{"id":"W2997072556","doi":"10.1016/j.bioelechem.2019.107447","title":"Electrochemical detection of specific interactions between apolipoprotein E isoforms and DNA sequences related to Alzheimer’s disease","year":2019,"lang":"en","type":"article","venue":"Bioelectrochemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Gene isoform; DNA; Alzheimer's disease; Disease; Computational biology; Apolipoprotein E; Chemistry; Biochemistry; Neuroscience; Biology; Gene; Medicine; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008040098,0.0002969941,0.0003813442,0.00008090747,0.0001067634,0.00003873828,0.0003100164,0.0001828719,0.0004582322],"category_scores_gemma":[0.0000390173,0.0002849461,0.0001817753,0.0005201818,0.0001018523,0.00009707133,0.00008614003,0.0004330778,0.0001010699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158707,"about_ca_system_score_gemma":0.00006839222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001588163,"about_ca_topic_score_gemma":0.00000277501,"domain_scores_codex":[0.9980389,0.00000950888,0.0005296,0.0006539083,0.0002850034,0.0004830455],"domain_scores_gemma":[0.9987234,0.00008907155,0.0002133307,0.0005163271,0.00009388869,0.0003639091],"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":[0.00006509701,0.0000672053,0.001875839,0.00007283403,0.0001379247,4.511148e-7,0.00002707201,4.249561e-7,0.9955633,0.00013737,0.00003832664,0.002014196],"study_design_scores_gemma":[0.0002260662,0.00004483729,0.0003225859,0.00005842311,0.0001377875,0.000010906,0.00004640413,0.00007119236,0.9943462,0.001386405,0.003022378,0.0003268001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996051,0.0006669129,0.0003822099,0.000310913,0.00001173533,0.0001684079,0.00002630305,0.0001120811,0.002270399],"genre_scores_gemma":[0.9984685,0.00008269467,0.0002575952,0.00003232108,0.0001331468,0.0000934752,0.0001935538,0.00003273118,0.0007059465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002984051,"threshold_uncertainty_score":0.9999602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00995637339207431,"score_gpt":0.247257258962071,"score_spread":0.2373008855699967,"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."}}