{"id":"W2379839776","doi":"","title":"High-yield Cultivational Technology of Hybrid Silocorn Variety Chuandan Qingchu No.1","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Variety (cybernetics); Computer science; Materials science; Artificial intelligence; 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":[0.00009386101,0.0003225232,0.0002883771,0.0003170605,0.0003143483,0.0002905584,0.0001573701,0.0001439552,0.000646694],"category_scores_gemma":[0.00004954444,0.0001486558,0.0003572852,0.0002921628,0.00009574695,0.0001738905,0.0002129381,0.0002621023,0.0002718751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114002,"about_ca_system_score_gemma":0.0002196495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111129,"about_ca_topic_score_gemma":0.002422338,"domain_scores_codex":[0.9999439,0.000005088308,0.00000369865,0.00001661941,0.00001973297,0.00001098719],"domain_scores_gemma":[0.9999695,0.000004883657,0.000004647361,0.0000033902,0.00000750047,0.00001009909],"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":[0.00001601086,0.000006768873,0.0002890135,0.00003765159,0.000002080244,0.00007787267,0.00002809633,0.00009739423,0.9972757,0.00007103876,0.00004910052,0.00204942],"study_design_scores_gemma":[0.00002686796,0.0002335156,0.01662904,0.00001264121,0.00006895503,0.0005141149,0.0001032708,0.003103747,0.971169,0.0001714446,0.007946064,0.00002132915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970851,0.00133948,0.02048392,0.0001500001,0.00005048158,0.00005767432,0.0006162969,0.0001861174,0.006265054],"genre_scores_gemma":[0.9832649,0.0006792353,0.01009295,0.00003289886,0.000009731164,0.00004356242,0.001091328,0.00003397449,0.004751508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00111129,"threshold_uncertainty_score":0.002209604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123817119916065,"score_gpt":0.2346743462381896,"score_spread":0.2134361750390289,"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."}}