{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003292082,0.0003247874,0.0003731115,0.0005120802,0.000400084,0.0004178757,0.0002655729,0.0002864936,0.0006855708],"category_scores_gemma":[0.0003890683,0.0001542524,0.0003603186,0.0005363342,0.0003054558,0.0002327849,0.0001932978,0.0005972064,0.0006855328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374942,"about_ca_system_score_gemma":0.0004355597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009340949,"about_ca_topic_score_gemma":0.002452685,"domain_scores_codex":[0.9997473,0.0000387414,0.00001826226,0.00007816065,0.00009373152,0.0000237955],"domain_scores_gemma":[0.9998266,0.00005705457,0.00003632802,0.00002635879,0.00003726524,0.00001631829],"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":[0.00003029512,0.000005647335,0.0001624159,0.00002217722,0.000002960729,0.0000158638,0.00001312944,0.0001111239,0.9981126,0.00006851027,0.00005280817,0.001402464],"study_design_scores_gemma":[0.00001521564,0.0001352205,0.009080238,0.000009349575,0.00002969176,0.0002307606,0.00006374985,0.006665999,0.9780633,0.0006355465,0.005053974,0.00001690511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7421158,0.00256822,0.2337987,0.0005569021,0.0001664249,0.0004058224,0.01370519,0.002101695,0.004581396],"genre_scores_gemma":[0.6268874,0.003008631,0.3497535,0.000560635,0.00007799394,0.0006603078,0.01406863,0.0004106049,0.004572273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009340949,"threshold_uncertainty_score":0.002720416,"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."}}