{"id":"W3101371354","doi":"","title":"Effects of substrate temperature on indium gallium nitride nanocolumn crystal growth","year":2011,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Indium; Materials science; Gallium; Microstructure; Amorphous solid; Substrate (aquarium); Chemical engineering; Gallium nitride; Indium gallium nitride; Evaporation; Crystal (programming language); Nanotechnology; Optoelectronics; Metallurgy; Layer (electronics); Crystallography; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001480647,0.0003746449,0.0004744637,0.0003157427,0.0001409826,0.0001161312,0.0005015804,0.0001836003,0.0001295431],"category_scores_gemma":[0.000006542356,0.0003884294,0.0002272463,0.0003173609,0.00009779591,0.000713843,0.0001288362,0.0004234649,0.00006703092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005139631,"about_ca_system_score_gemma":0.0001132046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004424421,"about_ca_topic_score_gemma":0.0000639281,"domain_scores_codex":[0.9983363,0.000178989,0.0002896752,0.0004941307,0.000264848,0.0004360224],"domain_scores_gemma":[0.9988053,0.00006616292,0.0002989614,0.0003899026,0.0001941686,0.0002454591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002402925,0.000296908,0.7385001,0.0001988526,0.0001298691,0.00009910588,0.0003195217,8.392142e-7,0.2597546,0.0004387646,0.000001369154,0.0000198034],"study_design_scores_gemma":[0.001055731,0.0002218946,0.4959743,0.0001775746,0.0001038855,0.00000307355,0.0001165323,1.03595e-8,0.5018114,0.0001904426,0.00008677033,0.0002584111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982235,0.00001656006,0.00001543277,0.00001688264,0.0003134685,0.0005424031,0.00009069612,0.00006755115,0.000713538],"genre_scores_gemma":[0.998075,0.00000574839,0.00003237562,0.00009976434,0.000128213,0.00000350003,0.00004862007,0.00004734769,0.001559416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2425258,"threshold_uncertainty_score":0.9998568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405485120847466,"score_gpt":0.254640679273346,"score_spread":0.2140921671885994,"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."}}