{"id":"W1779153118","doi":"10.1016/j.jallcom.2015.08.216","title":"Search for Fe magnetic ordering in the 40 K superconductor (Li0.8 Fe0.2)OHFeSe","year":2015,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperfine structure; Tetragonal crystal system; Ionic bonding; Superconductivity; Mössbauer spectroscopy; Magnetic moment; Quadrupole; Ab initio quantum chemistry methods; Chemistry; Ab initio; Debye model; Crystallography; Condensed matter physics; Lattice constant; Diffraction; Crystal structure; Ion; Atomic physics; Physics; Molecule","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":[0.0001036813,0.00008693784,0.0001242442,0.0005098957,0.0004882675,0.0003353803,0.0002064998,0.0002699521,0.001946861],"category_scores_gemma":[0.0002605213,0.000123936,0.00007850688,0.000218348,0.0002081485,0.0002250393,0.0001615672,0.0001699008,0.0002255868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605057,"about_ca_system_score_gemma":0.000217447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084984,"about_ca_topic_score_gemma":0.003028409,"domain_scores_codex":[0.9999535,0.000004166428,0.000003696457,0.000009526469,0.00001147672,0.00001768529],"domain_scores_gemma":[0.9998462,0.00004694342,0.00003716004,0.00001627544,0.00002650041,0.00002687064],"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":[0.0008336178,0.0001601482,0.04235705,0.0001927283,0.00001915775,0.0008348159,0.0003704754,0.00055255,0.9406318,0.002910276,0.0007097867,0.01042769],"study_design_scores_gemma":[0.0001547128,0.001070183,0.1332769,0.00007514565,0.0001000872,0.002196499,0.002212943,0.01212049,0.8322413,0.00349988,0.0130122,0.00003965536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986388,0.0000808932,0.0001052497,0.00004045302,0.000002317283,0.000002010853,0.00004914348,0.00001417671,0.001067072],"genre_scores_gemma":[0.998314,0.00005544807,0.0005150618,0.0000213512,0.000002642128,0.000002582105,0.0002002964,0.000004748823,0.0008838879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001946861,"threshold_uncertainty_score":0.00651294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07663766278178379,"score_gpt":0.3170283688133904,"score_spread":0.2403907060316066,"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."}}