{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01445325,0.003726699,0.005603406,0.004970719,0.002301825,0.01502331,0.007156003,0.006420481,0.3190319],"category_scores_gemma":[0.02982398,0.001452215,0.002924964,0.005037908,0.003661031,0.01348244,0.01032729,0.009898728,0.2774241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003020759,"about_ca_system_score_gemma":0.007354318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002488698,"about_ca_topic_score_gemma":0.0016855,"domain_scores_codex":[0.9863253,0.003612625,0.001059992,0.002376635,0.005498974,0.001126571],"domain_scores_gemma":[0.9741526,0.00787085,0.0007979464,0.00534663,0.007480488,0.004351474],"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":[0.00009269883,0.0000515892,0.0001230185,0.0004708156,0.00003377013,0.00006954459,0.00006516743,0.0005837564,0.0005601919,0.01209064,0.9116921,0.07416658],"study_design_scores_gemma":[0.00001653027,0.00001859891,0.0001621105,0.0002810199,0.00000572121,0.00007083591,0.00002262381,0.0007117473,0.0001451174,0.005051597,0.993497,0.00001711935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003546295,0.1301389,0.2286729,0.06502716,0.2151756,0.002357441,0.02381764,0.02325775,0.3080063],"genre_scores_gemma":[0.01530408,0.1168857,0.120479,0.01842152,0.05972112,0.004261873,0.09255148,0.02336126,0.549014],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3190319,"threshold_uncertainty_score":0.9713184,"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."}}