{"id":"W7104457208","doi":"10.71781/17072","title":"Position measurement of the superCDMS HVeV detector and implementation of an importance sampling algorithm in the superCDMS simulation software","year":2023,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Detector; Software; Position (finance); Sampling (signal processing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008875449,0.0003897127,0.000442471,0.0005964146,0.0004396471,0.001058555,0.00131638,0.0006736934,0.00705864],"category_scores_gemma":[0.003383291,0.0004250533,0.0004427679,0.0006442413,0.0003553507,0.0007371844,0.0009821375,0.0008082958,0.001279709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007952414,"about_ca_system_score_gemma":0.001339187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005543497,"about_ca_topic_score_gemma":0.005997347,"domain_scores_codex":[0.999382,0.0001168757,0.0000250694,0.0000850176,0.0003408103,0.00005024484],"domain_scores_gemma":[0.9992539,0.0002655181,0.00005209415,0.0001421349,0.0002325356,0.00005376225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008574772,0.0001928729,0.02224675,0.0003954676,0.000115907,0.0004522592,0.001199284,0.537946,0.06831129,0.04579822,0.01447839,0.308006],"study_design_scores_gemma":[0.00003893318,0.00005046199,0.001792891,0.0000207271,0.00001046268,0.000065316,0.00008929289,0.959588,0.02369335,0.003734339,0.01088582,0.00003042198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07976519,0.0001254902,0.8984179,0.0002609044,0.0001844835,0.00009361696,0.0005349511,0.008119389,0.01249807],"genre_scores_gemma":[0.5440331,0.0001138061,0.446714,0.0001646729,0.0000271321,0.0001876968,0.001069689,0.00127578,0.006414189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00705864,"threshold_uncertainty_score":0.02361351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277122861815346,"score_gpt":0.2236320940440537,"score_spread":0.2108608654259003,"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."}}