{"id":"W2135158743","doi":"10.1093/nar/gnh164","title":"In situ imaging and isolation of proteins using dsDNA oligonucleotides","year":2004,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Biology; Oligonucleotide; In situ; Computational biology; Isolation (microbiology); DNA; In situ hybridization; Molecular biology; Genetics; Bioinformatics; Gene; Messenger RNA","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":[0.0003911606,0.0006357487,0.0003885668,0.0003311577,0.0003120557,0.0005318784,0.0005276144,0.0005960597,0.001113071],"category_scores_gemma":[0.0003726398,0.0003607974,0.0002518434,0.0002665315,0.0004544155,0.0005065345,0.0003852487,0.0007315574,0.000817232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006369784,"about_ca_system_score_gemma":0.0003175929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005602925,"about_ca_topic_score_gemma":0.001254841,"domain_scores_codex":[0.9997268,0.00004406248,0.00002458765,0.00009905647,0.00007019514,0.00003523751],"domain_scores_gemma":[0.9997634,0.0000665671,0.00005746487,0.00002930177,0.00003795983,0.00004522857],"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":[0.000006714089,0.000003343339,0.00001774315,0.00002705744,0.000001236098,0.0000133387,0.0000102279,0.00002721193,0.9992175,0.00008805356,0.00001481531,0.0005728577],"study_design_scores_gemma":[0.000003499988,0.00003053205,0.0001583,0.000002294324,0.000003346879,0.00006682787,0.0000123928,0.0005013991,0.9972751,0.00009539169,0.001848634,0.000002409913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6287773,0.004654993,0.3575181,0.001014075,0.0003079601,0.0002715588,0.0007949219,0.001334768,0.005326245],"genre_scores_gemma":[0.625895,0.007083626,0.3521853,0.0006346419,0.0001116717,0.0004432001,0.0010057,0.0002291547,0.01241175],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001113071,"threshold_uncertainty_score":0.004621625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650524434066742,"score_gpt":0.3526758243566227,"score_spread":0.3261705800159553,"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."}}