{"id":"W1434924751","doi":"","title":"组织培养、分子标记和QT L技术在青花菜育种中的应用","year":2015,"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":"Medicine","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":[0.002264173,0.0003621046,0.0003013472,0.001536853,0.003003523,0.006625372,0.0008903175,0.001156579,0.01511976],"category_scores_gemma":[0.00604506,0.0002858235,0.0003920266,0.001839451,0.006375461,0.009184255,0.00137652,0.001717782,0.001540091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006255239,"about_ca_system_score_gemma":0.006671206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01593552,"about_ca_topic_score_gemma":0.009803141,"domain_scores_codex":[0.9986765,0.0004402867,0.00007341676,0.0002878143,0.0003675556,0.0001544009],"domain_scores_gemma":[0.9975016,0.001215222,0.0002664543,0.0001267802,0.0006950999,0.0001948195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001830172,0.0000326662,0.002239277,0.00008047,0.00001517807,0.00006882504,0.007259924,0.0009787382,0.00038023,0.9633912,0.003098429,0.02243668],"study_design_scores_gemma":[0.00003394736,0.00005651226,0.006397501,0.0001493665,0.00004889152,0.0001217189,0.0213264,0.003496476,0.001501856,0.8866817,0.08013393,0.00005154232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1190824,0.002490066,0.05182585,0.02310908,0.0003764431,0.000166458,0.000323764,0.0002235032,0.8024024],"genre_scores_gemma":[0.9421392,0.00122599,0.01300215,0.001209461,0.0001500571,0.0001319671,0.00007425123,0.00004433126,0.04202252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01593552,"threshold_uncertainty_score":0.05058062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289830488710448,"score_gpt":0.220949255149065,"score_spread":0.1980509502619606,"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."}}