{"id":"W2267567204","doi":"10.1103/physrevd.95.063011","title":"Testing physical models for dipolar asymmetry: From temperature to<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>k</mml:mi></mml:mrow></mml:math>space to lensing","year":2017,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Cosmic microwave background; Planck; Asymmetry; Physics; Cosmic background radiation; Dipole; Polarization (electrochemistry); Scalar (mathematics); Statistical physics; Astrophysics; Anisotropy; Particle physics; Optics; Quantum mechanics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004137818,0.0008169016,0.0009926585,0.0009937084,0.0002930094,0.00207044,0.001717815,0.00125572,0.001813675],"category_scores_gemma":[0.01573421,0.000281692,0.0007373049,0.001016273,0.002910862,0.002157198,0.0006806666,0.001481243,0.0006107099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578572,"about_ca_system_score_gemma":0.0009274499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002590631,"about_ca_topic_score_gemma":0.001586671,"domain_scores_codex":[0.9980111,0.001281547,0.0000538369,0.0002147764,0.0003511722,0.00008749566],"domain_scores_gemma":[0.9918101,0.005215351,0.001181082,0.0007862998,0.0007643985,0.0002427779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004303175,0.000170229,0.051131,0.001272226,0.001052928,0.0005928329,0.0003399232,0.04825784,0.004899221,0.771127,0.00915016,0.1115763],"study_design_scores_gemma":[0.0001721299,0.0005363956,0.06119869,0.0003910387,0.0006646906,0.0006739683,0.0007939912,0.08433896,0.004877619,0.8290688,0.0171237,0.0001602202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.694912,0.08303712,0.1115944,0.02754003,0.0008968312,0.0001260216,0.00111189,0.0006114108,0.08017033],"genre_scores_gemma":[0.9815519,0.009424596,0.006841601,0.0005895765,0.0001610526,0.00004818527,0.0001656049,0.0000493454,0.001168173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004137818,"threshold_uncertainty_score":0.02188313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247739927846938,"score_gpt":0.3381947503369589,"score_spread":0.3157173510584895,"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."}}