{"id":"W972112355","doi":"","title":"目标区域扩增多态性（TRAP）：一种新的植物基因型标记技术","year":2004,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Phytochemical and Pharmacological Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trap (plumbing); Geography; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002109879,0.0003789017,0.0006162548,0.0000467964,0.0002145495,0.00002621874,0.0002353007,0.0002584795,0.002215513],"category_scores_gemma":[0.0002047622,0.0002846797,0.0002851031,0.0003772886,0.0003536249,0.00007328715,0.000190875,0.0006482432,0.002852304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002040595,"about_ca_system_score_gemma":0.000115183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009650554,"about_ca_topic_score_gemma":0.000004475728,"domain_scores_codex":[0.9978068,0.00005034481,0.0004276609,0.0005193133,0.0004157406,0.0007801139],"domain_scores_gemma":[0.9988805,0.000133849,0.00009646204,0.0002736977,0.0001034394,0.0005120438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002145435,0.01391176,0.03408022,0.002778544,0.004274884,0.003371754,0.006711405,0.0002076554,0.4992446,0.07350644,0.2512189,0.1085484],"study_design_scores_gemma":[0.03014534,0.004125116,0.1500685,0.002024963,0.002486884,0.0002141795,0.0009733882,0.00003384301,0.151823,0.2973855,0.3579341,0.002785099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4003972,0.03422545,0.00019761,0.01957144,0.001879959,0.0009100123,0.00008294225,0.000323138,0.5424122],"genre_scores_gemma":[0.987937,0.001762054,0.0002814181,0.004603118,0.002281462,0.0000463448,0.00001854463,0.00002979762,0.003040228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5875398,"threshold_uncertainty_score":0.9999605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108421698515871,"score_gpt":0.33581991516856,"score_spread":0.2847356981834013,"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."}}