{"id":"W3209341240","doi":"10.5281/zenodo.3810825","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":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004813957,0.0001154988,0.0001371326,0.0001309322,0.0007030866,0.0003051967,0.0008180861,0.00009110314,0.002721145],"category_scores_gemma":[0.00119738,0.0001131591,0.0001085582,0.0006516491,0.0001700004,0.000009865155,0.001048548,0.0001562864,0.00199633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004616044,"about_ca_system_score_gemma":0.00001096951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000104032,"about_ca_topic_score_gemma":5.772465e-7,"domain_scores_codex":[0.9985155,0.000139437,0.0002708924,0.0003435986,0.0003828801,0.0003477192],"domain_scores_gemma":[0.998796,0.000006719446,0.00006825936,0.0003493851,0.0004186012,0.000360992],"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":[0.0001426077,0.00008491478,0.00004925708,0.000145539,0.0006864371,0.0000172657,0.001399691,0.0004361373,0.3799148,0.000379718,0.4793291,0.1374145],"study_design_scores_gemma":[0.0002777164,0.0003559813,0.0002300214,0.000004134445,0.00004412239,0.00001235332,0.0004102182,0.002405276,0.01253005,0.00001632842,0.9835663,0.0001474642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.267088,0.0006854185,0.2236927,0.01126096,0.000247458,0.00142589,0.0009607916,0.0009948869,0.4936439],"genre_scores_gemma":[0.9909592,0.0003282677,0.001584686,0.001307277,0.0003880348,3.982297e-8,0.003813196,0.0004674767,0.001151848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7238712,"threshold_uncertainty_score":0.9987807,"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."}}