{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003232842,0.0003404303,0.0003123504,0.0007040026,0.0003665543,0.0004863474,0.0003734918,0.0006386702,0.001116979],"category_scores_gemma":[0.0006013148,0.0003300234,0.0002411245,0.0005741349,0.0005610933,0.0005178828,0.0005326312,0.0009412945,0.0005034824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286303,"about_ca_system_score_gemma":0.0002981056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007859576,"about_ca_topic_score_gemma":0.002618556,"domain_scores_codex":[0.9998331,0.0000198884,0.000008072832,0.0000809234,0.00004147496,0.00001643329],"domain_scores_gemma":[0.9995674,0.0001582276,0.0001000999,0.00009351477,0.00004430818,0.00003641113],"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":[0.00001704345,0.000008010441,0.0006241436,0.00003412819,0.000007028365,0.00002761867,0.00003061111,0.0001927393,0.9945754,0.000617134,0.00005717337,0.003808899],"study_design_scores_gemma":[0.00001112093,0.0001367941,0.014249,0.00001879082,0.00004182845,0.0004883737,0.0001643486,0.004366044,0.9680426,0.003031173,0.009432941,0.00001707527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5631904,0.002766628,0.4211064,0.0004182725,0.0001715876,0.00008484122,0.003638712,0.001645198,0.006977884],"genre_scores_gemma":[0.687652,0.003186517,0.3010457,0.000426579,0.00008695063,0.0001367311,0.003430057,0.0003918038,0.003643646],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001116979,"threshold_uncertainty_score":0.003736734,"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."}}