{"id":"W2807173656","doi":"10.1140/epjc/s10052-018-6202-5","title":"Analysis of cryogenic calorimeters with light and heat read-out for double beta decay searches","year":2018,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"FP7 Ideas: European Research Council; Agence Nationale de la Recherche; European Commission","keywords":"Double beta decay; Detector; Calorimeter (particle physics); BETA (programming language); Scintillation; Scintillator; Liquid scintillation counting; Spurious relationship","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001598022,0.001206266,0.00078505,0.001367765,0.0004372731,0.001435628,0.001212325,0.0004876123,0.002815854],"category_scores_gemma":[0.004643547,0.0006205264,0.0009355396,0.001263336,0.000399305,0.0008152669,0.0007713513,0.0007157111,0.0008942859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043048,"about_ca_system_score_gemma":0.001194243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003197915,"about_ca_topic_score_gemma":0.002834525,"domain_scores_codex":[0.9987452,0.0002164867,0.00009664303,0.0002565979,0.0005248173,0.0001602255],"domain_scores_gemma":[0.9983125,0.0006897853,0.0002478727,0.0002923728,0.000376757,0.00008071082],"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":[0.00512876,0.0005447672,0.1289526,0.001029916,0.001166767,0.001772263,0.001410701,0.2666883,0.2158717,0.02557553,0.01677876,0.33508],"study_design_scores_gemma":[0.0001251723,0.0001265734,0.01641723,0.00004738331,0.0001354917,0.0002027437,0.0001464509,0.7579361,0.2063542,0.004311169,0.01408985,0.0001076958],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3602544,0.0004774585,0.5592881,0.0001618409,0.0001200325,0.0001686748,0.003256703,0.07229701,0.003975842],"genre_scores_gemma":[0.7742237,0.0001833273,0.2152637,0.00008867904,0.0000291903,0.0002430725,0.003619327,0.00482745,0.001521433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003197915,"threshold_uncertainty_score":0.009419918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04408636945662824,"score_gpt":0.3195009247436613,"score_spread":0.2754145552870331,"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."}}