{"id":"W4248593911","doi":"10.1038/npre.2011.5524","title":"Targeted Assembly of Short Sequence Reads","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"BC Cancer Agency","keywords":"Sequence (biology); Bottleneck; Computer science; Computational biology; Sequence assembly; Set (abstract data type); Alignment-free sequence analysis; Data mining; Consensus sequence; Sequence alignment; Genetics; Biology; Base sequence; DNA; Gene; Peptide sequence; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002334367,0.0003372887,0.0003889815,0.00006482523,0.00004295539,0.00001545042,0.0005833685,0.001445408,0.00001154781],"category_scores_gemma":[0.0001552412,0.0003239708,0.0002188025,0.00006553852,0.0001122441,5.694681e-7,0.001116565,0.0007569583,0.000001948012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001815225,"about_ca_system_score_gemma":0.000133119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004616635,"about_ca_topic_score_gemma":0.00002069376,"domain_scores_codex":[0.998508,0.00003270584,0.000327865,0.0006748024,0.0001791186,0.0002774666],"domain_scores_gemma":[0.9987666,0.00001213945,0.000200935,0.0006033692,0.0003392384,0.00007770407],"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":[0.00005988117,0.00003215252,0.002481295,0.0001150022,0.0002573955,0.000001429647,0.0001436794,0.0000205108,0.9925534,0.000223371,0.002692129,0.0014198],"study_design_scores_gemma":[0.0001325352,0.0001694012,0.008363252,0.00008195835,0.00009912512,0.000008032317,0.00002188399,0.00001595242,0.9753985,0.001376312,0.01390365,0.0004294374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766303,0.010059,0.00009871031,0.00006443247,0.001095722,0.0003320579,0.0001661697,0.00000995555,0.01154361],"genre_scores_gemma":[0.9916779,0.001880896,0.005339053,0.0001278923,0.0003845118,0.00004204942,0.0002029814,0.00004374329,0.0003009266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01715489,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237628312639913,"score_gpt":0.2804353495044523,"score_spread":0.2580590663780532,"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."}}