{"id":"W4245785721","doi":"10.1063/1.3590910","title":"Low Background Counting At SNOLAB","year":2011,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Snolab","funders":"University of Guelph","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002021883,0.0006793429,0.0008267719,0.005841487,0.002317787,0.002659566,0.002172224,0.001249041,0.01797756],"category_scores_gemma":[0.002409396,0.0006582381,0.0004254066,0.003642194,0.0004176531,0.001284339,0.002065576,0.001222683,0.01259827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648737,"about_ca_system_score_gemma":0.001144108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002688493,"about_ca_topic_score_gemma":0.008907952,"domain_scores_codex":[0.996876,0.0004364738,0.0001038445,0.0005298744,0.001796889,0.0002568517],"domain_scores_gemma":[0.9977764,0.0002957873,0.0001203946,0.0002547877,0.001377884,0.0001747582],"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":[0.002325831,0.0004424453,0.05216347,0.000804525,0.0002544451,0.001692972,0.0009875585,0.00244724,0.3567544,0.07473352,0.1386901,0.3687035],"study_design_scores_gemma":[0.0001097245,0.000518687,0.02049765,0.0002254298,0.0001593837,0.002768464,0.0003003441,0.01375142,0.4779233,0.008144978,0.4753674,0.000233266],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2827651,0.008514165,0.3463868,0.002923539,0.001713544,0.0004274323,0.01060678,0.02396104,0.3227017],"genre_scores_gemma":[0.4908735,0.002527863,0.3547351,0.001433343,0.0002596735,0.0004239953,0.01677952,0.003533574,0.1294334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01797756,"threshold_uncertainty_score":0.06014097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04392864322638799,"score_gpt":0.2677585608025587,"score_spread":0.2238299175761707,"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."}}