{"id":"W2060552609","doi":"10.1016/j.procs.2012.04.180","title":"Kepler for ‘Omics Bioinformatics","year":2012,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Omics; Kepler; Bioinformatics; Data science; Computational biology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005708507,0.003202593,0.003404191,0.003836791,0.001739621,0.007149938,0.004000857,0.002517469,0.1205399],"category_scores_gemma":[0.01093533,0.001135378,0.00284677,0.007281181,0.001172156,0.004315177,0.006325759,0.005148171,0.1583787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494,"about_ca_system_score_gemma":0.004050425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701694,"about_ca_topic_score_gemma":0.0008128521,"domain_scores_codex":[0.9954404,0.00113522,0.0004458638,0.001194014,0.001275335,0.0005092385],"domain_scores_gemma":[0.9932986,0.001419449,0.0006893878,0.001990701,0.001492796,0.001109088],"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":[0.001879282,0.0001403693,0.002134945,0.003567009,0.0004035861,0.0008492435,0.0004953891,0.00416224,0.01501421,0.08430709,0.659332,0.2277146],"study_design_scores_gemma":[0.0002243635,0.00007165894,0.0008692226,0.0002126485,0.00008683707,0.0003445292,0.00005930704,0.00531067,0.006533665,0.04335743,0.9428469,0.00008268763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01029684,0.01672166,0.3734159,0.02221451,0.01131076,0.001366905,0.1437441,0.2238114,0.1971179],"genre_scores_gemma":[0.08300421,0.01072014,0.5208485,0.006512753,0.003419751,0.002744565,0.2013305,0.04341087,0.1280088],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1205399,"threshold_uncertainty_score":0.403246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1622882265160856,"score_gpt":0.3913130239518328,"score_spread":0.2290247974357471,"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."}}