{"id":"W2120946080","doi":"10.1002/elsc.201000132","title":"Extraction of nucleic acids from bacterial spores using bead‐based mechanical lysis on a plastic chip","year":2011,"lang":"en","type":"article","venue":"Engineering in Life Sciences","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Lysis; Nucleic acid; Extraction (chemistry); Materials science; DNA extraction; DNA; Matrix (chemical analysis); Bead; Chromatography; Chemistry; Composite material; 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":[0.000195818,0.0001544569,0.0002099804,0.0003265389,0.00003670159,0.00001575905,0.0002351916,0.0001265203,0.00006170905],"category_scores_gemma":[0.0002512185,0.0001396322,0.00004810909,0.0004410797,0.0001007445,0.00009546837,0.0000279965,0.000154644,0.000005427343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004583905,"about_ca_system_score_gemma":0.00002842162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162144,"about_ca_topic_score_gemma":0.000005041577,"domain_scores_codex":[0.9990965,0.00001087394,0.0002608477,0.0002101968,0.0001828184,0.0002387719],"domain_scores_gemma":[0.9996098,0.0001383888,0.00004027219,0.000155923,0.00001092804,0.00004465975],"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":[0.00002272041,0.00004222656,0.001811713,0.00003054431,0.00001572396,0.000007419224,0.000147626,0.09428599,0.9028396,0.0003251527,0.00003861986,0.0004326402],"study_design_scores_gemma":[0.0002606825,0.000121929,0.01591116,0.0001960252,0.00001639738,0.000002182256,0.0001232925,0.4548851,0.5281116,0.00009331198,0.00004704612,0.000231265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888656,0.00009754967,0.009822666,0.000007284175,0.0007679116,0.00005349013,0.000007778668,0.000330545,0.00004717031],"genre_scores_gemma":[0.9818372,0.0000167894,0.0180454,0.000004510121,0.00007673045,0.000002081533,0.000001876167,0.00001494872,5.172261e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3747281,"threshold_uncertainty_score":0.5694036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03619942049197825,"score_gpt":0.2257207172027159,"score_spread":0.1895212967107377,"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."}}