{"id":"W2504725510","doi":"10.1201/b13727-3","title":"Synthesis and Physical Properties of the New Potassium Iron Selenide Superconductor K0.80Fe1.76Se2","year":2012,"lang":"en","type":"book-chapter","venue":"Pan Stanford Publishing eBooks","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; McGill University","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Multidisciplinary University Research Initiative; Canada Research Chairs; Alfred P. Sloan Foundation; National High Magnetic Field Laboratory; National Science Foundation; Iowa State University; Fonds Québécois de la Recherche sur la Nature et les Technologies; U.S. Department of Energy","keywords":"Selenide; Superconductivity; Materials science; Potassium; Iron-based superconductor; Condensed matter physics; Metallurgy; Physics; Selenium","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":[0.0001153712,0.0002232929,0.0002211086,0.0002914048,0.0002129318,0.0004015218,0.0001522959,0.0001740381,0.002030248],"category_scores_gemma":[0.00007270907,0.0001708461,0.000162772,0.000224705,0.0001598782,0.0006549425,0.0002053276,0.0002144628,0.0008231064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002194538,"about_ca_system_score_gemma":0.0001230112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003291097,"about_ca_topic_score_gemma":0.001221949,"domain_scores_codex":[0.9999597,0.000002216198,0.000002560111,0.000007972551,0.00002170711,0.000005887949],"domain_scores_gemma":[0.9999801,0.000003225614,0.000003532678,0.000002816829,0.000006407104,0.000003862086],"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":[0.00008653744,0.00004719654,0.0003616257,0.0005523229,0.00001626733,0.0004164887,0.0001884166,0.0005444991,0.9261245,0.004132218,0.003874374,0.06365556],"study_design_scores_gemma":[0.00002237246,0.0003236716,0.003574935,0.00005354202,0.00002808658,0.001325192,0.00009036039,0.001003099,0.8015267,0.0008719913,0.1911516,0.00002843224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8236352,0.05643372,0.01042657,0.0009814692,0.0007098282,0.00007565124,0.001158371,0.0003121066,0.106267],"genre_scores_gemma":[0.6708185,0.02669488,0.01698508,0.0002356604,0.0001749284,0.00005152062,0.001853566,0.000253024,0.2829329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002030248,"threshold_uncertainty_score":0.00679189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04663510830223805,"score_gpt":0.241033074260265,"score_spread":0.194397965958027,"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."}}