{"id":"W4307794128","doi":"10.1016/j.net.2022.10.040","title":"Degradation of thin carbon-backed lithium fluoride targets bombarded by 68 MeV 17O beams","year":2022,"lang":"en","type":"article","venue":"Nuclear Engineering and Technology","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; TRIUMF","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; Ministry of Science, ICT and Future Planning; Hanyang University; National Research Foundation of Korea; TRIUMF","keywords":"Lithium fluoride; Sputtering; Fluence; Materials science; Irradiation; Ion; Ion beam; Evaporation; Silicon; Thin film; Radiation damage; Beam (structure); Lattice (music); Lithium (medication); Carbon fibers; Thermal; Atomic physics; Analytical Chemistry (journal); Chemistry; Optics; Optoelectronics; Composite material; Nanotechnology; Nuclear physics; Composite number","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":[],"consensus_categories":[],"category_scores_codex":[0.00007290649,0.0001319955,0.0002073579,0.0003085531,0.00007507125,0.00001095861,0.0001318708,0.0001003468,0.00008859173],"category_scores_gemma":[0.00002567731,0.0001508947,0.00004261715,0.0004465794,0.00002512017,0.00004774113,0.00006749288,0.0003570334,0.000004557727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000631376,"about_ca_system_score_gemma":0.000005097925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005568556,"about_ca_topic_score_gemma":0.000001313136,"domain_scores_codex":[0.9993393,0.000008013744,0.0002031952,0.0001549421,0.0001057224,0.0001887793],"domain_scores_gemma":[0.9996958,0.00002130939,0.00003394948,0.0001898337,0.00002704511,0.00003205235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001028405,0.00007192983,0.000295717,0.0001065316,0.000320221,0.00001497747,0.0002713975,0.4189533,0.566869,0.002178431,0.005237902,0.00567031],"study_design_scores_gemma":[0.0002483707,0.00008229919,0.00004519418,0.00001619782,0.0000455264,0.00003353088,0.0003373531,0.841996,0.03604471,0.00006484693,0.1208384,0.0002476581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961357,0.001143543,0.0009281651,0.0003191167,0.0003041124,0.00007027003,0.00002472958,0.0007751874,0.000299245],"genre_scores_gemma":[0.9976982,0.0001122445,0.001895466,0.000007809771,0.00001413369,0.00001586482,0.00001903043,0.00004603069,0.0001911799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5308243,"threshold_uncertainty_score":0.6153308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002213695854967743,"score_gpt":0.1620453302531131,"score_spread":0.1598316343981454,"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."}}