{"id":"W4389613848","doi":"10.22323/1.441.0303","title":"Low Background Measurement Program at SNOLAB","year":2023,"lang":"en","type":"article","venue":"","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Snolab","funders":"","keywords":"Measure (data warehouse); Event (particle physics); Computer science; Electromagnetic shielding; Detector; Physics; Data mining; Telecommunications; 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":[0.004131523,0.0008612145,0.0007727105,0.004653442,0.00235418,0.002592986,0.002496033,0.0009739613,0.03116432],"category_scores_gemma":[0.00304737,0.0007919605,0.0003516771,0.003297491,0.0005622266,0.001381935,0.001862926,0.001801955,0.01698235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268194,"about_ca_system_score_gemma":0.003734462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008938888,"about_ca_topic_score_gemma":0.01475269,"domain_scores_codex":[0.9970775,0.0004901972,0.00005314419,0.0005093918,0.001636536,0.0002333626],"domain_scores_gemma":[0.9952022,0.0005412566,0.0002401418,0.0005868249,0.002882352,0.0005473308],"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":[0.003023699,0.001482021,0.05040708,0.0005968573,0.0002171606,0.0009707033,0.0009592104,0.003770447,0.1424421,0.0635385,0.312986,0.4196061],"study_design_scores_gemma":[0.0004203483,0.0008602946,0.02326573,0.0001377655,0.0001019729,0.000633207,0.0003206112,0.01991893,0.1209703,0.00575145,0.8274392,0.0001803194],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1719791,0.002208199,0.2964312,0.006817363,0.001309152,0.002068756,0.05083359,0.0565812,0.4117714],"genre_scores_gemma":[0.3565275,0.001210604,0.3885171,0.003049584,0.0003804574,0.002571396,0.05137657,0.007964568,0.1884023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03116432,"threshold_uncertainty_score":0.104255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451601286957248,"score_gpt":0.2642384001719716,"score_spread":0.2297223873023991,"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."}}