{"id":"W1042863549","doi":"","title":"水稻白条叶突变体（st10）的遗传分析与基因定位","year":2011,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","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":[0.0003185992,0.0005678805,0.0002874457,0.0007925482,0.0007791043,0.001437988,0.0003781233,0.0006645787,0.005646185],"category_scores_gemma":[0.0004160443,0.0003682935,0.0003659301,0.000744568,0.0007829171,0.001584962,0.0003905354,0.0008611156,0.001930984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269642,"about_ca_system_score_gemma":0.001156735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002826777,"about_ca_topic_score_gemma":0.003028122,"domain_scores_codex":[0.9996319,0.00003784937,0.00002352002,0.0001193377,0.0001271079,0.00006024501],"domain_scores_gemma":[0.9997843,0.00004056974,0.00004884637,0.0000113499,0.00008365898,0.00003131545],"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":[0.0005528549,0.0001328869,0.01062224,0.0006767942,0.00007930478,0.00096422,0.001746606,0.004823963,0.8500847,0.02254908,0.003915105,0.103852],"study_design_scores_gemma":[0.0001177668,0.0005681436,0.03250074,0.0001142916,0.0001941496,0.001570289,0.003970945,0.0101893,0.8179491,0.02315217,0.1094898,0.0001832265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7746718,0.005256935,0.08718189,0.001631778,0.0004706027,0.0002655593,0.001664589,0.001369752,0.1274871],"genre_scores_gemma":[0.9188278,0.002092754,0.02805784,0.000253385,0.00005666891,0.0001550962,0.0009877348,0.0001502497,0.04941844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005646185,"threshold_uncertainty_score":0.01888841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08769174442040055,"score_gpt":0.2558145032632954,"score_spread":0.1681227588428948,"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."}}