{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02876507,0.0008220412,0.0003255528,0.001780363,0.003723217,0.01294793,0.001711246,0.002221374,0.008256502],"category_scores_gemma":[0.02503828,0.0004002191,0.0003940623,0.001966318,0.002977709,0.009602529,0.009743642,0.003704865,0.00256307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006517122,"about_ca_system_score_gemma":0.01291004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004726635,"about_ca_topic_score_gemma":0.007867593,"domain_scores_codex":[0.982452,0.01017227,0.0004533722,0.0009989877,0.003394926,0.002528523],"domain_scores_gemma":[0.9767708,0.009573868,0.001725642,0.00198425,0.003925811,0.006019726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007989169,0.0009880885,0.02460754,0.001479171,0.00008387702,0.001180254,0.1197939,0.009775365,0.01782756,0.2355257,0.06621217,0.5217275],"study_design_scores_gemma":[0.0000744456,0.0004349853,0.01522143,0.0008447953,0.00003595346,0.0003482575,0.08486252,0.004004673,0.008173806,0.1079143,0.7779381,0.0001465481],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3482375,0.006917162,0.1655636,0.1870307,0.001792797,0.0009234321,0.002320698,0.002688786,0.2845252],"genre_scores_gemma":[0.8558685,0.004516605,0.1008298,0.004784016,0.0006043423,0.0004370108,0.001366582,0.001537385,0.03005561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02876507,"threshold_uncertainty_score":0.152126,"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."}}