{"id":"W2051551591","doi":"10.1089/cmb.2006.13.1340","title":"On the Similarity of Sets of Permutations and Its Applications to Genome Comparison","year":2006,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Genome; Chaining; Similarity (geometry); Generalization; Key (lock); Feature (linguistics); Computer science; Combinatorics; Mathematics; Computational biology; Theoretical computer science; Biology; Gene; Genetics; Artificial intelligence","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":[0.003152899,0.0005350556,0.001279316,0.006269249,0.001620211,0.002904947,0.001861751,0.001616184,0.003810564],"category_scores_gemma":[0.03495293,0.0004852444,0.001077591,0.009557774,0.004203988,0.00798796,0.004378229,0.002193735,0.0005436593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244163,"about_ca_system_score_gemma":0.0006501448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345099,"about_ca_topic_score_gemma":0.0007527321,"domain_scores_codex":[0.9956757,0.001870584,0.0003483229,0.0009259707,0.001025692,0.0001536656],"domain_scores_gemma":[0.9809017,0.01472831,0.001215195,0.001793508,0.0009824448,0.0003789449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001548637,0.00006991206,0.002922855,0.0001971792,0.00006380997,0.0001714947,0.0007156728,0.04193996,0.002862389,0.776279,0.00149049,0.1731324],"study_design_scores_gemma":[0.00001774438,0.00007028441,0.0009507164,0.00005493743,0.00002150093,0.0003289049,0.0001619641,0.09038201,0.001373487,0.9012882,0.005318718,0.00003166505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05538298,0.001660963,0.9316987,0.0007789861,0.0001079724,0.00009956848,0.0002462671,0.0003939028,0.00963071],"genre_scores_gemma":[0.4659614,0.001726692,0.528211,0.000358215,0.0003707143,0.000264888,0.0007232629,0.0002422033,0.002141637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006269249,"threshold_uncertainty_score":0.01667428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775467834541102,"score_gpt":0.3016380343992673,"score_spread":0.2838833560538563,"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."}}