{"id":"W4301374063","doi":"10.1103/physrevb.106.144101","title":"Density changes in amorphous silicon induced by swift heavy ions","year":2022,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Argonne National Laboratory; GSI Helmholtzzentrum für Schwerionenforschung; Natural Sciences and Engineering Research Council of Canada; Office of Science; Northwestern University; DuPont; Fonds de recherche du Québec – Nature et technologies; Dow Chemical Company; U.S. Department of Energy","keywords":"Ion track; Ion; Irradiation; Materials science; Amorphous solid; Silicon; Swift heavy ion; Atomic physics; RADIUS; Scattering; Doping; Analytical Chemistry (journal); Physics; Nuclear physics; Crystallography; Fluence; Optics; Chemistry; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003576078,0.0005075242,0.001578842,0.0001020571,0.0002159685,0.00003535371,0.0004897835,0.00003538316,0.0003159376],"category_scores_gemma":[0.0002106235,0.000470506,0.0007065795,0.001685648,0.00004780134,0.0001988429,0.0002458325,0.001163045,0.0004508149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272225,"about_ca_system_score_gemma":0.00003618621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000142524,"about_ca_topic_score_gemma":0.0000840341,"domain_scores_codex":[0.9971727,0.000338341,0.00060636,0.0006108037,0.0006488504,0.0006229753],"domain_scores_gemma":[0.998463,0.0002871815,0.0001668235,0.0007482841,0.0000834842,0.0002512391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005709194,0.006394792,0.0009201681,0.01644029,0.000852734,0.0001373934,0.0006116594,0.003365281,0.5801816,0.02561458,0.1521944,0.21323],"study_design_scores_gemma":[0.001350234,0.001039695,0.003015839,0.01589031,0.002572783,0.00006116659,0.0001732972,0.2006876,0.05943756,0.01335913,0.6977363,0.004676141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466807,0.04666803,0.000304968,0.003463559,0.0002864454,0.001056147,0.0001022387,0.0002870897,0.001150795],"genre_scores_gemma":[0.9245027,0.07177342,0.00001790319,0.002592176,0.0002609898,0.0006007646,0.0001091514,0.00007646001,0.0000664202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5455419,"threshold_uncertainty_score":0.9997746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423133233773583,"score_gpt":0.321636957818615,"score_spread":0.3074056254808791,"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."}}