{"id":"W1873167250","doi":"10.1093/acprof:oso/9780198728856.003.0004","title":"The cosmological constant problem: why it’s hard to get dark energy from microphysics","year":2015,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; McMaster University","funders":"Institut Périmètre de physique théorique; Industry Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Naturalness; Dark energy; Theoretical physics; Cosmology; Cosmological constant; Physics; Constant (computer programming); Confusion; Quintessence; Cosmological constant problem; Set (abstract data type); Computer science; Astrophysics; Particle physics; Psychology","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":[0.00154059,0.0004492658,0.0005295034,0.0009434224,0.001508527,0.002751643,0.0009951845,0.002179849,0.009530836],"category_scores_gemma":[0.003823601,0.0003267182,0.0004022491,0.000754474,0.008583043,0.007678021,0.001645859,0.004625611,0.002126657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926098,"about_ca_system_score_gemma":0.0008894666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775146,"about_ca_topic_score_gemma":0.001786738,"domain_scores_codex":[0.9995103,0.0001810589,0.00001702258,0.00008059909,0.0001762474,0.00003476645],"domain_scores_gemma":[0.9985968,0.0009260288,0.000058884,0.0001387671,0.0001904181,0.00008900263],"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":[0.000007031601,0.000006334869,0.0001044902,0.00008996887,0.00000525403,0.00005313821,0.0003818468,0.0003618533,0.0001295696,0.9567974,0.02779232,0.01427074],"study_design_scores_gemma":[0.000002986402,0.000003225361,0.0001350385,0.00007181952,0.000002597002,0.0000808865,0.0001296312,0.0006122648,0.00009728687,0.9298872,0.06896952,0.000007559865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02806233,0.1528956,0.07226746,0.2265954,0.006641583,0.00004336255,0.0003065017,0.000605175,0.5125825],"genre_scores_gemma":[0.6259926,0.07055648,0.04007664,0.03405346,0.008047847,0.0001604256,0.0003605789,0.0009722529,0.2197797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009530836,"threshold_uncertainty_score":0.03188384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431324336438997,"score_gpt":0.2128981397559015,"score_spread":0.1885848963915115,"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."}}