{"id":"W151691432","doi":"","title":"北美海蓬子Na^＋/H^＋逆向运输蛋白基因的克隆及拟南芥转化分析","year":2007,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant Stress Responses and Tolerance","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":[0.0002367271,0.0002915012,0.0003921395,0.0002705617,0.0005842778,0.0009373418,0.0003234424,0.0004008479,0.003947405],"category_scores_gemma":[0.0001652532,0.000274197,0.0003285614,0.0004839007,0.0005801274,0.0007638322,0.0002989977,0.0006951231,0.001094069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130378,"about_ca_system_score_gemma":0.001170259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003856759,"about_ca_topic_score_gemma":0.003168778,"domain_scores_codex":[0.9997709,0.00002143976,0.00001796145,0.00009546131,0.00006501359,0.00002918803],"domain_scores_gemma":[0.9999177,0.00001267577,0.00001638392,0.000007275488,0.0000271312,0.0000187546],"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":[0.0003083198,0.00002907265,0.002553222,0.0006133266,0.00002633358,0.0002766303,0.0003232238,0.0003994387,0.9610091,0.006602162,0.00103495,0.02682435],"study_design_scores_gemma":[0.0001056246,0.000156165,0.02800509,0.0000919638,0.0001184715,0.0008116648,0.001132884,0.003626291,0.8523582,0.007355546,0.1061577,0.0000804038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440633,0.01078631,0.1199175,0.0024951,0.0007476178,0.0004935515,0.006239951,0.001172831,0.1140838],"genre_scores_gemma":[0.8856127,0.003834227,0.04276133,0.0004403364,0.0001073692,0.0002668728,0.004405881,0.0001901905,0.06238109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003947405,"threshold_uncertainty_score":0.01320541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070886586852293,"score_gpt":0.2377399174137631,"score_spread":0.2170310515452402,"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."}}