{"id":"W2913692699","doi":"10.1039/c8na00359a","title":"Iron doped gold cluster nanomagnets: <i>ab initio</i> determination of barriers for demagnetization","year":2019,"lang":"en","type":"article","venue":"Nanoscale Advances","topic":"Magnetism in coordination complexes","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Regional Municipality of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Nanomagnet; Cluster (spacecraft); Ab initio; Doping; Demagnetizing field; Materials science; Condensed matter physics; Ab initio quantum chemistry methods; Nanotechnology; Crystallography; Chemical physics; Chemistry; Physics; Molecule; Computer science; Magnetization; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003513649,0.0001838091,0.0002771534,0.000126733,0.00008797106,0.00005259525,0.0003269937,0.0001031418,0.001571707],"category_scores_gemma":[0.0003081475,0.0001801549,0.00007375841,0.0002208574,0.0001265697,0.0009105767,0.00006936845,0.00004829048,0.00008402877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004309152,"about_ca_system_score_gemma":0.00005677176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001238483,"about_ca_topic_score_gemma":0.00004424337,"domain_scores_codex":[0.99835,0.00009831385,0.0004968952,0.0004181362,0.0003517136,0.0002849567],"domain_scores_gemma":[0.9985682,0.0003971427,0.0003533607,0.0003141672,0.0002871978,0.00007997688],"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":[0.0001313521,0.00004892017,0.002041147,0.0004283919,0.000001624058,3.818579e-7,0.0002154703,0.000352052,0.967947,0.001167224,0.0012761,0.02639034],"study_design_scores_gemma":[0.002289868,0.001023593,0.001038296,0.0001080061,0.00002990655,0.00000600174,0.0002594679,0.004009005,0.9124901,0.003402009,0.0748734,0.0004703181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590883,0.001261234,0.02640219,0.0005000888,0.002131941,0.00177733,0.0001970967,0.0001574369,0.008484331],"genre_scores_gemma":[0.9692335,0.00006864133,0.02675961,0.0003473652,0.0001022387,0.0001808782,0.00005366961,0.00003068282,0.00322337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07359729,"threshold_uncertainty_score":0.999341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007808241023150742,"score_gpt":0.2534484019334117,"score_spread":0.245640160910261,"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."}}