{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000147962,0.0001137469,0.0001371392,0.00002556878,0.00004387844,0.000008550026,0.0000776165,0.0002923385,0.0000146203],"category_scores_gemma":[0.00003799192,0.0001081335,0.00005732066,0.00003306555,0.0001048417,0.000002657428,0.00004833007,0.00007261179,8.647381e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007281787,"about_ca_system_score_gemma":0.00001690768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001481761,"about_ca_topic_score_gemma":0.00001129009,"domain_scores_codex":[0.9992617,0.00008314581,0.0002147696,0.0002742543,0.00004917416,0.0001169553],"domain_scores_gemma":[0.9995303,0.000009120695,0.0001151718,0.000265403,0.00003900823,0.00004102948],"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":[0.00003080242,0.00005462139,0.0007590305,0.000005157387,0.00002200591,5.185523e-7,0.000005709969,3.057925e-8,0.9954655,0.001982781,0.0008409484,0.0008329545],"study_design_scores_gemma":[0.000145053,0.0001341142,0.003998361,0.00001032758,0.00001054345,0.00001815744,0.00001127228,0.000001181398,0.9591897,0.0004919914,0.03586709,0.0001221774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718155,0.0003120784,0.02636199,0.00007992324,0.00002953128,0.000263256,0.0002288046,0.00004530317,0.0008635878],"genre_scores_gemma":[0.9842752,0.0003368419,0.01486859,0.000118457,0.00003285571,0.00003642393,0.0002318688,0.00001123702,0.00008849487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03627571,"threshold_uncertainty_score":0.4409554,"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."}}