{"id":"W4386468657","doi":"10.2139/ssrn.4564108","title":"Improved Block Rearrangement Algorithm","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Algorithm; Block (permutation group theory); Computer science; Mathematics; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001262532,0.0001888585,0.0001412144,0.0001271902,0.0001781484,0.0000462895,0.0003247882,0.0001126242,0.00002156061],"category_scores_gemma":[0.00003406015,0.0001774821,0.0001534389,0.0002603842,0.00003575029,0.000005253089,0.0001258203,0.0006071512,0.0001467225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831347,"about_ca_system_score_gemma":0.0006555916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001556737,"about_ca_topic_score_gemma":0.00008841905,"domain_scores_codex":[0.996984,0.00005969573,0.0002406314,0.0003107732,0.000234592,0.002170313],"domain_scores_gemma":[0.9994019,0.000005298881,0.0001014745,0.0002874971,0.00009440714,0.0001093986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007556826,0.0001223366,0.0005916177,0.00001314332,0.0009294837,0.00001860499,0.0001007077,0.00009332989,0.7157826,0.0008977189,0.005549999,0.2758249],"study_design_scores_gemma":[0.01501753,0.0099989,0.00553688,0.00007788603,0.0005040498,0.003636915,0.009862118,0.008929454,0.1087851,0.06894454,0.7648958,0.003810818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557122,0.007419402,0.02992004,0.002202141,0.001287499,0.0007663305,0.00002673738,0.0001899012,0.002475726],"genre_scores_gemma":[0.9248285,0.02792656,0.002250271,0.0002840449,0.0029403,0.00006742532,0.000217261,0.0001570613,0.04132858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7593458,"threshold_uncertainty_score":0.7237511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006399613239146773,"score_gpt":0.2335443410322673,"score_spread":0.2271447277931205,"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."}}