{"id":"W4407125388","doi":"10.1088/1361-648x/adb233","title":"First-principles calculation of the stopping power of protons in hexagonal boron nitride with different stacking sequences","year":2025,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Natural Science Foundation of Heilongjiang Province; National Natural Science Foundation of China","keywords":"Stacking; Stopping power; Density functional theory; Electron; Molecular physics; Proton; Atomic physics; Materials science; Condensed matter physics; Chemistry; Ion; Computational chemistry; Physics; Nuclear physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004343876,0.0001122932,0.00031836,0.0001002854,0.00004694178,0.00004854614,0.0002806929,0.00003741899,0.0001356492],"category_scores_gemma":[0.00003698475,0.0000663905,0.0000864332,0.0001756373,0.0001576321,0.0001617096,0.00008115805,0.0001424416,0.000001330936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007354096,"about_ca_system_score_gemma":0.0002585358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006686511,"about_ca_topic_score_gemma":0.00004023768,"domain_scores_codex":[0.9985711,0.0001370562,0.0005127151,0.0001131874,0.0004872014,0.0001787503],"domain_scores_gemma":[0.9988861,0.000140111,0.0004993997,0.0001809839,0.0002641812,0.00002921802],"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":[0.0002168267,0.0001219114,0.04966962,0.0002634069,0.00002884025,0.000004537659,0.0005169101,0.005920502,0.9425341,0.0006401827,0.0000459834,0.00003715331],"study_design_scores_gemma":[0.0006848032,0.00009074441,0.07843214,0.0009903725,0.00002634448,0.000003419587,0.0001667702,0.0002146648,0.9175112,0.001769295,0.00003306264,0.00007720353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983309,0.00003760387,0.0005348498,0.0004331869,0.0001650851,0.0002596211,0.00001286119,0.000002559212,0.0002233516],"genre_scores_gemma":[0.9996549,0.000002514206,0.000142447,0.00009231203,0.00003247778,0.00001003951,6.042293e-7,0.000008084654,0.00005654616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02876252,"threshold_uncertainty_score":0.2707326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715584538727121,"score_gpt":0.2659114656274317,"score_spread":0.2487556202401605,"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."}}