{"id":"W2602129352","doi":"10.3390/en10030409","title":"Doping-Induced Isotopic Mg11B2 Bulk Superconductor for Fusion Application","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Superconductivity in MgB2 and Alloys","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health; Board of Research in Nuclear Sciences; Department of Industry, Innovation and Science, Australian Government; Australian Research Council; King Saud University; Australian Academy of Science; Australian Government","keywords":"Superconductivity; Fusion power; Boron; Materials science; Doping; Magnet; Fusion; Nuclear engineering; Superconducting magnet; Flux pinning; Condensed matter physics; Critical current; Nuclear physics; Optoelectronics; Plasma; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008870702,0.000281883,0.0001943415,0.0002770757,0.0002136257,0.0001922561,0.0001350557,0.0002318369,0.0008432668],"category_scores_gemma":[0.00008376096,0.000140699,0.0001019485,0.0002728067,0.0001271486,0.0001490969,0.000176002,0.0001801173,0.0003465224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002273163,"about_ca_system_score_gemma":0.0001983827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005218285,"about_ca_topic_score_gemma":0.001605223,"domain_scores_codex":[0.9999427,0.000007575672,0.000004547998,0.00001290057,0.00002127117,0.00001106799],"domain_scores_gemma":[0.9999588,0.000002296013,0.00001122579,0.000005249891,0.00001328297,0.000009299316],"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":[0.00002523547,0.000005085577,0.0001615426,0.00005120493,0.000002724258,0.00004758417,0.0000118757,0.00003290509,0.9986945,0.000139852,0.00005727465,0.0007701603],"study_design_scores_gemma":[0.00001150496,0.0001660515,0.00142071,0.00001082865,0.00001044889,0.0001752474,0.00002525887,0.0004510765,0.9913952,0.00004098516,0.006288117,0.000004697109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885926,0.001700671,0.00397822,0.0000896204,0.00005912192,0.00005897713,0.0003446872,0.0001081699,0.005067795],"genre_scores_gemma":[0.9923393,0.0006073225,0.005004196,0.00002455574,0.00001353688,0.00003120846,0.0002789107,0.00002910244,0.001671981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008432668,"threshold_uncertainty_score":0.002820969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094806790549961,"score_gpt":0.3005059085761947,"score_spread":0.2695578406706951,"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."}}