{"id":"W7118085879","doi":"10.13140/rg.2.2.16870.89926","title":"Open Cloud Mesh Hot RFC, IETF 124 Montreal","year":2025,"lang":"","type":"article","venue":"","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001417178,0.0005480307,0.0009320683,0.0004302492,0.0005043931,0.005066574,0.0144067,0.0002209677,0.00271346],"category_scores_gemma":[0.0001756337,0.000492284,0.000269055,0.003311525,0.0001998316,0.002698853,0.01416673,0.000424039,0.002324866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001764059,"about_ca_system_score_gemma":0.0009691938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374261,"about_ca_topic_score_gemma":0.005603392,"domain_scores_codex":[0.9947838,0.0003641605,0.001057362,0.002021341,0.0007671867,0.001006133],"domain_scores_gemma":[0.9944002,0.0002479996,0.0002778349,0.004365224,0.0003225866,0.0003861666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005291727,0.0003780152,0.0008333613,0.00003254621,0.000553394,0.00007369204,0.0002869274,0.00007610939,0.00007934308,0.2086796,0.5426839,0.2462702],"study_design_scores_gemma":[0.003328691,0.0004272853,0.01560709,0.0003351379,0.0008287926,0.00001896612,0.0003222116,0.5908167,0.003583993,0.02772765,0.3552339,0.00176952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001114855,0.0006099693,0.383964,0.0117231,0.003364808,0.000883364,0.00005669218,0.0001963199,0.5980868],"genre_scores_gemma":[0.4379561,0.000535087,0.04051267,0.01307572,0.0004504524,0.00007622359,0.00006543584,0.0000386611,0.5072896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5907406,"threshold_uncertainty_score":0.9997529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902017987700132,"score_gpt":0.295524275375213,"score_spread":0.2765040954982116,"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."}}