{"id":"W959880099","doi":"","title":"小麦PEBP-like基因等位变异与籽粒大小、粒重关系研究","year":2009,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","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":[0.0004540821,0.0003596955,0.0002301632,0.0006056709,0.00111489,0.002063117,0.0004139204,0.0006202267,0.007259447],"category_scores_gemma":[0.0005268744,0.0003445021,0.0004115655,0.0008002438,0.001583437,0.002234602,0.0006271597,0.001396208,0.002513215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002751822,"about_ca_system_score_gemma":0.001584992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009661863,"about_ca_topic_score_gemma":0.004930956,"domain_scores_codex":[0.9996983,0.00003685643,0.00001483417,0.000101455,0.00009532392,0.00005333778],"domain_scores_gemma":[0.9997393,0.00004685209,0.00004318474,0.0000247382,0.0001033951,0.00004251741],"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":[0.0005890015,0.0001743995,0.0159168,0.0005028142,0.0001310144,0.001000163,0.005867155,0.004467035,0.5278948,0.2900361,0.009091588,0.1443293],"study_design_scores_gemma":[0.0001040015,0.0003703261,0.0889279,0.0002375151,0.0001805076,0.001598862,0.01158889,0.007084208,0.3956868,0.1705386,0.3233795,0.0003029335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5762056,0.004288543,0.06492052,0.005410189,0.0004415821,0.000163851,0.001949577,0.0008268562,0.3457933],"genre_scores_gemma":[0.8954453,0.001763226,0.01846013,0.0007030219,0.00005015702,0.00007668131,0.0009862304,0.0001355524,0.08237966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009661863,"threshold_uncertainty_score":0.02428532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324617411875513,"score_gpt":0.2403031458061608,"score_spread":0.2170569716874057,"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."}}