{"id":"W994074493","doi":"","title":"水稻OsNAD-ME1的克隆、预测及逆境下的表达分析","year":2011,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":[0.0004540395,0.0005140586,0.000353056,0.0006535769,0.001196192,0.001936191,0.0004161557,0.000622722,0.004262258],"category_scores_gemma":[0.0005833886,0.0003816045,0.0005183082,0.0009663592,0.0008637769,0.002612267,0.0005796708,0.001186958,0.00191427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735847,"about_ca_system_score_gemma":0.001970652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004119201,"about_ca_topic_score_gemma":0.00312729,"domain_scores_codex":[0.9996458,0.0000328161,0.00002749143,0.0001469604,0.00009728479,0.0000496328],"domain_scores_gemma":[0.9997845,0.00003686513,0.00003083013,0.00001589716,0.00009896558,0.0000329736],"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":[0.0008399838,0.0001594751,0.02249637,0.001805564,0.0001084307,0.001262453,0.00475755,0.005238828,0.6855507,0.09135278,0.01470845,0.1717194],"study_design_scores_gemma":[0.0001251151,0.0002248889,0.04016374,0.0002079283,0.0002069049,0.00219319,0.006835419,0.01173185,0.5137144,0.03488628,0.3894414,0.0002689122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.644823,0.01065964,0.1527756,0.003313534,0.001152568,0.0005111726,0.006203047,0.002652359,0.1779092],"genre_scores_gemma":[0.8445774,0.005047156,0.06822083,0.0006162061,0.0001376629,0.0003255718,0.005145059,0.0003233005,0.07560681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004262258,"threshold_uncertainty_score":0.01425868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920276959884917,"score_gpt":0.2248296576771112,"score_spread":0.205626888078262,"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."}}