{"id":"W2413713901","doi":"10.1002/chem.201601426","title":"In Vitro Selection of Chromium‐Dependent DNAzymes for Sensing Chromium(III) and Chromium(VI)","year":2016,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Chromium; Deoxyribozyme; Selection (genetic algorithm); In vitro; Chemistry; Environmental chemistry; Materials science; Metallurgy; Computer science; DNA; Biochemistry; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006169838,0.0002220031,0.0002736613,0.00005839338,0.0001085054,0.00003553628,0.0001453568,0.00009762897,0.000007940502],"category_scores_gemma":[0.0001489909,0.0001672525,0.0001453468,0.00008756044,0.0001533566,0.00001410308,0.00008545558,0.0001522391,7.120453e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005639571,"about_ca_system_score_gemma":0.00006287087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002162676,"about_ca_topic_score_gemma":0.000002365055,"domain_scores_codex":[0.9986258,0.00009866585,0.0004620051,0.0003818036,0.0001325341,0.0002992322],"domain_scores_gemma":[0.999143,0.00002408937,0.0003302626,0.0002092674,0.0001753475,0.0001180441],"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":[0.0003163892,0.00003750007,0.00005095727,0.00003598168,0.00005810109,0.00002148326,0.0000160413,0.00000293385,0.9878123,4.738901e-7,0.0007882447,0.01085958],"study_design_scores_gemma":[0.001522555,0.0001367751,0.0001260941,0.0001085414,0.00004205966,0.0007016264,0.00004276957,0.0001592735,0.9921291,0.00002673068,0.004771705,0.0002327409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897887,0.0003219477,0.009081502,0.0002373683,0.00005936696,0.0001002616,0.00002504251,0.00001940082,0.0003664643],"genre_scores_gemma":[0.9922246,0.0003857019,0.005663868,0.00007184512,0.0006402724,0.000001130923,0.00001736715,0.00003912464,0.0009561401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062683,"threshold_uncertainty_score":0.6820358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007793671606888675,"score_gpt":0.243870932319449,"score_spread":0.2360772607125603,"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."}}