{"id":"W970275972","doi":"","title":"Core Collection Based Backcrossing： An Efficient Approach for Breeding, Germplasm Enhacement and Gene Discovery","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Backcrossing; Germplasm; Core (optical fiber); Computer science; Genetics; Biology; Gene; Computational biology; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004902395,0.0001208002,0.00008893052,0.0000399802,0.0002218614,0.00005790671,0.00005564819,0.0001120717,0.000002127539],"category_scores_gemma":[0.00001882778,0.0001103513,0.00004890444,0.00006900117,0.00008055516,0.000003100648,0.00003546535,0.00004060405,4.426582e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001959349,"about_ca_system_score_gemma":0.0000392537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001385282,"about_ca_topic_score_gemma":0.0000135262,"domain_scores_codex":[0.9990752,0.00001379382,0.0001511741,0.0004468581,0.00009621245,0.0002167584],"domain_scores_gemma":[0.999593,0.000005268704,0.00006460114,0.0001893427,0.00007363502,0.00007416232],"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":[0.0001810748,0.0001614265,0.0009274166,0.00002509472,0.00001729511,3.724509e-7,0.00005090312,0.00165511,0.9949061,0.00004078409,0.000344562,0.001689896],"study_design_scores_gemma":[0.00139301,0.001917509,0.02147621,0.000008112839,0.00004714706,0.00003420074,0.0002688509,0.0159563,0.9473067,0.00002047119,0.01119849,0.0003730097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7421533,0.000240394,0.2566026,0.0000165452,0.0001610485,0.0002704646,0.00001054802,0.000008715311,0.000536355],"genre_scores_gemma":[0.9839662,0.00001906651,0.01380184,0.00006774608,0.0004980355,0.00002188849,0.0001505163,0.00002117585,0.001453535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428008,"threshold_uncertainty_score":0.4499996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196131097983892,"score_gpt":0.2881301213902603,"score_spread":0.2561688104104214,"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."}}