{"id":"W7161963617","doi":"10.82308/11487","title":"Simulations and Data Analysis for HIRAX and CHORD","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chord (peer-to-peer); Fire brigade; Base (topology); ESPACE","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":[],"consensus_categories":[],"category_scores_codex":[0.00005937973,0.0001400036,0.0002646193,0.0002669955,0.0001478667,0.00006684757,0.0001688508,0.00008518189,0.0001290715],"category_scores_gemma":[0.000007951667,0.0001375522,0.00004938287,0.0003537677,0.00002056608,0.0001062023,0.00005365545,0.0000877994,0.000002665711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004415193,"about_ca_system_score_gemma":0.00003096006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004027603,"about_ca_topic_score_gemma":0.0009886299,"domain_scores_codex":[0.9992068,0.000005466462,0.0001917868,0.0004202162,0.00004317228,0.000132502],"domain_scores_gemma":[0.9992394,0.0001068869,0.00009784949,0.0004742853,0.00004720585,0.00003434929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002509385,0.00009550068,0.5623518,0.00009390394,0.006170135,2.812169e-7,0.0002741678,0.000653311,0.00007317596,0.1484778,0.005514446,0.2762704],"study_design_scores_gemma":[0.001397526,0.00009224552,0.6413587,0.00003859319,0.006488786,1.533673e-7,0.005290399,0.2358899,0.0001553202,0.03888729,0.06930393,0.00109717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931338,0.0001465118,0.06090689,0.0003288433,0.0002005346,0.0007822023,0.002972957,0.0001584683,0.00316557],"genre_scores_gemma":[0.933471,0.000007343873,0.006114257,0.000006111993,0.0001130489,0.00006662637,0.044408,0.0000263268,0.01578729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2751732,"threshold_uncertainty_score":0.5609214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413491941585698,"score_gpt":0.3350193313643241,"score_spread":0.2908844119484671,"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."}}