{"id":"W4281626299","doi":"10.3390/dna2020009","title":"Physlr: Next-Generation Physical Maps","year":2022,"lang":"en","type":"article","venue":"DNA","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institutes of Health; University of British Columbia; Genome British Columbia","keywords":"Construct (python library); Genome; Computer science; Sequence assembly; Contiguity; Shotgun sequencing; Computational biology; Biology; Genetics; Programming language; Gene","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":[0.0038215,0.00163283,0.001191403,0.002222375,0.001144436,0.003248243,0.003575089,0.001854121,0.01916192],"category_scores_gemma":[0.007927607,0.001904208,0.001866837,0.002302705,0.0007497839,0.00337594,0.00414815,0.003909479,0.01547631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007781861,"about_ca_system_score_gemma":0.001280075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102579,"about_ca_topic_score_gemma":0.0014084,"domain_scores_codex":[0.9980872,0.0003393828,0.0001232595,0.000576999,0.0007359379,0.0001372766],"domain_scores_gemma":[0.997754,0.0008330712,0.0002562125,0.0007003605,0.0003049751,0.0001513396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002336079,0.000425127,0.007332909,0.003327935,0.00105753,0.002151869,0.001875795,0.0249996,0.1961453,0.05015463,0.343613,0.3665802],"study_design_scores_gemma":[0.0005594123,0.0004173159,0.005415795,0.0003629655,0.0002936554,0.00140741,0.000327886,0.09690522,0.2052726,0.04869779,0.6398229,0.0005169885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007436425,0.000642641,0.7043824,0.0004739693,0.0003719731,0.0002536488,0.02017076,0.2601097,0.00615837],"genre_scores_gemma":[0.06639244,0.0009960944,0.806429,0.0007311631,0.0001588662,0.001490533,0.07657798,0.03764457,0.009579415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01916192,"threshold_uncertainty_score":0.06410295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714697249419798,"score_gpt":0.2372599425370494,"score_spread":0.2101129700428514,"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."}}