{"id":"W4241110330","doi":"10.5376/mpb.cn.2011.09.0069","title":"百合花粉萌发液体培养基的筛选","year":2011,"lang":"zh","type":"article","venue":"分子植物育种","topic":"","field":"","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":[0.0008939042,0.0002105421,0.0001924683,0.0006689733,0.002231769,0.004614158,0.0004590579,0.0008776786,0.02024107],"category_scores_gemma":[0.001815882,0.000165286,0.0001900592,0.0006392505,0.007714405,0.003673214,0.0008857269,0.001158897,0.003216741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002507688,"about_ca_system_score_gemma":0.001977698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004851693,"about_ca_topic_score_gemma":0.003295904,"domain_scores_codex":[0.9994445,0.0001082007,0.00002119822,0.0001368702,0.0002123374,0.00007686691],"domain_scores_gemma":[0.9992959,0.0001738442,0.00007480883,0.00008796143,0.0002718467,0.00009562675],"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":[0.000008411888,0.000007704651,0.0003406065,0.00001833258,0.000005236956,0.00003081449,0.001220751,0.0001103078,0.0002119709,0.9850139,0.003191078,0.00984095],"study_design_scores_gemma":[0.000009990912,0.00001646174,0.001645991,0.00002875382,0.00001228633,0.00007231467,0.002937131,0.0003468001,0.0007364007,0.8767627,0.1174182,0.00001282175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03732446,0.001811952,0.01954679,0.01543433,0.0007296618,0.00002886734,0.0001172375,0.00007210323,0.9249346],"genre_scores_gemma":[0.8301208,0.001293368,0.006777154,0.001552593,0.0003835338,0.00004111645,0.00008725189,0.00004692754,0.1596972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02024107,"threshold_uncertainty_score":0.06771314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029869710622701,"score_gpt":0.2495974261156107,"score_spread":0.1466104550533406,"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."}}