{"id":"W2107668166","doi":"10.1016/j.physletb.2015.11.001","title":"Big bang darkleosynthesis","year":2015,"lang":"en","type":"article","venue":"Physics Letters B","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Perimeter Institute","funders":"Institut Périmètre de physique théorique; Industry Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Physics; Dark matter; Particle physics; Hidden sector; Parameter space; Population; Standard Model (mathematical formulation); Quantum chromodynamics; Weakly interacting massive particles; Nucleosynthesis; Big Bang nucleosynthesis; Gauge boson; Nuclear physics; Scalar field dark matter; Astrophysics; Cosmology; Gauge theory; Gauge (firearms); Dark energy; Nuclear reaction; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000768078,0.0001388895,0.000144764,0.00002150007,0.00005139986,0.00005967656,0.0001977856,0.000003948148,0.00002954152],"category_scores_gemma":[0.000001483377,0.0001341332,0.00008140597,0.0001142673,0.00003696701,0.0001323218,0.00006360325,0.00009349304,0.0003827122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002340618,"about_ca_system_score_gemma":0.00002973951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009858859,"about_ca_topic_score_gemma":3.08311e-7,"domain_scores_codex":[0.9992459,0.00002832249,0.0001146268,0.0001922835,0.0001669814,0.0002518849],"domain_scores_gemma":[0.9995021,0.00002668383,0.00004904299,0.0002783214,0.00002550965,0.0001183605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003429834,0.0004139958,0.04940103,0.0000205562,0.0003254906,0.000007668368,0.002444709,0.0003319956,0.03320977,0.01687381,0.5421468,0.3547899],"study_design_scores_gemma":[0.003197874,0.00008933971,0.004022124,0.00007727508,0.0002340384,0.000002554006,0.001532576,0.0004833913,0.02663431,0.8340797,0.1275086,0.002138214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5569962,0.00003144809,0.1436435,0.004657281,0.0008607885,0.0001932046,0.00006332503,0.0001462364,0.293408],"genre_scores_gemma":[0.9902891,1.189187e-7,0.0003204739,0.007992203,0.00115747,0.00002014614,0.00002216705,0.00002289927,0.000175446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8172058,"threshold_uncertainty_score":0.5469793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603778934620157,"score_gpt":0.2242948492983212,"score_spread":0.1982570599521197,"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."}}