{"id":"W7117674191","doi":"10.6084/m9.figshare.30969884.v1","title":"Additional file 1 of ntSynt: multi-genome synteny detection using minimizer graph mappings","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Graph; Table (database); Graph theory; Synteny","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002051989,0.0003492865,0.0004169841,0.0002432775,0.0002185024,0.0001244291,0.0006626736,0.0003807579,0.6145453],"category_scores_gemma":[0.0003564384,0.0004054976,0.000266427,0.0004654111,0.000238283,0.00001932907,0.0007693608,0.000168817,0.0002235782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007375053,"about_ca_system_score_gemma":0.0004242496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000531286,"about_ca_topic_score_gemma":0.00007064039,"domain_scores_codex":[0.9977936,0.0001204466,0.0006249583,0.0008259806,0.0002042163,0.0004307949],"domain_scores_gemma":[0.9985136,0.0001132836,0.0003973863,0.0005466554,0.0003199953,0.0001090289],"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":[0.0002549994,0.0006012173,0.00002235767,0.000118376,0.00109167,0.00001070139,0.0001367245,0.0001237001,0.8189632,5.916294e-7,0.06129612,0.1173803],"study_design_scores_gemma":[0.001102027,0.000158013,0.0007490907,0.0003944258,0.0001653194,0.00001488328,0.0004328995,0.00138544,0.08031063,0.00001268791,0.9148524,0.0004222272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.06589926,0.001420663,0.007359345,0.0001190347,0.0007409138,0.002550669,0.8981659,0.000002892989,0.02374129],"genre_scores_gemma":[0.3191289,0.0003595124,0.3478111,0.000261879,0.0007287842,0.0009593642,0.204404,0.000182662,0.1261638],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8535562,"threshold_uncertainty_score":0.9998397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840273903997952,"score_gpt":0.2784894535852914,"score_spread":0.2500867145453119,"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."}}