{"id":"W4393516911","doi":"10.5281/zenodo.7526394","title":"Baseline assemblies for \"ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads\" protocol","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Protocol (science); Baseline (sea); Computer science; Scaffold; Sequence assembly; Computational biology; Programming language; Biology; Medicine; Genetics","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":[0.004166903,0.003863804,0.002358398,0.003230749,0.003219572,0.00309914,0.005532564,0.002313381,0.06373543],"category_scores_gemma":[0.00806494,0.002011342,0.002467511,0.00370872,0.0006768306,0.002473598,0.004595837,0.004310697,0.09671171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641063,"about_ca_system_score_gemma":0.003409728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006872654,"about_ca_topic_score_gemma":0.01483504,"domain_scores_codex":[0.9969245,0.0006650634,0.0003794629,0.001125191,0.0006208522,0.0002849256],"domain_scores_gemma":[0.9976231,0.0005464467,0.0002644049,0.0008227886,0.0005352334,0.0002079552],"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":[0.0005804187,0.000076213,0.001172268,0.002868357,0.0003218237,0.0001620922,0.0002260232,0.001641544,0.009363138,0.002834549,0.9671419,0.0136117],"study_design_scores_gemma":[0.0003785057,0.00004587131,0.00274641,0.0003012893,0.0001428086,0.0001899055,0.00006111374,0.002203677,0.008186993,0.004399669,0.981245,0.00009872898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001277767,0.0002580569,0.01564052,0.0001243075,0.0001444346,0.0002325195,0.9601875,0.01895172,0.003183252],"genre_scores_gemma":[0.0007193235,0.00006532967,0.01299949,0.00007928326,0.000008687934,0.0005571846,0.9816477,0.002866615,0.001056275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06373543,"threshold_uncertainty_score":0.2132162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05905452395351471,"score_gpt":0.3019961731466956,"score_spread":0.2429416491931809,"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."}}