{"id":"W4385273323","doi":"10.3390/universe9080346","title":"Scintillating Bubble Chambers for Rare Event Searches","year":2023,"lang":"en","type":"article","venue":"Universe","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF; Université de Montréal; University of Alberta; Snolab; Queen's University","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Fermilab; U.S. Department of Energy; Division of Materials Research; Office of Science; Fundación Marcos Moshinsky; National Science Foundation","keywords":"Physics; Nuclear physics; Dark matter; Neutrino; Particle physics; Neutrino detector; Time projection chamber; Bubble chamber; Sterile neutrino; Fermilab; Weakly interacting massive particles; Electron; Neutrino oscillation; Astrophysics; Dark energy","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":[0.00007441009,0.00005902564,0.00006642217,0.00004186736,0.0001328566,0.00002502113,0.00007478984,0.000004683264,0.0001553387],"category_scores_gemma":[0.000001576291,0.00005965058,0.00005919674,0.0001379193,0.00002241397,0.00007040206,0.00007241677,0.00003731567,0.0001610388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001937929,"about_ca_system_score_gemma":0.00004078403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007516175,"about_ca_topic_score_gemma":0.000001433809,"domain_scores_codex":[0.9995689,0.000008358682,0.00005723854,0.0001157927,0.00005994941,0.0001897407],"domain_scores_gemma":[0.9997722,0.0000347331,0.0000217043,0.0001021176,0.00002311391,0.00004613433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001192258,0.0002046055,0.033535,0.0001759616,0.0004598885,0.00001822565,0.02158756,0.008458037,0.003790064,0.05471993,0.5880191,0.2889124],"study_design_scores_gemma":[0.004693924,0.0002066123,0.004614606,0.0001719225,0.00009524087,0.000001266955,0.06762059,0.03120817,0.001937779,0.2332739,0.655079,0.00109701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.781405,0.000005604795,0.005462312,0.0006864825,0.0002502966,0.0003696013,0.000137878,0.0001555037,0.2115274],"genre_scores_gemma":[0.9910121,3.726094e-7,0.0003359614,0.0000969844,0.00008475179,0.00000696748,0.00004278739,0.00001063389,0.008409456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2878154,"threshold_uncertainty_score":0.243248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194341002592785,"score_gpt":0.2593624832663109,"score_spread":0.237419073240383,"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."}}