technology of New Hybrid Variety Xingdan 131","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Variety (cybernetics); Mathematics; Statistics; Materials science; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001159907,0.0001521448,0.0001621129,0.0006473397,0.0003628335,0.0004742495,0.0001710766,0.0002127703,0.0008886568],"category_scores_gemma":[0.0001689119,0.0001227044,0.0002228806,0.0007779945,0.0001498348,0.0003595391,0.0001831988,0.0002278814,0.0001889801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002831886,"about_ca_system_score_gemma":0.0002381588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002469588,"about_ca_topic_score_gemma":0.00250666,"domain_scores_codex":[0.999921,0.000007931269,0.000005954113,0.00002272887,0.00002806874,0.00001438078],"domain_scores_gemma":[0.9999024,0.00002632205,0.00001458566,0.000007629969,0.0000287985,0.00002028141],"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":[0.0001244043,0.00004736582,0.01909084,0.00004634428,0.0000104927,0.0005916384,0.0002929551,0.0006962125,0.9717631,0.0006162362,0.0001009915,0.006619318],"study_design_scores_gemma":[0.00003292538,0.0007933897,0.3480148,0.0000150667,0.0001364214,0.001926164,0.001909171,0.007833055,0.6307778,0.0008283311,0.007671802,0.00006109999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974247,0.0001199208,0.0008992042,0.00002398114,0.000004748939,0.000006535069,0.00009814066,0.000007610025,0.001415174],"genre_scores_gemma":[0.9971743,0.0000840578,0.0005410617,0.00000828404,0.000002386092,0.000004125236,0.0002292616,0.000005691746,0.00195094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002469588,"threshold_uncertainty_score":0.004910469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007119487315136836,"score_gpt":0.2197158921412409,"score_spread":0.2125964048261041,"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."}}