{"id":"W2892158700","doi":"10.1093/bioinformatics/bty740","title":"ECCB 2018: The 17th European Conference on Computational Biology","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computational biology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006436241,0.0001875972,0.0001316446,0.00006781318,0.0002625323,0.00008858338,0.0006053936,0.0001305532,0.00009460883],"category_scores_gemma":[0.000250867,0.0001190296,0.00007960731,0.0001169627,0.0008837294,0.000007123674,0.0002966567,0.0001607949,0.001324509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001522986,"about_ca_system_score_gemma":0.0001462255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005403681,"about_ca_topic_score_gemma":0.00001073764,"domain_scores_codex":[0.9985759,0.00009368715,0.0004431632,0.0001632985,0.000314779,0.0004091688],"domain_scores_gemma":[0.9989067,0.00004262855,0.0001448682,0.000475564,0.0002662586,0.0001639279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005530386,0.0005410805,0.0021628,0.0003040193,0.0005197111,0.000006599021,0.004430842,0.0002574956,0.020073,0.02813413,0.557042,0.3859753],"study_design_scores_gemma":[0.002062694,0.004990573,0.007136233,0.00008013864,0.00003673517,0.00005602398,0.001432457,0.07576209,0.01490504,0.003547787,0.8891006,0.0008896259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2103274,0.0002468046,0.1771229,0.007120835,0.002543735,0.001532876,0.0004709011,0.0001579709,0.6004765],"genre_scores_gemma":[0.9833458,0.000208519,0.01046278,0.003468984,0.0008424967,0.000007863643,0.0004533327,0.00002106105,0.001189175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7730184,"threshold_uncertainty_score":0.9994531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740899556486846,"score_gpt":0.302256421269661,"score_spread":0.2648474257047925,"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."}}