{"id":"W4280574275","doi":"10.1103/physrevd.106.122003","title":"Determining the bubble nucleation efficiency of low-energy nuclear recoils in superheated <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">C</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">F</mml:mi></mml:mrow><mml:mrow><mml:mn>8</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math> dark matter detectors","year":2022,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":10,"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; Nuclear Physics; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Natural Sciences and Engineering Research Council of Canada; Office of Science; Universidad Nacional Autónoma de México; Alliance de recherche numérique du Canada; České Vysoké Učení Technické v Praze; Department of Atomic Energy, Government of India; Kavli Foundation; Deutsche Forschungsgemeinschaft; Fundación Marcos Moshinsky; Fermilab; High Energy Physics; Ontario Ministry of Research and Innovation; Western Canada Research Grid; Consejo Nacional de Ciencia y Tecnología; Battelle; U.S. Department of Energy; Canada Foundation for Innovation; University of Chicago; National Science Foundation","keywords":"Physics; Nucleation; Recoil; Nuclear physics; Neutron; Superheating; Monte Carlo method; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000998236,0.0004615282,0.0004554941,0.0009892314,0.0003156601,0.000912366,0.0008588765,0.0004024206,0.005824818],"category_scores_gemma":[0.002018803,0.0005303293,0.0005847477,0.0005508791,0.0005145322,0.0007713436,0.0006370446,0.0006971632,0.001116804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302469,"about_ca_system_score_gemma":0.0002905731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005029917,"about_ca_topic_score_gemma":0.004595318,"domain_scores_codex":[0.9994226,0.00008341874,0.00001704645,0.0001575723,0.0001697138,0.0001497897],"domain_scores_gemma":[0.9983184,0.0009333719,0.0002429957,0.0001365987,0.0002190774,0.0001495242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004297659,0.0003675087,0.08427949,0.0006539194,0.0006224352,0.0007870623,0.0007480961,0.02961156,0.8252864,0.01345811,0.005277159,0.03461065],"study_design_scores_gemma":[0.00005732009,0.0002512335,0.02453622,0.00002798512,0.0001082954,0.0001040551,0.00009484832,0.04314649,0.9288262,0.0006723361,0.002125542,0.00004942168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521081,0.001400591,0.02939604,0.0001181147,0.00004003441,0.00007947956,0.002006752,0.00132083,0.01353006],"genre_scores_gemma":[0.9920591,0.0003230361,0.003564644,0.00005039314,0.000009126519,0.00003844189,0.001520407,0.0003372567,0.002097625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005824818,"threshold_uncertainty_score":0.01948589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222055373173223,"score_gpt":0.2653986178037169,"score_spread":0.2531780640719847,"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."}}