{"id":"W2169233108","doi":"10.1002/pssa.201100129","title":"High‐efficiency InGaN/GaN quantum well structures on large area silicon substrates","year":2011,"lang":"en","type":"article","venue":"physica status solidi (a)","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Brockhouse Institute for Materials Research","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Optoelectronics; Epitaxy; Silicon; Substrate (aquarium); Nucleation; Quantum efficiency; Wafer; Dislocation; Layer (electronics); Nanotechnology; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009636216,0.0004109099,0.0004538862,0.00007776714,0.0002397205,0.0001058277,0.0003107146,0.00006148558,0.001885265],"category_scores_gemma":[0.000005207115,0.0003507005,0.0001727156,0.0001712559,0.00008117763,0.000204283,0.0000533922,0.00023125,0.0002803201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655945,"about_ca_system_score_gemma":0.00008094648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158633,"about_ca_topic_score_gemma":0.00001881421,"domain_scores_codex":[0.9978945,0.0000728909,0.0003482968,0.0005338488,0.000246962,0.0009035186],"domain_scores_gemma":[0.9988568,0.00006855343,0.000254774,0.0005164681,0.00008410086,0.0002193003],"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":[0.0001952265,0.001800655,0.01222967,0.00009598587,0.0002387741,0.00001125987,0.005065793,0.0001502073,0.4940791,0.4818363,0.003520829,0.0007761665],"study_design_scores_gemma":[0.001121105,0.0003500907,0.01269329,0.00004582334,0.00008050547,4.522975e-7,0.001453589,0.0002396191,0.9309609,0.04862535,0.003734118,0.000695151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887137,0.00003116437,0.00007902528,0.00003258842,0.0006262203,0.0002706989,0.0004384012,0.0001076589,0.0097005],"genre_scores_gemma":[0.9989505,0.000005482632,0.0000585059,0.00011426,0.0004700124,0.00003083851,0.0002148034,0.00005758834,0.00009794533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4368818,"threshold_uncertainty_score":0.9998945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468887344784863,"score_gpt":0.2507848379437181,"score_spread":0.2260959644958694,"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."}}