{"id":"W2074235258","doi":"10.1088/1475-7516/2011/04/032","title":"How to generate a significant effective temperature for cold dark matter, from first principles","year":2011,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Institute for Theoretical Astrophysics","funders":"","keywords":"Renormalization; Dispersion (optics); Perturbation theory (quantum mechanics); Perturbation (astronomy); Power law; Dark matter; Spectral density; Cold dark matter","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":[0.0001136075,0.0001536246,0.0003002412,0.00002593785,0.0001162861,0.0000617477,0.0001464331,0.00001694228,0.00001179245],"category_scores_gemma":[0.000004707999,0.0001253609,0.00009562261,0.0000682156,0.00006160734,0.0001708718,0.00005132192,0.0001489991,0.000006707268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001357062,"about_ca_system_score_gemma":0.00003230295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001954558,"about_ca_topic_score_gemma":0.00000107197,"domain_scores_codex":[0.9992391,0.00004329305,0.0002249671,0.0001674836,0.00007823954,0.0002468508],"domain_scores_gemma":[0.9992985,0.00009216532,0.0002006427,0.0001318039,0.0001229226,0.0001539523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001839394,0.00152499,0.5238324,0.00005741357,0.001340493,0.00003110132,0.004837537,0.0005424439,0.3985656,0.02506791,0.02876767,0.01359308],"study_design_scores_gemma":[0.00490605,0.002344263,0.1202451,0.0001190799,0.0004398883,0.00001278443,0.001174472,0.0001976955,0.3816748,0.4857723,0.002442414,0.0006711892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583653,0.00003635597,0.04035617,0.0005709353,0.0001681651,0.0002432355,0.00008920722,0.000005024561,0.0001656395],"genre_scores_gemma":[0.9950858,8.221291e-7,0.003795482,0.0005772659,0.0004138731,0.0000426724,0.000004177224,0.00001583269,0.00006401354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4607044,"threshold_uncertainty_score":0.5112069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680078672430126,"score_gpt":0.2171104766015313,"score_spread":0.20030968987723,"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."}}