{"id":"W4251565752","doi":"10.2172/1092531","title":"Results for the Second Quarter 2013 Tank 50 WAC Slurry Sample: Chemical and Radionuclide Contaminants","year":2013,"lang":"en","type":"report","venue":"","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Savannah River National Laboratory; U.S. Department of Energy","keywords":"Slurry; Waste management; Radionuclide; Environmental science; Contamination; Quarter (Canadian coin); Characterization (materials science); Environmental engineering; Engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001761281,0.0007079314,0.001147748,0.002285694,0.002299209,0.001969974,0.0006722446,0.001110218,0.007920372],"category_scores_gemma":[0.00202411,0.0004273175,0.001292781,0.002207499,0.0004397247,0.0004776398,0.000835489,0.0008888312,0.006271691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004254065,"about_ca_system_score_gemma":0.006856926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0835139,"about_ca_topic_score_gemma":0.2072874,"domain_scores_codex":[0.9933995,0.0002374556,0.0003465088,0.0005541518,0.00503686,0.0004254843],"domain_scores_gemma":[0.9975799,0.00009658221,0.0001240016,0.0000767664,0.002058452,0.00006422513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00189135,0.001071502,0.05626101,0.0007349469,0.0001473847,0.0007092422,0.001397177,0.002179717,0.8431731,0.0005177348,0.02554601,0.0663709],"study_design_scores_gemma":[0.00004842025,0.0008008982,0.08016474,0.00008492478,0.0001317963,0.0003769494,0.001917359,0.001579966,0.8171735,0.000209853,0.09741424,0.00009728757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7558795,0.001087808,0.02823799,0.001016975,0.0004182635,0.00290811,0.08655397,0.001767342,0.1221301],"genre_scores_gemma":[0.6955035,0.00195956,0.04929254,0.001689027,0.00007952781,0.002519155,0.08557563,0.001179611,0.1622015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0835139,"threshold_uncertainty_score":0.1660556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255520179314465,"score_gpt":0.2491673515869727,"score_spread":0.226612149793828,"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."}}