{"id":"W2026507304","doi":"10.1016/j.apsusc.2009.11.060","title":"A Monte Carlo simulation study of Nitrogen on LiF(001)","year":2009,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Monte Carlo method; Tilt (camera); Molecule; Polar; Symmetry (geometry); Nitrogen; Orientation (vector space); Molecular physics; Materials science; Adsorption; Range (aeronautics); Condensed matter physics; Chemistry; Crystallography; Physics; Geometry; Physical chemistry; Mathematics","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":[0.0001020416,0.0001234101,0.0001753589,0.00002631673,0.0001756537,0.00001627116,0.000250079,0.00001018676,0.000007701917],"category_scores_gemma":[0.000005291266,0.0001104353,0.0000263827,0.0004576614,0.0001392274,0.0001070282,0.00006258171,0.00009424211,0.00001831159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002819602,"about_ca_system_score_gemma":0.00002274631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003632359,"about_ca_topic_score_gemma":6.07788e-7,"domain_scores_codex":[0.9988961,0.000006117457,0.0001634593,0.0003200515,0.0003744192,0.0002398086],"domain_scores_gemma":[0.9993984,0.00007159554,0.0001008659,0.0002826331,0.00009022157,0.00005636123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002763903,0.0008499519,0.003992854,0.000001365326,0.00001427714,1.536351e-7,0.001060087,0.8945417,0.09033123,0.004178281,0.00001929306,0.004983152],"study_design_scores_gemma":[0.005580846,0.001610366,0.01890318,0.00004422447,0.0001172426,9.636167e-8,0.01444138,0.04394056,0.6149724,0.2985074,0.0003158445,0.001566406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869468,0.000005729535,0.0002935337,0.0000181871,0.00002246733,0.0002863577,0.000004798555,0.0000234595,0.01239863],"genre_scores_gemma":[0.9995324,1.6234e-7,0.00036001,0.00002755477,0.00003427622,0.000005297145,5.610213e-7,0.000005662235,0.00003408899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8506011,"threshold_uncertainty_score":0.450342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353444655513212,"score_gpt":0.2795712886856338,"score_spread":0.2660368421305017,"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."}}