{"id":"W2069988846","doi":"10.1103/physrevd.65.083002","title":"CMB power spectrum at<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>l</mml:mi><mml:mo>=</mml:mo><mml:mn>30</mml:mn><mml:mn/><mml:mo>–</mml:mo><mml:mn>200</mml:mn></mml:math>from QMASK","year":2002,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"David and Lucile Packard Foundation; National Science Foundation","keywords":"Cosmic microwave background; Physics; Scale (ratio); Spectral density; Algorithm; Astrophysics; Computer science; Statistics; Optics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007373416,0.0008223716,0.0008285288,0.0001103926,0.001159724,0.0004708445,0.0008938836,0.0007934003,0.0005627033],"category_scores_gemma":[0.0004770916,0.001066957,0.00123644,0.0007350661,0.001095355,0.000683315,0.000718054,0.001386938,0.001231359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001875271,"about_ca_system_score_gemma":0.0002306594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005205986,"about_ca_topic_score_gemma":0.0002014564,"domain_scores_codex":[0.9940017,0.0004029132,0.001621097,0.001529971,0.000857172,0.001587095],"domain_scores_gemma":[0.9953747,0.001214667,0.001194274,0.00128973,0.0001668282,0.0007597981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001813784,0.0008413985,0.0003696639,0.0009462701,0.0007339324,0.00008560189,0.0007773452,0.00007856049,0.00117536,0.9553135,0.02245589,0.0170411],"study_design_scores_gemma":[0.005112694,0.006891313,0.002069951,0.006992612,0.007777331,0.0003951456,0.002224359,0.1296037,0.1907701,0.5530289,0.0902679,0.004865937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813427,0.01132504,0.001166884,0.004276298,0.0005008567,0.000189342,0.0003875107,0.0001259893,0.0006853769],"genre_scores_gemma":[0.9829234,0.01043819,0.0009216839,0.00265705,0.001385895,0.0008485477,0.0005889998,0.0001858399,0.00005042626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4022846,"threshold_uncertainty_score":0.9995463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683532263900308,"score_gpt":0.2706420669943261,"score_spread":0.253806744355323,"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."}}