{"id":"W4413968084","doi":"10.1021/acs.cgd.5c00629","title":"Correlated Surface Morphology and Sc Content Tuning in ScGaN Epilayers by Molecular Beam Epitaxy for Photonic Devices","year":2025,"lang":"en","type":"article","venue":"Crystal Growth & Design","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Molecular beam epitaxy; Morphology (biology); Materials science; Optoelectronics; Epitaxy; Photonics; Nanotechnology; Layer (electronics); Biology","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"],"consensus_categories":[],"category_scores_codex":[0.0002739669,0.0002561992,0.0003532565,0.0001936231,0.00005989591,0.00003681538,0.0002386624,0.0002852776,0.000005877811],"category_scores_gemma":[0.0002883419,0.0002746475,0.00004771502,0.0003599215,0.0001580698,0.00009601786,0.00007243054,0.0002826108,0.000002505969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628995,"about_ca_system_score_gemma":0.00003805897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003592608,"about_ca_topic_score_gemma":0.000003592099,"domain_scores_codex":[0.9987541,0.0000411972,0.0003136211,0.0003320014,0.00009813306,0.0004609203],"domain_scores_gemma":[0.9992588,0.0003839429,0.00004589598,0.0001938585,0.00005936648,0.00005814396],"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":[0.00004338732,0.00002594987,0.001317103,0.0001495445,0.00009912538,0.00005547081,0.00007084735,0.021188,0.9745121,0.000526542,0.001218442,0.00079347],"study_design_scores_gemma":[0.002394636,0.0002747346,0.001178005,0.0003472935,0.0001294873,0.00003451324,0.00104287,0.307521,0.6830187,0.002736696,0.0005871254,0.0007348896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6524064,0.006923151,0.3393725,0.00008289595,0.0001153834,0.0005931052,0.00002108367,0.0003114461,0.0001740653],"genre_scores_gemma":[0.9920162,0.0001519383,0.007574408,0.00006619601,0.000003038104,0.00006686857,0.00001167262,0.00004404578,0.00006560847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3396098,"threshold_uncertainty_score":0.9999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548685226690656,"score_gpt":0.2179160278983742,"score_spread":0.2024291756314676,"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."}}