{"id":"W4210808382","doi":"10.1093/bioinformatics/btac081","title":"SmMIP-tools: a computational toolset for processing and analysis of single-molecule molecular inversion probes-derived data","year":2022,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Canada First Research Excellence Fund","keywords":"Computer science; Source code; Modular design; Raw data; DNA sequencing; Set (abstract data type); Data mining; Scripting language; Computational biology; Biology; Genetics; Programming language; DNA","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":[0.004553149,0.00356814,0.002077312,0.002063439,0.00124754,0.002992732,0.004557286,0.001822006,0.02693707],"category_scores_gemma":[0.01653086,0.001441147,0.002456388,0.001985722,0.001267008,0.002069328,0.00376523,0.004834122,0.01413557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008154418,"about_ca_system_score_gemma":0.004043716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003606426,"about_ca_topic_score_gemma":0.005051692,"domain_scores_codex":[0.9983191,0.0004861593,0.0001845466,0.0003734216,0.0004805967,0.0001561046],"domain_scores_gemma":[0.9951771,0.003429311,0.0003134274,0.0003818667,0.0004312237,0.0002669619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002763001,0.0004186867,0.008949559,0.00782629,0.002325327,0.002172835,0.00134939,0.09414323,0.02735601,0.0370656,0.6161132,0.1995169],"study_design_scores_gemma":[0.001383705,0.0002411306,0.00288803,0.0007585447,0.0003627668,0.0009347055,0.0002634004,0.5958484,0.04154092,0.09026835,0.2650727,0.0004373438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01072623,0.001690385,0.6482559,0.001111655,0.0006746752,0.0006705251,0.04812139,0.2829505,0.005798809],"genre_scores_gemma":[0.06789661,0.001728261,0.7782872,0.00148304,0.0002330793,0.004453881,0.08653541,0.05499219,0.004390307],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02693707,"threshold_uncertainty_score":0.09011346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07001876067722557,"score_gpt":0.3211005807529847,"score_spread":0.2510818200757591,"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."}}