{"id":"W1978604692","doi":"10.1016/s1525-1578(10)60447-3","title":"Method for Optimizing Pulsed-Field Gel Electrophoresis Banding Pattern Data","year":2003,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulsed-field gel electrophoresis; Restriction enzyme; Gel electrophoresis; Biology; genomic DNA; Agarose gel electrophoresis; Agarose; DNA profiling; DNA; Molecular biology; Genetics; Gene; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004434253,0.0001170131,0.0001828033,0.00004615694,0.00008987545,0.00006906731,0.0003642399,0.00006327502,0.0004791961],"category_scores_gemma":[0.001039809,0.000103084,0.0001173368,0.00009964164,0.00001739997,0.0002073451,0.0001075791,0.0002121515,0.00001396996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008291649,"about_ca_system_score_gemma":0.00002183993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003914343,"about_ca_topic_score_gemma":0.00001841309,"domain_scores_codex":[0.9990444,0.00007913161,0.0003238193,0.0001686613,0.0001488678,0.0002350865],"domain_scores_gemma":[0.9988277,0.0005272562,0.0002385878,0.0002740144,0.00003135609,0.0001011065],"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":[0.00002382014,0.000129818,0.0006830668,0.00001035298,0.00008536124,0.0001283927,0.00006231335,0.001526949,0.9406181,0.00003722417,0.02074759,0.03594703],"study_design_scores_gemma":[0.0009887812,0.0006072999,0.001417687,0.0001185492,0.0004007885,0.0006873324,0.00009875104,0.002311143,0.8312449,0.0005049408,0.1612468,0.0003729334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04938059,0.0003623297,0.9487494,0.0004953964,0.0003285209,0.0001252313,0.00002237115,0.000004706521,0.0005314859],"genre_scores_gemma":[0.6041512,0.001064307,0.39269,0.001840444,0.0001209356,0.000005120657,0.00001290062,0.00004046119,0.00007454903],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5560594,"threshold_uncertainty_score":0.5246861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710333390764599,"score_gpt":0.2986936597218641,"score_spread":0.2815903258142181,"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."}}