{"id":"W4407099395","doi":"10.1007/978-1-0716-4276-4_7","title":"Fusion Transcript Detection from Short-Read RNA-Seq","year":2025,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill Genome Centre; McGill University","funders":"","keywords":"Computational biology; RNA-Seq; Computer science; Biology; Genetics; Transcriptome; Gene; Gene expression","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":[0.001283063,0.001424481,0.001194005,0.001143698,0.0009192962,0.00145385,0.0009940587,0.00178355,0.003259931],"category_scores_gemma":[0.002025461,0.00082246,0.001477696,0.0009773322,0.0006290882,0.001007702,0.000986082,0.002882975,0.004765673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007169542,"about_ca_system_score_gemma":0.0008718914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009461674,"about_ca_topic_score_gemma":0.003131897,"domain_scores_codex":[0.998266,0.0001667434,0.0001120856,0.0007196341,0.0005490209,0.0001863904],"domain_scores_gemma":[0.9988787,0.0004681732,0.0001354552,0.0001633523,0.000259797,0.00009443618],"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":[0.0000792107,0.00001617034,0.00028544,0.0001027972,0.00001983954,0.00005795604,0.00003183118,0.0002722908,0.9948315,0.0003645447,0.0005372173,0.003401307],"study_design_scores_gemma":[0.0000237476,0.0001059928,0.004642912,0.00003126323,0.00005028325,0.000328914,0.00006623092,0.01762731,0.9616761,0.001408248,0.01399361,0.00004542176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1751089,0.001660817,0.77215,0.000614719,0.0007606411,0.0005422988,0.03289314,0.009433051,0.00683633],"genre_scores_gemma":[0.3109418,0.001275417,0.5986378,0.001539869,0.0002564887,0.001271507,0.07177819,0.002902516,0.01139636],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003259931,"threshold_uncertainty_score":0.01090556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860389242876155,"score_gpt":0.3562276111820263,"score_spread":0.3376237187532647,"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."}}