{"id":"W3114643239","doi":"10.1126/science.aay3446","title":"In situ genome sequencing resolves DNA sequence and structure in intact biological samples","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; National Cancer Institute; National Institutes of Health; National Human Genome Research Institute; Paul G. Allen Family Foundation","keywords":"Genome; Chromatin; Biology; Computational biology; Chromosome conformation capture; In situ; Genetics; Human genome; Chromosome; DNA sequencing; Sequence (biology); DNA; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661972,0.00008290249,0.00009231962,0.00005089054,0.00005674925,0.000045452,0.0002041059,0.00007308911,0.000007445199],"category_scores_gemma":[0.0001696444,0.00007370325,0.00001306843,0.0002704857,0.0002759822,0.000008523821,0.0002398772,0.00008186104,6.193042e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005030231,"about_ca_system_score_gemma":0.0002842958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001886302,"about_ca_topic_score_gemma":0.0003892744,"domain_scores_codex":[0.9991175,0.00003465963,0.000131756,0.0004036262,0.00007891523,0.0002335435],"domain_scores_gemma":[0.9996814,0.00001188485,0.00003146151,0.000191113,0.00003399886,0.00005018586],"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":[0.000003638585,0.000004826483,0.005318409,0.000004182683,8.65751e-7,0.00001980954,0.0001224538,0.0003251927,0.9938101,0.0001682117,0.000001044007,0.0002212311],"study_design_scores_gemma":[0.0002668051,0.0001019262,0.1547022,0.00001946936,0.000001399339,0.0001239827,0.0005612469,0.000876858,0.8386101,0.003816094,0.0006715192,0.0002484046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989216,0.0005593321,0.000184096,0.00009892658,0.00005031356,0.00005576085,0.00001413564,0.000002533886,0.0001132605],"genre_scores_gemma":[0.9927853,0.0002867139,0.00664915,0.0002112461,0.00002539281,0.000002078846,0.00001681134,0.000003700133,0.00001960437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1552,"threshold_uncertainty_score":0.3005531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233011170729407,"score_gpt":0.2621254226062404,"score_spread":0.2397953108989463,"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."}}