{"id":"W2534376140","doi":"10.1111/1755-0998.12616","title":"Modified low‐salt CTAB extraction of high‐quality DNA from contaminant‐rich tissues","year":2016,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Biology; DNA extraction; DNA; Nucleic acid; genomic DNA; Extraction (chemistry); Contamination; Chromatography; Computational biology; Polymerase chain reaction; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002091297,0.0001903994,0.0003289061,0.0000383941,0.0001475512,0.000007988381,0.000325724,0.0001713834,0.001674531],"category_scores_gemma":[0.00009476345,0.0001503488,0.0000770412,0.00008982949,0.0008023563,0.0001207057,0.0004584129,0.00008545116,0.000728329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858507,"about_ca_system_score_gemma":0.00000192715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349864,"about_ca_topic_score_gemma":0.0002936755,"domain_scores_codex":[0.9983508,0.0002396065,0.0003074553,0.0004849033,0.0003091173,0.0003081357],"domain_scores_gemma":[0.9990811,0.000246627,0.0002354154,0.0003558105,0.000007128604,0.00007388086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005386481,0.0001285541,0.5200386,0.000004544514,0.00005584033,0.00002927185,0.0003251823,0.00005499129,0.477403,0.00002754967,0.0003657108,0.001512862],"study_design_scores_gemma":[0.0005371351,0.000108044,0.76376,0.000009623878,0.00003484391,0.000001987082,0.0001412503,0.000003331702,0.2331143,0.0004076058,0.001718788,0.0001630628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971179,0.000112096,0.0004230874,0.0004899777,0.0001379744,0.0002034628,0.00007670137,0.000041296,0.001397453],"genre_scores_gemma":[0.9979692,0.00007175248,0.0009833868,0.0001821024,0.00001875094,0.00001527769,0.00001018722,0.00001269656,0.0007366776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2442888,"threshold_uncertainty_score":0.9992381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009964775036563176,"score_gpt":0.2292883018350676,"score_spread":0.2193235267985044,"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."}}