{"id":"W1004976766","doi":"","title":"编码荔枝乙烯受体（LcERSl）的cDNA基因的克隆与分析","year":2003,"lang":"zh","type":"article","venue":"分子植物育种","topic":"GABA and Rice 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":[0.001308952,0.001473236,0.001300255,0.0009820684,0.002323142,0.001890332,0.001204681,0.001410759,0.01666762],"category_scores_gemma":[0.0008363999,0.001320502,0.001940142,0.001311546,0.001542913,0.002314616,0.001022071,0.004953151,0.01375518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002641662,"about_ca_system_score_gemma":0.003351801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207427,"about_ca_topic_score_gemma":0.003159515,"domain_scores_codex":[0.9975433,0.0002595616,0.0002891054,0.0009285086,0.0005750053,0.0004046057],"domain_scores_gemma":[0.9992203,0.0002657022,0.00007393456,0.0001477536,0.0002193707,0.00007290802],"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":[0.0002758777,0.0002145208,0.0005721449,0.0006389535,0.00003716808,0.0003572532,0.000556406,0.0004083024,0.9736614,0.00540596,0.003491367,0.01438062],"study_design_scores_gemma":[0.00006552826,0.0001559911,0.001325248,0.00008130034,0.00009214029,0.0003016451,0.0002732183,0.001410606,0.9134789,0.00122831,0.08153315,0.00005394857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3364245,0.006161533,0.4498405,0.005030286,0.003923477,0.003954353,0.04049411,0.01219364,0.1419776],"genre_scores_gemma":[0.2866155,0.003737681,0.3844631,0.003077939,0.0006448385,0.004862002,0.09059104,0.002981342,0.2230265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01666762,"threshold_uncertainty_score":0.05575871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489172558093889,"score_gpt":0.2765720102694283,"score_spread":0.2276547544600395,"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."}}