{"id":"W2952014119","doi":"10.1038/s41467-018-08126-5","title":"C1 CAGE detects transcription start sites and enhancer activity at single-cell resolution","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"RIKEN; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Enhancer; Cage; Transcription (linguistics); Transcription factor; Enhancer RNAs; Computational biology; Biology; Cell biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003444558,0.0002887306,0.0003263384,0.0004265093,0.0002451588,0.000493028,0.0003656139,0.0006232671,0.00177043],"category_scores_gemma":[0.000432643,0.0002421363,0.0001803412,0.0002351641,0.0003658105,0.000262808,0.000280176,0.000571734,0.0005549454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003423719,"about_ca_system_score_gemma":0.0002429374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004942251,"about_ca_topic_score_gemma":0.0009256649,"domain_scores_codex":[0.9996867,0.0000296896,0.00001136992,0.0001431548,0.00007231977,0.00005683106],"domain_scores_gemma":[0.9993923,0.0002920748,0.0001033692,0.00006923009,0.00007445751,0.00006858366],"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":[0.0000168751,0.000005841443,0.0001817646,0.000009849884,0.000001204406,0.000006991438,0.000006974723,0.00007924321,0.9988092,0.0000743116,0.00006067328,0.0007470122],"study_design_scores_gemma":[0.000002592523,0.00004738874,0.002954091,0.000002864188,0.000003322912,0.00005433815,0.00001512216,0.003948128,0.9920285,0.00006940508,0.0008652819,0.000008879201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8738054,0.0009036651,0.1177412,0.0002136922,0.00006425474,0.00006917664,0.002165099,0.001642582,0.003394908],"genre_scores_gemma":[0.9067172,0.0005256133,0.08758122,0.0002152487,0.00004282701,0.0002484096,0.001387184,0.0002470464,0.003035256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00177043,"threshold_uncertainty_score":0.005922675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973670682254959,"score_gpt":0.2563731074557946,"score_spread":0.236636400633245,"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."}}