{"id":"W2020620088","doi":"10.1063/1.1355011","title":"Characterization of defects in doped InGaAsN grown by molecular-beam epitaxy","year":2001,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Molecular beam epitaxy; Doping; Hall effect; Materials science; Epitaxy; Characterization (materials science); Optoelectronics; Fermi level; Analytical Chemistry (journal); Chemistry; Nanotechnology; Electrical resistivity and conductivity; Physics; Electron","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":[0.00004402515,0.0001843566,0.0002407917,0.00004242166,0.00003507423,0.00002667999,0.0001575448,0.00003314542,0.00005627039],"category_scores_gemma":[6.762837e-7,0.0001875707,0.00007262309,0.00027792,0.00004525346,0.0001164502,0.00003692915,0.0001414855,0.00001122439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001497818,"about_ca_system_score_gemma":0.00001149552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001461347,"about_ca_topic_score_gemma":6.505373e-7,"domain_scores_codex":[0.9990897,0.00001771137,0.0002377184,0.000257049,0.0001487859,0.0002490137],"domain_scores_gemma":[0.9995104,0.00002853685,0.0001796658,0.0002210394,0.0000161453,0.00004422829],"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":[0.00001510303,0.00005333642,0.01223504,0.00001103838,0.00002838648,0.000001150697,0.0002001655,0.0001182192,0.9714999,0.01408098,0.0001130455,0.001643698],"study_design_scores_gemma":[0.0006614247,0.00001146998,0.006086757,0.00001708823,0.00002042549,2.914004e-7,0.00007094467,0.00004213549,0.9898549,0.002441576,0.0005219187,0.0002710084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948159,0.000009909515,0.00330486,0.0000786662,0.00007456026,0.000208968,0.00002984638,0.00001846175,0.001458782],"genre_scores_gemma":[0.9985881,0.000002145509,0.00004827162,0.000813615,0.0001544043,0.00003167017,0.0003292294,0.00002709015,0.000005465736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01835512,"threshold_uncertainty_score":0.7648911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006610232976173502,"score_gpt":0.2082696792831141,"score_spread":0.2016594463069406,"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."}}