{"id":"W4365399020","doi":"10.17504/protocols.io.q26g7yzz3gwz/v2","title":"HTTM : gDNA extraction v2","year":2022,"lang":"en","type":"preprint","venue":"","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"genomic DNA; Extraction (chemistry); Transposable element; Computational biology; Biology; DNA; Genetics; Genome; Chromatography; Chemistry; Gene","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":[0.001074105,0.003146277,0.002556068,0.003080091,0.001224083,0.001661998,0.002333919,0.001499786,0.05472248],"category_scores_gemma":[0.002509608,0.001767552,0.001440115,0.002420845,0.0008625408,0.0009863304,0.002328,0.004705776,0.1034621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006458105,"about_ca_system_score_gemma":0.001135135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602645,"about_ca_topic_score_gemma":0.002795069,"domain_scores_codex":[0.9986075,0.0001817202,0.0001729161,0.0004678127,0.0003528017,0.0002172059],"domain_scores_gemma":[0.9991171,0.0002148353,0.00004316518,0.000417744,0.0001113596,0.00009583502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006434401,0.0001552477,0.0003945239,0.001829023,0.0001302683,0.0004054252,0.0002918571,0.0004440702,0.8726364,0.003058657,0.06456087,0.05545029],"study_design_scores_gemma":[0.0001106295,0.0001426137,0.001345669,0.0001421341,0.0001282075,0.0009513733,0.00004830334,0.0008923188,0.5706146,0.001643765,0.4238727,0.0001077947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.02798661,0.00599838,0.6719892,0.0009143597,0.001796218,0.005416191,0.1757554,0.07674059,0.03340305],"genre_scores_gemma":[0.04673827,0.005018321,0.3752237,0.001225735,0.0003193365,0.007267504,0.4371485,0.03880067,0.08825792],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.05472248,"threshold_uncertainty_score":0.1830649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018642154653812,"score_gpt":0.3369164411981117,"score_spread":0.3267300196515736,"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."}}