{"id":"W2152031751","doi":"10.1109/nssmic.2000.949978","title":"A control and data acquisition system for a large volume superheated droplet detector","year":2002,"lang":"en","type":"article","venue":"2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149)","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Detector; Weakly interacting massive particles; Physics; Data acquisition; Modular design; Volume (thermodynamics); Dark matter; Superheating; Sensitivity (control systems); Nuclear physics; Particle physics; Optics; Computer science; Electronic engineering; Engineering; Astrophysics","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":[0.001761454,0.0009786162,0.001178711,0.001596091,0.001084057,0.001442347,0.002870583,0.001003887,0.02976505],"category_scores_gemma":[0.002311475,0.0006870794,0.0003602198,0.0009743571,0.0006315633,0.00163668,0.001381384,0.00145636,0.008842991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009936222,"about_ca_system_score_gemma":0.001580145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493466,"about_ca_topic_score_gemma":0.0008066922,"domain_scores_codex":[0.9982435,0.0001492408,0.0001242938,0.0005575251,0.0007717803,0.0001537245],"domain_scores_gemma":[0.9973959,0.00053653,0.0001623576,0.0005058908,0.0009944338,0.0004047645],"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":[0.003662824,0.0009347989,0.01027763,0.000534549,0.00017933,0.0007156652,0.0006729236,0.004610543,0.6191548,0.01940052,0.0612582,0.2785983],"study_design_scores_gemma":[0.001179195,0.002398659,0.006422866,0.0000955167,0.0002265316,0.002070733,0.0001022976,0.2073369,0.4868974,0.003971351,0.2888505,0.0004478889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04862297,0.0005045436,0.8697873,0.0006747703,0.0007731197,0.003149983,0.002797008,0.05781997,0.01587026],"genre_scores_gemma":[0.4303524,0.0003997061,0.5172743,0.001885535,0.0008032045,0.004863426,0.005401547,0.002896934,0.03612302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02976505,"threshold_uncertainty_score":0.09957397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641903479624197,"score_gpt":0.2308600726889128,"score_spread":0.2144410378926709,"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."}}