{"id":"W1991119060","doi":"10.1089/cmb.2004.11.933","title":"The Role of Unequal Crossover in Alpha-Satellite DNA Evolution: A Computational Analysis","year":2004,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Crossover; Satellite; Alpha (finance); Computational biology; Computer science; Biology; Evolutionary biology; Mathematics; Aerospace engineering; Artificial intelligence; Engineering; 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":[0.0003045534,0.00007646674,0.0002058323,0.00005574887,0.0001258304,0.00002289383,0.0001907666,0.00006192658,0.00005596149],"category_scores_gemma":[0.0000611123,0.0000292389,0.0001863162,0.0007001968,0.0001222596,0.00006108565,0.00003065421,0.00009862601,0.00000535149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005635099,"about_ca_system_score_gemma":0.00008238447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007416638,"about_ca_topic_score_gemma":0.0003534751,"domain_scores_codex":[0.9989131,0.00009675864,0.0005534338,0.0001016092,0.0002010979,0.0001340083],"domain_scores_gemma":[0.9985318,0.0006487757,0.000380099,0.00002343986,0.0003695577,0.00004630795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001645711,0.0002701883,0.09689698,0.000001668107,0.0003491712,0.000004128351,0.0002241539,0.7571435,0.01256235,0.1134218,0.000007310563,0.01895422],"study_design_scores_gemma":[0.000348351,0.0002123094,0.6231824,0.000005497179,0.00003477785,0.00001768892,0.0001017145,0.002162362,0.0001389466,0.372292,0.00145045,0.00005351071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952686,0.001334968,0.001159519,0.001922506,0.00008918,0.00005116987,0.00004024998,0.000003474149,0.0001302729],"genre_scores_gemma":[0.9983872,0.00002362313,0.00133937,0.00005879849,0.0001333459,0.000001320146,0.00005013028,4.325159e-7,0.000005809749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7549812,"threshold_uncertainty_score":0.1192328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008642758030217107,"score_gpt":0.2377552413423532,"score_spread":0.229112483312136,"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."}}