{"id":"W2004016699","doi":"10.1186/1746-4811-4-20","title":"Protocol: A high-throughput DNA extraction system suitable for conifers","year":2008,"lang":"en","type":"article","venue":"Plant Methods","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"DNA extraction; Throughput; Protocol (science); Bottleneck; DNA; Extraction (chemistry); Biology; Chromatography; Computational biology; Computer science; Chemistry; Polymerase chain reaction; Embedded system; Genetics; Medicine; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002517301,0.002492673,0.001408723,0.002137203,0.002333999,0.001200474,0.002609681,0.001765339,0.02629872],"category_scores_gemma":[0.003143443,0.00166271,0.001498057,0.001921404,0.001217078,0.001282024,0.001356574,0.003151119,0.03855035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007904936,"about_ca_system_score_gemma":0.002601471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520612,"about_ca_topic_score_gemma":0.003628425,"domain_scores_codex":[0.9955084,0.0008831359,0.0007089537,0.001216988,0.001284903,0.0003976583],"domain_scores_gemma":[0.9977551,0.0003908129,0.00029692,0.0006005376,0.0007885325,0.0001680901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004868374,0.0003094657,0.001116766,0.001672018,0.00006067061,0.0005120704,0.0003056005,0.0004719247,0.929323,0.001572149,0.02425436,0.03991523],"study_design_scores_gemma":[0.0003719142,0.0009737888,0.008527,0.0003976743,0.0002570153,0.002488424,0.0001256717,0.003199753,0.6560447,0.001692576,0.3256462,0.0002752195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.02485111,0.00194562,0.910681,0.0005888178,0.0008110155,0.01787083,0.0197521,0.01306185,0.0104375],"genre_scores_gemma":[0.02595401,0.002011741,0.8501058,0.0009444646,0.0002132897,0.02949592,0.06059774,0.002783821,0.02789317],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.02629872,"threshold_uncertainty_score":0.08797801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05585997080106111,"score_gpt":0.3607642272612775,"score_spread":0.3049042564602165,"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."}}