{"id":"W2140154634","doi":"10.1093/bioinformatics/btr046","title":"SHRiMP2: Sensitive yet Practical Short Read Mapping","year":2011,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":365,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Executable; Computer science; Shrimp; Space (punctuation); Sensitivity (control systems); Source code; Code (set theory); Data mining; Programming language; Biology; Operating system; Engineering; Set (abstract data type)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003281861,0.002035207,0.001003576,0.0008575113,0.0009245406,0.001868995,0.002867581,0.000774864,0.02306305],"category_scores_gemma":[0.006511597,0.001474684,0.001340981,0.001019792,0.0004734839,0.001572559,0.003574281,0.003048306,0.01651144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004534078,"about_ca_system_score_gemma":0.001232424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389093,"about_ca_topic_score_gemma":0.001953835,"domain_scores_codex":[0.9981798,0.0002855566,0.0001541432,0.00053369,0.0007267412,0.0001202535],"domain_scores_gemma":[0.9975883,0.0007535549,0.0001450046,0.0006741054,0.0006241862,0.0002148341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002725861,0.0002013592,0.006769337,0.001923806,0.0004461163,0.0007369116,0.0006977162,0.01033531,0.2854612,0.007964789,0.3340289,0.3487087],"study_design_scores_gemma":[0.0006062617,0.000471779,0.006096875,0.0002517429,0.0001392808,0.001237927,0.0001614866,0.09837721,0.3542326,0.01344786,0.5245686,0.0004084595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02522522,0.0006005464,0.7541982,0.0007038187,0.001052698,0.0006012954,0.03554086,0.1722401,0.009837268],"genre_scores_gemma":[0.0849712,0.0005171804,0.7402457,0.001087837,0.0002682364,0.001682209,0.1020674,0.04038066,0.02877953],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02306305,"threshold_uncertainty_score":0.07715362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0499284744864106,"score_gpt":0.2654698643525903,"score_spread":0.2155413898661797,"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."}}