{"id":"W2605748475","doi":"10.1088/1674-4527/17/6/49","title":"Blind search for 21-cm absorption systems using a new generation of Chinese radio telescopes","year":2017,"lang":"en","type":"article","venue":"Research in Astronomy and Astrophysics","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Canadian Institute for Theoretical Astrophysics; Perimeter Institute; University of Toronto","funders":"","keywords":"Radio telescope; Absorption (acoustics); Physics; Telescope; Radio astronomy; Aperture (computer memory); Astronomy; Cosmology; Remote sensing; Optics; Aperture synthesis; Astrophysics; Interferometry; Geography; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000566745,0.0001999885,0.0003772324,0.0002772577,0.0005873757,0.0002906249,0.0004181249,0.00007428123,0.00001502946],"category_scores_gemma":[0.00001131409,0.0001937101,0.0000904575,0.0001973035,0.0002825484,0.0005407239,0.000174848,0.0003676571,0.000003201523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006889633,"about_ca_system_score_gemma":0.0003072833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001726292,"about_ca_topic_score_gemma":0.00001147591,"domain_scores_codex":[0.9983365,0.00009252646,0.0003840877,0.000402937,0.0002366347,0.0005473203],"domain_scores_gemma":[0.9987888,0.00008564279,0.0002115975,0.0005859607,0.0001969292,0.0001310649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001386668,0.000332189,0.2700859,0.00007679602,0.0001343733,0.000001147847,0.0001616919,0.01091354,0.02727585,0.04923556,0.0000735478,0.6415707],"study_design_scores_gemma":[0.03511981,0.00348916,0.3004314,0.00124782,0.0002255243,0.00001596573,0.006118677,0.5096267,0.06284608,0.01956323,0.05832739,0.002988309],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6649324,0.00006070317,0.3339614,0.00009120455,0.00007967139,0.0006950055,0.00004890522,0.00000709863,0.0001236432],"genre_scores_gemma":[0.9246023,0.00000494546,0.07405561,5.470075e-7,0.00103413,0.0001207585,0.00006641739,0.00002473901,0.00009052468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6385824,"threshold_uncertainty_score":0.7899268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286131246977076,"score_gpt":0.3739084785234886,"score_spread":0.245295353825781,"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."}}