{"id":"W2908649330","doi":"10.1016/j.jcrysgro.2019.01.014","title":"SiGe films and graded buffers grown by liquid phase epitaxy from different growth solution compositions","year":2019,"lang":"en","type":"article","venue":"Journal of Crystal Growth","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Materials science; Dislocation; Epitaxy; Substrate (aquarium); Liquid phase; Morphology (biology); Ultimate tensile strength; Crystallography; Phase (matter); Composite material; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009035356,0.000201871,0.0003716629,0.00009749301,0.00005919504,0.00006253949,0.0001594041,0.0001022064,0.0001598443],"category_scores_gemma":[0.0000152749,0.0001651292,0.0001321952,0.0000755487,0.00005873461,0.0004044494,0.00003517545,0.0003447125,0.00001103381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006738471,"about_ca_system_score_gemma":0.00001332158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002828087,"about_ca_topic_score_gemma":0.000002348464,"domain_scores_codex":[0.9988788,0.0000318628,0.0004230658,0.0001304459,0.0002762145,0.0002595795],"domain_scores_gemma":[0.9993452,0.0001238203,0.0001208991,0.00009671936,0.0000696913,0.000243642],"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":[0.0002741404,0.0002498004,0.0005202523,0.0001170262,0.0002242655,0.00002606139,0.0002716471,0.00006557765,0.9940169,0.001372798,0.002795998,0.00006556269],"study_design_scores_gemma":[0.03640997,0.01339758,0.05513847,0.002101787,0.001586041,0.0007556949,0.001719186,0.1602844,0.6944203,0.02614269,0.004150202,0.003893628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992887,0.001239899,0.003769663,0.0002264455,0.0003764033,0.0001200887,0.0001006002,0.00004823339,0.001231708],"genre_scores_gemma":[0.9989282,0.0003803032,0.0004511646,0.00007661111,0.00008008656,0.000002559662,0.00003242015,0.00002611508,0.00002246513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2995965,"threshold_uncertainty_score":0.6733774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006198989346485207,"score_gpt":0.2080206145060657,"score_spread":0.2018216251595804,"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."}}