{"id":"W4210774173","doi":"10.17504/protocols.io.bxx2ppqe","title":"FindingNemo Extraction 2: Phenol-free Method v2","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Minion; DNA extraction; Lysis; Chromatography; DNA; Extraction (chemistry); Phenol extraction; Protocol (science); Chemistry; DNA sequencing; Computational biology; Computer science; Nanopore sequencing; Biology; Biochemistry; Polymerase chain reaction; Gene; RNA","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":[0.001302246,0.003035066,0.00240378,0.002228994,0.001699025,0.001674952,0.002402461,0.001470184,0.04188334],"category_scores_gemma":[0.002428391,0.001555703,0.001385322,0.00139939,0.0007755107,0.001104843,0.002464581,0.003017856,0.08238898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005026054,"about_ca_system_score_gemma":0.001695458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014251,"about_ca_topic_score_gemma":0.001853847,"domain_scores_codex":[0.9973008,0.0002617943,0.0002721414,0.0008578828,0.0008934469,0.0004139207],"domain_scores_gemma":[0.9990299,0.0001972324,0.00007346024,0.0003301853,0.000257497,0.0001117109],"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":[0.0005179479,0.0002169924,0.001055532,0.002349482,0.0001183696,0.0005210275,0.0004023653,0.0004061053,0.8673481,0.002156916,0.04497303,0.07993422],"study_design_scores_gemma":[0.00007335968,0.0002699779,0.001965551,0.0001730037,0.0001006623,0.001002898,0.00008587255,0.001148301,0.5631757,0.001265846,0.4306077,0.0001310649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05494316,0.007914582,0.7673537,0.001171191,0.002348797,0.01078434,0.05005082,0.06214984,0.04328363],"genre_scores_gemma":[0.05880654,0.006301878,0.6111653,0.002045147,0.0004184442,0.01619878,0.1614098,0.02958196,0.1140721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04188334,"threshold_uncertainty_score":0.1401138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550186659908975,"score_gpt":0.3436414927826823,"score_spread":0.3281396261835925,"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."}}