{"id":"W4239226520","doi":"10.1360/csb2012-57-33-3208","title":"砷对核苷酸切除修复的抑制","year":2012,"lang":"ja","type":"article","venue":"Chinese Science Bulletin (Chinese Version)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006291506,0.0002842948,0.0002762266,0.001063624,0.002231396,0.003249991,0.000389077,0.000567591,0.07663852],"category_scores_gemma":[0.001471138,0.0001614118,0.0002082771,0.002023928,0.002226958,0.001780904,0.0006919743,0.0009027808,0.01508618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003678743,"about_ca_system_score_gemma":0.00697981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05424787,"about_ca_topic_score_gemma":0.04183327,"domain_scores_codex":[0.9996938,0.00002506899,0.0000235689,0.00005131583,0.0001468936,0.00005940445],"domain_scores_gemma":[0.9994923,0.00005159346,0.00002447605,0.00004153205,0.000315959,0.00007410239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001151759,0.00007187537,0.005244567,0.0004840032,0.00003040291,0.0002906334,0.005290045,0.0002295325,0.001625144,0.325168,0.5080054,0.1534451],"study_design_scores_gemma":[0.00002183527,0.00002593968,0.0186356,0.0000965117,0.00003897708,0.000136784,0.001952961,0.0001824337,0.0008270792,0.02894136,0.9491147,0.00002581916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02513887,0.006297781,0.001881782,0.03434024,0.004960246,0.0001085102,0.001609526,0.0002181801,0.9254448],"genre_scores_gemma":[0.2308851,0.009092997,0.002247488,0.003259619,0.001240654,0.00009912567,0.001371782,0.00006996546,0.7517332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07663852,"threshold_uncertainty_score":0.2563814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008737483025343292,"score_gpt":0.2677151990767579,"score_spread":0.2589777160514147,"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."}}