{"id":"W2015553373","doi":"10.2144/000112900","title":"Profiling the HeLa S3 Transcriptome using Randomly Primed cDNA and Massively Parallel Short-Read Sequencing","year":2008,"lang":"en","type":"article","venue":"BioTechniques","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":408,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"BC Cancer Foundation; Genome British Columbia","keywords":"Biology; Exon; Massive parallel sequencing; Genetics; Transcriptome; Alternative splicing; DNA sequencing; Gene; Gene expression profiling; Complementary DNA; RNA splicing; Sequence analysis; Expressed sequence tag; Computational biology; RNA-Seq; Gene expression; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003861812,0.0002139227,0.0002076331,0.0000446068,0.0002943479,0.00003114487,0.0002052248,0.0002940954,0.000007029802],"category_scores_gemma":[0.00005322932,0.0001544337,0.0001043669,0.00007203223,0.0001702435,0.000008978986,0.00006126557,0.0001309214,9.44392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002292735,"about_ca_system_score_gemma":0.00009819931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004899038,"about_ca_topic_score_gemma":0.000003365541,"domain_scores_codex":[0.998833,0.0001368661,0.0002395683,0.0003645812,0.0001497576,0.0002762535],"domain_scores_gemma":[0.9994752,0.00001901535,0.00006999296,0.0003163946,0.00005181513,0.00006757827],"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":[0.0001231185,0.00001071041,0.0001602661,0.0000164716,0.00003160991,0.00001071715,0.00008439789,0.000003229823,0.9974051,0.0001392678,0.00007215769,0.001942917],"study_design_scores_gemma":[0.000276042,0.0001339754,0.00007824999,0.00004091306,0.00002457963,0.0001662041,0.00005613205,0.0001002356,0.9948335,0.0002020439,0.003861307,0.0002268385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8770254,0.002636435,0.1185839,0.0003233633,0.00006456935,0.0008521829,0.00001186302,0.0000963765,0.0004058507],"genre_scores_gemma":[0.9475526,0.001332141,0.05032261,0.0002699064,0.000155528,0.00008536905,0.00001454057,0.00003557354,0.0002317905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07052711,"threshold_uncertainty_score":0.6297623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04778989080935319,"score_gpt":0.2714372465547467,"score_spread":0.2236473557453935,"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."}}