{"id":"W6910570963","doi":"10.48550/arxiv.1406.2288","title":"Canadian Hydrogen Intensity Mapping Experiment (CHIME) Pathfinder","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pathfinder; Observatory; Spectrograph; Sky; Intensity mapping; Redshift; High dynamic range","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"],"consensus_categories":[],"category_scores_codex":[0.0001095969,0.000340592,0.0003992328,0.0003192431,0.0002447514,0.00004836987,0.0006252502,0.000241795,0.0004836503],"category_scores_gemma":[0.000002680384,0.0004226453,0.0002369408,0.0002150799,0.00009377591,0.0000869255,0.0004831989,0.000605921,0.0001585199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004075544,"about_ca_system_score_gemma":0.0003855801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09883747,"about_ca_topic_score_gemma":0.003907721,"domain_scores_codex":[0.9984294,0.00004790668,0.0002072109,0.0007780189,0.00004257859,0.0004948597],"domain_scores_gemma":[0.9985153,0.00001754359,0.0001924198,0.000889181,0.000111431,0.0002741028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002766556,0.0002628163,0.5807554,0.00004776763,0.001296186,0.0001753855,0.000458368,0.1191381,0.0002118097,0.2896934,0.002118092,0.005814937],"study_design_scores_gemma":[0.003996392,0.0002239074,0.05191481,0.0004980715,0.0007826889,0.00001467384,0.006505479,0.505747,0.007089232,0.2892698,0.1280507,0.005907232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291185,0.0000199404,0.06317773,0.0001788805,0.0002888835,0.0002873857,0.00005685084,0.00009492128,0.006776955],"genre_scores_gemma":[0.9980009,0.000002752925,0.0004018936,0.00007245174,0.0001940023,0.000004420874,0.0001645,0.0000298083,0.001129264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5288406,"threshold_uncertainty_score":0.9998226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04393665241673867,"score_gpt":0.1669181844390227,"score_spread":0.122981532022284,"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."}}