{"id":"W2132103430","doi":"10.1039/c4mt00222a","title":"Therapeutic and analytical applications of arsenic binding to proteins","year":2014,"lang":"en","type":"review","venue":"Metallomics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; China Scholarship Council; Alberta Health; Canada Research Chairs; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Arsenic; Acute promyelocytic leukemia; Chemistry; Biochemistry; Computational biology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074556,0.001055114,0.0005779716,0.001188543,0.0006885667,0.001003455,0.0007079112,0.001711311,0.002750958],"category_scores_gemma":[0.0006730096,0.0004287067,0.0008805844,0.0009435999,0.0008940238,0.0007484465,0.00108365,0.001579747,0.002245673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009898003,"about_ca_system_score_gemma":0.0007735766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004783,"about_ca_topic_score_gemma":0.0008833072,"domain_scores_codex":[0.9992282,0.0001605043,0.00003677845,0.0001677505,0.0003275502,0.00007906889],"domain_scores_gemma":[0.9997653,0.00004426356,0.00003405392,0.00002359404,0.00009710518,0.00003554154],"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":[0.0002271254,0.0001347662,0.0005572733,0.002393835,0.0001098764,0.0007393952,0.0002331944,0.0008577904,0.8194776,0.01409974,0.01283934,0.1483302],"study_design_scores_gemma":[0.00003538349,0.0004161287,0.001161556,0.0001954624,0.0001050436,0.002614093,0.0001220406,0.00173148,0.6012235,0.004659043,0.3876799,0.00005636724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05644139,0.6657027,0.1760126,0.01248487,0.004441968,0.0004253142,0.001138339,0.002566166,0.08078673],"genre_scores_gemma":[0.3764309,0.4439085,0.1222644,0.007861804,0.001930847,0.0005540619,0.00139165,0.0003183786,0.04533951],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002750958,"threshold_uncertainty_score":0.009202898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02865971850919414,"score_gpt":0.3498670233116275,"score_spread":0.3212073048024334,"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."}}