{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006249123,0.0006430427,0.0005212044,0.001087837,0.001272164,0.002170747,0.0004670268,0.001119578,0.01000695],"category_scores_gemma":[0.0006927724,0.0004570172,0.0005109195,0.001058637,0.00089909,0.002258233,0.0005265476,0.001047996,0.005046623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677603,"about_ca_system_score_gemma":0.001213712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515686,"about_ca_topic_score_gemma":0.002978164,"domain_scores_codex":[0.9993698,0.0000841324,0.00004203731,0.0002295681,0.0001791389,0.0000952499],"domain_scores_gemma":[0.9996206,0.00006712862,0.00005622553,0.00002685515,0.000185738,0.00004339733],"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":[0.0009909199,0.00009667041,0.01147969,0.001525917,0.0001314106,0.001089959,0.002043037,0.003370152,0.8023575,0.02621845,0.006854028,0.1438423],"study_design_scores_gemma":[0.0001158576,0.0005140785,0.0478118,0.0003274707,0.0003014406,0.00343249,0.004711251,0.01031926,0.6624545,0.02718344,0.2425534,0.0002750992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.608366,0.02306973,0.09768669,0.003675398,0.0007152169,0.0003328317,0.004119335,0.001495615,0.2605392],"genre_scores_gemma":[0.8750408,0.006254618,0.03299161,0.0008269646,0.0001388811,0.0001513539,0.002846216,0.0002527266,0.08149681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000695,"threshold_uncertainty_score":0.03347653,"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."}}