{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007802245,0.002592132,0.003416062,0.008095288,0.001525685,0.009756168,0.002795774,0.003148769,0.08171419],"category_scores_gemma":[0.04206296,0.002037322,0.00200595,0.02147718,0.003170503,0.005456909,0.005002612,0.006470999,0.1550831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002237006,"about_ca_system_score_gemma":0.007716591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003467333,"about_ca_topic_score_gemma":0.002631744,"domain_scores_codex":[0.9874874,0.004590662,0.001338568,0.001577789,0.004660807,0.0003446985],"domain_scores_gemma":[0.9708217,0.01233047,0.0008439419,0.005681165,0.009057945,0.001264857],"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":[0.00009697915,0.0001442199,0.0006537543,0.002476541,0.0003105908,0.0001459566,0.0002448483,0.00579128,0.003132537,0.05518376,0.3203107,0.6115088],"study_design_scores_gemma":[0.0000903591,0.00008841353,0.001254843,0.001164811,0.0001009737,0.0009883509,0.0001281937,0.03539995,0.003142056,0.1210645,0.836465,0.0001126351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001235102,0.02220837,0.9013495,0.00480214,0.003261501,0.0008396522,0.005792391,0.01649148,0.04401981],"genre_scores_gemma":[0.01127088,0.03422843,0.8645756,0.001598636,0.002037398,0.00190699,0.01396448,0.005221913,0.06519574],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08171419,"threshold_uncertainty_score":0.2733611,"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."}}