{"id":"W4398165774","doi":"10.1103/physrevb.109.174523","title":"Magnetic and structural properties of the iron silicide superconductor LaFeSiH","year":2024,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environmental Studies Research Funds; European Synchrotron Radiation Facility; Agence Nationale de la Recherche","keywords":"Silicide; Superconductivity; Condensed matter physics; Materials science; Metallurgy; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006748832,0.0005433195,0.001369639,0.00005376449,0.0001760592,0.0001229079,0.0009817093,0.00005152465,0.0005116372],"category_scores_gemma":[0.001176997,0.0002954729,0.000604589,0.0008015177,0.001009166,0.0005846712,0.0005459496,0.0006594695,0.000559209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009988868,"about_ca_system_score_gemma":0.0002510407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00016075,"about_ca_topic_score_gemma":0.00001138864,"domain_scores_codex":[0.9955564,0.0008275946,0.0007421902,0.0009217663,0.001224101,0.0007279307],"domain_scores_gemma":[0.9978467,0.0004294642,0.0001052251,0.001131293,0.0002077246,0.0002796129],"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":[0.00000813806,0.00009337859,0.00008454691,0.02245376,0.00001277506,0.000005717754,0.0001880994,0.000001240944,0.9508997,0.01841338,0.001500669,0.006338633],"study_design_scores_gemma":[0.0003496534,0.000578452,0.001713188,0.04315944,0.0008724536,0.00005264491,0.0000579191,0.004944347,0.9159231,0.01931327,0.01186061,0.00117495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7715726,0.2236115,0.000005039648,0.002841922,0.0002494711,0.001349403,0.00005024441,0.00007704868,0.000242744],"genre_scores_gemma":[0.9640933,0.0337572,0.00003815714,0.001160203,0.0004823151,0.0001890341,0.000007401861,0.00006946779,0.0002029393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1925206,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877834129357981,"score_gpt":0.355927592261074,"score_spread":0.3271492509674942,"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."}}