{"id":"W1546278645","doi":"10.1021/cm402191d","title":"Magnesium Double Nitride Mg<sub>3</sub>GaN<sub>3</sub> as New Host Lattice for Eu<sup>2+</sup> Doping: Synthesis, Structural Studies, Luminescence, and Band-Gap Determination","year":2013,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Inorganic Chemistry and Materials","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Western Canada Research Grid; National Research Council Canada; Compute Canada","keywords":"Full width at half maximum; Luminescence; Materials science; Nitride; Doping; Band gap; Excited state; Analytical Chemistry (journal); Gallium nitride; Yttrium; Photoluminescence; Lattice constant; Optoelectronics; Diffraction; Optics; Chemistry; Atomic physics; Oxide; Nanotechnology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007196395,0.0002135493,0.0002265493,0.0000950523,0.0001112508,0.0002308219,0.0003145246,0.0002243485,0.0005340258],"category_scores_gemma":[0.00007463049,0.0001444294,0.0001133584,0.0001314158,0.0001376147,0.0001448936,0.0002269217,0.0001753903,0.0002241685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002715326,"about_ca_system_score_gemma":0.0001111765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005199225,"about_ca_topic_score_gemma":0.001431898,"domain_scores_codex":[0.9999344,0.000009628694,0.000003069868,0.00001285727,0.00002762665,0.00001233045],"domain_scores_gemma":[0.999958,0.00000479663,0.00001443702,0.000006405405,0.00000633232,0.00001004363],"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":[0.0000562451,0.0000058168,0.0003366939,0.00004282069,0.000004798002,0.00005798714,0.000009169439,0.0002090538,0.9974796,0.0001881748,0.00005321448,0.00155645],"study_design_scores_gemma":[0.00001903862,0.0001201071,0.002325035,0.000006003475,0.00001536917,0.0004059049,0.00002190258,0.002565185,0.9902955,0.00008190067,0.004138913,0.000005217631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911013,0.0007082043,0.004766152,0.00005663487,0.0000149011,0.00003089491,0.0001827561,0.00009721354,0.003041969],"genre_scores_gemma":[0.9909657,0.0002401557,0.007162946,0.00001957436,0.000003166224,0.00001411772,0.0001335778,0.0000228198,0.001437887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005340258,"threshold_uncertainty_score":0.001970112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954461256652667,"score_gpt":0.2498976693549595,"score_spread":0.2303530567884328,"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."}}