{"id":"W637586580","doi":"","title":"甘蓝型油菜隐性上位互作核不育基因（Ms1）精细定位","year":2011,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007676778,0.0004377757,0.0003767672,0.0001404695,0.000193468,0.0000846074,0.0009137505,0.0007418169,0.001101169],"category_scores_gemma":[0.0003414835,0.0003975884,0.0003073358,0.0002299656,0.0006998416,0.00001009654,0.0006742835,0.000408121,0.001694326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003762324,"about_ca_system_score_gemma":0.0003936568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000160815,"about_ca_topic_score_gemma":0.0000910649,"domain_scores_codex":[0.9967558,0.0001538781,0.0006981206,0.0006251402,0.0006472709,0.001119778],"domain_scores_gemma":[0.9977724,0.00002422578,0.0001803045,0.001038117,0.0002872104,0.000697765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007807466,0.002810064,0.02072542,0.001672291,0.001586544,0.0002318673,0.006014455,0.00000302628,0.1550522,0.004764893,0.2453301,0.5610284],"study_design_scores_gemma":[0.003125514,0.003694602,0.02280621,0.0002014631,0.0002203477,0.00009086155,0.001865331,0.0003112183,0.2137007,0.005096958,0.7469662,0.001920637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08790912,0.009312306,0.003857634,0.001035763,0.002872394,0.001005593,0.0002881125,0.00007485488,0.8936442],"genre_scores_gemma":[0.9726034,0.004980028,0.003109542,0.0009237882,0.001402251,0.00002593536,0.0002494316,0.00006616605,0.01663949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8846943,"threshold_uncertainty_score":0.9998476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423817082438198,"score_gpt":0.2832630913206486,"score_spread":0.2490249204962666,"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."}}