{"id":"W7071109841","doi":"","title":"Rehearsal Vienna VCI talk Peter Schade","year":2010,"lang":"en","type":"other","venue":"International Linear Collider","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Phone; Bridge (graph theory); Special section; Kingdom","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001208233,0.0002684474,0.0001815685,0.0001479275,0.00003341858,0.00005522501,0.0005036891,0.000599854,0.003975943],"category_scores_gemma":[0.0002283356,0.0002566029,0.0001436667,0.00004869497,0.00008706867,0.000004129013,0.0002487112,0.0004682982,0.0005670689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001731847,"about_ca_system_score_gemma":0.00008492696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005871241,"about_ca_topic_score_gemma":0.0001491804,"domain_scores_codex":[0.9988232,0.00002797722,0.0002781257,0.0003223305,0.0003362127,0.000212192],"domain_scores_gemma":[0.9991354,0.00001203094,0.0002379253,0.0004378133,0.00009312158,0.00008373295],"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":[0.00005282233,0.00007353319,0.0007605735,0.00005064892,0.0003403791,0.00001946162,0.00002590746,0.00005983579,0.01013262,0.0004794486,0.986733,0.00127176],"study_design_scores_gemma":[0.0003460499,0.00005885404,0.0001565361,0.00004987481,0.00001448819,0.00005645731,0.000003197968,0.0007620686,0.001556425,0.00001296119,0.9966972,0.0002858551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001095861,0.0002395847,0.002634921,0.0006354062,0.00300804,0.0003141705,0.0002939971,0.00010534,0.9916727],"genre_scores_gemma":[0.002413068,0.0001210146,0.0276758,0.001309325,0.003305547,0.00002713882,0.001472457,0.0003782864,0.9632974],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02837531,"threshold_uncertainty_score":0.9999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005703164787302617,"score_gpt":0.2704836381333639,"score_spread":0.2647804733460613,"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."}}