{"id":"W4237268284","doi":"10.1109/nssmic.1998.774290","title":"Neutron response functions for superheated droplet detectors","year":2002,"lang":"en","type":"article","venue":"1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255)","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Superheating; Detector; Neutron; Neutron detection; Energy (signal processing); Nuclear physics; Function (biology); Physics; Particle detector; Computational physics; Materials science; Optics; Thermodynamics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.002791906,0.001091787,0.001036016,0.0008809048,0.004468238,0.002609733,0.003539672,0.0002667493,0.001446957],"category_scores_gemma":[0.0002059667,0.001041361,0.0004042925,0.002559448,0.008160066,0.003003017,0.0006370936,0.0009446443,0.001972847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003942022,"about_ca_system_score_gemma":0.00171304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008844337,"about_ca_topic_score_gemma":0.00002763651,"domain_scores_codex":[0.9901521,0.0002420952,0.00125583,0.003043774,0.002488844,0.002817312],"domain_scores_gemma":[0.9935449,0.0004422873,0.0005624779,0.001772358,0.001211601,0.0024664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001512216,0.0005038529,0.0007379142,0.00004666416,0.0000378145,0.000007261721,0.002043315,0.0000266353,0.9645844,0.005944675,0.002408857,0.02350739],"study_design_scores_gemma":[0.001694462,0.0005699563,0.001073771,0.0003194949,0.00014385,0.0000538481,0.002196662,0.9529621,0.002900498,0.0005864215,0.03589933,0.001599627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773116,0.000004237585,0.00168548,0.006055455,0.003116563,0.001351945,0.0002194186,0.0005165568,0.009738794],"genre_scores_gemma":[0.9894155,0.0002223893,0.006884991,0.0009638538,0.0009256872,0.0001577118,0.00001666014,0.0001784613,0.001234742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9616839,"threshold_uncertainty_score":0.9994659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350013858799199,"score_gpt":0.2481330877804131,"score_spread":0.2346329491924211,"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."}}