{"id":"W2932207509","doi":"10.1107/s1600576719003029","title":"Indexing grazing-incidence X-ray diffraction patterns of thin films: lattices of higher symmetry","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Crystallography","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Deutsches Elektronen-Synchrotron; Natural Sciences and Engineering Research Council of Canada; Austrian Science Fund; Deutsche Forschungsgemeinschaft","keywords":"Triclinic crystal system; Orthorhombic crystal system; Diffraction; Search engine indexing; Monoclinic crystal system; Crystallography; Materials science; X-ray crystallography; Anisotropy; Crystal structure; Condensed matter physics; Optics; Physics; Chemistry; Computer science; Artificial intelligence","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001544145,0.000360485,0.0009377479,0.001372021,0.00009129565,0.00008568604,0.0008360546,0.000274006,0.001161001],"category_scores_gemma":[0.00004995636,0.0003102564,0.0006162814,0.001039087,0.0002396657,0.0008505571,0.0001332414,0.0005870443,0.00001014849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004781429,"about_ca_system_score_gemma":0.00009451855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005780558,"about_ca_topic_score_gemma":0.000009349013,"domain_scores_codex":[0.9959044,0.000123538,0.001720031,0.000408151,0.001359844,0.0004840467],"domain_scores_gemma":[0.9944528,0.0005417368,0.003724021,0.0005783894,0.0005130041,0.0001900497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003892768,0.000320029,0.09186392,0.000385974,0.0001711749,0.000008680193,0.0003943639,0.001929725,0.9026775,0.001505927,0.0002128794,0.000140555],"study_design_scores_gemma":[0.004246133,0.001577972,0.8184981,0.001548441,0.0005879982,0.00008274218,0.006146488,0.0001356145,0.1487858,0.009942536,0.007243525,0.001204693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934579,0.0002734261,0.001481684,0.00004530217,0.001441469,0.0003201262,0.00003468084,0.00004607945,0.002899367],"genre_scores_gemma":[0.9935008,0.0001306195,0.00599741,0.0001249288,0.0001468648,0.000008938923,0.000004338252,0.00004663222,0.00003944732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7538917,"threshold_uncertainty_score":0.999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009462572854254983,"score_gpt":0.2454433274306459,"score_spread":0.2359807545763909,"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."}}