{"id":"W2384184065","doi":"","title":"Seed Production Technology of Maize Hybrid Qiandan No.23","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Agronomy; Biology; Biotechnology; Horticulture; Economics","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":[0.0001371431,0.00006977984,0.0001173143,0.0000107519,0.00007916391,0.00001022657,0.0001460753,0.00008271523,0.0001356331],"category_scores_gemma":[0.0001751823,0.00002553333,0.00004851569,0.000185232,0.0001111387,0.00004461946,0.0000391783,0.0001551509,0.00006923503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004166929,"about_ca_system_score_gemma":0.000005124813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001186314,"about_ca_topic_score_gemma":0.0006599351,"domain_scores_codex":[0.9994237,0.00001325246,0.0001335801,0.0001939625,0.00008931306,0.0001461816],"domain_scores_gemma":[0.9997061,0.00002308364,0.00005052421,0.00008007552,0.0001049635,0.00003518004],"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":[0.0000271819,0.00004813742,0.05494969,0.000003946001,0.000003165049,7.544242e-7,0.00001431528,9.783215e-8,0.935756,0.0001154328,0.00008820477,0.00899311],"study_design_scores_gemma":[0.00006009558,0.00009012207,0.7998362,0.000004372041,0.000004050386,0.000007010407,0.00007726712,0.000009660316,0.1889018,0.001065814,0.00986874,0.00007496396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944692,0.00001278355,4.42075e-7,0.002538391,0.0005209218,0.0001135487,0.00001009969,0.00008598941,0.002248677],"genre_scores_gemma":[0.9982936,0.000003691704,0.00007007404,0.00003459675,0.0002408207,0.000004500397,0.00001606464,4.29323e-7,0.001336177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7468542,"threshold_uncertainty_score":0.1485088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007875461975119657,"score_gpt":0.197839481301262,"score_spread":0.1899640193261424,"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."}}