{"id":"W921994348","doi":"","title":"籼稻品种H359基因组可转化人工染色体（TAC）文库的构建","year":2003,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0003280096,0.0002298148,0.0001503565,0.0003785498,0.00126608,0.001490889,0.0003995445,0.0005894857,0.008030035],"category_scores_gemma":[0.0003222527,0.0001640818,0.0002678631,0.0003935659,0.001103648,0.00139946,0.0004165231,0.0005730439,0.002387517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645187,"about_ca_system_score_gemma":0.00144456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008773965,"about_ca_topic_score_gemma":0.006405551,"domain_scores_codex":[0.9997752,0.0000260685,0.000008991146,0.00005152559,0.00008215036,0.00005606968],"domain_scores_gemma":[0.9997924,0.00002856926,0.00002482533,0.00001459017,0.0001005494,0.00003911954],"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":[0.001080303,0.0002051265,0.01150917,0.0005538537,0.00009436822,0.00151573,0.00552568,0.00514034,0.4611715,0.2552584,0.02033096,0.2376147],"study_design_scores_gemma":[0.0001476662,0.0008880877,0.02739252,0.0001349364,0.0001170516,0.001333823,0.01130711,0.007173336,0.3883466,0.08285881,0.4801166,0.0001834053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5400229,0.003763709,0.02630763,0.003409986,0.0006270605,0.0001212218,0.000792449,0.0005162159,0.4244389],"genre_scores_gemma":[0.9509728,0.0007554478,0.008276969,0.0003830421,0.00005110209,0.00003770426,0.0004036495,0.00005475996,0.03906465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008773965,"threshold_uncertainty_score":0.0268631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008894378334173832,"score_gpt":0.1986717068907212,"score_spread":0.1897773285565473,"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."}}