{"id":"W4251127243","doi":"10.5376/mpb.cn.2012.10.0011","title":"元阳梯田月亮谷与测序水稻日本晴多态性SSR标记筛选","year":2012,"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":false,"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":[0.001380292,0.0002828624,0.0002672343,0.001086016,0.001698063,0.005232392,0.0005645471,0.001090186,0.02018016],"category_scores_gemma":[0.003130644,0.0002029347,0.0002540612,0.001025285,0.004621694,0.004451667,0.0008617185,0.001217851,0.003038206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002949219,"about_ca_system_score_gemma":0.002597762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005371366,"about_ca_topic_score_gemma":0.003590375,"domain_scores_codex":[0.999175,0.0002112334,0.00004372663,0.0001904048,0.0002865668,0.00009307952],"domain_scores_gemma":[0.9988675,0.0004059364,0.0001437389,0.0001077021,0.0003951132,0.00008009676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001013154,0.00001680122,0.0007645826,0.00003916733,0.00001198955,0.00004245682,0.001202095,0.0005645569,0.0003056177,0.9772743,0.002192804,0.01757556],"study_design_scores_gemma":[0.00001214877,0.00003673445,0.003538926,0.00005957918,0.00002563852,0.000108324,0.003643004,0.00147273,0.0009951844,0.9204304,0.06965577,0.00002162891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05860033,0.001716312,0.02917058,0.01149926,0.0002947363,0.00005868665,0.0002359751,0.00009982089,0.8983244],"genre_scores_gemma":[0.8815482,0.001184839,0.008883948,0.0009756791,0.0002092709,0.00005970087,0.00008935622,0.00003993681,0.1070091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02018016,"threshold_uncertainty_score":0.06750935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181641821302592,"score_gpt":0.2104244854973513,"score_spread":0.1986080672843254,"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."}}