{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058009,0.0009463198,0.001151594,0.002394358,0.001087341,0.001329815,0.001588355,0.0007045071,0.004654946],"category_scores_gemma":[0.0009202593,0.0009460062,0.001193789,0.001254809,0.0006883522,0.0006861436,0.002389351,0.002677622,0.00344366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599095,"about_ca_system_score_gemma":0.001193504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003141884,"about_ca_topic_score_gemma":0.008971521,"domain_scores_codex":[0.9982074,0.0002677051,0.0001571008,0.0002661627,0.0008753625,0.0002262386],"domain_scores_gemma":[0.9984975,0.0002487397,0.000195107,0.0005577095,0.0002175449,0.0002833467],"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":[0.0001416427,0.0001183931,0.0005066277,0.00007934291,0.00003688606,0.00009099799,0.00006727109,0.0001413467,0.9767075,0.001270279,0.001296002,0.01954364],"study_design_scores_gemma":[0.0001008513,0.0004131077,0.007099243,0.00004194273,0.0001662022,0.001388031,0.00005634299,0.003363354,0.94002,0.0006431036,0.04664299,0.00006481224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.259073,0.001802007,0.6987333,0.0004821282,0.0004568373,0.004931835,0.006226506,0.007717565,0.02057685],"genre_scores_gemma":[0.3350354,0.002163186,0.592099,0.0007586539,0.0001215287,0.002625454,0.02376969,0.004066441,0.03936059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004654946,"threshold_uncertainty_score":0.01557231,"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."}}