{"id":"W4280595098","doi":"10.1088/1361-6641/ac7070","title":"Chemical imaging of oxide confinement layers in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mtext>GaAs</mml:mtext> </mml:mrow> <mml:mrow> <mml:mo>/</mml:mo> </mml:mrow> <mml:msub> <mml:mrow> <mml:mtext>Al</mml:mtext> </mml:mrow> <mml:mrow> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> <mml:msub> <mml:mrow> <mml:mtext>Ga</mml:mtext> </mml:mrow> <mml:mrow> <mml:mn>1</mml:mn> <mml:mo>−</mml:mo> <mml:mi>x</mml:mi> </mml:mrow> </mml:msub> <mml:mrow> <mml:mtext>As</mml:mtext> </mml:mrow> </mml:math> VCSELs","year":2022,"lang":"lv","type":"article","venue":"Semiconductor Science and Technology","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; McMaster University","keywords":"Materials science; Analytical Chemistry (journal); Chemistry","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.009530679,0.004708184,0.001997695,0.005005803,0.006635732,0.006244848,0.01320898,0.01054111,0.8487693],"category_scores_gemma":[0.007861674,0.009602736,0.006844399,0.009622822,0.01318227,0.007827151,0.01163468,0.01034382,0.006013513],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988663,"about_ca_system_score_gemma":0.008565442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009925222,"about_ca_topic_score_gemma":0.006610546,"domain_scores_codex":[0.9565091,0.002100916,0.008711298,0.009309489,0.01093385,0.01243539],"domain_scores_gemma":[0.9693226,0.00595312,0.008264769,0.009415143,0.001237688,0.005806697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004230862,0.001565317,0.0001290168,0.003997442,0.005464802,0.006236108,0.004613868,0.004176904,0.06846773,0.2796142,0.6132622,0.008241552],"study_design_scores_gemma":[0.007684158,0.005048252,0.0002317883,0.00400995,0.005242316,0.008110094,0.01172248,0.02123011,0.9106452,0.0006188841,0.01702976,0.008427034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4492911,0.007246228,0.0008152372,0.002863959,0.008458918,0.0002389755,0.001492843,0.001237716,0.528355],"genre_scores_gemma":[0.9608648,0.006755561,0.004731006,0.006572395,0.005076691,0.006443108,0.004326244,0.004010602,0.00121963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8427558,"threshold_uncertainty_score":0.9970551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456302797511164,"score_gpt":0.2359399732456191,"score_spread":0.2213769452705075,"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."}}