{"id":"W6931366263","doi":"10.5281/zenodo.7796387","title":"virtualcell/vcell: fixed database errors from random simulation key","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glycemic Index Laboratories","funders":"","keywords":"Key (lock); Error detection and correction; Fixed point; Data modeling; Data loss","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":[0.006014381,0.002357809,0.001195257,0.001502562,0.0009448059,0.003521032,0.007132489,0.002098275,0.096873],"category_scores_gemma":[0.03559956,0.001779197,0.001079884,0.001153327,0.001203907,0.004043163,0.0044899,0.00315934,0.04059402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159683,"about_ca_system_score_gemma":0.00217222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003904667,"about_ca_topic_score_gemma":0.003863252,"domain_scores_codex":[0.9930758,0.00167267,0.0005879762,0.001349889,0.002738067,0.0005754405],"domain_scores_gemma":[0.9813029,0.006315398,0.0005693433,0.008620201,0.00231784,0.0008742553],"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":[0.003371318,0.0003911215,0.004226099,0.0009641911,0.0003683811,0.0004110497,0.0003432576,0.07513938,0.01274591,0.04043874,0.6626363,0.1989643],"study_design_scores_gemma":[0.001290544,0.0003519294,0.001118661,0.0001570538,0.000123043,0.0004725261,0.00007352309,0.5270046,0.1223913,0.03279265,0.3139545,0.0002697947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01253458,0.0003602631,0.3555628,0.0009372221,0.001801898,0.0005241047,0.01449836,0.5785171,0.03526365],"genre_scores_gemma":[0.3046927,0.000550048,0.2588284,0.001328245,0.0004845997,0.001644139,0.05816972,0.3100368,0.06426521],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.096873,"threshold_uncertainty_score":0.3240725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04565736594585464,"score_gpt":0.2880056528102458,"score_spread":0.2423482868643912,"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."}}