{"id":"W2550924904","doi":"10.1051/0004-6361/201629992e","title":"Statistical simulations of the dust foreground to cosmic microwave background polarization <i>(Corrigendum)</i>","year":2018,"lang":"en","type":"erratum","venue":"Astronomy and Astrophysics","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Physics; Cosmic microwave background; Astrophysics; Planck; Polarization (electrochemistry); Galactic plane; Polarization in astronomy; Spectral density; Stokes parameters; Anisotropy; Magnetic field; Galaxy; Circular polarization; Optics; Scattering; Quantum mechanics","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":[0.00007970228,0.0002932724,0.0003280118,0.00005073592,0.0003253358,0.0001171111,0.0003069088,0.0001338838,0.0001823092],"category_scores_gemma":[0.00001137913,0.0002331345,0.00009338841,0.0002350497,0.0001990778,0.0001411746,0.00006105833,0.0003752733,0.00007189619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001154826,"about_ca_system_score_gemma":0.0001972177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028907,"about_ca_topic_score_gemma":0.0009363284,"domain_scores_codex":[0.9985242,0.00007606428,0.0003104415,0.0003791089,0.0003550589,0.0003551634],"domain_scores_gemma":[0.9990517,0.00004643452,0.0002460958,0.0003598238,0.0001460362,0.0001498418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001890969,0.0003555544,0.1779549,0.0003122105,0.0006418283,0.000003568545,0.0005200115,0.003314576,0.001387677,0.002901754,0.3467954,0.4656234],"study_design_scores_gemma":[0.0005334456,0.0006051918,0.5762824,0.0002208895,0.0003081569,0.000002520018,0.000196521,0.001595176,0.0002526383,0.004177495,0.4151618,0.0006637783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4090152,0.0002954468,0.5345961,0.0003482404,0.0260931,0.002251385,0.01826843,0.00005017501,0.00908197],"genre_scores_gemma":[0.9673997,0.000004509915,0.01899923,0.000153515,0.00158909,0.000002196055,0.00445389,0.00002238778,0.007375456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5583845,"threshold_uncertainty_score":0.9506949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229615489330569,"score_gpt":0.2191744166186304,"score_spread":0.1962128676855734,"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."}}