{"id":"W4391692232","doi":"10.1101/2024.02.07.579356","title":"Multi-genome synteny detection using minimizer graph mappings","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"Canadian Institutes of Health Research","keywords":"Synteny; Genome; Comparative genomics; Genomics; Computational biology; Scalability; Biology; Tree (set theory); Computer science; Genetics; Gene; Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005762127,0.000813317,0.0006136254,0.002333024,0.0005249177,0.001130518,0.0009873958,0.0005903527,0.004020507],"category_scores_gemma":[0.0031481,0.0003812766,0.0008261832,0.001697472,0.0004238809,0.00131576,0.00153503,0.0005559374,0.0008405413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005649445,"about_ca_system_score_gemma":0.0005650516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090806,"about_ca_topic_score_gemma":0.003660318,"domain_scores_codex":[0.9994814,0.0001215625,0.00003049199,0.000177008,0.0001530283,0.00003657751],"domain_scores_gemma":[0.9989801,0.000456272,0.0001438911,0.0002284386,0.0001449816,0.00004631912],"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":[0.000886024,0.0002345494,0.02716933,0.001443663,0.0005435263,0.001155094,0.001030404,0.226859,0.3267118,0.04521897,0.015061,0.3536866],"study_design_scores_gemma":[0.0000352391,0.0001063753,0.005473937,0.00003459781,0.0000511787,0.0003324269,0.0002376498,0.8853115,0.0662862,0.03199711,0.01009843,0.0000352514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.142712,0.0002018154,0.8418618,0.0001259986,0.00003427733,0.00009459836,0.002384774,0.01003942,0.002545391],"genre_scores_gemma":[0.4254271,0.0001661509,0.5645889,0.00006219515,0.00001754464,0.0001325976,0.00670949,0.001364544,0.001531461],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004020507,"threshold_uncertainty_score":0.01344997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732517511936275,"score_gpt":0.2216643922484597,"score_spread":0.204339217129097,"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."}}