{"id":"W294369409","doi":"","title":"黄瓜（Cucumis sativus L.）种子含油量性状的QTL定位与分析","year":2011,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cucumis; Biology; Botany","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":[0.0004542343,0.001093485,0.0005327165,0.0009304539,0.001265808,0.0006284153,0.0006299609,0.0004041329,0.01049587],"category_scores_gemma":[0.0003564646,0.0003769935,0.0007933779,0.0008738934,0.000336763,0.0005951755,0.0004950098,0.0007642286,0.002172636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792912,"about_ca_system_score_gemma":0.0009918239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02414783,"about_ca_topic_score_gemma":0.03602384,"domain_scores_codex":[0.9996138,0.00004045357,0.00001717115,0.00014685,0.00013086,0.00005092174],"domain_scores_gemma":[0.999733,0.00002908328,0.00003533053,0.00002367212,0.0001115708,0.00006732056],"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":[0.0009470152,0.00008583147,0.01016836,0.001145337,0.0001746001,0.0004609702,0.0005306225,0.001661257,0.8942937,0.003130218,0.01478325,0.07261882],"study_design_scores_gemma":[0.0006212457,0.001175095,0.2871377,0.0002409269,0.001043607,0.001878209,0.0008080479,0.02020683,0.3288961,0.003774306,0.3536289,0.000589042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7652376,0.009920173,0.06833201,0.002376836,0.001670475,0.0009270812,0.04067206,0.009923655,0.1009401],"genre_scores_gemma":[0.8471214,0.002142444,0.03700181,0.001258599,0.0001685812,0.0007708594,0.02551922,0.001334613,0.08468244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02414783,"threshold_uncertainty_score":0.04801458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067602920021719,"score_gpt":0.2001983374808223,"score_spread":0.1695223082806051,"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."}}