{"id":"W4393534086","doi":"10.5281/zenodo.7884681","title":"Assemblies for \"Linear time complexity de novo long read genome assembly with GoldRush\"","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Sequence assembly; Computational biology; Genome; Biology; Computer science; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003355357,0.004806259,0.002008032,0.002792676,0.002308681,0.002718043,0.004520007,0.002259466,0.02632713],"category_scores_gemma":[0.007932777,0.001713891,0.003224738,0.003607557,0.0006857543,0.002003564,0.002785949,0.002451836,0.0301004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144157,"about_ca_system_score_gemma":0.002507151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033897,"about_ca_topic_score_gemma":0.02512595,"domain_scores_codex":[0.9976793,0.0004549494,0.0002082386,0.001040943,0.0004031086,0.000213548],"domain_scores_gemma":[0.9978145,0.0006118524,0.0001556349,0.0008994077,0.0003852865,0.0001332958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001205865,0.0001802931,0.003860701,0.002545222,0.001009318,0.000320852,0.0002353431,0.01099419,0.008364845,0.003661471,0.9407859,0.02683602],"study_design_scores_gemma":[0.002953193,0.0003279218,0.01285434,0.0004585881,0.0006610329,0.0006607728,0.0002749599,0.06163499,0.02624178,0.0182869,0.8754086,0.0002368079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01038813,0.0005477215,0.01591905,0.0002273314,0.0002624633,0.0002008913,0.9272476,0.04175331,0.003453546],"genre_scores_gemma":[0.003012296,0.00005785787,0.01344259,0.00005624349,0.000009381605,0.0002128737,0.9809667,0.001626748,0.0006152766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02632713,"threshold_uncertainty_score":0.08807302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05438444105774091,"score_gpt":0.2810954903734352,"score_spread":0.2267110493156943,"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."}}