{"id":"W4392974127","doi":"10.1093/mnras/stae592","title":"Correction to: Recovering the wedge modes lost to 21-cm foregrounds","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; Bishop's University","funders":"","keywords":"Physics; Wedge (geometry); Astronomy; Optics","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":[0.0001678529,0.0001520772,0.0001890412,0.0000157912,0.00008607883,0.00008747131,0.0004142686,0.00009869601,0.00003456004],"category_scores_gemma":[0.00003251864,0.00009406781,0.0002726152,0.000169645,0.00006106813,0.00006342203,0.0001984519,0.0003106444,0.00009856955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002069183,"about_ca_system_score_gemma":0.00001151024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002733679,"about_ca_topic_score_gemma":0.0001294888,"domain_scores_codex":[0.9991444,0.00001699149,0.0002397475,0.0001989682,0.0001101345,0.0002897471],"domain_scores_gemma":[0.9994395,0.0001588258,0.00002063054,0.0002888015,0.00001526141,0.00007693935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007512078,0.00001063857,0.0006125685,0.00004243431,0.00007622963,6.910817e-8,0.0002222151,0.9769754,0.0001980767,0.000184273,0.01817283,0.003497788],"study_design_scores_gemma":[0.00005811505,0.00005061218,0.006958041,0.0001026721,0.00003174914,3.244859e-8,0.0002736034,0.9711385,0.001359202,0.00001832046,0.01989308,0.0001161106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908956,0.0001825241,0.002176189,0.001306556,0.002292922,0.0002925943,0.00002495231,0.0001927434,0.002635943],"genre_scores_gemma":[0.9973406,1.825222e-7,0.001161182,0.00003892414,0.0002331991,0.00003006862,0.000001390742,0.00002849464,0.001165913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006445069,"threshold_uncertainty_score":0.3835974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006222994756412539,"score_gpt":0.1944785740343911,"score_spread":0.1882555792779785,"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."}}