{"id":"W2106800888","doi":"10.1017/s1431927612006551","title":"Defining a minimum analytical mass in geological reference samples using μXRF mapping capacity","year":2012,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005816949,0.0003619504,0.0007429751,0.0004064137,0.0003066737,0.0001304572,0.0002325391,0.0001446787,0.0006753769],"category_scores_gemma":[0.00002535138,0.0003296913,0.000260396,0.0009612832,0.0002616991,0.0003462165,0.0001216195,0.0004333082,0.00004906634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008768647,"about_ca_system_score_gemma":0.00004823717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220048,"about_ca_topic_score_gemma":0.00005340743,"domain_scores_codex":[0.9975783,0.0001581057,0.0005852651,0.0005714661,0.0001744311,0.0009324793],"domain_scores_gemma":[0.9990429,0.0001292987,0.0001829709,0.0003512228,0.00005667309,0.0002369107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001992319,0.0001300067,0.76615,0.00001263077,0.0002379956,0.000002122353,0.0004909835,0.00003826989,0.2277978,0.004643895,0.00002488035,0.000451476],"study_design_scores_gemma":[0.004341932,0.0002293606,0.5819318,0.0006240681,0.005787501,0.00004398763,0.01784577,0.0607085,0.3071103,0.01104159,0.00517267,0.005162564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642478,0.000913761,0.03369062,0.00006843945,0.00004176042,0.00009277689,0.00005714523,0.0000228105,0.0008649384],"genre_scores_gemma":[0.9738449,0.00003685456,0.02569933,0.00009401394,0.0001326643,0.00001052059,0.00007233459,0.00001754037,0.00009186579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1842182,"threshold_uncertainty_score":0.9999155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03827257087514649,"score_gpt":0.2897726464153431,"score_spread":0.2515000755401966,"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."}}