{"id":"W2008077681","doi":"10.1063/1.2335689","title":"High resolution x-ray diffraction analysis of InGaAs∕InP superlattices","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Superlattice; Diffraction; X-ray crystallography; Molecular beam epitaxy; Materials science; Monolayer; Epitaxy; Lattice (music); Crystallography; Optoelectronics; Optics; Layer (electronics); Chemistry; Nanotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001225827,0.0001738078,0.000184284,0.0003286428,0.0001922992,0.0002636244,0.0001680779,0.00009249255,0.000749164],"category_scores_gemma":[0.0001988787,0.0001303882,0.00008849436,0.0002609695,0.000110063,0.0001958795,0.00009435917,0.0001721533,0.0001281956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142286,"about_ca_system_score_gemma":0.0001369635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001786651,"about_ca_topic_score_gemma":0.002284155,"domain_scores_codex":[0.9999208,0.000007292682,0.00000490416,0.00001389083,0.00003862578,0.00001441671],"domain_scores_gemma":[0.9998807,0.00002230512,0.0000197766,0.00001207172,0.00004894793,0.00001617036],"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":[0.00002841971,0.000004333975,0.0007717312,0.00002153571,0.000002767254,0.0000412391,0.00002676949,0.0001203061,0.997892,0.00006256575,0.00002924687,0.0009991789],"study_design_scores_gemma":[0.000009211938,0.00008304125,0.0273143,0.000005768874,0.00001468439,0.0002936338,0.0001934811,0.005483764,0.9643987,0.0000976923,0.002098215,0.000007474212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934546,0.0007939544,0.003935055,0.00003506917,0.000007003954,0.000008000094,0.0002392161,0.00006443099,0.001462713],"genre_scores_gemma":[0.9911509,0.0004022694,0.006600718,0.00001967059,0.00000428049,0.000008794847,0.0004124723,0.00002128068,0.001379653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001786651,"threshold_uncertainty_score":0.003552496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009064412882852632,"score_gpt":0.2166026731852384,"score_spread":0.2075382603023858,"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."}}