{"id":"W1995348113","doi":"10.1016/j.jchromb.2011.11.042","title":"PCR-ready human DNA extraction from urine samples using magnetic nanoparticles","year":2011,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Urine; Chemistry; genomic DNA; Chromatography; Extraction (chemistry); DNA; DNA extraction; Solid phase extraction; Polymerase chain reaction; Biochemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001296343,0.0001259039,0.0001604268,0.00009994771,0.00009160815,0.00001529037,0.0001950434,0.0001268012,0.00009272413],"category_scores_gemma":[0.00001087404,0.0001106808,0.0001793883,0.0001037722,0.000109488,0.000007639869,0.00003990606,0.00009388924,0.000001745803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005913707,"about_ca_system_score_gemma":0.00002645456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009488394,"about_ca_topic_score_gemma":0.00001791671,"domain_scores_codex":[0.9991708,0.00005343727,0.0003618276,0.0001610132,0.00009868531,0.0001542136],"domain_scores_gemma":[0.999245,0.000006089367,0.0003058157,0.0002476103,0.0001099083,0.00008550788],"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":[0.00003036386,0.0001411488,0.009199005,0.000003583961,0.00006519719,0.000008372697,0.00002260688,0.000001330702,0.9891447,0.0002586216,0.0003797941,0.0007452945],"study_design_scores_gemma":[0.0003177458,0.0004980356,0.03969539,0.00002096729,0.00008193904,0.0001604838,0.00003905934,0.000005671752,0.9500706,0.001657413,0.007314293,0.0001383846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923501,0.001071767,0.005990678,0.00002236049,0.00006024786,0.00008517223,0.0000158792,0.00001255299,0.0003912136],"genre_scores_gemma":[0.9798389,0.0001514648,0.01970432,0.00007845604,0.0001673472,0.000005405765,0.00002814193,0.00001698196,0.000008953787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03907406,"threshold_uncertainty_score":0.4513432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792614713705392,"score_gpt":0.2916067577947655,"score_spread":0.2536806106577116,"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."}}