{"id":"W2024495542","doi":"10.1007/s10967-014-3025-1","title":"The NAA method at Polytechnique Montreal: an efficient alternative way to use the k 0 NAA models","year":2014,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Chemistry; Environmental science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003908403,0.0001378686,0.0002065782,0.00001305279,0.0003624484,0.0001603181,0.000350185,0.00003483281,0.00005488022],"category_scores_gemma":[0.00001595786,0.00007592294,0.0001579745,0.00009679453,0.0001119548,0.00008054882,0.0001157678,0.0003000185,0.000006609403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003540407,"about_ca_system_score_gemma":0.00001327685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008167579,"about_ca_topic_score_gemma":0.000001275727,"domain_scores_codex":[0.9990712,0.00005425095,0.0002772888,0.000169386,0.0002268191,0.0002010867],"domain_scores_gemma":[0.99889,0.0002555163,0.0001774438,0.0003101515,0.0001101881,0.0002566288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006068095,0.001128629,0.0003354721,0.00003502975,0.001166757,0.00001034954,0.002738454,0.0253079,0.1281406,0.6249707,0.01639077,0.1991685],"study_design_scores_gemma":[0.0008936824,0.0002757052,0.0009581141,0.00006223694,0.0003095097,0.00008382007,0.0008645011,0.8165525,0.01529566,0.06360015,0.1006178,0.0004862323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406973,0.00003764807,0.04397772,0.004340551,0.0000468026,0.0001614353,0.00002562867,0.00001860467,0.0106943],"genre_scores_gemma":[0.9966094,0.00001115617,0.002263906,0.0001624583,0.0004126233,0.000002971686,0.000001116073,0.0000239887,0.000512308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7912446,"threshold_uncertainty_score":0.3096048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027421483429737,"score_gpt":0.256059351775763,"score_spread":0.2457851369414656,"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."}}