{"id":"W1963713243","doi":"10.1089/cmb.2010.0099","title":"Natural Parameter Values for Generalized Gene Adjacency","year":2010,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Genome; Adjacency list; Value (mathematics); Probabilistic logic; Gene; Natural (archaeology); Class (philosophy); Biology; Expected value; Computational biology; Genetics; Computer science; Mathematics; Combinatorics; Artificial intelligence; Statistics","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":[0.0002724699,0.0001038958,0.000169292,0.00007644788,0.00004769682,0.00001335116,0.0001867579,0.0001156952,0.00002543374],"category_scores_gemma":[0.0001795905,0.00008331066,0.0001733592,0.00003998193,0.0000745909,0.000004330892,0.0000353924,0.0001305916,0.000003361811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006754623,"about_ca_system_score_gemma":0.00009495326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.695716e-7,"about_ca_topic_score_gemma":0.000001654565,"domain_scores_codex":[0.999254,0.00004806604,0.0003144932,0.0001381014,0.00008781256,0.0001574639],"domain_scores_gemma":[0.9991108,0.00007412865,0.0002432467,0.0000892901,0.0004243072,0.0000582766],"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":[0.0001494679,0.0000518722,0.001244515,0.000006222569,0.0001596809,0.000001531505,0.00001807885,0.0008868001,0.9897747,0.00055342,0.001966248,0.005187452],"study_design_scores_gemma":[0.01386255,0.005505482,0.04887604,0.00002087344,0.0003268826,0.001683536,0.00005926624,0.009848191,0.5025183,0.2009375,0.2151007,0.001260673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611897,0.0007335985,0.03618487,0.0004445099,0.001264094,0.0001219893,0.00002093311,0.00000327125,0.00003701286],"genre_scores_gemma":[0.8231416,0.00003671282,0.175267,0.000285802,0.0009779283,0.000005457632,0.0001573992,0.00001119387,0.000116907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4872564,"threshold_uncertainty_score":0.339731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107817841428652,"score_gpt":0.287968404710122,"score_spread":0.2771866205672568,"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."}}