{"id":"W1922083113","doi":"10.1039/c5dt03596a","title":"Narrowing the gap: from semiconductor to semimetal in the homologous series of rare-earth zinc arsenides RE<sub>2−y</sub>Zn<sub>4</sub>As<sub>4</sub>·n(REAs) and Mn-substituted derivatives RE<sub>2−y</sub>Mn<sub>x</sub>Zn<sub>4−x</sub>As<sub>4</sub>·n(REAs) (RE = La–Nd, Sm, Gd)","year":2015,"lang":"en","type":"article","venue":"Dalton Transactions","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homologous series; Crystallography; Octahedron; Ternary operation; Stacking; Series (stratigraphy); Space group; Zinc; Group (periodic table); Chemistry; Materials science; Crystal structure; X-ray crystallography; Physics; Geology; Diffraction; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.007346758,0.004513629,0.004648542,0.003055597,0.00390115,0.002093012,0.004898801,0.002781156,0.000278946],"category_scores_gemma":[0.003121244,0.004097193,0.001920738,0.006919296,0.006084581,0.006712062,0.0009183747,0.005771276,0.0015356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626467,"about_ca_system_score_gemma":0.004086914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351672,"about_ca_topic_score_gemma":0.01094265,"domain_scores_codex":[0.9700742,0.006918824,0.005263375,0.006068938,0.005679547,0.005995144],"domain_scores_gemma":[0.9819241,0.005017387,0.001858423,0.005730265,0.002427165,0.003042717],"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":[0.002465653,0.001827547,0.000468244,0.0006174135,0.0009224352,0.0009172081,0.01792423,0.002589325,0.9565797,0.0002673661,0.002591671,0.01282913],"study_design_scores_gemma":[0.00559691,0.001449019,0.002505812,0.001217655,0.001100361,0.001255803,0.01578529,0.0005244147,0.9634303,0.001804662,0.001114579,0.004215138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752752,0.00302009,0.001923864,0.003018418,0.00311889,0.006311627,0.005259129,0.001459627,0.0006131502],"genre_scores_gemma":[0.9883777,0.003723231,0.0005503954,0.00131341,0.001185021,0.002107962,0.001671156,0.001026368,0.00004473194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01310252,"threshold_uncertainty_score":0.9992418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03631707019016815,"score_gpt":0.2692823143429195,"score_spread":0.2329652441527513,"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."}}