{"id":"W1555413501","doi":"10.1007/11758525_105","title":"Genomes Containing Duplicates Are Hard to Compare","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Permutation (music); Computer science; Genome; Similarity (geometry); Theoretical computer science; Time complexity; Matching (statistics); Computational complexity theory; Combinatorics; Algorithm; Gene; Mathematics; Artificial intelligence; Biology; Genetics; Image (mathematics); Physics","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":[0.002052865,0.0007997067,0.002450695,0.003986969,0.00198291,0.00470518,0.001876239,0.002338234,0.009019137],"category_scores_gemma":[0.01942569,0.001049617,0.001126973,0.005706743,0.001523738,0.01085308,0.003540809,0.001910909,0.004453651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006535243,"about_ca_system_score_gemma":0.0007061909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004421997,"about_ca_topic_score_gemma":0.000626381,"domain_scores_codex":[0.9976003,0.0005425272,0.0002093241,0.0007798186,0.0006926428,0.0001754483],"domain_scores_gemma":[0.9874178,0.008646905,0.0008720527,0.001768766,0.0009455224,0.0003488167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002251071,0.000335273,0.01981456,0.003261345,0.00116231,0.001435158,0.001428822,0.03876473,0.04990243,0.1290697,0.057492,0.6950826],"study_design_scores_gemma":[0.0001848017,0.0002940866,0.007585526,0.0003367498,0.0005392614,0.003570793,0.001847392,0.0368729,0.03524469,0.8306692,0.08268181,0.0001726824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5298603,0.02018764,0.3870672,0.005169132,0.001755933,0.0003113983,0.01176069,0.008243919,0.0356438],"genre_scores_gemma":[0.6623549,0.005596913,0.291888,0.001838218,0.0006188168,0.0002412822,0.02312175,0.003544546,0.01079554],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009019137,"threshold_uncertainty_score":0.03017199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646827454829534,"score_gpt":0.2403135772188066,"score_spread":0.2238453026705113,"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."}}