{"id":"W2003880027","doi":"10.1063/1.1361237","title":"InGaAs/InP quantum well intermixing studied by cross-sectional scanning tunneling microscopy","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Institute for Microstructural Sciences","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Quantum well; Scanning tunneling microscope; Quantum tunnelling; Condensed matter physics; Annealing (glass); Ion; Materials science; Ion implantation; Superlattice; Stress relaxation; Relaxation (psychology); Chemistry; Optoelectronics; Optics; Nanotechnology; Composite material; Physics","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":[0.0002446724,0.0002767039,0.0004242478,0.00006760233,0.0002960297,0.0002409349,0.0003310804,0.00006070695,0.0002053747],"category_scores_gemma":[0.000003420382,0.0002448376,0.0002468273,0.0002178764,0.00008651891,0.0002938608,0.00008342096,0.0005824331,0.00002365028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006212815,"about_ca_system_score_gemma":0.00007547739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003821617,"about_ca_topic_score_gemma":3.054033e-7,"domain_scores_codex":[0.9983008,0.00001843205,0.0007052029,0.0002531762,0.0003532876,0.0003691043],"domain_scores_gemma":[0.9985729,0.0001026368,0.0008262211,0.0001721993,0.00019305,0.0001329294],"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":[0.0005201963,0.0003258152,0.3763907,0.00004653247,0.0007140889,0.00001283607,0.001464608,0.01605941,0.5836164,0.01250008,0.00569299,0.00265634],"study_design_scores_gemma":[0.01378884,0.0007978306,0.06673265,0.0006748826,0.0005648263,0.000182645,0.01203095,0.02529158,0.5658823,0.256294,0.05400701,0.003752547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901405,0.0001974347,0.004889759,0.00001065561,0.0008206354,0.00008914521,0.00001709521,0.00001736618,0.003817418],"genre_scores_gemma":[0.9967455,0.00001471281,0.0005323149,0.0001307635,0.002468125,0.000003363043,0.00001770055,0.00004012464,0.00004740464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3096581,"threshold_uncertainty_score":0.9984187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834698517123567,"score_gpt":0.2997611973965951,"score_spread":0.2814142122253595,"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."}}