{"id":"W2155919888","doi":"10.1186/gb-2003-4-4-r25","title":"Genome-wide detection of segmental duplications and potential assembly errors in the human genome sequence","year":2003,"lang":"en","type":"article","venue":"Genome biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":259,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Centre de Regulació Genòmica; Genome Canada; Howard Hughes Medical Institute","keywords":"Segmental duplication; Biology; Genome; Human genome; Genetics; Sequence (biology); Whole genome sequencing; Genome evolution; Computational biology; Gene","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":[0.001132317,0.0003104172,0.000466221,0.0009308986,0.0002996315,0.0005536854,0.0003516708,0.0006025284,0.0009365281],"category_scores_gemma":[0.0044022,0.0002379418,0.0003421771,0.0008890337,0.0002430004,0.0003225875,0.0004512721,0.0005140334,0.000371849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466487,"about_ca_system_score_gemma":0.0003743918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123311,"about_ca_topic_score_gemma":0.002416275,"domain_scores_codex":[0.999162,0.0002222211,0.00007196444,0.000264495,0.0002276179,0.00005178676],"domain_scores_gemma":[0.9985604,0.0007505332,0.0002902667,0.0001544551,0.0001911679,0.00005329068],"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":[0.002307115,0.0003053433,0.323794,0.001378803,0.000978015,0.001398426,0.0008950107,0.0331441,0.4638338,0.002480839,0.003593165,0.1658914],"study_design_scores_gemma":[0.0001830438,0.0008530652,0.514744,0.0001192588,0.001037598,0.005142218,0.0004032413,0.1686057,0.295362,0.003664652,0.009807469,0.00007770184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810597,0.0009713148,0.01602682,0.0001582265,0.00001370772,0.00003090505,0.0006796777,0.0004264872,0.0006331485],"genre_scores_gemma":[0.9610797,0.0004260031,0.033713,0.00007958197,0.00002265159,0.00003113667,0.004211749,0.0000559613,0.000380239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001132317,"threshold_uncertainty_score":0.0059883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544546196981989,"score_gpt":0.2594264308709556,"score_spread":0.2439809689011357,"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."}}