{"id":"W2655608296","doi":"10.6000/1927-5129.2017.13.57","title":"Growth of Magnesium Oxide Thin Films Using Molecular Beam Epitaxy","year":2017,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"ZnO doping and properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Molecular beam epitaxy; Materials science; Annealing (glass); Thin film; Substrate (aquarium); Magnesium; Optoelectronics; Oxide; Spintronics; Atomic layer epitaxy; Atomic force microscopy; Surface finish; Surface roughness; Epitaxy; Nanotechnology; Layer (electronics); Atomic layer deposition; Metallurgy; Composite material; Condensed matter physics; Ferromagnetism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002362977,0.0001284556,0.0003256247,0.0001274373,0.0006026117,0.0003151279,0.001262472,0.00005238421,0.0001007327],"category_scores_gemma":[0.0002224625,0.00008703562,0.00009526294,0.0001105048,0.0009533421,0.0005112458,0.0001411014,0.0001299475,0.00001493014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001904579,"about_ca_system_score_gemma":0.0002905416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000140173,"about_ca_topic_score_gemma":0.000002441783,"domain_scores_codex":[0.9982886,0.00004499836,0.0004905924,0.0001958627,0.0007032242,0.000276752],"domain_scores_gemma":[0.9983426,0.00006027597,0.001053854,0.0002797772,0.0001714588,0.000092023],"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":[0.00003108418,0.00002810138,0.0005678359,0.00003663027,0.000004232189,0.00001142204,0.0002905368,0.002761432,0.994644,0.001371839,0.000127567,0.000125362],"study_design_scores_gemma":[0.0002374895,0.0001571377,0.001795471,0.00008481651,0.00002961781,0.00005324096,0.0004274205,0.0008489074,0.9923398,0.003849929,0.00004270135,0.0001334573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937894,0.0003283776,0.0007962855,0.0003420977,0.0005308376,0.00006748449,0.000002718394,0.000008911609,0.004133919],"genre_scores_gemma":[0.9819325,0.000009946559,0.01779613,0.0001106798,0.00009079584,0.000001019371,6.156294e-8,0.000007195117,0.00005171453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01699984,"threshold_uncertainty_score":0.4634863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646409626415743,"score_gpt":0.2720646793601357,"score_spread":0.2356005830959783,"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."}}