{"id":"W4408810024","doi":"10.26443/msurj.v1i2.301","title":"Optimization of Viral DNA Extraction from Vaginal Swabs","year":2025,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"DNA extraction; DNA; Virology; Extraction (chemistry); Computational biology; Medicine; Biology; Genetics; Polymerase chain reaction; Chemistry; Chromatography; 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":[0.003428595,0.001285171,0.001144797,0.001809695,0.001078764,0.001719451,0.001181723,0.0009947887,0.004774835],"category_scores_gemma":[0.007055048,0.0008679963,0.00106798,0.001011338,0.0007629661,0.000691194,0.001418813,0.001582062,0.007667772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351685,"about_ca_system_score_gemma":0.001114783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479252,"about_ca_topic_score_gemma":0.003619699,"domain_scores_codex":[0.99669,0.0007988886,0.0004084174,0.0007813866,0.0009015646,0.0004197614],"domain_scores_gemma":[0.9982304,0.0006920221,0.0001388692,0.0002022615,0.0006143713,0.0001221318],"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":[0.0002375309,0.0001473401,0.002504867,0.001015703,0.00003994033,0.0003776442,0.0004594676,0.001178011,0.9578887,0.0006108942,0.002232044,0.03330782],"study_design_scores_gemma":[0.00004965007,0.001268456,0.01165384,0.0006885011,0.0001584055,0.0009011381,0.0008297988,0.006517139,0.875713,0.001335673,0.1006814,0.0002030183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3299771,0.009110597,0.5951861,0.001337479,0.001757316,0.02023958,0.01883197,0.006230858,0.01732908],"genre_scores_gemma":[0.2304586,0.01004386,0.67181,0.001992557,0.0003643426,0.0155854,0.04794643,0.002267023,0.01953178],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004774835,"threshold_uncertainty_score":0.01813233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06850899896576353,"score_gpt":0.3672360271126586,"score_spread":0.2987270281468951,"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."}}