{"id":"W1994617658","doi":"10.1007/s10967-007-6870-3","title":"Determination of 226Ra in sediments by ICP-MS: A comparative study of three sample preparation approaches","year":2007,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Chromatography; Isotope dilution; Chemistry; Sediment; Matrix (chemical analysis); Sample preparation; Dilution; Extraction (chemistry); Polyatomic ion; Ion chromatography; Yield (engineering); Analytical Chemistry (journal); Mass spectrometry; Environmental chemistry; Ion; Geology; Materials 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368307,0.0001073693,0.0004715773,0.00007845586,0.00008292026,0.000004374693,0.0001144234,0.0001333029,0.0000749172],"category_scores_gemma":[0.0001694646,0.00008714323,0.00006105577,0.0001683707,0.00009589839,0.000153809,0.00002815047,0.0004355161,6.546421e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158907,"about_ca_system_score_gemma":0.0000574012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004311397,"about_ca_topic_score_gemma":0.00003637595,"domain_scores_codex":[0.9982427,0.0001197329,0.0008899461,0.0001294225,0.0004416047,0.0001765347],"domain_scores_gemma":[0.9985589,0.0003654006,0.0007066783,0.0001115953,0.0001424837,0.0001149744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00880682,0.01369244,0.7109074,0.002281134,0.001185732,0.00005262319,0.05487509,0.00009304879,0.1948759,0.0001378251,0.003916567,0.009175381],"study_design_scores_gemma":[0.04469998,0.00855427,0.6616749,0.003096892,0.001952516,0.0001790125,0.1478942,0.04890094,0.07353727,0.00210449,0.005829119,0.001576499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997245,0.00008391353,0.0008173974,0.00007819371,0.0000419941,0.0002159411,0.000006859313,0.000003054523,0.001507645],"genre_scores_gemma":[0.9990316,0.00001652132,0.0008251363,0.00001669224,0.00006644758,0.000001183631,0.000001715284,0.000007555827,0.00003317311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1213387,"threshold_uncertainty_score":0.3553598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255563917206953,"score_gpt":0.3900089918159392,"score_spread":0.264452600095244,"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."}}