{"id":"W2074010837","doi":"10.1016/j.micron.2007.10.004","title":"Fourier-ratio deconvolution and its Bayesian equivalent","year":2007,"lang":"en","type":"article","venue":"Micron","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; National Institute for Nanotechnology","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Deconvolution; Fourier transform; Extrapolation; Mathematics; Kernel (algebra); Algorithm; Computational physics; Optics; Physics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.005033085,0.0008596187,0.0009585356,0.001570402,0.0005594578,0.001495042,0.001908802,0.001591672,0.004133422],"category_scores_gemma":[0.01282447,0.0005394177,0.0008811577,0.001140567,0.002330163,0.004147935,0.00209548,0.001452798,0.001061551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005687,"about_ca_system_score_gemma":0.001167028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002641401,"about_ca_topic_score_gemma":0.001951295,"domain_scores_codex":[0.9983265,0.0006465038,0.00008380934,0.0003374798,0.0005124381,0.00009328188],"domain_scores_gemma":[0.996174,0.00222513,0.0004413849,0.0005519822,0.0005034597,0.0001039752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001153162,0.00004554516,0.0004797797,0.0001370916,0.00005882868,0.00006537539,0.0001167779,0.049907,0.002695695,0.8568149,0.002039948,0.08752382],"study_design_scores_gemma":[0.00001242429,0.00002604914,0.0006715498,0.00002900845,0.0000271061,0.000246047,0.00002569999,0.5087303,0.002620725,0.4827366,0.004829168,0.00004529783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006199476,0.0003989614,0.9895098,0.000323213,0.00003561796,0.0000138496,0.0000739771,0.0001195316,0.00332563],"genre_scores_gemma":[0.2905324,0.002090725,0.6821708,0.0006417786,0.0004766811,0.0001328539,0.000360647,0.0003377433,0.02325639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005033085,"threshold_uncertainty_score":0.02661783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187728343244678,"score_gpt":0.2819926643404439,"score_spread":0.2701153809079971,"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."}}