{"id":"W1595246529","doi":"10.1002/9783527644582.ch13","title":"Tag‐Seq: Next‐Generation Tag Sequencing for Gene Expression Profiling","year":2011,"lang":"en","type":"other","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Genome British Columbia; Michael Smith Health Research BC","keywords":"DNA sequencing; Illumina dye sequencing; Computational biology; Gene expression profiling; Profiling (computer programming); Biology; Gene; Deep sequencing; Reference genome; Transcriptome; Genome; Genetics; Computer science; Gene expression","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":[0.0009725402,0.001315618,0.0009142873,0.001311855,0.0006755679,0.001500173,0.001296126,0.0006500339,0.02272513],"category_scores_gemma":[0.0004291066,0.0005514296,0.0006156625,0.001197898,0.0003388003,0.0008322686,0.0008171082,0.001497343,0.02898596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00064078,"about_ca_system_score_gemma":0.0007892058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009104047,"about_ca_topic_score_gemma":0.002293332,"domain_scores_codex":[0.999429,0.00006774952,0.00003240483,0.0001266074,0.0002845634,0.00005969729],"domain_scores_gemma":[0.9998434,0.00003224461,0.00001562433,0.00003513735,0.00004996382,0.00002362641],"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":[0.0002229293,0.0001164515,0.0005559045,0.0008078496,0.0000563056,0.0001904271,0.0001111798,0.001199375,0.7653978,0.005612461,0.04488815,0.1808413],"study_design_scores_gemma":[0.00002764591,0.00007706389,0.001425174,0.00005844067,0.00004094105,0.0005249148,0.00003764102,0.004995322,0.4090663,0.001989569,0.5816978,0.00005915702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02641246,0.008212708,0.791968,0.000862361,0.0009984609,0.001086691,0.04014186,0.03707401,0.09324349],"genre_scores_gemma":[0.03932345,0.01013299,0.6542488,0.0009588064,0.0002557045,0.001577217,0.08601194,0.008203726,0.1992873],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02272513,"threshold_uncertainty_score":0.07602316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06349246570218921,"score_gpt":0.259995784474204,"score_spread":0.1965033187720148,"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."}}