{"id":"W1019455203","doi":"","title":"结球甘蓝细胞质雄性不育（CMS）类型的分子鉴定","year":2009,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0005149669,0.0006285836,0.0003939564,0.0008495051,0.0008251389,0.001413449,0.0004104524,0.0005523433,0.005256427],"category_scores_gemma":[0.0004874186,0.0002601916,0.000648224,0.0007672061,0.0006291955,0.001468074,0.000629138,0.0009068794,0.001876462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250358,"about_ca_system_score_gemma":0.001622679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003608964,"about_ca_topic_score_gemma":0.002962349,"domain_scores_codex":[0.9994117,0.00004397455,0.00003454286,0.000144317,0.0002677808,0.00009765581],"domain_scores_gemma":[0.9997804,0.00002955846,0.00003569058,0.00001572505,0.0000861612,0.00005256798],"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":[0.0004375421,0.00007345765,0.01018611,0.000585844,0.00007189162,0.0005502461,0.0006807906,0.001751699,0.8936604,0.01124995,0.004132316,0.07661974],"study_design_scores_gemma":[0.0001379701,0.0004741916,0.09626088,0.0001591243,0.0002952294,0.001801179,0.003279933,0.01049897,0.6875228,0.01189064,0.1874072,0.0002718668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7849227,0.004931666,0.06763801,0.0018399,0.0006187534,0.0003800319,0.005440495,0.002105944,0.1321225],"genre_scores_gemma":[0.9294706,0.002137759,0.03027822,0.0004300369,0.00011353,0.0001860197,0.004979037,0.0001779747,0.03222677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005256427,"threshold_uncertainty_score":0.01758444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008101758111753817,"score_gpt":0.242427887584961,"score_spread":0.2343261294732072,"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."}}