{"id":"W2971866495","doi":"10.1103/physrevd.100.095001","title":"Evaluating the price of tiny kinetic mixing","year":2019,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Abdus Salam International Centre for Theoretical Physics; L. Meltzers Høyskolefond; University of Minnesota; U.S. Department of Energy","keywords":"Mixing (physics); Kinetic energy; Economics; Thermodynamics; Physics; Classical mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002137987,0.0008560487,0.001136667,0.0009145148,0.001256537,0.003408759,0.001726819,0.001934839,0.006087006],"category_scores_gemma":[0.01067649,0.0004999338,0.000504821,0.0005438536,0.002609013,0.007390964,0.002426219,0.002765896,0.001111385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316998,"about_ca_system_score_gemma":0.0007925436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008343927,"about_ca_topic_score_gemma":0.0008595121,"domain_scores_codex":[0.9991074,0.0002306024,0.00003274767,0.0001748682,0.0003001299,0.0001541653],"domain_scores_gemma":[0.9972956,0.001513192,0.0003336237,0.0004082536,0.0002635227,0.0001858756],"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":[0.00006650465,0.00002538862,0.0007479968,0.0001617735,0.00003830359,0.0002383498,0.0001210007,0.004001107,0.002355003,0.9697656,0.001433376,0.02104549],"study_design_scores_gemma":[0.0000145337,0.00003419238,0.0004066104,0.00004542469,0.00001808387,0.000127554,0.00009205894,0.01247294,0.002363424,0.9774704,0.006930536,0.00002425917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2151981,0.0424208,0.3125653,0.05957785,0.002643236,0.00008848628,0.0003091535,0.001030051,0.366167],"genre_scores_gemma":[0.9468777,0.00791921,0.03043509,0.002626419,0.0008359971,0.00007973531,0.00008040039,0.000278636,0.01086691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006087006,"threshold_uncertainty_score":0.02036303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401578419891712,"score_gpt":0.4281419370549589,"score_spread":0.4041261528560418,"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."}}