{"id":"W2803977137","doi":"10.1101/330845","title":"C1 CAGE detects transcription start sites and enhancer activity at single-cell resolution","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"RIKEN; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Enhancer; Enhancer RNAs; Polyadenylation; Transcriptome; Biology; Computational biology; Transcription (linguistics); Single-cell analysis; RNA; Cell; Transcription factor; Cell biology; Molecular biology; Gene expression; Gene; Genetics","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":[0.0003869293,0.0003535292,0.0004066039,0.0004660389,0.0002981892,0.0005478606,0.0004401231,0.0006920506,0.001778182],"category_scores_gemma":[0.0004297759,0.0003045189,0.0002020699,0.0002833199,0.0004400698,0.0003018461,0.0003374525,0.0006158888,0.0006553786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004446467,"about_ca_system_score_gemma":0.0002901465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006338846,"about_ca_topic_score_gemma":0.001046496,"domain_scores_codex":[0.999595,0.0000304747,0.00001431544,0.0001933204,0.000100619,0.00006631638],"domain_scores_gemma":[0.9994704,0.0002249158,0.00009763417,0.00007218039,0.00007273124,0.00006225947],"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":[0.0000176814,0.000005412545,0.0002097454,0.00001143421,0.000001544826,0.000009064678,0.000008859932,0.0001015677,0.998657,0.00009551831,0.00007525988,0.0008068756],"study_design_scores_gemma":[0.000002639385,0.00002770145,0.003009203,0.000002911609,0.00000338329,0.00004692086,0.00001117331,0.003618778,0.9921863,0.0000681159,0.001013848,0.000008950718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8642691,0.0009445637,0.1261458,0.0002128593,0.00006782431,0.0000729604,0.002597874,0.001874119,0.003814926],"genre_scores_gemma":[0.8838191,0.0005334926,0.108755,0.0002039172,0.00003853592,0.0002920133,0.001937102,0.0003787466,0.004042129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001778182,"threshold_uncertainty_score":0.005948603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184957048534958,"score_gpt":0.2088388338903406,"score_spread":0.1903431290368448,"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."}}