{"id":"W1976653828","doi":"10.1063/1.4711801","title":"Utility of the inverse partial fluorescence for electronic structure studies of battery materials","year":2012,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Saskatchewan; University of Waterloo; Regroupement Québécois sur les Matériaux de Pointe; Canadian Light Source (Canada); University of British Columbia","funders":"","keywords":"Fluorescence; Absorption (acoustics); Yield (engineering); Absorption spectroscopy; Saturation (graph theory); Ion; Electronic structure; Analytical Chemistry (journal); Chemistry; Spectroscopy; Battery (electricity); Inverse; Fluorescence spectroscopy; Materials science; Physics; Optics; Computational chemistry; Organic chemistry; Thermodynamics; Mathematics","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":[0.0002659692,0.000314683,0.0001728373,0.0005845668,0.0002458908,0.0003344494,0.0002990382,0.0003100256,0.0007403243],"category_scores_gemma":[0.0004894415,0.0001275986,0.0001781201,0.0002963109,0.0003318368,0.0006393425,0.0003444131,0.0003610274,0.0001603202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001581696,"about_ca_system_score_gemma":0.000131046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002265685,"about_ca_topic_score_gemma":0.0002490907,"domain_scores_codex":[0.9998868,0.00003133759,0.000004847646,0.00002783191,0.00003504373,0.00001416621],"domain_scores_gemma":[0.9998235,0.0000772057,0.00002378778,0.00002519742,0.00004125219,0.000009068691],"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":[0.0000780389,0.00001848222,0.003008972,0.0001308554,0.00001209288,0.0001356657,0.0001176244,0.00145738,0.9718466,0.002947487,0.0001336043,0.02011313],"study_design_scores_gemma":[0.000004483481,0.0001581033,0.006000613,0.00001887101,0.00001503518,0.0005453501,0.0001186755,0.01600841,0.9721162,0.002644699,0.002349679,0.0000197238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000458,0.003731804,0.08695948,0.0002668663,0.00002678013,0.00003266215,0.0002991199,0.0003428082,0.008294693],"genre_scores_gemma":[0.9822859,0.00114784,0.01562482,0.00003358171,0.000009875905,0.0000206278,0.00008793488,0.00003032047,0.0007591222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007403243,"threshold_uncertainty_score":0.002476633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556728954976709,"score_gpt":0.2591758893128243,"score_spread":0.2436085997630572,"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."}}