{"id":"W6929305869","doi":"10.48550/arxiv.1406.2267","title":"Calibrating CHIME, A New Radio Interferometer to Probe Dark Energy","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observatory; Calibration; Interferometry; Pathfinder; Redshift; Dark energy; Intensity mapping; Range (aeronautics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001504721,0.0006322992,0.0003646238,0.001254622,0.0008438174,0.001041507,0.0009623276,0.0007929534,0.001712646],"category_scores_gemma":[0.001641168,0.000370361,0.0002007835,0.0008620857,0.0008935317,0.0007544506,0.001079314,0.0009654476,0.0007281184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554953,"about_ca_system_score_gemma":0.002362352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03467764,"about_ca_topic_score_gemma":0.08030052,"domain_scores_codex":[0.9989341,0.00005741326,0.00001992407,0.0002567884,0.0005680491,0.0001637443],"domain_scores_gemma":[0.9992331,0.00007282557,0.00008690482,0.0001463097,0.0003260459,0.0001347786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003326505,0.0001977954,0.05735097,0.0001380197,0.00009012508,0.0001697268,0.0003623737,0.002777058,0.7723519,0.007547528,0.0158348,0.1428471],"study_design_scores_gemma":[0.0002459458,0.0006658427,0.185088,0.00006005989,0.0001436554,0.001385812,0.0003575385,0.04548355,0.5811272,0.003964651,0.1812275,0.000250239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5534383,0.002412672,0.3649275,0.002428015,0.0007188587,0.001290526,0.007526587,0.01236975,0.05488773],"genre_scores_gemma":[0.5877105,0.0009466955,0.3857433,0.001889076,0.0002302518,0.0005204708,0.00593243,0.0005205726,0.01650671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03467764,"threshold_uncertainty_score":0.06895155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08107215468590594,"score_gpt":0.2277909854396102,"score_spread":0.1467188307537043,"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."}}