{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002022134,0.0009202536,0.0009853505,0.00205105,0.0005917174,0.001832017,0.002098964,0.001096526,0.02192616],"category_scores_gemma":[0.003425265,0.0006990893,0.0005841063,0.001718636,0.0004784457,0.002143243,0.001644843,0.0009658429,0.005707322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097649,"about_ca_system_score_gemma":0.001122326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262469,"about_ca_topic_score_gemma":0.003476887,"domain_scores_codex":[0.9983608,0.0002436279,0.00004720935,0.0002841223,0.0008452868,0.0002189468],"domain_scores_gemma":[0.9971682,0.00107219,0.0003915514,0.0003481423,0.0007229788,0.0002968877],"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":[0.004219042,0.0002708687,0.01549695,0.001220572,0.0003989605,0.001431941,0.0002806138,0.007146967,0.5377822,0.1041347,0.0647926,0.2628246],"study_design_scores_gemma":[0.0007450294,0.001267974,0.009683953,0.000343998,0.0003256799,0.00345468,0.0001487458,0.09962652,0.4630958,0.02244377,0.3984893,0.0003746387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1131089,0.01464427,0.6932195,0.002341664,0.001373369,0.0009286945,0.01121624,0.0313075,0.1318598],"genre_scores_gemma":[0.593417,0.003623099,0.3560789,0.001564469,0.0005169124,0.000757848,0.0125926,0.00397154,0.02747767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02192616,"threshold_uncertainty_score":0.07335031,"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."}}