{"id":"W6930165213","doi":"10.5281/zenodo.10848029","title":"Enhancing VGOS Operations: Insights from R&D Sessions and Pathways Ahead","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Milestone; Baseline (sea); Work (physics); Earth system science; Focus (optics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001430552,0.000106209,0.0000760554,0.00009608933,0.0008636481,0.0005924612,0.0002659587,0.0000672395,0.001360179],"category_scores_gemma":[0.0001484549,0.0001028746,0.00002991037,0.0001785223,0.00006733124,0.00002031336,0.0006155905,0.0001215017,0.001318559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002909254,"about_ca_system_score_gemma":0.000006345717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001464368,"about_ca_topic_score_gemma":0.000002334303,"domain_scores_codex":[0.9990216,0.0001240225,0.0001463659,0.0003922016,0.0001444655,0.0001713477],"domain_scores_gemma":[0.9994603,0.000007850053,0.00001592688,0.0002643883,0.0001434564,0.0001080835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009769977,0.00003615649,0.000001440271,0.00003214964,0.00005666905,0.00001040078,0.000806046,0.00003103298,0.9534152,0.001028917,0.01147551,0.03309667],"study_design_scores_gemma":[0.0002332603,0.0001650067,0.0002581027,0.00005666369,0.00001681709,0.00003233726,0.0004102378,0.0009497728,0.04041351,0.0002120393,0.957081,0.000171311],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379825,0.005636145,0.02807936,0.0006726014,0.0003050177,0.0006563771,0.0004361889,0.0005790587,0.02565273],"genre_scores_gemma":[0.9941334,0.0005469622,0.0009640594,0.00008741866,0.0002889638,1.241361e-7,0.002754163,0.000550487,0.0006743959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9456055,"threshold_uncertainty_score":0.9995527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320379240569045,"score_gpt":0.2404164000435043,"score_spread":0.2172126076378138,"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."}}