{"id":"W7096411416","doi":"","title":"BIOINFORMATICS ALGORITHMS: TECHNIQUES AND APPLICATIONS BIOINFORMATICS ALGORITHMS: TECHNIQUES AND APPLICATIONS","year":2014,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Authorization; Permission; Payment; Section (typography); Field (mathematics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006973823,0.0003407326,0.0003022977,0.0002333579,0.0003164547,0.0001807538,0.0004281713,0.0004179478,0.00001425863],"category_scores_gemma":[0.00007564697,0.0002866503,0.00007823428,0.000258147,0.0007117642,0.00003429972,0.0005280421,0.0002302051,0.0000331459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002241149,"about_ca_system_score_gemma":0.00009325804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002137107,"about_ca_topic_score_gemma":0.00001128995,"domain_scores_codex":[0.9979539,0.00003680194,0.0007581699,0.0003433874,0.0003914048,0.0005163642],"domain_scores_gemma":[0.9983398,0.00006368333,0.0002021392,0.0007049736,0.0002809224,0.0004085077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009156039,0.00007195833,0.0001243717,0.0003147037,0.00004256282,3.916468e-7,0.00008759194,3.335691e-7,0.001923118,0.001267358,0.002311984,0.9938465],"study_design_scores_gemma":[0.0004167366,0.0005301033,0.00004711296,0.00003290606,0.00003350203,0.000150337,0.0005420726,0.007453727,0.05381947,0.001072945,0.9354215,0.0004796235],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006679915,0.0008366609,0.946405,0.0005934567,0.0000449357,0.00241296,0.0001529279,0.0003053995,0.04858068],"genre_scores_gemma":[0.007086073,0.01670871,0.9681232,0.001282904,0.001609647,0.001668801,0.0009212161,0.00008203338,0.002517405],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9933668,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081710324028415,"score_gpt":0.2821032144440462,"score_spread":0.2712861112037621,"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."}}