{"id":"W4378938698","doi":"10.1007/s10948-023-06569-6","title":"On Magnetic Field Screening and Expulsion in Hydride Superconductors","year":2023,"lang":"en","type":"article","venue":"Journal of Superconductivity and Novel Magnetism","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Superconductivity; Condensed matter physics; Magnetic field; Magnetic flux; Meissner effect; Flux (metallurgy); Physics; Signature (topology); Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133987,0.0002076198,0.0002250124,0.0008937905,0.000575408,0.0004354749,0.0003518848,0.0002306298,0.001801301],"category_scores_gemma":[0.0005071309,0.0001302968,0.00008225632,0.000369385,0.001005069,0.0005537287,0.0003992262,0.0003610019,0.000171383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575089,"about_ca_system_score_gemma":0.0001246743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000682126,"about_ca_topic_score_gemma":0.0004406476,"domain_scores_codex":[0.9998928,0.00001561334,0.00000438677,0.00001285247,0.00005060549,0.00002358121],"domain_scores_gemma":[0.9997098,0.0001380516,0.00005232364,0.00001959315,0.00004595882,0.00003423098],"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":[0.0008221943,0.00008253205,0.006336222,0.0001752422,0.0000208412,0.00496217,0.0006383842,0.001149443,0.9696465,0.006427919,0.0008658339,0.008872719],"study_design_scores_gemma":[0.00010501,0.0005087781,0.05599948,0.00004272491,0.00002805348,0.003744052,0.0005207402,0.01238748,0.909885,0.011197,0.005532163,0.00004934618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932331,0.000531112,0.0008510675,0.000216458,0.00001838777,0.000012591,0.00003904496,0.00006028274,0.005037912],"genre_scores_gemma":[0.9990187,0.0001729052,0.0001435147,0.00002279983,0.000018067,0.000002821974,0.00003131955,0.000007223171,0.0005825693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001801301,"threshold_uncertainty_score":0.00602597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150806008636875,"score_gpt":0.2239985789626507,"score_spread":0.2024905188762819,"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."}}