{"id":"W2126333123","doi":"10.1093/bioinformatics/bts214","title":"Dissect: detection and characterization of novel structural alterations in transcribed sequences","year":2012,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Simon Fraser University; University of British Columbia","funders":"SFU Community Trust Endowment Fund; Natural Sciences and Engineering Research Council of Canada; Canada's Michael Smith Genome Sciences Centre","keywords":"Transcriptome; Biology; Computational biology; Contig; Genome; Genetics; Reference genome; RNA-Seq; Gene; 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":[0.001167336,0.0009332894,0.0005402057,0.00120027,0.0005170825,0.0009377819,0.0008253881,0.0006388166,0.001690639],"category_scores_gemma":[0.004014203,0.0003699621,0.0007315128,0.001286063,0.0007479132,0.0008210376,0.0007137409,0.0007947398,0.0009227743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005882232,"about_ca_system_score_gemma":0.0008284177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125176,"about_ca_topic_score_gemma":0.001883391,"domain_scores_codex":[0.9993615,0.0001019754,0.00003916299,0.0003052125,0.0001603142,0.00003175998],"domain_scores_gemma":[0.9980421,0.001171014,0.0003482568,0.0001645323,0.0001946648,0.00007944641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001544991,0.0002599501,0.03458393,0.001954997,0.0002277284,0.001214984,0.0005542866,0.1682701,0.5593892,0.01955747,0.01221145,0.2002309],"study_design_scores_gemma":[0.0001214647,0.000311407,0.01543173,0.00008838271,0.0001214538,0.001441617,0.0003233525,0.6917692,0.2411579,0.03083893,0.01831114,0.0000835154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.157528,0.0009074566,0.8221133,0.0005332328,0.00007025323,0.00019661,0.009136442,0.007328291,0.0021864],"genre_scores_gemma":[0.2989386,0.0006286847,0.6794738,0.0002444478,0.00006060632,0.0002299808,0.0181975,0.0008124131,0.00141383],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001690639,"threshold_uncertainty_score":0.006173551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443297238278886,"score_gpt":0.2343801128742262,"score_spread":0.2199471404914374,"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."}}