{"id":"W2312627435","doi":"10.1144/1467-7873/09-226","title":"Determining the magnitude of true analytical error in geochemical analysis","year":2010,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Magnitude (astronomy); Geology; Statistics; Environmental science; Mathematics; Physics; Astrophysics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02133384,0.0009238427,0.0008955197,0.002266025,0.0007319095,0.002247775,0.001447577,0.00130462,0.0008236007],"category_scores_gemma":[0.0945287,0.0007116544,0.000456598,0.001862966,0.001414765,0.001842657,0.001883673,0.000905893,0.0006176561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139989,"about_ca_system_score_gemma":0.0009479054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268105,"about_ca_topic_score_gemma":0.001704854,"domain_scores_codex":[0.9600278,0.01398269,0.003246669,0.005484919,0.01663773,0.0006202292],"domain_scores_gemma":[0.8959873,0.06048668,0.00727463,0.01436508,0.02146675,0.000419507],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001836659,0.0004675532,0.1780339,0.001238396,0.001003259,0.0009921596,0.00175168,0.04938648,0.3025058,0.01658878,0.003772749,0.4424226],"study_design_scores_gemma":[0.00007763768,0.0008875288,0.07598603,0.0003199905,0.0004580042,0.002662045,0.0005697343,0.2302581,0.6448728,0.02736953,0.01623694,0.0003015411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2093355,0.002515072,0.7807682,0.0004696457,0.0004453825,0.0002918776,0.0005790575,0.001199243,0.004396122],"genre_scores_gemma":[0.6480463,0.0007256372,0.349113,0.000255069,0.00008647123,0.0002714171,0.0003862598,0.0001884176,0.0009274935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9786662,"threshold_uncertainty_score":0.1128255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695077174938418,"score_gpt":0.2336096383514021,"score_spread":0.2166588666020179,"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."}}