{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001022406,0.0001015318,0.0003618703,0.0001314616,0.0000250008,0.00001586617,0.00007676076,0.00005078831,0.00002294189],"category_scores_gemma":[0.000002606011,0.00009068324,0.0001191491,0.0003447354,0.00001970709,0.0001839929,0.000008251968,0.0001140142,0.000001762823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005952921,"about_ca_system_score_gemma":0.000007589776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002338702,"about_ca_topic_score_gemma":0.000004316586,"domain_scores_codex":[0.9992264,0.000008008974,0.0004169008,0.00006206387,0.000175573,0.0001110439],"domain_scores_gemma":[0.9994786,0.00004341532,0.0002747385,0.0001069758,0.00006954497,0.00002674775],"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":[0.0000165387,0.00001668847,0.00001656849,0.00001364593,0.0001387493,4.028065e-7,0.00003805693,0.4764015,0.5227413,0.0003230623,0.00005678256,0.0002366394],"study_design_scores_gemma":[0.0007758553,0.00008168277,0.01923865,0.00003844256,0.001711225,0.000002174725,0.0001699538,0.02113088,0.9373977,0.01780446,0.001316186,0.0003327721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871452,0.00008434524,0.01212106,8.959384e-7,0.0003110406,0.00003732425,0.00001161562,0.00002271237,0.0002657447],"genre_scores_gemma":[0.9966992,0.0000441412,0.002767307,0.000005360379,0.0004497251,0.000001252725,0.0000106756,0.00001657078,0.000005827453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4552706,"threshold_uncertainty_score":0.3697955,"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."}}