{"id":"W6968271764","doi":"10.5281/zenodo.3810824","title":"Sequencing Analysis Guide","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sanger sequencing; DNA sequencing; Sequence analysis; Sequence (biology); DNA; Sequencing by ligation; DNA nanoball sequencing; Visualization","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":[0.004723984,0.002620322,0.003889192,0.00560372,0.003021465,0.003103613,0.004196681,0.002320528,0.1792906],"category_scores_gemma":[0.009456739,0.002227587,0.002844984,0.003202809,0.001444294,0.001466672,0.001971377,0.004899444,0.2105995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405099,"about_ca_system_score_gemma":0.005402612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002891509,"about_ca_topic_score_gemma":0.007235709,"domain_scores_codex":[0.9944214,0.00123154,0.0006757609,0.001910593,0.001306104,0.0004546722],"domain_scores_gemma":[0.9951616,0.0009033253,0.0002496797,0.001834845,0.001495995,0.0003546116],"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":[0.001197826,0.0004298724,0.002291161,0.003492411,0.000265654,0.001012205,0.0008672166,0.002507788,0.1480027,0.01654614,0.678718,0.1446691],"study_design_scores_gemma":[0.0001999877,0.0002358812,0.001324357,0.0003989445,0.0001307241,0.000672579,0.0001194309,0.002614506,0.03348019,0.00613579,0.9545718,0.0001158643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007467517,0.003343592,0.5886878,0.001538838,0.001741017,0.01525839,0.2473993,0.05782358,0.07674003],"genre_scores_gemma":[0.009220833,0.002140607,0.5271625,0.003307864,0.0003657887,0.01796967,0.3293129,0.01999328,0.09052657],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1792906,"threshold_uncertainty_score":0.5997869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815192329312147,"score_gpt":0.2656237686001214,"score_spread":0.2274718453069999,"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."}}