{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006172182,0.00006746539,0.000148689,0.00006100841,0.00004519756,7.512365e-7,0.00007551425,0.00008963465,0.0002908266],"category_scores_gemma":[0.0001387379,0.000054956,0.00003347646,0.0001364081,0.0001640449,0.00001787476,0.00002790822,0.0001490575,0.0001853343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009998524,"about_ca_system_score_gemma":0.00004299178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004819885,"about_ca_topic_score_gemma":0.000001779108,"domain_scores_codex":[0.9995352,0.000005871255,0.0001551594,0.000140606,0.00005500253,0.0001081539],"domain_scores_gemma":[0.9995207,0.00003870091,0.00006284151,0.0002015952,0.0001419674,0.00003423993],"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":[0.0002702573,0.0003842212,0.1523188,0.00004045333,0.0001153516,0.00001187562,0.0001290988,6.988038e-7,0.7865829,0.057383,0.002105693,0.000657718],"study_design_scores_gemma":[0.0009460811,0.0004430165,0.4894666,0.00004719655,0.00006419737,0.00006852179,0.00006964149,0.0000301308,0.4953141,0.007189994,0.006233616,0.0001269414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877363,0.00004451021,0.0009730356,0.001231984,0.000113032,0.0002423843,0.0000362525,0.00009952806,0.009522976],"genre_scores_gemma":[0.9903776,0.000006936761,0.008253057,0.0002934494,0.00006557684,0.00002950398,0.00006978824,0.000006079525,0.0008980193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3371478,"threshold_uncertainty_score":0.3184347,"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."}}