{"id":"W4386461469","doi":"10.1103/physrevd.108.062003","title":"Search for inelastic dark matter-nucleus scattering with the PICO-60 <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>CF</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mi mathvariant=\"normal\">I</mml:mi></mml:mrow></mml:math> and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">C</mml:mi></mml:mrow><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant=\"normal\">F</mml:mi><mml:mn>8</mml:mn></mml:msub></mml:math> bubble chambers","year":2023,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université de Montréal; Laurentian University; University of Alberta; Snolab; Queen's University","funders":"Pacific Northwest National Laboratory; Fermilab; High Energy Physics; Saha Institute of Nuclear Physics, Department of Atomic Energy, Government of India; Office of Science; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Natural Sciences and Engineering Research Council of Canada; Kavli Institute for Cosmological Physics, University of Chicago; České Vysoké Učení Technické v Praze; Department of Atomic Energy, Government of India; Canada Foundation for Innovation; Kavli Foundation; U.S. Department of Energy; Fundación Marcos Moshinsky; Consejo Nacional de Ciencia y Tecnología; National Science Foundation","keywords":"Physics; Inelastic scattering; Energy (signal processing); Particle physics; Inelastic collision; Dark matter; Sensitivity (control systems); Scattering; Atomic physics; Recoil; Nuclear physics; Quantum mechanics","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":[0.001037013,0.0006684701,0.0006066135,0.001919743,0.001326451,0.001835426,0.0007538343,0.0005727619,0.02058812],"category_scores_gemma":[0.001061388,0.000665499,0.001374838,0.002070594,0.0002511365,0.0004308741,0.0009291808,0.0006661942,0.004144852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009379928,"about_ca_system_score_gemma":0.001056081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00718716,"about_ca_topic_score_gemma":0.012895,"domain_scores_codex":[0.999557,0.00005641095,0.0000120947,0.00006753555,0.0001484916,0.0001584647],"domain_scores_gemma":[0.9994961,0.0001244442,0.00005808619,0.00007895007,0.00008461814,0.0001577762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005377644,0.0007641723,0.3958471,0.001029221,0.001922891,0.00542107,0.001475788,0.04854247,0.1192969,0.1483066,0.1480348,0.1239813],"study_design_scores_gemma":[0.0007646816,0.0005979394,0.2703996,0.0002522724,0.0009258126,0.001509962,0.00127099,0.4718928,0.1306923,0.04583117,0.07555352,0.0003089168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7915126,0.0009778251,0.04048398,0.002304784,0.0002627721,0.0001644892,0.01283441,0.006270878,0.1451883],"genre_scores_gemma":[0.9540657,0.000268813,0.01326254,0.0006063054,0.00004474362,0.00009825108,0.01452219,0.0008892491,0.01624211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02058812,"threshold_uncertainty_score":0.06887418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611529407194957,"score_gpt":0.2753062416764181,"score_spread":0.2591909476044685,"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."}}