{"id":"W161269928","doi":"10.2144/03341st06","title":"Extraction of PCR-Quality Plant and Microbial DNA from Total Rumen Contents","year":2003,"lang":"en","type":"article","venue":"BioTechniques","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Rumen; DNA extraction; DNA; Biology; Polymerase chain reaction; Extraction (chemistry); Population; Bacteria; Chromatography; Microbiology; Biochemistry; Chemistry; Gene; Genetics; Fermentation","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":[0.001637512,0.0009757301,0.001076859,0.001476621,0.0004973455,0.000714561,0.0008368363,0.0008604013,0.002894566],"category_scores_gemma":[0.003457643,0.0006947487,0.0008431769,0.000826251,0.0005643161,0.0006749462,0.0005663445,0.001408297,0.003388052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003113772,"about_ca_system_score_gemma":0.0009623982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007805252,"about_ca_topic_score_gemma":0.001867237,"domain_scores_codex":[0.9980673,0.0003653546,0.0002380623,0.0005769363,0.0005944793,0.0001578419],"domain_scores_gemma":[0.9971739,0.0008780038,0.0005597525,0.0004321802,0.0008382495,0.0001177895],"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":[0.00007542148,0.00002897332,0.0003494976,0.0001604345,0.000009737954,0.00006602714,0.00003292301,0.00006569776,0.9883438,0.0001211361,0.0001067626,0.01063946],"study_design_scores_gemma":[0.00003748852,0.0004242563,0.004812647,0.00007050798,0.0000870992,0.0006390897,0.00006965956,0.001392348,0.9789514,0.0002864987,0.01320266,0.00002640033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2330129,0.005300609,0.7472228,0.0003703735,0.0002896891,0.001718983,0.005288505,0.002001629,0.004794461],"genre_scores_gemma":[0.149463,0.00509887,0.8157884,0.000520855,0.0001525968,0.0008637005,0.01511854,0.0006481381,0.01234584],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002894566,"threshold_uncertainty_score":0.009683311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787546357562201,"score_gpt":0.289945353972528,"score_spread":0.2720698903969059,"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."}}