{"id":"W3179344276","doi":"10.1101/2021.07.13.451380","title":"Benchmarking ultra-high molecular weight DNA preservation methods for long-read and long-range sequencing","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Fish and Wildlife Service; Wellcome Trust","keywords":"Genome; Vertebrate; Biology; Genomics; Organism; DNA sequencing; Computational biology; Evolutionary biology; Chromosome; DNA; 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":[0.009838585,0.000958206,0.0006560023,0.001275409,0.0008198625,0.001977899,0.00183368,0.001325292,0.002288855],"category_scores_gemma":[0.01479233,0.0004541564,0.0009084296,0.001470198,0.0008178685,0.001437927,0.001622822,0.001000471,0.002300232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009506064,"about_ca_system_score_gemma":0.001213348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191195,"about_ca_topic_score_gemma":0.004506472,"domain_scores_codex":[0.9933368,0.001828372,0.0006816277,0.001323651,0.002515848,0.0003137542],"domain_scores_gemma":[0.9916468,0.002781085,0.0005860429,0.001669591,0.003017141,0.0002994111],"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":[0.001322067,0.0003652709,0.01412872,0.001912497,0.0004642958,0.0002159462,0.000742665,0.02620726,0.8003305,0.004172961,0.009176541,0.1409613],"study_design_scores_gemma":[0.00005064514,0.0005582419,0.01314024,0.0002535572,0.0001980841,0.0002924522,0.0003017029,0.0382512,0.9057174,0.002395949,0.03872456,0.0001158806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4238734,0.01117324,0.5281882,0.001452829,0.001028642,0.0007497289,0.01288069,0.01160853,0.009044806],"genre_scores_gemma":[0.3045026,0.003251536,0.637793,0.0004531266,0.0001031396,0.0007810978,0.04424066,0.004040302,0.004834493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009838585,"threshold_uncertainty_score":0.05203199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540884959870776,"score_gpt":0.2786591030724215,"score_spread":0.2632502534737138,"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."}}