{"id":"W4244443336","doi":"10.1093/bioinformatics/btt670","title":"ISCB/SPRINGER series in computational biology","year":2013,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); 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":[0.002490484,0.002334557,0.002737763,0.005261374,0.001071166,0.01253908,0.002635148,0.00307754,0.3265777],"category_scores_gemma":[0.011817,0.001266251,0.001688609,0.0107616,0.001178591,0.007703028,0.003880388,0.006531717,0.3446293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632588,"about_ca_system_score_gemma":0.003895069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928063,"about_ca_topic_score_gemma":0.001650307,"domain_scores_codex":[0.9965218,0.0004055675,0.0003456345,0.0007359145,0.001821251,0.0001697879],"domain_scores_gemma":[0.9942624,0.001612035,0.0003928771,0.001388816,0.00169306,0.0006507711],"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":[0.00002920821,0.00003261663,0.0001410215,0.0007668837,0.00004326606,0.00005864407,0.00005466542,0.000891398,0.0005132173,0.02098264,0.7766753,0.1998111],"study_design_scores_gemma":[0.000008225707,0.000008192309,0.0001966749,0.0003541905,0.000009321969,0.0001229439,0.00003109582,0.0006682187,0.0001534416,0.01185858,0.9865717,0.00001746013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001203286,0.1215501,0.07967751,0.01378956,0.04106798,0.0005228424,0.02321783,0.01488217,0.7040887],"genre_scores_gemma":[0.009473898,0.1243245,0.07360521,0.006746522,0.01190885,0.001173742,0.04130149,0.01349426,0.7179716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3265777,"threshold_uncertainty_score":0.9605551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424726321169884,"score_gpt":0.2469538280182007,"score_spread":0.2327065648065018,"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."}}