{"id":"W4404403263","doi":"10.1139/cjp-2024-0131","title":"Direct detection searches for dark matter particles using superheated bubble chambers and cryogenic liquid argon detectors","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Alberta","funders":"Alliance de recherche numérique du Canada; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Queen's University; Leibniz-Gemeinschaft; Ministry of Advanced Education, Government of Alberta; Canada First Research Excellence Fund; University of Alberta; Western Canada Research Grid","keywords":"Physics; Dark matter; Detector; Bubble; Bubble chamber; Superheating; Nuclear physics; Cryogenics; Argon; Astrophysics; Particle physics; Optics; Atomic physics; Mechanics; Condensed matter physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.00130894,0.0004690934,0.0005558745,0.001534517,0.0003422765,0.001243851,0.001126909,0.0004615757,0.002260058],"category_scores_gemma":[0.0009540079,0.0002811363,0.0004058799,0.0010966,0.0007923295,0.00103546,0.0005488974,0.0007192619,0.0005714031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168159,"about_ca_system_score_gemma":0.002014189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954171,"about_ca_topic_score_gemma":0.03098436,"domain_scores_codex":[0.9991301,0.00007981056,0.00002495812,0.0001459142,0.0005326195,0.00008652043],"domain_scores_gemma":[0.999184,0.0003026002,0.000114564,0.00003820877,0.0003115063,0.00004916262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007851832,0.0001069178,0.02953202,0.01092282,0.0004583512,0.001282932,0.0006521197,0.001481164,0.2147231,0.04319593,0.01545956,0.6813999],"study_design_scores_gemma":[0.00007655018,0.0005317791,0.03294913,0.00178222,0.000425686,0.003990863,0.0004590504,0.002033435,0.156153,0.004442314,0.7969486,0.0002072864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06401034,0.8538511,0.03047029,0.001958788,0.0005144418,0.0001530513,0.000951779,0.0004426981,0.0476475],"genre_scores_gemma":[0.2849502,0.6480297,0.0499371,0.001053635,0.0006057101,0.0001435149,0.001747183,0.0001378418,0.01339508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01954171,"threshold_uncertainty_score":0.03885591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002392980932357,"score_gpt":0.2356744133498766,"score_spread":0.2156504835405531,"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."}}