{"id":"W3196885922","doi":"10.17504/protocols.io.bxvupn6w","title":"FindingNemo Extraction 2: Phenol-free Method v1","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":"","keywords":"Minion; DNA extraction; Lysis; Chromatography; Phenol extraction; Protocol (science); Extraction (chemistry); DNA; Chemistry; Computer science; DNA sequencing; Computational biology; Biology; Nanopore sequencing; 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":[0.001299661,0.003144856,0.002474368,0.002185655,0.001669531,0.001613549,0.002416677,0.001442814,0.04136651],"category_scores_gemma":[0.002399765,0.001628158,0.001415,0.001415219,0.0007884218,0.001062658,0.002366767,0.002985933,0.0858848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005133687,"about_ca_system_score_gemma":0.001685269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029991,"about_ca_topic_score_gemma":0.001866399,"domain_scores_codex":[0.9973821,0.0002729423,0.0002725199,0.0008460922,0.0008459356,0.0003804137],"domain_scores_gemma":[0.9990784,0.0001868231,0.0000683787,0.0003240553,0.0002432535,0.00009914149],"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":[0.0005276427,0.0002213857,0.001058098,0.002440759,0.0001204054,0.0005040183,0.0003728237,0.0004271044,0.8644285,0.002165094,0.04963388,0.07810043],"study_design_scores_gemma":[0.00007465241,0.0003031683,0.002093727,0.0001795721,0.0000978107,0.001039213,0.00008038057,0.001216387,0.5543947,0.001287248,0.439099,0.0001340349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04873858,0.007825826,0.7689976,0.001006001,0.002150639,0.01051076,0.05695974,0.0654626,0.03834828],"genre_scores_gemma":[0.05328259,0.005865225,0.6050989,0.001865951,0.0003912692,0.01644422,0.1886034,0.02856012,0.09988835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04136651,"threshold_uncertainty_score":0.1383848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643182622964087,"score_gpt":0.3422730660114687,"score_spread":0.3258412397818279,"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."}}