{"id":"W1496019296","doi":"","title":"梅花品种“美人”叶片离体再生体系建立","year":2006,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant tissue culture and regeneration","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":[0.001138365,0.000359315,0.0003249333,0.0009593442,0.001464038,0.004810031,0.0006284437,0.0009914761,0.01005804],"category_scores_gemma":[0.001688796,0.0005145753,0.0004293973,0.001073429,0.00432408,0.005084343,0.0008102348,0.0009695902,0.001893728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003506235,"about_ca_system_score_gemma":0.002945869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006696925,"about_ca_topic_score_gemma":0.004667723,"domain_scores_codex":[0.9992573,0.0002084874,0.00005498747,0.000181677,0.0002172728,0.0000802993],"domain_scores_gemma":[0.9991691,0.0002774794,0.00009207567,0.00007910516,0.0003021274,0.00008003938],"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":[0.0002141932,0.0001057624,0.006852551,0.0005002441,0.0001167867,0.0005259269,0.01031358,0.006306584,0.04965992,0.7981254,0.007376298,0.1199026],"study_design_scores_gemma":[0.00008061101,0.0001862769,0.01623541,0.0001533254,0.0001403692,0.0007814854,0.01533992,0.007678633,0.07381736,0.5949363,0.2904663,0.0001839314],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2092081,0.005511543,0.1062084,0.009445073,0.0006137554,0.0001794939,0.0005199678,0.0003964698,0.6679172],"genre_scores_gemma":[0.9095644,0.001578481,0.03075265,0.0005175258,0.00008924907,0.0001324152,0.000172586,0.0000720483,0.05712074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01005804,"threshold_uncertainty_score":0.03364754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006319459818569936,"score_gpt":0.2139977888753019,"score_spread":0.207678329056732,"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."}}