{"id":"W1982805766","doi":"10.1111/j.1751-908x.2010.00932.x","title":"GGR Biennial Review: Atomic Absorption, Inductively Coupled Plasma‐Atomic Emission Spectrometry, Neutron Activation Analysis and X‐Ray Fluorescence Spectrometry Review for 2008–2009","year":2010,"lang":"en","type":"article","venue":"Geostandards and Geoanalytical Research","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Neutron activation analysis; Sample preparation; Chemistry; Analytical Chemistry (journal); Analyte; Mass spectrometry; Atomic absorption spectroscopy; Neutron activation; Fluorescence spectrometry; Inductively coupled plasma mass spectrometry; Radiochemistry; Environmental chemistry; Chromatography; Neutron; Fluorescence; Physics; Nuclear physics","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006456051,0.0005032932,0.001289692,0.0006200057,0.0005052038,0.0001862684,0.000489324,0.0004250765,0.002352626],"category_scores_gemma":[0.008731444,0.0004284434,0.0003419502,0.002858272,0.0006996973,0.000209647,0.0003549868,0.001906297,0.00001355272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004480848,"about_ca_system_score_gemma":0.0005023098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008341546,"about_ca_topic_score_gemma":0.00002227454,"domain_scores_codex":[0.9943374,0.0001688573,0.001018606,0.001406511,0.001828826,0.001239809],"domain_scores_gemma":[0.995241,0.001558983,0.0002548032,0.0008149921,0.001227196,0.0009030061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001320606,0.00042657,0.00829675,0.01696724,0.001816409,0.00003913278,0.00007083604,0.000001036404,0.9256384,0.001411252,0.01199219,0.03201963],"study_design_scores_gemma":[0.01239624,0.001332637,0.1290445,0.0266632,0.01226371,0.0003544129,0.0006627818,0.08113176,0.5499787,0.0198864,0.1594164,0.006869177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193649,0.03277835,0.02245901,0.01990875,0.0001355051,0.002170839,0.0006314107,0.0002035296,0.002347743],"genre_scores_gemma":[0.7366594,0.1926148,0.06298366,0.0009295543,0.001136422,0.0003435188,0.0007312895,0.0001874569,0.004413875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3756596,"threshold_uncertainty_score":0.9998167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372020580126522,"score_gpt":0.3740210614248283,"score_spread":0.3403008556235631,"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."}}