{"id":"W1755254156","doi":"10.1111/j.1365-2966.2005.09519.x","title":"Cosmic microwave background observations from the Cosmic Background Imager and Very Small Array: a comparison of coincident maps and parameter estimation methods","year":2005,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Theoretical Astrophysics","funders":"","keywords":"Cosmic microwave background; Physics; Cosmic variance; COSMIC cancer database; Cosmic background radiation; Monte Carlo method; Astrophysics; Calibration; Optics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006678959,0.0004004478,0.0006016814,0.003005562,0.0003616261,0.001818939,0.001049449,0.0006531498,0.0009477762],"category_scores_gemma":[0.01653864,0.0006237176,0.0005118999,0.003243982,0.0003680161,0.001615681,0.001460387,0.0004427048,0.0005686008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003421822,"about_ca_system_score_gemma":0.0003535704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350044,"about_ca_topic_score_gemma":0.001771099,"domain_scores_codex":[0.9960495,0.001944395,0.0001559269,0.0005511658,0.001140433,0.0001585791],"domain_scores_gemma":[0.9932989,0.002476698,0.0007977228,0.002266429,0.0009712217,0.0001890204],"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":[0.003344901,0.0002865555,0.2508423,0.0006433698,0.001076638,0.0003827077,0.001318858,0.03315798,0.01686953,0.02348693,0.003569819,0.6650203],"study_design_scores_gemma":[0.0003374019,0.0007032058,0.813906,0.0002217639,0.0004937742,0.001624855,0.0008375477,0.1304648,0.01855081,0.01740216,0.01518964,0.0002680514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6378235,0.003997256,0.3382273,0.0002573455,0.0001338584,0.0001467104,0.002455676,0.001226614,0.01573185],"genre_scores_gemma":[0.8253666,0.001219425,0.1666172,0.00005104924,0.000101083,0.0001258663,0.004789579,0.0004602563,0.00126895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006678959,"threshold_uncertainty_score":0.03532213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123500563796706,"score_gpt":0.2881672807879202,"score_spread":0.2569322751499531,"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."}}