{"id":"W2171663876","doi":"10.1002/elps.200700407","title":"Quantitative predictions for DNA two‐dimensional display according to size and nucleotide sequence composition","year":2008,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"In silico; Genome; Computational biology; DNA; Biology; Sequence (biology); DNA sequencing; Genetics; Biological system; 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":[0.00245081,0.0009228398,0.0005803411,0.0007254864,0.0003113511,0.001020051,0.001095358,0.00115244,0.001124957],"category_scores_gemma":[0.01108719,0.0007505696,0.0006589103,0.0005363922,0.00106533,0.001276493,0.000530532,0.000912236,0.000439102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001987744,"about_ca_system_score_gemma":0.0006411157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002883519,"about_ca_topic_score_gemma":0.001457688,"domain_scores_codex":[0.9994162,0.0001832954,0.0000214929,0.0001320956,0.0001817861,0.00006510746],"domain_scores_gemma":[0.9924103,0.006489617,0.0003906174,0.0002321221,0.0003717081,0.0001056387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007945066,0.0000387017,0.002123151,0.00006666392,0.00001772643,0.00003477034,0.00003332867,0.9570328,0.02675016,0.007749961,0.0002202787,0.005852935],"study_design_scores_gemma":[0.000005559253,0.00001208632,0.000442339,0.000002486456,0.000002584028,0.000006967176,0.000003687835,0.9924133,0.004541317,0.002465708,0.00009378754,0.00001013473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1860502,0.0004409035,0.8100032,0.0004040386,0.00003738416,0.0001037431,0.0003681697,0.0008051092,0.001787177],"genre_scores_gemma":[0.8701724,0.0006411364,0.1265486,0.0001225918,0.00001804887,0.0004732951,0.0005548144,0.0001770384,0.001292125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002883519,"threshold_uncertainty_score":0.01442212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169600082558054,"score_gpt":0.2715093899720895,"score_spread":0.2545493817162841,"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."}}