{"id":"W1993822597","doi":"10.1063/1.3579561","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":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Snolab","funders":"","keywords":"Computer science","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":[0.002218579,0.0009234709,0.0007211514,0.005970666,0.002527257,0.003937518,0.001423233,0.001565496,0.1553638],"category_scores_gemma":[0.004585307,0.000549281,0.0006463379,0.002774792,0.0003922881,0.002063479,0.002406106,0.002330794,0.06499717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673522,"about_ca_system_score_gemma":0.0009045886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003493463,"about_ca_topic_score_gemma":0.008911498,"domain_scores_codex":[0.9982705,0.0002007819,0.00003806173,0.0002717405,0.0009578109,0.0002610628],"domain_scores_gemma":[0.9961919,0.0006417428,0.0002281101,0.0006133319,0.001582088,0.0007428589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001024482,0.0001067031,0.0159756,0.0003360098,0.00009413957,0.0009811234,0.0002262026,0.0006556373,0.008513793,0.0202943,0.7888486,0.1629435],"study_design_scores_gemma":[0.0001183062,0.0001634889,0.03267238,0.0004673944,0.0001746099,0.001767582,0.0002915258,0.008956181,0.03306937,0.0218751,0.9002373,0.0002067983],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03983847,0.003643057,0.05051303,0.01069189,0.003712417,0.0002585691,0.02734203,0.0380745,0.8259259],"genre_scores_gemma":[0.5103307,0.002303901,0.08592559,0.006760802,0.003181701,0.000423749,0.04701229,0.02243555,0.3216257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1553638,"threshold_uncertainty_score":0.5197436,"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."}}